phd scholarships big data

15 Great Big Data and Data Science Scholarships

Soaring demand for scientists to analyze the 2.5 quintillion bytes of data created daily has ignited an increase in big data and data science scholarships .

Data science is an interdisciplinary STEM field that is offering bachelor’s to doctoral degrees focused on extracting knowledge from volumes of collected data during research. According to Analytics India Magazine , in addition to the recession associated with Covid-19, there will also be an uprise in automation for businesses, and with that if data scientists do not upskill and re-skill themselves, there will be a shortage of skilled data scientists in the industry. Studying big data can prepare you for abundant positions like:

• data analyst
• database administrator
• data architect
• data engineer
• analytics consultant
• quantitative analyst

There are plenty of scholarships data science students can apply for! Turn your love for numbers into dollar signs by applying for some of the following money-saving data analytics scholarships . If you are looking to truly make your mark in this field, you will likely find yourself looking for the best data science masters programs so don’t be shy when it comes to applying for scholarships!

Data Science Scholarships 2022

1. acm sighpc computational & data science fellowship.

Deadline: April 30th

The Association for Computing Machinery’s (ACM) Special Interest Group on High Performance Computing (SIGHPC) provides the Computational & Data Science Fellowship worth $15,000 annually to master’s or doctoral students conducting research with large-scale big data. Eligible nominees will be females or members of racial minority groups who have completed less than half of their computing degrees at accredited U.S. colleges.

ACM SIGHPC Computational & Data Science Fellowship

2 Penn Plaza, Suite 701

New York, NY 10121

(212) 869-7440

[email protected]

Scholarship Link

2. Acxiom Corporation Diversity Scholarship

Deadline: December 31st

As a publicly traded marketing analytics firm founded in 1969, Acxiom Corporation proudly began the Diversity Scholarship Initiative to award $5,000 yearly to nine full-time college students majoring in:

• computer science
• computer information systems
• data science
• information quality
• related fields

These data science specific scholarships are available to students:

• attaining at least junior status in their bachelor’s degree program
• belonging to a historically underrepresented group
• achieving a minimum 3.0 GPA
• agreeing to internships at Acxiom offices

Acxiom Corporation Diversity Scholarship

301 E. Dave Ward Drive

Conway, AR 72032

(877) 314-2049

[email protected]

3. Mathematical Sciences Graduate Scholarship

Deadline: March 31

Central Connecticut State University offers a scholarship program funded by the Fuller Trust. Scholarship applicants must have matriculated in or applied to a graduate program within the Department of Mathematical Sciences. These renewable big data scholarships are worth up to $200 per credit (up to $800 per semester). Applications are reviewed based on academic merit. Graduate students must use their awards within one calendar year.

4. GAANN Fellowships in Computer and Information Sciences for Artificial Intelligence Research

Deadline: November 30th

One of the most lucrative big data scholarships is offered through Worcester Polytechnic Institute. WPI utilizes the U.S. Department of Education’s Graduate Assistance in Areas of National Need (GAANN) Grant to deliver six PhD Fellowships in Artificial Intelligence Research for three years. Recipients of these fully funded PhD in data science awards receive:

• an annual stipend of up to $34,000 based on need
• full tuition and fees
• health insurance coverage

Candidates must plan pursue a PhD in artificial intelligence research. Doctoral students will study artificial intelligence in collaboration with WPI faculty from Computer Science, Data Science, or Learning Sciences and Technology. Candidates must be:

• federal aid eligible under 34 CFR 75.60
• present exceptional academic records
• have financial need
• be a US citizen, a US national, or permanent resident of the US

GAANN PhD Fellowship in Big Data Computing Research

100 Institute Road

Worcester, MA 01609

(508) 831-5000

[email protected]

5. Richard P. Covert, PhD, LFHIMSS Scholarship for Management Systems

Deadline: October 6

This unique scholarship opportunity is offered by the HIMSS Foundation. Funding is available to students pursuing a degree that utilizes management engineering. Candidates must be at least a first-term junior at the time of the award. Applicants must be:

• current HIMSS Student Members in good standing
• taking coursework in an accredited undergraduate, masters or doctoral program
• pursuing a degree in an area related to health information and technology or healthcare management systems fields

This $5,000 award is given to one student.

350 N. Orleans St. Suite S100000

Chicago, IL 60654

(312) 664-4467

6. Ike Wai Graduate Scholarship Program

Deadline: February 1st

Funded by the NSF, the Ike Wai Graduate Scholarship belongs to the EPSCoR Hawaii Program to provide $29,148 annually to full-time graduate research assistants at the University of Hawaii-Manoa who are earning research-based master’s or doctoral degrees in:

• engineering
• social science
• Hawaiian language

These two-year big data scholarships will require working 20 hours weekly at an Ike Wai research lab on projects that ensure the Aloha State’s future water security.

Ike Wai Graduate Scholarship Program

1680 East-West Road

Honolulu, HI 96822

(808) 956-3154

[email protected]

Scholarship Application

7. Women in Operations Research-Bayer Scholarship

Deadline: February 13th

Partnered with Bayer, the Institute for Operations Research and Management Sciences offers a scholarship program for female grad students who are interested in the field of operations research. Applicants must be pursuing either a master’s or doctorate degree in operations research or analytics. They must also be a member of the Analytics Society of INFORMS. The winner receives $1,300 to cover the cost of registration and travel expenses to attend the INFORMS Annual Meeting. Applications are judged based on their:

• statement of purpose
• letter of recommendation
• resume or CV
• level of involvement or services to INFORMS

5521 Research Park Drive, Suite 200

Catonsville, MD 21228

(800) 446-3676

[email protected]

8. Jack Larson Data for Public Good Fellowship

Deadline: Varies

Started in January 2017, the Jack Larson Data for Public Good Fellowship is awarded by the School of Information at the University of California-Berkeley to honor the Haas Hall of Famer who received Ernst & Young’s Entrepreneur of the Year Service Award. The program will select six students pursuing the Master of Information and Data Science (MIDS) degree for the $8,500 scholarships annually. Preference is given to post-grads using big data to benefit human life.

The award was designed to support students who want to use data science to benefit society. Applicants should have a background working for :

• non-profits
• community service organizations

Recipients are selected based on:

• service background
• vision/plan for using data for societal benefit
• career plans
• financial need

Jack Larson Data for Public Good Fellowship

102 South Hall #4600

Berkeley, CA 94720

(855) 678-6437

[email protected]

9. Lilly Endowment Scholarship for Data Science

Deadline: June 15th

At Saint Mary’s College, the Lilly Endowment Scholarship provides $1,000 per term for $5,000 total to outstanding male or female post-grads who are pursuing the mathematically rigorous M.S. in Data Science program. Qualified recipients must legally reside in Indiana and have graduated from an accredited Indiana college within the last 12 months. Applicants must have:

• completed two semesters of calculus
• maintain a 3.0 GPA or better
• exhibit computer programming experience

Lilly Endowment Scholarship for Data Science

339 Madeleva Hall

Notre Dame, IN 46556

(574) 284-5291

[email protected]

10. Milliman Opportunity Scholarship Fund

Deadline: June 1st

The Milliman Opportunity Scholarship Fund was created to assist undergraduate students who have historically been under-represented in data science and related field. The program is administered by Scholarship America. The Scholarship Fund awards 15-25 awards of no less than $5,000 payable to the recipient’s University. Eligible candidates must have at least one birth parent who is a member of one of these groups:

• African decent
• Latino/Hispanic
• Native North American
• Pacific Islander

Eligibility depends on students’ admission into accredited, four-year U.S. colleges for actuarial majors like:

• data analytics
• mathematics
• programming

Milliman Opportunity Scholarship Fund

One Scholarship Way

Saint Peter, MN 56082

(507) 931-1682

[email protected]

11. MinneAnalytics Data Science Scholarship

MinneAnalytics, a Minnesota nonprofit with more than 10,000 members, awards the Data Science Scholarship for $1,000 before selecting a grand prize winner of $5,000 in December. Administered by the Minnesota High Tech Association Foundation, the big data scholarships suit undergrads and post-grads at accredited in-state universities who are pursuing analytics careers with community engagement. Interested students should reach out to their college about their participation in the Scholarship. Past recipients attend:

• UM-Twin Cities
• Winona State

MinneAnalytics Data Science Scholarship

200 SE Oak Street

Minneapolis, MN 55455

(612) 624-5747

[email protected]

12. Remote DBA Scholarship

Deadline: April 15th

Since 2015, Remote DBA has provided $1,000 through the Experts to Students Scholarship to financially support high school seniors or current college undergrads who are pursuing data-focused careers with accredited training in:

• database administration

Interested current college undergrads must have a GPA of at least 2.5. Graduating high school seniors should have at least a 3.0. Candidates must submit an:

• online application
• cover letter explaining how they will use the scholarship
• 500-word essay on the topic “My vision for the world 20 years from now: How access to data and technology will change everything around us.”

Remote DBA Experts to Students Scholarship

100 E. Broward Blvd., Suite 1700

Fort Lauderdale, FL 33301

(800) 818-2126

[email protected]

13. Russ Peterson Technology Scholarship

Deadline: February 28th

The CUNY School of Professional Studies in Manhattan awards nearly $400,000 yearly through financial aid, including the Russ Peterson Technology Scholarship. This merit-based program supports full-time students with big data career goals who are within 30 credits of completing their:

• B.S. in Information Systems
• B.S. in Health Information Management
• M.S. in Data Analytics

Applicants must have a minimum cumulative GPA above 3.0. Other options include the Eugene Walters Scholarship and Bob Martin Memorial Scholarship.

Russ Peterson Technology Scholarship

119 W. 31st Street

New York, NY 10001

(212) 652-2869

[email protected]

14. Erik Duval Travel Scholarship

Deadline: May 20th

If you are a data science student and want to attend SoLAR’s Learning Analytics Summer Institute, this is an opportunity for you. The Society for Learning Analytics Research awards scholarships to fund doctoral and masters degree students currently enrolled in a data analytics or data science program. Candidates must:

• be a member of SoLAR
• submit a letter of recommendation
• complete an application
• provide proof of enrollment

This opportunity allows aspiring data scientists to be a part of a global learning community focused on data science. Applicants must submit an essay indicating how this opportunity will support their learning and what they’d like to learn from the conference.

Nicole Hoover, SoLAR Event and Management Coordinator

[email protected]

15. Bloomberg’s Data Science PhD Fellowship

Bloomberg’s Data Science PhD Fellowship is an exceptional program that provides support and funding to a successful PhD candidates working in data science. The program includes:

• 100% of the cost of tuition
• $35,000 per year living stipend
• up to $5,000 to attend professional conferences
• a Bloomberg mentor
• a 14 week paid summer research internship

Applicants must submit:

• curriculum vitae
• research proposal
• reference letter

[email protected]

Thankfully, there are data science grants and scholarships are available to aspiring professionals. Data on higher education tuition can even leave data science majors astounded. According to the Institute of College Access and Success, the average student faces $30,100 in post-graduation debt before interest. The 44 million borrowers across America share an outstanding student loan debt of $1.41 trillion for a mean default rate of 11.8 percent. Although Salary.com posts that data scientists make a median annual wage of $122,258, stomaching hefty loan bills can be challenging. Fortunately, financial aid like these data science scholarship opportunities are growing to relieve the burden for students who can demonstrate financial need.

Related Resources: 

• How Useful is a Data Science Degree?
• What Can I Do with a Graduate Certificate in Data Science?
• What Industries Use Data Science?
• Will Data Science Become Automated?
• Will Data Science Continue to Exist Prominently in the Future?
• Will Data Science Replace Actuaries?

Fully Funded PhD Programs in Data Science

As part of our series  How to Fully Fund Your PhD , here is a list of US universities offering fully funded PhD programs in Data Science. Data Science entails a combination of statistical analysis and data mining where researchers analyze data and build models using program languages such as R, Python, and SQL. Unlike computer science , which focuses on software engineering, data science aims to understand the data itself, uncover patterns, and use it to predict outcomes . A Data Science PhD opens opportunities for those aiming to advance their careers in academia, industry, research, and even create a startup initiative of their own.

“Full funding” is a financial aid package for full-time students that includes full tuition remission and an annual stipend or salary during the entire program, usually 3-6 years. To receive this funding, students will typically teach or complete a research project in their chosen subject. Considering fully funded programs is essential because not all universities grant funding to their doctoral students. By including smaller and lesser-known schools in your research, you optimize your chances of finding the perfect fully funded program for you.

If any of these programs interest you, be sure to bookmark it to your free ProFellow account !

Would you like to receive the full list of more than 1000+ fully funded programs in 60 disciplines?  Download the FREE Directory of Fully Funded Graduate Programs and Full Funding Awards !

Northwestern University Fully Funded PhD in Statistics and Data Science

In Evanston, Illinois, Northwestern University offers a fully funded PhD in Statistics and Data Science. This comprehensive program equips students with knowledge of statistical theory, data science methodologies, and their versatile applications across diverse fields. The program offers financial support through university fellowships, teaching, and research assistantships. With a commitment to the academic journey, Northwestern ensures funding for five academic years and five summers, contingent on satisfactory academic standing.

Southern Methodist University Fully Funded PhD in Data Science

Southern Methodist University in Dallas, Texas, provides a fully funded PhD program in Data Science. Noteworthy for its strong interdisciplinary approach, the program adapts to the evolving interests of students and faculty. It aims to showcase the broad applicability of data science research across various disciplines. The program emphasizes that the future of data science spans beyond specific domains. Successful applicants enjoy a generous annual stipend and opportunities to serve as both research and teaching assistants.

William & Mary University Fully Funded PhD in Data Science

William & Mary University, based in Williamsburg, Virginia offers a fully funded PhD in Data Science. The Ph.D. track is offered as a specialization within Applied Science, with the core mission of training students in the use of exceptionally large, heterogeneous datasets to drive decision-making across a wide range of fields (from Physics to the social sciences). Graduate students complete a core sequence of coursework as a cohort, and then work closely with an advisory committee to complete the degree program.  Competitive stipends and tuition are provided to selected students (stipends for AY23-24 are $29,000).

Boston University Fully Funded PhD in Computing & Data Sciences

Boston University in Massachusetts provides a fully funded Computing & Data Sciences PhD. This program focuses on solving problems and synthesizing knowledge related to systematic, generalizable, and scalable extraction of insights from data. It also highlights the design of new information systems and products for actionable use of insights across diverse application domains. The funding model ensures five years of stipend support of $43,000 annually, a 100% tuition scholarship, and a health insurance credit for PhD students in good standing.

Yale University Fully Funded PhD in Statistics and Data Science

Yale University, New Haven, Connecticut, offers a fully funded PhD in Statistics and Data Science. The program encompasses key areas such as statistical theory, probability theory, information theory, bioinformatics and genetics, classification, data mining and machine learning, neural nets, network science, optimization, statistical computing, and graphical models and methods. Admission typically includes full tuition and a generous stipend for five years. Students commonly serve as teaching assistants and receive dissertation fellowships in their final year to focus on their research.

New York University Fully Funded PhD in Data Science

New York University provides a fully funded Ph.D. in Data Science. This innovative program aims to cultivate researchers fluent in the emerging field of data science within a nurturing educational environment. Students will engage with a broader range of fields under the guidance of interdisciplinary faculty. Successful candidates are assured financial support, including tuition coverage and a competitive stipend for up to five years during the fall and spring semesters. Additionally, CDS offers entrepreneurship workshops and a one-time award to cover prospective start-up expenses.

University of Virginia Fully Funded PhD in Data Science

The University of Virginia, located in Charlottesville, VA, offers a fully funded PhD in Data Science. This program equips students with the skills and knowledge needed for research and discovery in data science methods. PhD students receive financial support from the School of Data Science throughout their enrollment, covering full tuition, fees, and the premium for single-person coverage. Students may also receive a fellowship, research assistantship, or teaching assistantship, providing annual living support of approximately $33,000 per year.

University of Nevada Reno Fully Funded PhD in Statistics and Data Science

The University of Nevada-Reno, in Reno, Nevada, presents a fully funded PhD in Statistics and Data Science. This program is crafted to provide comprehensive training in modern statistics, focusing on extracting knowledge from data. With interdisciplinary research and a focus on computational skills, students are prepared to pursue a wide variety of jobs. Students accepted into the Statistics and Data Science PhD program receive a stipend of $2,200, a tuition waiver, and a subsidized medical plan. Additionally, students have the opportunity to pursue departmental and University-wide scholarships.

Stanford University Fully Funded PhD in Biomedical Data Science

Stanford University, in California, offers a fully funded PhD in Biomedical Data Science. This intellectually rigorous program emphasizes research in novel computational methods, including biomedical informatics, biostatistics, AI/ML, generative AI, and foundation models, with the aim of advancing biology and medicine. All PhD students receive full funding that covers tuition, stipend, and health insurance.

University of Tulsa & Team8 Cyber Fellows

The University of Tulsa & Team8 Cyber Fellows present a fully funded PhD position, providing a unique opportunity for students aspiring to advance research and development in cyber, data science, and machine learning. This collaborative initiative merges TU’s College of Engineering & Natural Sciences with Team8’s expertise in company-building, fostering an environment to address real-world industry challenges and translate cutting-edge research into innovative start-ups. Successful candidates will enjoy full tuition remission, a competitive living stipend, potential summer internships, and the perks associated with university graduate student employment while actively engaging with TU faculty on transformative projects.

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Top 10 Universities in USA Offering Ph.D In Data Science

In 2011, McKinsey Global Institute called Big Data as the Next Frontier. From then to now, data science has evolved to form an integral part of digital transformation and technological innovation for the next futuristic world. This implies that not only is the demand for data scientists is growing everyday but also they receive lucrative salaries due to high market demand. Every industry from the fields of business, finance, government, healthcare, social networking, and technology, are looking for minds with a data science degree and complementary skills. Further, earning a Post-Doctoral degree in this field is beneficial because it can give students the research skills needed to make an impact in their field of choice. Depending on the university attended, a student might have to take classes such as machine learning and computational statistics, big data, probability and statistics for data science, and inference and representation along with major in data science.

Below is a list of top 10 of universities in the USA that have some excellent data science programs and courses .

Brown University – Providence, Rhode Island

Course: PhD in Computer Science – Concentration in Data Science

Brown University's database group is a world leader in systems-oriented database research; they seek PhD candidates with strong system-building skills who are interested in researching TupleWare, MLbase, MDCC, Crowd DB, or PIQL. To gain entrance, applicants should consider first doing a research internship at Brown with this group. Other ways to boost an application are to take and do well at massive open online courses, do an internship at a large company, and get involved in a large open-source software project. Coding well in C++ is preferred. All students must also train as teaching assistants for at least one semester.

2019-2020 Tuition: $66,702 per year

Length: 6 Credit Hours

Indiana University-Purdue University Indianapolis  – Indianapolis, Indiana

Course: PhD in Data Science PhD Minor in Applied Data Science

Doctoral candidates pursuing the PhD in data science at Indiana University-Purdue must display competency in research, data analytics, and at management and infrastructure to earn the degree. The PhD is comprised of 24 credits of a data science core, 18 credits of methods courses, 18 credits of a specialization, written and oral qualifying exams, and 30 credits of dissertation research. All requirements must be completed within seven years. Applicants are generally expected to have a master's in social science, health, data science, or computer science. Currently, a majority of the PhD students at IUPUI are funded by faculty grants and two are funded by the federal government. All students receive scholarships. IUPUI also offers a PhD Minor in Applied Data Science that is 12-18 credits. The minor is open to students enrolled at IUPUI or IU Bloomington in a doctoral program other than Data Science.

2019-2020 Tuition: $368 per credit (Indiana Resident), $1,006 per credit (Non-resident)

Length: 60 credits

New York University – New York, New York

Course: PhD in Data Science

Doctoral candidates in data science at New York University must complete 72 credit hours, pass a comprehensive and qualifying exam, and defend a dissertation with ten years of entering the program. Required courses include an introduction to data science, probability and statistics for data science, machine learning and computational statistics, big data, and inference and representation.

2019-2020 Tuition: $1,856 per unit

Length: 72 Credits

Yale University – New Haven, Connecticut

Course: PhD Program – Department of Stats and Data Science

The PhD in statistics and data science at Yale University offers broad training in the areas of statistical theory, probability theory, stochastic processes, asymptotics, information theory, machine learning, data analysis, statistical computing, and graphical methods. Students need to complete 12 courses in the first year on these topics. Students are required to teach one course each semester of their third and fourth years. Most students complete and defend their dissertations in their fifth year.

2019-2020 Tuition: $43,300 per year

The University Of Maryland, College Park, Maryland

Course: PhD in Information Studies – Concentration in Big Data/Data Science

PhD students can take part in research in a variety of areas, including big data, data science, and informatics. The program is designed for students who want a research-oriented career, and faculty members mentor students in a variety of disciplines. The program does not list any specific prerequisites for the doctoral program, and the interdisciplinary program accepts students with varied academic backgrounds. Students can go for either Full-time or part-time program.

2019-2020 Tuition: $731 per credit (Maryland Resident), $1,625 per credit (Non-resident)

Length: 27 Credit Hours

Kennesaw State University – Kennesaw, Georgia

Course: PhD in Analytics and Data Science

Students pursuing a PhD in analytics and data science at Kennesaw State University must complete 78 credit hours: 48-course hours and six electives (spread over four years of study), a minimum 12 credit hours for dissertation research, and a minimum 12 credit-hour internship. Before dissertation research, a comprehensive examination will cover material from the three areas of study: computer science, mathematics, and statistics. Successful applicants will have a master's degree in a computational field, calculus I and II, programming experience, modeling experience, and are encouraged to have a base SAS certification.

2019-2020 Tuition:  $1,066 per credit

Length: 4 years

University of Massachusetts Boston – Boston, Massachusetts

Course: PhD in Business Administration – Information Systems for Data Science Track

The University of Massachusetts – Boston offers a PhD in information systems for data science. As this is a business degree, students must complete coursework in their first two years with a focus on data for business; for example, taking courses such as business in context: markets, technologies, and societies. Students must take and pass qualifying exams at the end of year 1, comprehensive exams at the end of year 2, and defend their theses at the end of year 4. Those with a degree in statistics, economics, math, computer science, management sciences, information systems, and other related fields are especially encouraged, though a quantitative degree is not necessary. Students accepted by the program are ordinarily offered full tuition credits and a stipend ($25,000 per year) to cover educational expenses and help defray living costs for up to three years of study. During the first two years of coursework, they are assigned to a faculty member as a research assistant; for the third year, students will be engaged in instructional activities. Funding for the fourth year is merit-based from a limited pool of program funds.

2019-2020 Tuition: $768 per credit (Massachusetts Resident), $1,499 per credit (Non-resident)

California Institute of Technology, Pasadena, California

Course: PhD in Computing and Mathematical Science focusing on Data Sciences

Caltech has a PhD in Computing and Mathematical Sciences that is multidisciplinary and brings together faculty and students from fields including computer science, electrical engineering, applied math, operations research, economics, and the physical sciences. In their first year, all students take courses in math and computing fundamentals, and each student must take three courses in a focus area and meet breadth requirements. All candidates must complete a dissertation.

Tuition: $54,537 per year

Length: 3 Years

University At Buffalo, Buffalo, New York

Course: PhD in Computational and Data-Enabled Science and Engineering

The curriculum for the University of Buffalo's PhD in computational and data-enabled science and engineering centers around three areas: data science, applied mathematics and numerical methods, and high performance and data-intensive computing. Nine credit course of courses must be completed in each of these three areas. Altogether, the program consists of 72 credit hours and should be completed in 4-5 years. A master's degree is required for admission; courses taken during the master's may be able to count toward some of the core coursework requirements.

Tuition: $5,655 per semester (New York Resident), $11,550 per semester (Non-resident)

Length: 72 Credits

Clemson University / Medical University of South Carolina (MUSC) – Joint Program– Clemson, South Carolina & Charleston, South Carolina

Course: Doctor of Philosophy in Biomedical Data Science and Informatics – Clemson

Students can choose one of three tracks to pursue: precision medicine, population health, and clinical and translational informatics. Students can take courses in each of 5 areas: biomedical informatics foundations and applications; computing/math/statistics/engineering; population health, health systems, and policy; biomedical/medical domain; and lab rotations, seminars, and doctoral research. Applicants must have a bachelor's in health science, computing, mathematics, statistics, engineering, or a related field, and it is recommended to also have competency in a second of these areas. Program requirements include a year of calculus and college biology, as well as experience in computer programming.

2019-2020 Tuition: $668 per credit (South Carolina Resident), $995 per credit (Non-resident)

Length: 65-68 credit hours

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Top Data Science Scholarships for Students

Across the blogosphere and in educators’ marketing copy, you’ll see some truly astonishing estimates of the job outlook for data scientists. These aren’t just hot air: according to the US Bureau of Labor Statistics , data scientists already earn average annual salaries of around $100,000 in the US, well above the typical American’s wages of just $44,000. What’s more, these high-paying positions are only multiplying: the BLS estimates 36% job growth in the field over the next decade, over 7x labor growth in the US as a whole.

While the data science job market offers an increasing number of opportunities to earn a lucrative salary, for many, financing the education needed to break into the field still presents an almost insurmountable hurdle, more difficult even than coding a deep learning model to extract insights from big data sets. After all, often omitted from marketers’ sunny characterizations of the job outlook for data scientists are the eye-popping start-up costs: the average data science bootcamp in the US cost $11,727 in 2020, while the average bachelor’s and master’s degree will run students $218,004 and $61,200 , respectively. Factor in student loans and frequently exorbitant interest rates; the actual cost is often far higher.

The cost of data science education has two undesirable upshots. First, these high costs, even after financial aid, can hinder access for individuals already traditionally underrepresented in STEM fields, especially women, minorities, veterans, and first-generation college students, which robs the field of data science of crucial brainpower. Second, a data scientist seeking to quickly realize a return on their investment and pay off loans tends to gravitate to high-paying industries like big tech, leaving talent gaps for lower-paying, but no less essential areas of the public and social sectors that can leverage big data to drive growth.

To combat these, nonprofits, corporations, and governments are increasingly offering various scholarships and fellowships to defray the cost of education for those interested in data science and other STEM fields. It’s free money, and you’d be foolish not to try to tap in. Below, you’ll find a curated, up-to-date list of great opportunities to make your data science journey easier — financially, at least — plus information on how to apply to each.

Diversity, Equity, Inclusion & Accessibility

Asa pride scholarship.

The American Statistical Association’s Pride Scholarship supports the graduate studies of LGBTQ+ aspiring scientists, statisticians, and allies. Students are selected for awards by the Justice, Equity, Diversity, and Inclusion Outreach Group and the ASA LGBTQ+ Advocacy Committee.

Eligibility: Students must identify as LGBTQ+ or an ally and have completed a statistics or data science degree within the last five years or be currently pursuing a statistics or data science graduate degree.

Amount: N/A

Great Minds in STEM Scholarship

Great Minds in STEM’s scholarship program aims to support underserved Hispanic communities through merit-based and non-merit-based scholarships for those pursuing a degree in science, technology, engineering, or math part-time or full-time. Scholarship recipients are invited to attend the annual GMiS conference, and travel is provided.

Eligibility: Students must be enrolled in or planning to attend a two—or four-year undergraduate or graduate degree program in STEM or health services in the US and be of Hispanic descent or a leader in the community. For merit-based scholarships, students must hold a 3.0 minimum GPA.

Application Requirements:

Online application

Personal statement

Letters of recommendation from one peer and one faculty member

Official transcript

Amount: $500–$5,000 (merit-based); $500–$1,000 (non-merit based)

Orchard Scholarship for Women of Color in STEM

Orchard’s Scholarship for Women of Color in STEM , established several years ago by the real-estate website, aims to make undergraduate STEM education more accessible for women of color through awards of varying amounts, in line with their “goals as a company to encourage diversity within our industry and to find ways to make difference outside of our organization.”

Eligibility: Applicants must be female high school seniors or college sophomore and juniors of color interested in or currently pursuing a bachelor’s degree in STEM. Applicants must also hold a GPA of 3.0 or more.

Application form

Two short essays

Amount: Awards of $500, $1000, and $2,500

AISES Scholarships

AISES (Advancing Indigenous People in STEM) offers a wide variety of over 15 scholarships for American Indians, Alaska Natives, Native Hawaiians, Pacific Islanders, and Indigenous people of Canada who are interested in pursuing education in a STEM field such as applied data science or artificial intelligence. Eligibility, application requirements, and award amounts vary for each scholarship.

Eligibility: Varies

Application Requirements: Varies

Amount: Varies

Generation Google Scholarship

The Generation Google Scholarship aims to support North American computer science students, particularly emphasizing students identifying as women, Black, Latinx, Native American, and Native Hawaiin/Pacific Islander. Students must demonstrate a commitment to improving representation in the field of technology.

Eligibility: Students must be studying computer science, computer engineering, or a related field and be planning to pursue a bachelor’s, master’s, or Ph.D. in the US or Canada. Students must also demonstrate financial need, a strong academic record, and a passion for improving computer science and technology representation.

General background information

Family and household information

Resume or CV

Academic transcripts

Three short essays

Amount: $10,000 USD (US); $5,000 CAD (Canada)

Google Lime Scholarship

A collaboration between Google and Lime Connect, a nonprofit focused on supporting students with disabilities, the Google Lime Scholarship provides funding for students with disabilities who are pursuing or pursuing an undergraduate or graduate degree in computer science.

Eligibility: Students who self-identify as having a visible or invisible disability and are current or incoming computer science bachelor’s and master’s students in the US or Canada are welcome to apply.

Letter of reference

Google Student Veterans of America Scholarship

Google’s Google Student Veterans of America Scholarship , in partnership with Student Veterans of America, supports student veterans studying computer science in American undergraduate and graduate programs.

Eligibility: Student veterans must be in good standing with or honorably discharged from the US Armed Services and be pursuing or intending to pursue undergraduate or graduate studies in computer science.

Proper documentation of discharge or good standing

Amount: $10,000

Palantir Women in Technology Scholarship

Founded in 2010, the Palantir Women in Technology Scholarship provides monetary awards and professional opportunities to help women embark on careers in technology.  In addition to the $7,000 scholarship award, scholarship recipients participate in professional development workshops and are eligible to interview for internships at Palantir.

Eligibility: Applicants must be current undergraduates at a North American college or university, be majoring or planning to major in computer science or a related field, identify as women, and have not won a Palantir scholarship previously.

Two short-essays

Amount: $7,000

ACM SIGHPC Computational & Data Science Fellowships

The ACM SIGHPC Computational & Data Science Fellowships , offered by the Association for Computing Machinery in collaboration with Intel, seeks to increase the representation of women and students from traditionally underrepresented racial and ethnic backgrounds in computational and data science by enhancing institutional support for those pursuing master’s and Ph.D. degrees in these fields.

Eligibility: Applicants must be enrolled in or accepted to a graduate program (master’s or Ph.D.) in computational or data science, have completed less than half of this program, and be a woman or member of an underrepresented racial or ethnic group.

Application requirements:

Nomination: applicants must be nominated for the fellowship by their academic advisor

Candidate statement of purpose

Endorsement from current or former teacher, supervisor, or employer

Amount: $15,000, adjusted depending on which country the degree will take place

National Science Foundation Graduate Research Fellowship Program

The National Science Foundation’s Graduate Research Fellowship Program seeks to expand the diversity of the science and engineering workforce by supporting the graduate studies of underrepresented groups such as women, disabled persons, veterans, and minorities. Past recipients include US Secretary of Energy Steven Chu, Google founder Sergey Brin, and Freakonomics author Steven Levitt.

Eligibility: Applicants must be early-career US citizens or, if an international student or permanent resident intends to pursue graduate studies in a target field, they must begin their studies within a year of receiving the award.

Reference letters

Statements on background and future goals

Amount: Annual stipend of $37,000, $12,000 cost of education allowance for up to 3 years

Governmental

Us department of defense smart scholarship-for-service program.

The US Department of Defense SMART Scholarship-for-Service Program incentivizes bachelor’s, master’s, and Ph.D. students working in areas like computer science, information science, mathematical sciences, and aeronautics to pursue careers in government by providing full tuition, an annual stipend, internship opportunities, and guaranteed employment at the Department of Defense (DoD) upon graduation.

Eligibility: Applicants must be citizens of the United States, Australia, Canada, New Zealand, or the United Kingdom, enrolled in a degree program in one of 21 technical areas at a US-accredited college or university, able to complete a summer internship, and willing to work at the DoD upon graduation.

College transcripts

DoD employee supervisor letter

Amount: Full tuition, annual stipend ($25,000-$38,000) for up to 5 years, internship, guaranteed employment

US Department of Energy Computational Science Graduate Fellowship

The US Department of Energy Computational Science Graduate Fellowship is a PhD fellowship offered to doctoral students at an accredited US college of university working in one of a dozen target areas, including computer science, materials science, machine learning, and chemical engineering. Recipients receive full tuition, a yearly stipend, a professional development allowance, and practicum experience at the US Department of Energy (DoE).

Eligibility: Fellowship recipients must be enrolled as full-time graduate students in a target area. International students are welcome to apply, but must be lawful permanent residents. For more information on eligibility, see the DoE’s requirements page .

Transcripts

Green card (if not a US citizen)

Program of study

Amount: Full tuition, annual stipend ($45,000) for up to 4 years, practicum

Corporate Scholarships (Non-DEIA)

Bloomberg data science ph.d. fellowship.

Bloomberg’s Data Science Ph.D. Fellowship supports exceptional doctoral candidates interested in data science for social good, human computation & annotation, information retrieval & extraction, financial machine learning, natural language processing and other areas. In addition to full tuition and a living stipend, recipients of the data science fellowship receive extensive mentorship from Bloomberg employees and complete a summer internship at Bloomberg.

Eligibility: To apply, an individual must be a current doctoral candidate able to work in the US.

Application Requirements: 

Research proposal

Reference letter from doctoral advisor

Amount: Full tuition and an annual living stipend ($35,000)

Nonprofit, Social Sector & Public Good

Minneanalytics data science scholarship.

MinneAnalytics Data Science Scholarships are intended to support those Midwestern students who intend to use their analytics skill set to improve their communities. Each year, MinneAnalytics also presents the MinneMUDAC Student Data Science Challenge , which allows undergraduates and graduate students to collaborate with their peers and employ their data analytics skills to solve real-world problems.

Eligibility: To be eligible for a MinneAnalytics Data Science scholarship, students must be current undergraduates at one of 30 partner universities across the Midwest and be able to demonstrate a commitment both to data science and community engagement.

Applications are submitted on behalf of students by staff and faculty members of partner colleges and universities.

Award: $1000

Jack Larson Data for Good Fellowship

The Jack Larson Data for Good Fellowship supports aspiring data scientists in the University of California—Berkeley’s Master’s of Information and Data Science program (MIDS) who have a demonstrated track record of using data to advance non-profit, governmental, and other social initiatives.

Eligibility: Current and incoming MIDS students can apply during three application windows annually.

Amount: $8,500

Lilly Endowment Community Scholarship Program

The Lilly Endowment Community Scholarship Program offers full tuition each year to 143 Indiana residents attending public or private four-year colleges and universities. The program aims to retain Indiana’s brightest minds and strengthen Indian communities.

Eligibility: Recipients must have graduated high school in Indiana and attend an accredited public or private college or university in Indiana full-time.

Application Requirements: Vary depending on the local community foundation

Amount: Full tuition

How to make your application stand out?

To give yourself the best chance of success when applying for data science scholarships, make sure to do the following:

Stay organized: Identify the scholarships you’re eligible for, then input relevant information like deadlines and application materials into a spreadsheet to stay on top of things. As you assemble your application, double- and triple-check the requirements to ensure nothing is missing. Often, organizations offering scholarships won’t allow you to fix any errors or submit any missing materials after the deadline.

Ask for recommendations early: There’s no easier way to hurt a potential recommender’s opinion of you than asking for a recommendation too late. Make sure to give those mentors nice enough to write a letter to support your application ample time to paint the best possible picture of your achievements and character.

Tell your story: There are always many qualified applicants for a scholarship — so why do you deserve it? Make sure your story shines through when writing a personal statement, preparing for an interview, or even putting together your resume. What brought you into data science, and what do you bring? How will the scholarship help not only you but your community? Check out our resume, interview, and cover letter guides for tips and tricks.

Get busy: It would be great to apply to one scholarship and get it, but it’s a good idea to apply to a bunch. This means more work for you, but also better chances that this work will be rewarded.

What’s next?

Above, we’ve laid out some great scholarship opportunities for undergraduate and graduate students alike and discussed best practices for applying. Of course, with so much competition in data science, getting the most lucrative scholarships can be anything but easy. If you’re interested in a data science bachelor’s or master’s degree, this can mean that you’ll need to self-fund or take out loans for your education. To read more about the financial calculus behind pursuing a data science master’s degree, check out our investigation into what makes the degree worth it .

If you are a college student, either a current undergraduate student a master’s student, or even an early-career professional interested in pursuing a doctorate, you may have more options. While we’ve previewed some selective doctoral fellowships offered by corporations and government agencies above, the truth is that many US doctoral programs in data science, computer science, and applied mathematics are fully funded, meaning that students receive tuition remissions and a modest living stipend. If you’re interested in going this route, check with each department you’re looking into to see if they offer funding packages.

If you’re researching data science scholarships because you’re considering a career shift or looking into education options, you might instead be interested in learning more about the field. To do so, we’d recommend the following articles:

Data Science vs Data Engineering: Which is right for you, and why?

Data Analyst vs Data Scientist: What’s the difference?

What’s a Typical Data Science Career Path?

Our Guide to Data Science Bootcamps

Are Data Science Bootcamps Worth It?

The Most Popular Programming Languages for Data Science

How to Land Your First Job in Data Science

The Inside Scoop on Top-Ranked Data Science Rankings

To learn more about data analytics, an overlapping field that’s easier to break into for someone with little to no experience working with data, check out our guides to:

Data Analytics Certifications

Data Analytics Bootcamps

Data Analytics Master’s Programs

Data Analytics Colleges and Universities

Landing Your First Data Analytics Job

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NYU Center for Data Science

Harnessing Data’s Potential for the World

PhD in Data Science

An NRT-sponsored program in Data Science

• Areas & Faculty
• Admission Requirements
• Medical School Track
• NRT FUTURE Program

Advances in computational speed and data availability, and the development of novel data analysis methods, have birthed a new field: data science. This new field requires a new type of researcher and actor: the rigorously trained, cross-disciplinary, and ethically responsible data scientist. Launched in Fall 2017, the pioneering CDS PhD Data Science program seeks to produce such researchers who are fluent in the emerging field of data science, and to develop a native environment for their education and training. The CDS PhD Data Science program has rapidly received widespread recognition and is considered among the top and most selective data science doctoral programs in the world. It has recently been recognized by the NSF through an NRT training grant.

The CDS PhD program model rigorously trains data scientists of the future who (1) develop methodology and harness statistical tools to find answers to questions that transcend the boundaries of traditional academic disciplines; (2) clearly communicate to extract crisp questions from big, heterogeneous, uncertain data; (3) effectively translate fundamental research insights into data science practice in the sciences, medicine, industry, and government; and (4) are aware of the ethical implications of their work.

Our programmatic mission is to nurture this new generation of data scientists, by designing and building a data science environment where methodological innovations are developed and translated successfully to domain applications, both scientific and social. Our vision is that combining fundamental research on the principles of data science with translational projects involving domain experts creates a virtuous cycle: Advances in data science methodology transform the process of discovery in the sciences, and enable effective data-driven governance in the public sector. At the same time, the demands of real-world translational projects will catalyze the creation of new data science methodologies. An essential ingredient of such methodologies is that they embed ethics and responsibility by design.

These objectives will be achieved by a combination of an innovative core curriculum, a novel data assistantship mechanism that provides training of skills transfer through rotations and internships, and communication and entrepreneurship modules. Students will be exposed to a wider range of fields than in more standard PhD programs while working with our interdisciplinary faculty. In particular, we are proud to offer a medical track for students eager to explore data science as applied to healthcare or to develop novel theoretical models stemming from medical questions.

In short, the CDS PhD Data Science program prepares students to become leaders in data science research and prepares them for outstanding careers in academia or industry. Successful candidates are guaranteed financial support in the form of tuition and a competitive stipend in the fall and spring semesters for up to five years.* We invite you to learn more through our webpage or by contacting  [email protected] .

*The Ph.D. program also offers students the opportunity to pursue their study and research with Data Science faculty based at NYU Shanghai. With this opportunity, students generally complete their coursework in New York City before moving full-time to Shanghai for their research. For more information, please visit the NYU Shanghai Ph.D. page .

DiscoverDataScience.org

PhD in Data Science – Your Guide to Choosing a Doctorate Degree Program

Created by aasif.faizal

Professional opportunities in data science are growing incredibly fast. That’s great news for students looking to pursue a career as a data scientist. But it also means that there are a lot more options out there to investigate and understand before developing the best educational path for you.

A PhD is the most advanced data science degree you can get, reflecting a depth of knowledge and technical expertise that will put you at the top of your field.

This means that PhD programs are the most time-intensive degree option out there, typically requiring that students complete dissertations involving rigorous research. This means that PhDs are not for everyone. Indeed, many who work in the world of big data hold master’s degrees rather than PhDs, which tend to involve the same coursework as PhD programs without a dissertation component. However, for the right candidate, a PhD program is the perfect choice to become a true expert on your area of focus.

If you’ve concluded that a data science PhD is the right path for you, this guide is intended to help you choose the best program to suit your needs. It will walk through some of the key considerations while picking graduate data science programs and some of the nuts and bolts (like course load and tuition costs) that are part of the data science PhD decision-making process.

Data Science PhD vs. Masters: Choosing the right option for you

If you’re considering pursuing a data science PhD, it’s worth knowing that such an advanced degree isn’t strictly necessary in order to get good work opportunities. Many who work in the field of big data only hold master’s degrees, which is the level of education expected to be a competitive candidate for data science positions.

So why pursue a data science PhD?

Simply put, a PhD in data science will leave you qualified to enter the big data industry at a high level from the outset.

You’ll be eligible for advanced positions within companies, holding greater responsibilities, keeping more direct communication with leadership, and having more influence on important data-driven decisions. You’re also likely to receive greater compensation to match your rank.

However, PhDs are not for everyone. Dissertations require a great deal of time and an interest in intensive research. If you are eager to jumpstart a career quickly, a master’s program will give you the preparation you need to hit the ground running. PhDs are appropriate for those who want to commit their time and effort to schooling as a long-term investment in their professional trajectory.

For more information on the difference between data science PhD’s and master’s programs, take a look at our guide here.

Topics include:

• Can I get an Online Ph.D in Data Science?
• Overview of Ph.d Coursework

Preparing for a Doctorate Program

Building a solid track record of professional experience, things to consider when choosing a school.

• What Does it Cost to Get a Ph.D in Data Science?
• School Listings

Data Science PhD Programs, Historically

Historically, data science PhD programs were one of the main avenues to get a good data-related position in academia or industry. But, PhD programs are heavily research oriented and require a somewhat long term investment of time, money, and energy to obtain. The issue that some data science PhD holders are reporting, especially in industry settings, is that that the state of the art is moving so quickly, and that the data science industry is evolving so rapidly, that an abundance of research oriented expertise is not always what’s heavily sought after.

Instead, many companies are looking for candidates who are up to date with the latest data science techniques and technologies, and are willing to pivot to match emerging trends and practices.

One recent development that is making the data science graduate school decisions more complex is the introduction of specialty master’s degrees, that focus on rigorous but compact, professional training. Both students and companies are realizing the value of an intensive, more industry-focused degree that can provide sufficient enough training to manage complex projects and that are more client oriented, opposed to research oriented.

However, not all prospective data science PhD students are looking for jobs in industry. There are some pretty amazing research opportunities opening up across a variety of academic fields that are making use of new data collection and analysis tools. Experts that understand how to leverage data systems including statistics and computer science to analyze trends and build models will be in high demand.

Can You Get a PhD in Data Science Online?

While it is not common to get a data science Ph.D. online, there are currently two options for those looking to take advantage of the flexibility of an online program.

Indiana University Bloomington and Northcentral University both offer online Ph.D. programs with either a minor or specialization in data science.

Given the trend for schools to continue increasing online offerings, expect to see additional schools adding this option in the near future.

Overview of PhD Coursework

A PhD requires a lot of academic work, which generally requires between four and five years (sometimes longer) to complete.

Here are some of the high level factors to consider and evaluate when comparing data science graduate programs.

How many credits are required for a PhD in data science?

On average, it takes 71 credits to graduate with a PhD in data science — far longer (almost double) than traditional master’s degree programs. In addition to coursework, most PhD students also have research and teaching responsibilities that can be simultaneously demanding and really great career preparation.

What’s the core curriculum like?

In a data science doctoral program, you’ll be expected to learn many skills and also how to apply them across domains and disciplines. Core curriculums will vary from program to program, but almost all will have a core foundation of statistics.

All PhD candidates will have to take a qualifying exam. This can vary from university to university, but to give you some insight, it is broken up into three phases at Yale. They have a practical exam, a theory exam and an oral exam. The goal is to make sure doctoral students are developing the appropriate level of expertise.

Dissertation

One of the final steps of a PhD program involves presenting original research findings in a formal document called a dissertation. These will provide background and context, as well as findings and analysis, and can contribute to the understanding and evolution of data science. A dissertation idea most often provides the framework for how a PhD candidate’s graduate school experience will unfold, so it’s important to be thoughtful and deliberate while considering research opportunities.

Since data science is such a rapidly evolving field and because choosing the right PhD program is such an important factor in developing a successful career path, there are some steps that prospective doctoral students can take in advance to find the best-fitting opportunity.

Join professional associations

Even before being fully credentials, joining professional associations and organizations such as the Data Science Association and the American Association of Big Data Professionals is a good way to get exposure to the field. Many professional societies are welcoming to new members and even encourage student participation with things like discounted membership fees and awards and contest categories for student researchers. One of the biggest advantages to joining is that these professional associations bring together other data scientists for conference events, research-sharing opportunities, networking and continuing education opportunities.

Leverage your social network

Be on the lookout to make professional connections with professors, peers, and members of industry. There are a number of LinkedIn groups dedicated to data science. A well-maintained professional network is always useful to have when looking for advice or letters of recommendation while applying to graduate school and then later while applying for jobs and other career-related opportunities.

Kaggle competitions

Kaggle competitions provide the opportunity to solve real-world data science problems and win prizes. A list of data science problems can be found at Kaggle.com . Winning one of these competitions is a good way to demonstrate professional interest and experience.

Internships

Internships are a great way to get real-world experience in data science while also getting to work for top names in the world of business. For example, IBM offers a data science internship which would also help to stand out when applying for PhD programs, as well as in seeking employment in the future.

Demonstrating professional experience is not only important when looking for jobs, but it can also help while applying for graduate school. There are a number of ways for prospective students to gain exposure to the field and explore different facets of data science careers.

Get certified

There are a number of data-related certificate programs that are open to people with a variety of academic and professional experience. DeZyre has an excellent guide to different certifications, some of which might help provide good background for graduate school applications.

Conferences

Conferences are a great place to meet people presenting new and exciting research in the data science field and bounce ideas off of newfound connections. Like professional societies and organizations, discounted student rates are available to encourage student participation. In addition, some conferences will waive fees if you are presenting a poster or research at the conference, which is an extra incentive to present.

It can be hard to quantify what makes a good-fit when it comes to data science graduate school programs. There are easy to evaluate factors, such as cost and location, and then there are harder to evaluate criteria such as networking opportunities, accessibility to professors, and the up-to-dateness of the program’s curriculum.

Nevertheless, there are some key relevant considerations when applying to almost any data science graduate program.

What most schools will require when applying:

• All undergraduate and graduate transcripts
• A statement of intent for the program (reason for applying and future plans)
• Letters of reference
• Application fee
• Online application
• A curriculum vitae (outlining all of your academic and professional accomplishments)

What Does it Cost to Get a PhD in Data Science?

The great news is that many PhD data science programs are supported by fellowships and stipends. Some are completely funded, meaning the school will pay tuition and basic living expenses. Here are several examples of fully funded programs:

• University of Southern California
• University of Nevada, Reno
• Kennesaw State University
• Worcester Polytechnic Institute
• University of Maryland

For all other programs, the average range of tuition, depending on the school can range anywhere from $1,300 per credit hour to $2,000 amount per credit hour. Remember, typical PhD programs in data science are between 60 and 75 credit hours, meaning you could spend up to $150,000 over several years.

That’s why the financial aspects are so important to evaluate when assessing PhD programs, because some schools offer full stipends so that you are able to attend without having to find supplemental scholarships or tuition assistance.

Can I become a professor of data science with a PhD.? Yes! If you are interested in teaching at the college or graduate level, a PhD is the degree needed to establish the full expertise expected to be a professor. Some data scientists who hold PhDs start by entering the field of big data and pivot over to teaching after gaining a significant amount of work experience. If you’re driven to teach others or to pursue advanced research in data science, a PhD is the right degree for you.

Do I need a master’s in order to pursue a PhD.? No. Many who pursue PhDs in Data Science do not already hold advanced degrees, and many PhD programs include all the coursework of a master’s program in the first two years of school. For many students, this is the most time-effective option, allowing you to complete your education in a single pass rather than interrupting your studies after your master’s program.

Can I choose to pursue a PhD after already receiving my master’s? Yes. A master’s program can be an opportunity to get the lay of the land and determine the specific career path you’d like to forge in the world of big data. Some schools may allow you to simply extend your academic timeline after receiving your master’s degree, and it is also possible to return to school to receive a PhD if you have been working in the field for some time.

If a PhD. isn’t necessary, is it a waste of time? While not all students are candidates for PhDs, for the right students – who are keen on doing in-depth research, have the time to devote to many years of school, and potentially have an interest in continuing to work in academia – a PhD is a great choice. For more information on this question, take a look at our article Is a Data Science PhD. Worth It?

Complete List of Data Science PhD Programs

Below you will find the most comprehensive list of schools offering a doctorate in data science. Each school listing contains a link to the program specific page, GRE or a master’s degree requirements, and a link to a page with detailed course information.

Note that the listing only contains true data science programs. Other similar programs are often lumped together on other sites, but we have chosen to list programs such as data analytics and business intelligence on a separate section of the website.

Boise State University  – Boise, Idaho PhD in Computing – Data Science Concentration

The Data Science emphasis focuses on the development of mathematical and statistical algorithms, software, and computing systems to extract knowledge or insights from data.  

In 60 credits, students complete an Introduction to Graduate Studies, 12 credits of core courses, 6 credits of data science elective courses, 10 credits of other elective courses, a Doctoral Comprehensive Examination worth 1 credit, and a 30-credit dissertation.

Electives can be taken in focus areas such as Anthropology, Biometry, Ecology/Evolution and Behavior, Econometrics, Electrical Engineering, Earth Dynamics and Informatics, Geoscience, Geostatistics, Hydrology and Hydrogeology, Materials Science, and Transportation Science.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $7,236 total (Resident), $24,573 total (Non-resident)

View Course Offerings

Bowling Green State University  – Bowling Green, Ohio Ph.D. in Data Science

Data Science students at Bowling Green intertwine knowledge of computer science with statistics.

Students learn techniques in analyzing structured, unstructured, and dynamic datasets.

Courses train students to understand the principles of analytic methods and articulating the strengths and limitations of analytical methods.

The program requires 60 credit hours in the studies of Computer Science (6 credit hours), Statistics (6 credit hours), Data Science Exploration and Communication, Ethical Issues, Advanced Data Mining, and Applied Data Science Experience.

Students must also complete 21 credit hours of elective courses, a qualifying exam, a preliminary exam, and a dissertation.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $8,418 (Resident), $14,410 (Non-resident)

Brown University  – Providence, Rhode Island PhD in Computer Science – Concentration in Data Science

Brown University’s database group is a world leader in systems-oriented database research; they seek PhD candidates with strong system-building skills who are interested in researching TupleWare, MLbase, MDCC, Crowd DB, or PIQL.

In order to gain entrance, applicants should consider first doing a research internship at Brown with this group. Other ways to boost an application are to take and do well at massive open online courses, do an internship at a large company, and get involved in a large open-source software project.

Coding well in C++ is preferred.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $62,680 total

Chapman University  – Irvine, California Doctorate in Computational and Data Sciences

Candidates for the doctorate in computational and data science at Chapman University begin by completing 13 core credits in basic methodologies and techniques of computational science.

Students complete 45 credits of electives, which are personalized to match the specific interests and research topics of the student.

Finally, students complete up to 12 credits in dissertation research.

Applicants must have completed courses in differential equations, data structures, and probability and statistics, or take specific foundation courses, before beginning coursework toward the PhD.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $37,538 per year

Clemson University / Medical University of South Carolina (MUSC) – Joint Program – Clemson, South Carolina & Charleston, South Carolina Doctor of Philosophy in Biomedical Data Science and Informatics – Clemson

The PhD in biomedical data science and informatics is a joint program co-authored by Clemson University and the Medical University of South Carolina (MUSC).

Students choose one of three tracks to pursue: precision medicine, population health, and clinical and translational informatics. Students complete 65-68 credit hours, and take courses in each of 5 areas: biomedical informatics foundations and applications; computing/math/statistics/engineering; population health, health systems, and policy; biomedical/medical domain; and lab rotations, seminars, and doctoral research.

Applicants must have a bachelor’s in health science, computing, mathematics, statistics, engineering, or a related field, and it is recommended to also have competency in a second of these areas.

Program requirements include a year of calculus and college biology, as well as experience in computer programming.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $10,858 total (South Carolina Resident), $22,566 total (Non-resident)

View Course Offerings – Clemson

George Mason University  – Fairfax, Virginia Doctor of Philosophy in Computational Sciences and Informatics – Emphasis in Data Science

George Mason’s PhD in computational sciences and informatics requires a minimum of 72 credit hours, though this can be reduced if a student has already completed a master’s. 48 credits are toward graduate coursework, and an additional 24 are for dissertation research.

Students choose an area of emphasis—either computer modeling and simulation or data science—and completed 18 credits of the coursework in this area. Students are expected to completed the coursework in 4-5 years.

Applicants to this program must have a bachelor’s degree in a natural science, mathematics, engineering, or computer science, and must have knowledge and experience with differential equations and computer programming.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $13,426 total (Virginia Resident), $35,377 total (Non-resident)

Harrisburg University of Science and Technology  – Harrisburg, Pennsylvania Doctor of Philosophy in Data Sciences

Harrisburg University’s PhD in data science is a 4-5 year program, the first 2 of which make up the Harrisburg master’s in analytics.

Beyond this, PhD candidates complete six milestones to obtain the degree, including 18 semester hours in doctoral-level courses, such as multivariate data analysis, graph theory, machine learning.

Following the completion of ANLY 760 Doctoral Research Seminar, students in the program complete their 12 hours of dissertation research bringing the total program hours to 36.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $14,940 total

Icahn School of Medicine at Mount Sinai  – New York, New York Genetics and Data Science, PhD

As part of the Biomedical Science PhD program, the Genetics and Data Science multidisciplinary training offers research opportunities that expand on genetic research and modern genomics. The training also integrates several disciplines of biomedical sciences with machine learning, network modeling, and big data analysis.

Students in the Genetics and Data Science program complete a predetermined course schedule with a total of 64 credits and 3 years of study.

Additional course requirements and electives include laboratory rotations, a thesis proposal exam and thesis defense, Computer Systems, Intro to Algorithms, Machine Learning for Biomedical Data Science, Translational Genomics, and Practical Analysis of a Personal Genome.

Delivery Method: Campus GRE: Not Required 2022-2023 Tuition: $31,303 total

Indiana University-Purdue University Indianapolis  – Indianapolis, Indiana PhD in Data Science PhD Minor in Applied Data Science

Doctoral candidates pursuing the PhD in data science at Indiana University-Purdue must display competency in research, data analytics, and at management and infrastructure to earn the degree.

The PhD is comprised of 24 credits of a data science core, 18 credits of methods courses, 18 credits of a specialization, written and oral qualifying exams, and 30 credits of dissertation research. All requirements must be completed within 7 years.

Applicants are generally expected to have a master’s in social science, health, data science, or computer science. 

Currently a majority of the PhD students at IUPUI are funded by faculty grants and two are funded by the federal government. None of the students are self funded.

IUPUI also offers a PhD Minor in Applied Data Science that is 12-18 credits. The minor is open to students enrolled at IUPUI or IU Bloomington in a doctoral program other than Data Science.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $9,228 per year (Indiana Resident), $25,368 per year (Non-resident)

Jackson State University – Jackson, Mississippi PhD Computational and Data-Enabled Science and Engineering

Jackson State University offers a PhD in computational and data-enabled science and engineering with 5 concentration areas: computational biology and bioinformatics, computational science and engineering, computational physical science, computation public health, and computational mathematics and social science.

Students complete 12 credits of common core courses, 12 credits in the specialization, 24 credits of electives, and 24 credits in dissertation research.

Students may complete the doctoral program in as little as 5 years and no more than 8 years.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $8,270 total

Kennesaw State University  – Kennesaw, Georgia PhD in Analytics and Data Science

Students pursuing a PhD in analytics and data science at Kennesaw State University must complete 78 credit hours: 48 course hours and 6 electives (spread over 4 years of study), a minimum 12 credit hours for dissertation research, and a minimum 12 credit-hour internship.

Prior to dissertation research, the comprehensive examination will cover material from the three areas of study: computer science, mathematics, and statistics.

Successful applicants will have a master’s degree in a computational field, calculus I and II, programming experience, modeling experience, and are encouraged to have a base SAS certification.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $5,328 total (Georgia Resident), $19,188 total (Non-resident)

New Jersey Institute of Technology  – Newark, New Jersey PhD in Business Data Science

Students may enter the PhD program in business data science at the New Jersey Institute of Technology with either a relevant bachelor’s or master’s degree. Students with bachelor’s degrees begin with 36 credits of advanced courses, and those with master’s take 18 credits before moving on to credits in dissertation research.

Core courses include business research methods, data mining and analysis, data management system design, statistical computing with SAS and R, and regression analysis.

Students take qualifying examinations at the end of years 1 and 2, and must defend their dissertations successfully by the end of year 6.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $21,932 total (New Jersey Resident), $32,426 total (Non-resident)

New York University  – New York, New York PhD in Data Science

Doctoral candidates in data science at New York University must complete 72 credit hours, pass a comprehensive and qualifying exam, and defend a dissertation with 10 years of entering the program.

Required courses include an introduction to data science, probability and statistics for data science, machine learning and computational statistics, big data, and inference and representation.

Applicants must have an undergraduate or master’s degree in fields such as mathematics, statistics, computer science, engineering, or other scientific disciplines. Experience with calculus, probability, statistics, and computer programming is also required.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $37,332 per year

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Northcentral University  – San Diego, California PhD in Data Science-TIM

Northcentral University offers a PhD in technology and innovation management with a specialization in data science.

The program requires 60 credit hours, including 6-7 core courses, 3 in research, a PhD portfolio, and 4 dissertation courses.

The data science specialization requires 6 courses: data mining, knowledge management, quantitative methods for data analytics and business intelligence, data visualization, predicting the future, and big data integration.

Applicants must have a master’s already.

Delivery Method: Online GRE: Required 2022-2023 Tuition: $16,794 total

Stevens Institute of Technology – Hoboken, New Jersey Ph.D. in Data Science

Stevens Institute of Technology has developed a data science Ph.D. program geared to help graduates become innovators in the space.

The rigorous curriculum emphasizes mathematical and statistical modeling, machine learning, computational systems and data management.

The program is directed by Dr. Ted Stohr, a recognized thought leader in the information systems, operations and business process management arenas.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $39,408 per year

University at Buffalo – Buffalo, New York PhD Computational and Data-Enabled Science and Engineering

The curriculum for the University of Buffalo’s PhD in computational and data-enabled science and engineering centers around three areas: data science, applied mathematics and numerical methods, and high performance and data intensive computing. 9 credit course of courses must be completed in each of these three areas. Altogether, the program consists of 72 credit hours, and should be completed in 4-5 years. A master’s degree is required for admission; courses taken during the master’s may be able to count toward some of the core coursework requirements.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $11,310 per year (New York Resident), $23,100 per year (Non-resident)

University of Colorado Denver – Denver, Colorado PhD in Big Data Science and Engineering

The University of Colorado – Denver offers a unique program for those students who have already received admission to the computer science and information systems PhD program.

The Big Data Science and Engineering (BDSE) program is a PhD fellowship program that allows selected students to pursue research in the area of big data science and engineering. This new fellowship program was created to train more computer scientists in data science application fields such as health informatics, geosciences, precision and personalized medicine, business analytics, and smart cities and cybersecurity.

Students in the doctoral program must complete 30 credit hours of computer science classes beyond a master’s level, and 30 credit hours of dissertation research.

The BDSE fellowship requires students to have an advisor both in the core disciplines (either computer science or mathematics and statistics) as well as an advisor in the application discipline (medicine and public health, business, or geosciences).

In addition, the fellowship covers full stipend, tuition, and fees up to ~50k for BDSE fellows annually. Important eligibility requirements can be found here.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $55,260 total

University of Marylan d  – College Park, Maryland PhD in Information Studies

Data science is a potential research area for doctoral candidates in information studies at the University of Maryland – College Park. This includes big data, data analytics, and data mining.

Applicants for the PhD must have taken the following courses in undergraduate studies: programming languages, data structures, design and analysis of computer algorithms, calculus I and II, and linear algebra.

Students must complete 6 qualifying courses, 2 elective graduate courses, and at least 12 credit hours of dissertation research.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $16,238 total (Maryland Resident), $35,388 total (Non-resident)

University of Massachusetts Boston  – Boston, Massachusetts PhD in Business Administration – Information Systems for Data Science Track

The University of Massachusetts – Boston offers a PhD in information systems for data science. As this is a business degree, students must complete coursework in their first two years with a focus on data for business; for example, taking courses such as business in context: markets, technologies, and societies.

Students must take and pass qualifying exams at the end of year 1, comprehensive exams at the end of year 2, and defend their theses at the end of year 4.

Those with a degree in statistics, economics, math, computer science, management sciences, information systems, and other related fields are especially encouraged, though a quantitative degree is not necessary.

Students accepted by the program are ordinarily offered full tuition credits and a stipend ($25,000 per year) to cover educational expenses and help defray living costs for up to three years of study.

During the first two years of coursework, they are assigned to a faculty member as a research assistant; for the third year students will be engaged in instructional activities. Funding for the fourth year is merit-based from a limited pool of program funds

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $18,894 total (in-state), $36,879 (out-of-state)

University of Nevada Reno – Reno, Nevada PhD in Statistics and Data Science

The University of Nevada – Reno’s doctoral program in statistics and data science is comprised of 72 credit hours to be completed over the course of 4-5 years. Coursework is all within the scope of statistics, with titles such as statistical theory, probability theory, linear models, multivariate analysis, statistical learning, statistical computing, time series analysis.

The completion of a Master’s degree in mathematics or statistics prior to enrollment in the doctoral program is strongly recommended, but not required.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $5,814 total (in-state), $22,356 (out-of-state)

University of Southern California – Los Angles, California PhD in Data Sciences & Operations

USC Marshall School of Business offers a PhD in data sciences and operations to be completed in 5 years.

Students can choose either a track in operations management or in statistics. Both tracks require 4 courses in fall and spring of the first 2 years, as well as a research paper and courses during the summers. Year 3 is devoted to dissertation preparation and year 4 and/or 5 to dissertation defense.

A bachelor’s degree is necessary for application, but no field or further experience is required.

Students should complete 60 units of coursework. If the students are admitted with Advanced Standing (e.g., Master’s Degree in appropriate field), this requirement may be reduced to 40 credits.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $63,468 total

University of Tennessee-Knoxville  – Knoxville, Tennessee The Data Science and Engineering PhD

The data science and engineering PhD at the University of Tennessee – Knoxville requires 36 hours of coursework and 36 hours of dissertation research. For those entering with an MS degree, only 24 hours of course work is required.

The core curriculum includes work in statistics, machine learning, and scripting languages and is enhanced by 6 hours in courses that focus either on policy issues related to data, or technology entrepreneurship.

Students must also choose a knowledge specialization in one of these fields: health and biological sciences, advanced manufacturing, materials science, environmental and climate science, transportation science, national security, urban systems science, and advanced data science.

Applicants must have a bachelor’s or master’s degree in engineering or a scientific field. 

All students that are admitted will be supported by a research fellowship and tuition will be included.

Many students will perform research with scientists from Oak Ridge national lab, which is located about 30 minutes drive from campus.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $11,468 total (Tennessee Resident), $29,656 total (Non-resident)

University of Vermont – Burlington, Vermont Complex Systems and Data Science (CSDS), PhD

Through the College of Engineering and Mathematical Sciences, the Complex Systems and Data Science (CSDS) PhD program is pan-disciplinary and provides computational and theoretical training. Students may customize the program depending on their chosen area of focus.

Students in this program work in research groups across campus.

Core courses include Data Science, Principles of Complex Systems and Modeling Complex Systems. Elective courses include Machine Learning, Complex Networks, Evolutionary Computation, Human/Computer Interaction, and Data Mining.

The program requires at least 75 credits to graduate with approval by the student graduate studies committee.

Delivery Method: Campus GRE: Not Required 2022-2023 Tuition: $12,204 total (Vermont Resident), $30,960 total (Non-resident)

University of Washington Seattle Campus – Seattle, Washington PhD in Big Data and Data Science

The University of Washington’s PhD program in data science has 2 key goals: training of new data scientists and cyberinfrastructure development, i.e., development of open-source tools and services that scientists around the world can use for big data analysis.

Students must take core courses in data management, machine learning, data visualization, and statistics.

Students are also required to complete at least one internship that covers practical work in big data.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $17,004 per year (Washington resident), $30,477 (non-resident)

University of Wisconsin-Madison – Madison, Wisconsin PhD in Biomedical Data Science

The PhD program in Biomedical Data Science offered by the Department of Biostatistics and Medical Informatics at UW-Madison is unique, in blending the best of statistics and computer science, biostatistics and biomedical informatics. 

Students complete three year-long course sequences in biostatistics theory and methods, computer science/informatics, and a specialized sequence to fit their interests.

Students also complete three research rotations within their first two years in the program, to both expand their breadth of knowledge and assist in identifying a research advisor.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $10,728 total (in-state), $24,054 total (out-of-state)

Vanderbilt University – Nashville, Tennessee Data Science Track of the BMI PhD Program

The PhD in biomedical informatics at Vanderbilt has the option of a data science track.

Students complete courses in the areas of biomedical informatics (3 courses), computer science (4 courses), statistical methods (4 courses), and biomedical science (2 courses). Students are expected to complete core courses and defend their dissertations within 5 years of beginning the program.

Applicants must have a bachelor’s degree in computer science, engineering, biology, biochemistry, nursing, mathematics, statistics, physics, information management, or some other health-related field.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $53,160 per year

Washington University in St. Louis – St. Louis, Missouri Doctorate in Computational & Data Sciences

Washington University now offers an interdisciplinary Ph.D. in Computational & Data Sciences where students can choose from one of four tracks (Computational Methodologies, Political Science, Psychological & Brain Sciences, or Social Work & Public Health).

Students are fully funded and will receive a stipend for at least five years contingent on making sufficient progress in the program.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $59,420 total

Worcester Polytechnic Institute – Worcester, Massachusetts PhD in Data Science

The PhD in data science at Worcester Polytechnic Institute focuses on 5 areas: integrative data science, business intelligence and case studies, data access and management, data analytics and mining, and mathematical analysis.

Students first complete a master’s in data science, and then complete 60 credit hours beyond the master’s, including 30 credit hours of research.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $28,980 per year

Yale University – New Haven, Connecticut PhD Program – Department of Stats and Data Science

The PhD in statistics and data science at Yale University offers broad training in the areas of statistical theory, probability theory, stochastic processes, asymptotics, information theory, machine learning, data analysis, statistical computing, and graphical methods. Students complete 12 courses in the first year in these topics.

Students are required to teach one course each semester of their third and fourth years.

Most students complete and defend their dissertations in their fifth year.

Applicants should have an educational background in statistics, with an undergraduate major in statistics, mathematics, computer science, or similar field.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $46,900 total

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50 Top Scholarships For Data Science Degree Programs

Krystle Dodge

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Did you know that in the last two years, we’ve collectively created more data than the rest of human history combined? Did you also know that the phenomenon of “data graves” — where underutilized data is forgotten forever — is costing large organizations billions of dollars? This is where data science professionals step in. In what’s been called the “hottest job” of the 21st century, individuals who can make the huge range of data we’re collectively generating actionable are in high demand. But don’t take our word for it, let the numbers speak for themselves in our listing of 50 of the most lucrative data science-related scholarships below!

ACM SIGHPC/Intel Computational & Data Science Fellowship

• The a CMCIGHPC/Intel Computational and Data Science Fellowships were designed to recruit diverse students pursuing a career and degree in the computing field. Specifically the scholarship is for women or students from racially ethnic backgrounds. To be eligible for this scholarship you must be nominated. Computational science encompasses any program where computational modeling are used including computational chemistry, wildfire modeling, and computational hydrodynamics.
• Diverse Backgrounds

Acxiom Corporation Diversity Scholarship

• The Acxiom Corporation diversity scholarship is a $5000 scholarship for diverse students who are enrolled full-time in a degree program such as computer science, computer information systems, management information systems, information quality, information systems, engineering, mathematics and statistics or anything related to data science.

HIMSS Minnesota Graduate Health IT Scholarship

• The HIMMSS healthcare information and management system society Minnesota chapter awards scholarships for undergraduates as well as graduate students studying healthcare information or management systems. To be eligible for this you must be a full-time or part-time student enrolled in an accredited associate, bachelors, masters, or doctoral program related to healthcare information. Candidates must either be a Minnesota resident or reside in the state that borders Minnesota. The amount for the scholarship varies.
• Minnesota Resident

INFORMS Analytics Society Student Scholarship

• The purpose of the innovative applications and analytics awards is to recognize the unique application of a combination of analytical techniques. The prizes are awarded to recipients each year in various amounts. Some examples according to their website include novel measures, visualization methods, or creative approaches to the analytics process improvement.

Milliman Opportunity Scholarship Fund

• Chicago public schools offer scholarships to graduating high school seniors. Students will qualify for scholarships based on a number of different needs including: financial need, academic merit, ethnicity/ race, and gender. The amount of the scholarships vary.
• High School Seniors

MinneAnalytics Data Science Scholarship

• The MinneAnalytics Data Scholarships are for undergraduate students pursuing a career in analytics and who show a commitment to engaging with their community. In order to apply students must be a current undergraduate student who is pursuing a degree in the field of data analytics display a passion for that and show an ongoing commitment to community engagement. The amount of the awards are $1000.
• Undergraduate

Portland DPMA Chapter Scholarships

• The DPMA Data Processing Management Association/Portland chapter offers at least one $1000 scholarship each year as part of their educational promotion program. Additionally these scholarships include a $500 yearly renewal depending upon the student’s academic performance.

Remote DBA Experts to Students Scholarship

• The remote DBA scholarship is a $1000 award to an outstanding student pursuing studies at an accredited college or university. Students enrolled in an accredited college or university in the United States with a minimum GPA of 2.5 may apply. High school graduate seniors with a graduate GPA of 3.0 or above are also eligible to apply.
• High School Seniors, Undergraduate

Strong Analytics Data Science Scholarship

• Strong analytics offers a $1000 scholarship for a secondary and post secondary student who is interested in pursuing a career in data science. The purpose of the program is to give students an opportunity to experience real world problems outside of their classroom.

UNCF/Alliance Data Scholarship and Internship

• The UNCF/alliance data scholarship is for underrepresented minorities who are college students enrolled at an accredited four-year college or university. Preference is given to students who are attending an historically black college or university. Eligible candidates must be classified as either a sophomore or a junior with a minimum GPA of 3.0. This is a $5000 scholarship.
• Sophmore, Junior

Open Data Science Conference Scholarship

• Minorities or groups were under represented in a technology who are looking for a pass to the ODSC diversity conference should apply directly on their website. Undergraduate college/graduate student minorities are encouraged to apply. Some other upper underrepresented communities include women in those in the LGBTQ community.

Insight Data Science

• If you have a PhD in a quantitative feel such as physics, astro physics, mathematics, statistics,, neuroscience, bio informatics, engineering, computer science, or quantitative social science then you are eligible to apply for a fellowship to the Insight Data Science seven week post doctoral training program. The purpose of the program is to bridge the gap between academia and data science in the following areas: Silicon Valley, New York, Boston, and Seattle.

Metis Data Science

• Metis is the only accredited Boot Camp in data science. The Metis Scholarship is a $3000 scholarship from Wiman or members of underrepresented groups such as the LGBTQ community or veterans of the US military. The scholarship covers partial tuition for students interesting in enrolling in their 12 week data science Boot Camp.

Upgrade Online Scholarship

• The Upgrade Online Scholarship program as a $250 or $500 scholarship for individuals who are non-traditional learners. To be eligible for the upgrade scholarship a student must: be an adult learner who is at least 25 years of age, be an active participant in the Upgrade Program be attending college in the following colleges Texas A&M St. Mary’s UTSA our Lady of the lake Trinity or Alamo colleges have at least a GPA of 2.0 and be working towards an undergraduate degree including certificate associates or bachelors degree.
• Nontraditional, Undergraduate
• The AMC SIGHPC computational and data science fellowships was created to increase the diversity of students who are pursuing graduate degrees in data science and computational Science. These degrees are specifically targeted at women are students from racial/ethnic backgrounds. To qualify you must be either currently in rolled in a graduate program or be excepted to one, pursuing a graduate degree that has a masters PhD or the equivalent of in computational or data science.Applicants must be either a woman or a member of a racial/ethnic group that is under represented in the field of computing.
• Graduate, Diverse

Bill Caspare Memorial Diversity Scholarship

• The Bill Caspare Memorial Fund is a diversity scholarship for US citizens who are either African-American, Asian American, Hispanic American, Native American or multi cultural or LGBTQ. Applicants must have a minimum GPA of a 3.25 in order to apply. This is a $10,000 award.

CA Technologies Fellowship for Women

• The University of Vermont continuing in distance education programming offers a number of of scholarships. The CA Technologies Fellowship is a tuition scholarship for women who are pursuing a master of science and complex systems in data science at the University of Vermont. Recipients will also receive a stipend for UVM’s MS and complex systems and data science which also gives them the opportunity to collaborate with the CA technologies.
• Women, University of Vermont

Daniel Larose Scholarship for Data Mining Excellence

• If you are a post graduate at Central Connecticut State University you’re eligible for the Daniel Larose Scholarship for Data Mining Excellence. Applicants must finish 12 masters degree credits receiving a grade of a B or better., and have a cumulative GPA of 3.5. The amount for the scholarship is $4000 annually or $2000 per semester.

Fisher Family Fund Fellowship Program

• The Fisher Family Fund Fellowship is a $2000 award designed to provide financial assistance to students who are pursuing data science and business analytics. Students must be enrolled in graduate studies with in the college of computing and informatics at the University of North Carolina and Charlotte. To qualify for this award is students must have a college GPA that ranges between at 3.75 and 4.0.
• Graduate, 3.75 GPA

GAANN PhD Fellowship in Big Data Computing Research

• Full Tuition
• The GAANN PHD Fellowship and Artificial Intelligence research provides graduate students demonstrating a financial need and a plan to pursue an area of national need. Students need to study artificial intelligence research in collaboration with WPI or WPI learning sciences and technologies faculty. The GAANN fellowship offers a $34,000 stipend, full tuition, health insurance and more. Head to their website to apply.
• The HIMSS Minnesota chapter offers an undergraduate health IT scholarship as well the graduate nursing informatics scholarship. To be eligible to apply you must be a part-time or full-time student in an accredited Associates or bachelors degree. Applicants must either be a Minnesota resident or a resident of one of their bordering states.
• Undergraduate, Graduate

Ike Wai Graduate Scholarship Program

• The Ike Wai Graduate Scholars Program was designed to ensure Hawaii’s future water security through the integration of research education and community development. To be eligible for the scholarship you must be a full-time graduate student at the University of Hawaii as well as pursuing a research based masters or doctoral degree in an Ike Wai research focus area such as: geoscience, data science, engineering, social science, or a Hawaiian language. The amount of the scholarships vary.

Jack Larson Data for Public Good Fellowship

• The UC College of Berkeley offers an online masters of information and data science. The Jack Larson Data for Good Fellowship is an $8500 fellowship awarded to one MIDS student per cohort over the next two years.
• Master’s

Lilly Endowment Scholarship for Data Science

• The Lilly Endowment Scholarship for Data Science is a merit- based scholarship for students who are admitted to the Masters of science and data science program at St. Mary’s. Scholarships are awarded in $5000 amounts and may be renewed each year.
• The mailman scholarship was created to assist college and university students from diverse ethnic backgrounds. These races have historically been under represented in the fields of actuarial science, data science, computer science, programming, economics, mathematics and more. Just to be eligible for this scholarship you must identify as a black or African-American or Latino/Hispanic or American Indian or Alaskan native individual. Applicants from the UK and Ireland South Africa and Australia should be black or African Caribbean, an Irish traveler a gypsy, aboriginal or a tourist strait islander. Additionally this is a merit based scholarship so all applicants must be academically high achieving.
• Diversity, Merit-based
• The MinneAnalytics Scholarships are for current undergraduate students who are pursuing a degree in data analytics who also display a passion for pursuing a career in data science or a related field. The awards are presented in the amount of $1000 and are limited to one department or school per year.
• The data processing management association offers a $1000 scholarship each year. Each of the scholarships includes a $500 yearly renewal depending on student performance.
• Remote DBA Experts to Students Scholarships is for students who are currently enrolled in an accredited college or university in the United States. Applicants must have a minimum GPA of 2.5 or be graduating high school seniors with a GPA of 3.0. The amount of the scholarship varies.
• High School Seniors, Undergraduates

Russ Peterson Technology Scholarship

• The Russ Peterson Technology scholarship is for high school seniors attending Ogallala and surrounding communities. The student must be planning to attend college in a technical field such as construction welding machine shop technology building train electrical technology or something similar. This is an award of $1000.
• The strong data science is a data science consulting and machine learning development firm that offers $1000 to a secondary or post secondary student who is interested in pursuing a career in data science.They founded Strong after earning their PhD’s in cognitive science in neuroscience at Northwestern University. Strong hosts a hack-a-thon by Northwestern giving the students an opportunity to sharpen their skills in the real world.
• UNCF/Alliance Data Scholarship and internship program is a $5000 scholarship for an under represented minority who is in rolled in an accredited for your college or university attending and historically black college and university in the following areas Plano Texas and Atlanta Georgia. Applicants must have a minimum of a 3.0 GPA and be a US citizen or a permanent resident.

William “Bill” Inmon Scholarship for Data Analytics

• The William Inmon scholarship for Data Analytics was established in 2017. The award has matching grants and is awarded to students from the University of Calgary and will provide $2000 per person per academic year.
• College, Universiy of Calgary

Big Data Science & Analytics Scholarship

• The big data and analytics scholarship is a buy annual scholarship for $2000. To be eligible for the scholarship you must be an undergraduate or graduate level student in one of the following areas: business analytics, data science, data analytics, computer science, information systems, math statistics.

Bill Caspere Memorial Diversity Scholarship

• The Visto Bill Casper a memorial fund diversity scholarship is for US citizens who are permanent residence. To be eligible to apply must be African-American, Asian American Hispanic American native American or multi racial or a member of the LGBTQ community. Full-time students with a GPA of 3.25 are encouraged to apply. This is a $10,000 award.
• $1,500-2,000
• The HIMSS Minnesota chapter awards two scholarships each year to graduate students were studying healthcare informatics or management systems. The following three scholarships are available: undergraduate health IT scholarship, graduate IT scholarship, graduate nursing informatics scholarship. The amount of the scholarships vary
• The Applications and Analytics Award is brought to you by the Analytic Society of INFORMS. The purpose of the award is to recognize the creativity you need to combines analytical techniques. Applicant should submit proposals that span applications of descriptive, and predictive or prescriptive analytics.
• Creativity award
• The Lilly Endowment Scholarship is for residents of Indiana or recent graduates within the past year of an undergraduate institution within Indiana. The Lilliy Endowment Scholarship for data scientist is a merit based scholarship awarded to students who have been admitted to the master of science and data science program at St. Mary’s College. The amount for the scholarship is $5000.
• MS Data Science
• Chicago Public Schools offer scholarships to students who are recent graduates of high school in the Chicago area. To apply for the scholarships had to the CPS system login using your CPS credentials and complete your general application.
• High School Graduate
• CUNY School Professional Studies office annual scholarships including special words and programs. The Russ Peterson technology scholarship is in memory of Russel Peterson. The amount of the award varies. It is based on financial need as well as academic merit. To be eligible for this award students must have completed at least six credits at the CUNY school of professional studies and be majoring in a bachelor of science and information systems, or the BS in health information management or the MS and data analytics. Students will have a minimum GPA of 3.0.

Carlson School of Management Scholarship

• The Carlson School of Management at the University of Minnesota offers scholarships for graduate school. The MS in business analytics program provides students with data science skills. The university offers 20 $20,000 scholarships for students who are US citizens or US residents. Scholarships are merit-based.

Minneanalytics Data Science Scholarship

• MINNE Analytics Scholarships are scholarships for undergraduate students who have shown a passion in analytics. Undergraduate students must be showing a drive to pursue a career in analytics and be committed to ongoing community engagement. This is a $1000 award.

Fisher Family Fund Scholarship

• The Fisher Family Fund fellowship is a $2000 award. To be eligible for this award you must be majoring in data science in business analytics, demonstrate a financial need, be pursuing a Masters or certification and have a GPA that ranges from 3.75 to 4.0.

Jack Larson Data for Good Fellowship

• The Jack Larson data for good fellowship is an $8500 fellowship awarded to students pursuing the online master of information and data science at the Berklee school of information.

Women in Data Science Scholarship

• The Quant Hub Women in Data Science Scholarship as a $1000 award to women who are pursuing a data science program. This is a merit based scholarships for women who have career goals and impressive backgrounds in data science.

ACM SIGHPC/Intell Computational & Data Science Fellowship

• The AMC SIGHPC is a $15,000 scholarship for people who are not traditionally involved in data science. The program was created to increase diversity of students pursuing graduate degrees in data as well as computational science. Specifically this scholarship is targeted at women and minorities. To qualify you must be pursuing either a graduate degree such as a masters agree or a PhD or some thing that is the equivalent of.
• Master’s PHD
• Strong analytics Is offering a $1000 scholarship for secondary and post secondary students who are pursuing a career in data science. To be eligible for this award you must create a project that is publicly available and open access. If students or team may only make one single submission. Submissions must be hosted at a public repository such as Github.
• open access project
• UNCF/alliance Data Scholarship and internship program is a $5000 scholarship that is need-based. To be eligible for the scholarship he must be in underrepresented minority college student who is enrolled in accredited four year college or university, Individuals residing in Plano Texas or Atlanta Georgia will be given priority for the scholarship. Additionally to apply you must have a GPA of 3.0

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Leveraging big data and AI/ML for smart transport solutions ( PhD scholarship)

the link to this scholarship website into question 2 of the financial details section. About the scholarship This PhD position aims to harness the potential of big traffic and mobility data alongside cutting

PhD position: Big Data Analytics and AI in Port Performance Optimization – Infrastructure Use

refining novel models and methods. As a PhD candidate in Infrastructure Use, you will play an important role in exploring the operational dimensions of port infrastructure through the lens of data

PhD Position Big Data Analytics and AI in Port Performance Optimization – Infrastructure State

refining novel models and methods. As a PhD candidate in Infrastructure State, you will play an important role in exploring the strategic dimensions of port infrastructure through the lens of data

EPSRC PhD Studentship in: Big Data , Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance

EPSRC PhD Studentship in: Big Data , Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance Department of Civil and Structural Engineering PhD Research Project

Big data analytics for industrial application PhD

This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens

PhD Scholarship in Big Data and Analytics for Crop Genetics

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PhD Scholarship in Mood and Immunity in the Elderly: Big Data and Systems Biology

and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big - data ‘omics’ analysis of blood immune cells, including

PhD Studentship: Climate change-resilient geotechnical infrastructure

targeted and timely preventative actions. This PhD will take advantage of the new National Engineered Slope Simulator (NESS) facility; a large -scale, configurable, climate-controlled clay slope testing

Research Fellow I

large data sets, and ensuring the model's accuracy and reliability. The candidate is also expected to work closely with the Principal Investigator on research publications, project applications, as

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Your Guide to Data Science Scholarships for 2018

How to qualify for a data science scholarship, your best bets for finding a data science scholarship, directory of scholarships available at the national and state level.

Unlike some other specialties in information technology, you really can’t just jump in and learn data science on the basis of your analytical talent and hours of trial and error experimentation— it requires a formal education both to understand the complex concepts and to be trained in the tools of the trade. But even as recently as 2012, there wasn’t even a specific degree option for would-be data scientists. A background in math, statistics, or programming was the most common path to a career in the field.

But things have changed a lot since then, with universities scrambling to meet the demand for trained data scientists by bringing specialized programs online that include the combination of statistical analysis and modeling, math, programming and data mining courses that are the hallmark of a true data science program.

Since around 88% of data scientists hold master’s degrees, that means you’ve got an expensive couple of years ahead of you if you’re serious about this field. You’re going to be making a mint when you graduate, but you have to get through it first. And unless you want to be paying down loans for the first decade of your career, scholarships are one of the best ways to make sure that education is affordable.

Every college scholarship has criteria that applicants are going to be expected to meet. You can expect to come across criteria that will include everything from your location (either where you are from or where you will be going to school) and GPA to your gender and ethnicity.

But criteria can also be more subjective, including things like:

• Written essays on the topic of data science
• Participation in activities or clubs related to the profession
• An agreement to commit to completing an internship or taking a job at a designated employer
• Belonging to a particular organization or finding a sponsor from one

Those basic qualifications are only your first hurdle to clear, though. You won’t just be judged against a list of items on an application form, you’ll also be measured against other candidates looking for those same scholarships. Data science is a hot field and attracts some of the best and the brightest students. You’ll be up against their transcripts and backgrounds, too.

To prepare yourself for that kind of competition, you’ll need some extracurriculars to brag about. This just means being able to show that you have the dedication and perseverance to study outside the requirements of the classroom.

Scholarship awards committees want to know they are putting their money into a candidate who will follow through and contribute to the field after graduation.

Some scholarships, like the Strong Analytics Strong Data Science Scholarship , make the competition even more explicit. Strong’s submission process requires that you perform an analysis on a publicly available dataset and create a presentation on your findings that they will review and judge against those from other competitors.

Competitions of this sort are a great way to both demonstrate your dedication to the field and to help develop your skills, whether you win the award or not.

Since data science is such a new field, it doesn’t have as many dedicated, well-established scholarship funds as other engineering or technology specialties do. You will probably have to dig deeper and be more creative to find data science scholarships than if you were simply going into computer science.

On there other hand, your best bet for scholarship money might be to find scholarships that do not have anything to do with data science specifically. Instead, scholarships that cover computer science and other STEM (Science, Technology, Engineering, and Math) fields are often applicable to data science programs.

For example, the Future Leaders of IT Scholarships provide $2,000 to recipients in any information technology-related field of study. These types of scholarships are far more widely available and easier to match with your particular criteria than dedicated data science scholarships.

Organizations Promoting Science Education

There are many organizations promoting science education today, both generally and for particular groups of students who are underrepresented in data science.

The Pride Foundation offers the Friends of Alan Turing Scholarship for LGBTQ students. The $1,500 award is offered in honor of one of the most celebrated mathematicians of our age, who was also persecuted to the point of suicide for being gay.

There are also non-traditional grant options available for students willing to accept certain post-graduation employment conditions. The Department of Defense SMART Scholarship for Service program is open to U.S. citizens who are willing to commit to work either within the military or with the Department of Defense for a certain period after getting their degree.

The program is also restricted to certain pre-approved universities and fields… however, computer science is one of those fields. In 2017, the program made almost 350 awards of up to $38,000. Those are much better odds than you will find at most dedicated data science scholarship programs.

Data-Focused Organizations

Businesses that make their money in data processing, like Oracle, or professional associations that are heavily affiliated with big data, like the Data Processing Management Association, are among those organizations that are likely to offer scholarships for data science students. These are generally offered through local or regional affiliates, such as this one for $1,000 through the Portland Chapter of the association , so it may take some digging to find one for which you are eligible.

Another variation on this theme are scholarships that were originally created to support students in the fields of math or statistics, but which also can be used for data science programs. One example of this is the Mary G. and Joseph Natrella Scholarship , which was established by the American Statistical Association in 2000 to support students conducting research in math and statistics. Although the original benefactors were intended to be statisticians focused on quality control and productivity work, those applications are now squarely within the province of data science.

These are sometimes narrowly focused on certain student groups that have been historically underrepresented in computer and data science. The Xerox Technical Minority Scholarship , for example, is open to qualified minority students earning a technical degree of bachelor’s level or above. The awards range from $1,000 to $10,000.

Sometimes, these scholarships originate from organizations you might not immediately expect to have a big interest in data science. ExxonMobil, however, offers the Bernard Harris Math and Science Scholarship to eligible minority students. The scholarship awards four $5,000 grants each year, two each for males and females, with the recipients selected personally by Dr. Harris, a retired NASA astronaut.

Colleges and Universities

Data science has not yet gone through the lifecycle that results in wealthy, retired data scientists becoming the benefactors of the next generation through endowments, but some college are putting together scholarship funds aimed at data scientists anyway, such as the Western Nebraska Community College John P. Harris Striving for Excellence in Data Processing Scholarship, which is worth $1,200 to some Nebraskan student each year.

Larger universities trying to jump start their new data science programs might also offer scholarships to help bring students in. The New York University Center for Data Science offers tuition scholarships for a limited number of students in their data science master’s degree program, for instance.

Whether the particular school you select offers its own scholarship or not, every college will have a financial aid office and professional advisers who keep tabs on every available form of assistance. This is an invaluable resource for you both in identifying scholarships you might qualify for, and for making sure that your applications dot all the i’s and cross all the t’s required for success.

Find Info for Your State

• Connecticut
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Non-state-based Data Science Scholarships

Undergraduate or graduate:.

American Statistical Association-Wiley Best Statistical Analysis and Data Mining Paper Award

Benefit: $1500

Eligibility:

• Must submit a data mining/statistical analysis paper
• Winner is chosen by editors

Other details :

• All papers appearing in Statistical Analysis and Data Mining: The ASA Data Science Journal are considered; nominations for the award are not necessary

Lynda Baboyian Memorial Scholarship/Electronic Document Scholarship Foundation

Benefit: $2000

• Must be enrolled as an undergraduate or graduate data science major in a U.S. college/university
• Must have a 3.0 GPA
• Application deadline: May 1

Brain Track Computer Science Scholarship

Benefit: $500 to $1000

Eligibility :

• Must be currently enrolled full- or part-time at a US college/university in an undergraduate or graduate computer science degree program
• Must have completed at least one semester
• Must be a U.S. citizen/permanent resident
• Program may be on-campus or online

The Collective Bill Caspare Memorial Fund Diversity Scholarship

Benefit: $10,000

• Must be African American, Asian American, Hispanic American, Native American, multiracial, or LGBTQ
• Must be a full-time junior or senior undergraduate student or full-time graduate student in data science or new media
• Must have a 3.25 GPA
• Must submit three references
• Application deadline: July 14

Charlie Corr Memorial Scholarship/InfoTrends/Electronic Document Scholarship Foundation

• Must be a full-time college student at an accredited university anywhere in the world majoring in data science/computer science field
• Must submit professional recommendations

Data Science Bootcamp Scholarship/METIS

Benefit: $3000

• Must be a female, underrepresented minority group member, member of LGBTQ community, or veteran
• Must show interest in data science
• Must commit to 12-week in-person data science training program in a major city in U.S. (usually San Francisco or NYC)

Other details:

• Application deadlines: Feb 12 for spring session, May 8 for summer session

Data Science Dojo Nonprofit Fellowship

Benefit: funding for travel expenses up to $1000 for the five days of data science training

• Must be an employee of a nonprofit organization
• Must commit to five days of data science training in a bootcamp in the U.S.
• Preference given to those with data science experience/education
• Preference given to those with community service experience
• Submit application one month prior to bootcamp you wish to attend

Data Science Retreat

Benefit: full scholarship for three- month, 600-hour Data Science Retreat program

• You must be female
• You must show interest in data science
• You must be willing to travel to location for training (this year is in Berlin)
• You must agree to commit to 12 months of working full-time as a mentor or trainer after the program is complete

Galvanize Foundation Scholarships

Benefit: varies

• Must be a member of an underrepresented population in technology (includes women, LGBTQ, underrepresented groups in tech, active reserves members, active members of National Guard)
• Must demonstrate financial need
• Must be applying to/enrolled in a Galvanize campus program in Austin, Boulder, Denver, NYC, Phoenix, San Francisco or Seattle
• Preference given to applicants with diverse life experience and educational backgrounds

Google Anita Borg Memorial Scholarship

Benefit: $10,000 and the chance to attend Google Scholars Retreat in Mountain View, CA

• Must be female
• Must be a full-time undergraduate or graduate student in the U.S. or Canada studying computer science or a related field (includes data science)
• Must have a strong academic record
• Must have leadership skills
• Application deadline: Dec 1

INFORMS/SAS/Analytics Society Data Analytics Scholarship

Benefit: up to $3000

• Must be at least 18 years old
• Must be an undergraduate or graduate full-time student in data analytics/data science at an accredited university
• Application deadline: Feb 17

National Security Agency Mathematics and Computer Science Student Scholarship

Benefit: $500

• Must be an undergraduate or graduate computer science student
• Must be a U.S. citizen
• Application deadline: Dec 31

rSQUAREedge/Women in Machine Learning and Data Science Scholarship

Benefit: full tuition for the company’s 12-week program

• Must be a female
• Must be planning to enroll in the rSQUAREedge 12-week Certified Data Analytics Practitioner program

Sarder Scholarship/NetCom Learning

Benefit: $2500 towards NetCom classes

• Must have a high school diploma/GED from a U.S. school
• Must have interest in data science
• Rolling applications accepted, deadline is the 15 th of every month

Strong Analytics Data Science Scholarship

Benefit: $1000

• Must be a college/university student in the U.S. or Canada
• Must submit a data science project that is publicly hosted
• Project must use open-access, publicly available data
• Submission must include source code and data necessary to reproduce analysis
• Submission may be made individually or by students as a team
• Submission deadline: June 1

Wells Fargo Campus Analytics Challenge

Benefit: $1000-$2000, trip to San Francisco, travel expenses

• Must be an undergraduate or graduate student in the U.S. (at an on-campus or online school)
• Must be 18 or older
• Must be majoring in data science or analytics
• Must submit project and documentation
• Must not be related to a Wells Fargo employee
• Must have a U.S. tax identification number
• Application deadline: Oct 15

Xerox Technical Minority Scholarship

Benefit: between $1000 and $10000

• Must be a full-time undergraduate or graduate student enrolled in a U.S. college/university in a technical science
• Must be black, Asian, Pacific Islander, Native American, Alaskan or Hispanic
• Application deadline: Sept 30

UNDERGRADUATE:

Acxiom Corporation Diversity Scholarship

Benefit: $5000

• Must be a full-time student majoring in data science or a related area
• Must be at least a junior
• Must belong to a historically underrepresented group
• Must agree to an internship at Acxiom offices

Eli Lilly Scholarship/BDPA Education and Technology Foundation

Benefit: $2500

• Must be a graduating high school senior or currently enrolled undergraduate major in data science/information technology field
• Must be African-American
• Must be a member of BDPA
• Must demonstrate leadership abilities in community service
• Must submit two letters of recommendation
• Must submit essay
• Application deadline: July 7

Johnson & Johnson BDPA High School Scholarship

Benefit: $1000 to $2500

• Must be a graduating high school student
• Must be accepted into a U.S. college/university full-time
• Must be majoring in data science
• Must demonstrate community involvement
• Must demonstrate good citizenship
• Must provide two reference letters
• Application deadline: Aug 31

Monsanto BDPA Scholarship

• Must be a BDPA member
• Must be enrolled in an undergraduate information tech program in a U.S. college/university
• Must have at least one year of study left
• Must not be related to any Monsanto employee
• Must submit letter of recommendation
• Application deadline: June 15

Remote DBA Experts to Students Scholarship

• Must be a graduating high school senior or currently enrolled undergraduate at a U.S. college/university
• Must be interested in pursuing a career in data science
• Must have a 2.8 GPA
• Application deadline: March 15

Stan Yellott/Rocky Mountain Oracle Users Group Scholarship

Benefit: $1000 to $4000

• Must be enrolled as a computer science/information technology major at a college/university in the U.S.
• Must have a 2.5 GPA
• Must submit faculty recommendation letter
• Application deadline: Sept 15 for fall, Dec 15 for winter, March 15 for spring, June 15 for summer

UNCF/Alliance Data Scholarship and Internship Program

Benefit: up to $5000, summer internship with stipend, professional career coaching

• Must be an under-represented minority undergraduate student in data science at a U.S. college/university
• Preference is given to students at private or public historically black colleges and universities
• Must be at least a sophomore or junior

VIP Women in Technology Scholarship

• Must be accepted into/enrolled in a two- or four-year college/university in the U.S.
• Must plan a career in data science
• Must demonstrate community service
• Application deadline: April 1

Women in Technology Scholarship/Rocky Mountain Oracle Users Group

Benefit: up to $1000

ACM SIGHPC/INTEL Computational & Data Science Fellowship

Benefit: $15,000/year stipend for up to five years

• Must be accepted into/enrolled in a graduate computational/data science program in any country
• Must have completed less than half of the program of study
• Must be a woman and/or a member of a racial or ethnic minority in the country in which you are studying
• Application deadline: April 30

Avangrid Foundation Scholarships

• Must be a post-graduate student pursuing research in data science

Department of Energy Computational Science Graduate Fellowship

Benefit: up to full tuition

• Must be an undergraduate senior, applicant with a bachelor’s degree not enrolled in graduate school, or first- year MS or PhD student
• Must agree to conduct research in areas of interest to the DOE full-time in the summer and part-time during school year
• Must maintain academic process and progress toward completing program of study

eit Digital Master School Scholarship

Benefit: partial tuition fee waiver for eit Digital Master in Data Science program; other fees are covered fully

• Must be applying to eit Digital Master School Master in Data Science program
• Must be a non-EU student
• Must apply between Nov 15 and Feb 1 if non-EU student

Insight Data Science Fellows Program

Benefit: full tuition for seven weeks of post-doctoral data science training and interviews at top companies following completion of program

• You must be a postdoctoral researcher looking to transition to a career in industry
• You must commit to seven weeks of full-time project-based training in Boston, San Francisco, New York City, Boston, Seattle, or other selected U.S. cities

Alabama Data Science Scholarships

GEM Fellowship/University of Alabama at Huntsville

Benefit: full tuition

• Must be a student at UAH Graduate School pursuing a STEM degree
• Must be a member of an underrepresented population
• Must commit to an internship

Graduate Student Fellowship/University of Alabama at Huntsville

• Must be a graduate student at UAH (MSMS-BA degree applies)
• Must have excellent GMAT/GRE scores
• Must show academic success
• Applicants to graduate school at UAH are automatically considered for a graduate fellowship

Rajani Ranade Endowed Scholarship for Academic Excellence- University of South Alabama

• Must be a graduate computer science/data science student at University of South Alabama
• Must have a 3.0 GPA in undergrad courses
• Must have a letter of reference from a computer science faculty member

University of South Alabama Endowed Scholarship – Computer Science

• Must be a graduate student in computer science/data science at University of South Alabama
• Must demonstrate high academic achievement

Alaska Data Science Scholarships

There are no data science scholarships available in Alaska as of January 2018.

Arizona Data Science Scholarships

AFCEA Educational Fund/Arizona State University

• Must be an undergraduate or graduate student in a technical field in the College of Engineering at ASU

Rod Key Memorial Scholarship/EDSF/Arizona State University

• Must be a full-time undergraduate student in data science at Arizona State University
• Must be planning to pursue a career in document management/graphic communications

Diversity and Inclusion Scholarship/Arizona State University

• Must be a newly admitted MS in Business Analytics student at ASU
• Must be an underrepresented minority

Double Devil Scholarship/Arizona State University

• Must hold an ASU undergraduate degree and be applying to the MS in Business Analytics program at the WP Carey Graduate School of Business at ASU
• Must share why you decided to pursue graduate degree at ASU

Empowering Women in Business Scholarship/Arizona State University

• Must have contributed to the empowerment of women in business

Innovation and Entrepreneurship Scholarship/Arizona State University

• Must be interested in entrepreneurship/innovation
• Must share your more informative success or failure related to entrepreneurship

W.P. Carey Community Impact Scholarship/Arizona State University

• Must be a MS in Business Analytics student at ASU
• Must have demonstrated leadership excellence in the public sector or with non-profit organizations
• Must have impacted community positively

W.P. Carey-on Scholarship/Arizona State University

• Must be a newly admitted MS in Business Analytics student at the WP Carey Graduate School of Business at ASU
• Must have earned undergraduate degree at WP Carey School of Business at ASU
• Must share how returning to ASU will add value to your peers and the ASU community

W.P. Carey U.S. Military and Veterans Scholarship/Arizona State University

• Must be admitted to the MS in Business Analytics program at ASU
• Must have military experience (active duty service member or veteran)
• Must share how your commitment or leadership has been demonstrated on an issue affecting U.S. military community

Arkansas Data Science Scholarships

Graduate Assistantship/University of Arkansas

Benefit: varies, at least $1000/month stipend and tuition assistance at in-state rates

• Must be a MS in Statistics and Analytics student at University of Arkansas
• Must have a good academic record
• Must have a 2.85 GPA
• Must agree to work in exchange for tuition assistance/stipend

Master of Science in Information Quality Graduate Assistantship/University of Arkansas Little Rock

• Must be an MS or PhD student in Information Quality at UA Little Rock

California Data Science Scholarships

CSUF University Extended Education Scholarship

Benefit: up to $400

• Must be a student in CSUF’s online certificate program in data science/analytics

IEEE Women in Engineering 2U Scholarship/Master of Information and Data Science Program at UC Berkeley

Benefit: up to $7500 for tuition for the length of the program

• Must be a woman
• Must be a current member of IEEE Women in Engineering and have been a member for 12 months of more
• Must be applying to/enrolled in Master of Information and Data Science Program at Berkeley

Fletcher Jones Information Science Scholarship/Claremont Graduate University

• Must be a student in the School of Information Systems and Technology at Claremont Graduate University

Kay Center for e-Health Research Fellowship/Claremont Graduate University

• Must be an incoming PhD student in the School of Information Systems and Technology at Claremont Graduate University
• Must have an academic interest or professional experience in e-Health

Jack Larson Data for Good Fellowship/University of California Berkeley

Benefit: $8500

• Must be a Master of Information and Data Science student at UC Berkeley
• Must wish to use data science to improve life and benefit society

Ming Qu and Ying Wu Memorial Scholarship/University of Southern California Viterbi School of Engineering

• Must be a master’s student in Viterbi School of Engineering, USC
• Must be from mainland China and be a Chinese citizen
• Must have a 3.8 GPA

Sloan Scholar Fellowship/UC San Diego

• Must be a US citizen/permanent resident
• Must be admitted into a PhD program at Jacobs School of Engineering at UC San Diego
• Must submit short answer essay
• Must demonstrate strong academic achievement

University of California Berkeley School of Information Immersion Fellowship

Benefit: covers the $500 immersion fee charged to MS of Information and Data Science students at Berkeley

• Must be a MS of Information and Data Science Student at Berkeley

University of San Francisco MSDS Scholarships

Benefit: $2000-$10,000

• Must be accepted into the Master of Science in Data Science program at University of San Francisco
• Must demonstrate academic excellence
• Applicants to the MSDS program are automatically considered for scholarships

University of Southern California Viterbi School of Engineering Dean’s Scholarship

Benefit: $5000-$20,000

• Must be a full-time MSCS in Data Science student at Viterbi School of Engineering, USC

Xinran Ji Memorial Scholarship/University of Southern California Viterbi School of Engineering

• Preference given to students from China, Taiwan, Hong Kong, and Macau

Colorado Data Science Scholarships

American Sentinel University Expertise in IT Scholarship

Benefit: varies, reduced tuition rate

• Must be a newly enrolled graduate student in the MS in Business Intelligence and Analytics program at American Sentinel University
• Must have either five years of IT work experience or hold an IT industry certification

Computer Science Assistantship/University of Colorado Boulder

Benefit: stipend and tuition waiver

• Must be a full-time graduate computer science student at UC Boulder
• Must commit to a research or teaching assistantship in exchange for financial aid

Graduate Assistance in Areas of National Need Big Data Science and Engineering Award/University of Colorado Denver/U.S. Department of Education

Benefit: tuition, fees and up to $34,000 stipend

• Must be a doctoral student in data science and engineering at University of Colorado Denver
• Preference given to applicants from traditionally underrepresented groups

Elmer E. Remmenga Scholarship in Applied Statistics/Colorado State University-Fort Collins

• Must be a student in the MS in Applied Statistics program at Colorado State University-Fort Collins

Western Regional Graduate Program/MS in Business Analytics-University of Colorado Denver

Benefit: reduced, in-state tuition for out-of-state, nonresident applicants for full graduate degree program

• Must be applying to the MS in Business Analytics program (online or hybrid) at University of Colorado Denver
• Must be from one of the following participating states: Alaska, Arizona, California, Hawaii, Idaho, Montana, Nevada, New Mexico, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming, Commonwealth of Northern Marinara Islands)

Connecticut Data Science Scholarships

Galvanize Scholarship/University of New Haven

• Must be applying to the MS Data Science program through Galvanize/University of New Haven
• Amount of scholarship is based on merit

Daniel LaRose Scholarship for Data Mining Excellence/Central Connecticut State University

• Must be a student at CCSU in the MS in Data Mining program
• Must have completed at least 12 hours in the program
• Must have a 3.5 GPA
• Must have assisted other students either in a Graduate Assistant or tutoring/mentoring capacity

Mathematical Sciences Graduate Scholarship/Central Connecticut State University

Benefit: up to $200/graduate credit

• Must be a graduate student in Mathematical Sciences at CCSU (MS in Data Mining and Grad Cert in Data Mining both qualify)
• Application deadline: March 31

University of Connecticut Master of Science in Business Analytics and Project Management Scholarships

• Must be a currently enrolled MSBAPM student at University of Connecticut
• Applications are not necessary- all MSBAPM students will be considered based on merit

Delaware Data Science Scholarships

Title III & Teaching Assistants Program/ REEMS/Delaware State University

Benefit: tuition assistance in exchange for teaching duties

• Must be a junior or senior undergraduate student in a STEM area (the BS Mathematics with Data Analytics program at DSU qualifies)
• Must agree to assist teaching undergraduate STEM classes

District of Columbia Data Science Scholarships

George Washington University Graduate Fellowships & Assistantships

• Must be a MS in Business Analytics student at George Washington University

IEEE Women in Engineering 2U Scholarship/MS in Analytics at American University Program

• Must be applying to/enrolled in online MS in Analytics program at American University

McCourt School Merit-Based Scholarships/Georgetown University

• Must be a full -time Masters in Data Science Public Policy major at Georgetown University
• No separate application necessary for scholarship consideration, all students are considered

Florida Data Science Scholarships

Edward Lieblein Memorial Fund Scholarship/Nova Southeastern University

Benefit: $500 – $2000

• Must be enrolled in a graduate program at NSU’s College of Engineering and Computing
• Must be employed by a branch of the US Federal Government
• Must submit letter of recommendation from your employer and one from an academic professional

Emerging Technology Professional Scholarship/Nova Southeastern University

• Must be enrolled in a master’s program at NSU’s College of Engineering and Computing
• Must have completed at least six credit hours

Graduate Assistantship/University of Central Florida

• Must be a full-time graduate student at UCF (in the MS in Statistical Computing, Data Mining or MS in Data Analytics program)
• Must agree to teaching or research duties in exchange for tuition assistance and stipend

Graduate Fellowship/University of Central Florida

• Must show significant academic merit
• Must have high GRE scores
• Must participate in events for the fellowship community

Professor Laurie Dringus Scholarship/Nova Southeastern University

Benefit: $500-$1000

• Must have completed at least one semester at NSU

Georgia Data Science Scholarships

CarMax Auto Finance Scholars Program – Applied Statistics and Data Analysis-Kennesaw State University

• Must be an undergraduate student at Kennesaw State University with a minor in Applied Statistics and Data Analysis, or a graduate student in the MSAS program
• Must have a 2.8 GPA (undergraduate)

Bergeron Women in Technology Leadership Fund/Georgia State University Robinson College of Business

Benefit: varies, includes mentorship

• Must be an undergraduate junior student in the Robinson College of Business at GSU majoring in computer science or information systems
• Must demonstrate academic achievement via high grade point average
• Must be a female student

Korean-American Business Center Leadership Award/Georgia State University Robinson College of Business

• Must be a full-time undergraduate student at Robinson College of Business at GSU majoring in computer science or information systems
• Must have demonstrated high potential for leadership career in technology
• Application deadline: Jan 12

Baker Family Distinguished Student Award/Georgia State University

• Must be a MS in Analytics student at GSU
• Must be in good academic standing
• Must show academic achievement
• Must be nominated by faculty in Robinson College of Business

Donald V. Jackson Fellowship/College of Computing-Georgia Tech University

• Must be a first-year master’s student in IS at Georgia Tech
• Must demonstrate values of academic excellence and leadership
• Must be nominated by faculty
• Application deadline: Jan 6

Pickett Riggs Scholarship/Georgia State University Benefit: varies

• Must be a MS in Analytics student at Georgia State University
• Must have completed at least 75 credit hours at GSU
• Must have demonstrated leadership abilities

Marshall D. Williamson Fellowship/College of Computing- Georgia Tech University

• Must be a second-year master’s student in IS at Georgia Tech

Christopher Yannapoulos Memorial Scholarship/Georgia State University

• Must be a legal resident of Georgia

Hawaii Data Science Scholarships

Ike Wai Graduate Scholarship/University of Hawaii at Manoa

Benefit: $29,148 salary as a graduate research assistant, plus tuition waiver, for two years (11 months/year)

• Must be a full-time graduate student at UH Manoa pursuing a master or doctoral degree in an Ike Wai (water security) research focus area (in which data science is included)
• Must be working on a research project directly relating to Ike Wai and supervised by an Ike Wai faculty member
• Must submit letter of support from Ike Wai faculty member
• Must submit brief statement
• Application deadline: Feb 1

Information and Computer Sciences Assistantships/University of Hawaii at Manoa

Benefit: full tuition waiver in exchange for working in a research or teaching assistantship capacity for 20 hours/week

• Must be a graduate student in Information & Computer Sciences at UH Manoa
• Must commit to working 20 hours/week
• Must show academic excellence and progress

Idaho Data Science Scholarships

University of Idaho Graduate Assistantship

Benefit: tuition waiver, stipend

• Must be a graduate student at University of Idaho (Graduate Data Analytics Certificate counts)
• Must agree to a research or teaching position in exchange for tuition and stipend

Illinois Data Science Scholarships

Undergraduate or graduate :.

CDM General Scholarship Fund/DePaul University

• Must be a continuing undergraduate or graduate student in the College of Computing and Digital Media at DePaul University (freshmen or first-term students are not eligible)

DePaul Faculty/Staff Scholarship

• Must be full- or part-time undergraduate student in information systems at DePaul University entering junior or senior year, or graduate student in second or final year
• Must demonstrate academic success
• Must demonstrate commitment to service to the community and individuals

Father Ralph Pansza Renaissance Scholarship/DePaul University

• Must be an undergraduate or graduate student in the College of Computing and Digital Media at DePaul University
• Must demonstrate strengths in computing, service to others, and artistic endeavors
• Must submit a portfolio of artistic work

UNDERGRADUATE :

Deutsche Boerse Systems, Inc. Tarik Bicakcic Memorial Scholarship/DePaul University

• Must be an undergraduate senior in information systems at DePaul University

FIRST Scholarship/DePaul University

• Must be a senior in high school
• Must have participated in at least one full season of the FIRST Robotics Competition team or FIRST Tech Challenge team
• Must be admitted to DePaul University’s College of Computing and Digital Media full-time
• Must have a combined SAT score of 1100
• Must have a GPA of 3.2
• Application deadline: March 1

Kalt Endowed Scholarship/DePaul University

• Must be an undergraduate student in DePaul University’s College of Computing and Digital Media

Milliman Opportunity Scholarship

Benefit: up to $5000

• Must be an Illinois resident
• Must be a minority (Black, Latino, American Indian, Native Hawaiian, or Pacific Islander)
• Must be admitted into an undergraduate data science/data analytics program in the U.S.
• Application deadline: June 1

Professor Warren Krueger and Ronnveig Ernst Scholarship/DePaul University

• Must be an undergraduate student with at least sophomore standing in DePaul University’s College of Computing and Digital Media
• Must have demonstrated success in computer science

Dr. Curtis J. and Mrs. Gina Crawford Endowed Scholarship/DePaul University

• Must be a graduate student in information systems at DePaul University
• Must have demonstrated academic success
• Preference given to African-American students

Elmhurst College Graduate Fellowship

• Must be a MS in Data Science student at Elmhurst College

Master of Data Science Partial Tuition Scholarship/Illinois Institute of Technology

• Must be a student in the Master of Data Science program at Illinois Institute of Technology

Master of Science in Analytics Fellowship/Northwestern University

Benefit: n/a

Eligibility : n/a

Dr. Steven C. Rubinow Endowed Scholarship/DePaul University

• Must be a graduate student in the College of Computing and Digital Media at DePaul University

Starr Research Fellowship and Fieldhouse Research Fellowship/Illinois Institute of Technology

Benefit: up to $15,000/year to be used for tuition and stipend

• Must be a graduate student at Illinois Institute of Technology
• Must be pursuing research under faculty member
• Must be nominated by a faculty member

Indiana Data Science Scholarships

John R. Gibbs Undergraduate Scholarship/Graduate Fellowship for Innovation / Indiana University Purdue University Indianapolis

Benefit: $1000/year

• Must be a full-time graduate or undergraduate student in the School of Informatics and Computing at Indiana University Purdue University Indianapolis
• Preference given to those who have demonstrated innovation and entrepreneurship

Purdue University College of Science Undergraduate Scholarship

• Must be an incoming freshman majoring in data/computer science at Purdue University
• Must demonstrate academic achievement
• Must demonstrate research experience
• Students who are admitted to Purdue University College of Science and complete the College of Science Merit Scholarship Application are automatically considered for all departmental merit scholarships

Purdue University Continuing Computer Science Student Scholarship

• Must be a continuing undergraduate computer/data science major at Purdue University
• Must submit resume
• Application deadline: Nov 13

Lilly Endowment Scholarship/Saint Mary’s College

Benefit: $5000 ($1000/term)

• Must be a MS in Data Science student at St. Mary’s College
• Must be a resident of Indiana or recent graduate of an undergraduate institution in Indiana
• Must show academic merit

Master of Science in Business Analytics and Information Management Scholarship/Purdue University

• Must be admitted to the MS in BAIM program at Purdue
• Must have academic merit
• All applicants to the MS in BAIM program are automatically considered for scholarship- no separate application is necessary

Iowa Data Science Scholarships

HIMSS Minnesota Undergraduate or Graduate Health IT Scholarship

• Must be a Minnesota resident or a resident of a bordering state (Wisconsin, Iowa, North Dakota or South Dakota)
• Must be enrolled in a Minnesota health IT program (includes data science)
• Need not be a HIMSS member to apply

Kingland Data Analytics Scholarships/Iowa State University

• Must be a data analytics student (undergraduate or graduate) at Iowa State University

MSBA Fellowships/University of Notre Dame

• Must be a MSBA student at University of Notre Dame
• Must have outstanding academic record
• Must have professional skills

Kansas Data Science Scholarships

There are no data science scholarships available in Kansas as of January 2018.

Kentucky Data Science Scholarships

Christian Michael Thomas Memorial Scholarship/Northern Kentucky University

• Must be accepted for admission in the College of Informatics at Northern Kentucky University
• Must have a minimum ACT score of 23
• Must display financial need

CINSAM Scholarship/Northern Kentucky University

Benefit: $3000 towards tuition, books, housing

• Must be an incoming freshman data science major at Northern Kentucky University
• Must participate in the STEM Scholars Program
• Must maintain a 3.0 GPA

Dean’s Scholarship/Northern Kentucky University

Benefit: full in-state tuition for one year

• Must have a declared major in the College of Informatics at Northern Kentucky University
• Must have completed 60 credit hours (at least 30 at NKU)
• Must be enrolled full0time
• Must not hold any other full tuition scholarships

Eva G. Farris Informatics Scholarship/Northern Kentucky University

• Must be admitted to NKU as a full-time freshman with a major or pre-major in the College of Informatics
• Must have an ACT composite score of 23 or higher
• Must rank in the top 25% of your high school graduating class

William H. Greaves Scholarship/Northern Kentucky University

Benefit: full in-state tuition and/or books

• Must be an incoming freshman at NKU with a STEM major (includes Data Science)
• Must have an ACT composite score of 25 or higher
• Application deadline: Feb 15

Informatics Renaissance Travel Award/Northern Kentucky University

• Must be accepted for admission at NKU and have enrolled in a study abroad program
• Must have enough credit hours equivalent to a second-year undergraduate degree student
• Must be a College of Informatics major
• Must have no prior international travel experience
• Preference given to students who exhibit promise
• Preference given to students planning to travel to non-English speaking or developing countries

L.I.F.E. Foundation Fellowship/Northern Kentucky University

Benefit: up to $10,000 per year in tuition/fees plus $10,000 research stipend

• Must be accepted for admission in computer or data science at NKU
• Must have a high school GPA of 3.75
• Must have composite ACT score of 29
• Must declare intent to pursue PhD in a computational biomedical science field

Mazak Scholarship in the College of Informatics/Northern Kentucky University

• Must be accepted for admission in the College of Informatics at NKU
• Must have a 23 composite ACT score

Sehnert-Pugh Scholarship/Northern Kentucky University

• Must be enrolled as a Department of Computer Sciences major at NKU

Louisiana Data Science Scholarships

MS in Analytics Tuition Awards/Louisiana State University

Benefit: full tuition exemption

• Must be an MS in Analytics student at Louisiana State University
• Must be from an under-represented group (preference given to African Americans and Latin Americans)
• Must be nominated by the department

Maine Data Science Scholarships

Robert W. Berry Memorial Scholarship/University of Southern Maine

• Must be enrolled in at least six credits at USM
• Must be pursuing an interest in technology and business

Michael E. Dubyak Scholarship/University of Southern Maine

Benefit: full tuition for one year

• Must be a graduate or undergraduate student at University of Southern Maine pursuing a career in a STEM field (includes data science)
• Application deadline: Nov 1

STEM Scholarship/University of Southern Maine

• Must be enrolled in a STEM program at USM

WEX Scholarship/University of Southern Maine

• Must be a Maine resident

Maryland Data Science Scholarships

Lawrence B. Heilprin Memorial Fund/University of Maryland

• Must be a College of Information Studies student at University of Maryland
• Must write a paper that contributes to the field of information science in the College of Information Studies

Loyola University Maryland/Master of Data Science Scholarships

• Must be a Master’s of Data Science student at Loyola University Maryland
• Award is based upon previous academic excellence
• All applicants to the Master’s of Data Science program are automatically considered for this award- separate application not necessary

MIM Alumni Scholarship/University of Maryland

Benefit: up to $2000

• Must be enrolled in MIM program at University of Maryland
• Must show financial need

Massachusetts Data Science Scholarships

Brandeis University Graduate School of Arts & Sciences Master’s Scholarships & Fellowships

• Must be a student in a master’s program at Brandeis University
• Must maintain a superior level of academic progress
• All students who apply to a master’s program in arts and sciences are automatically considered for scholarships with no extra application necessary

Double Husky Scholarship/Northeastern University

Benefit: discount of up to 25% on graduate program

• Must hold an undergraduate degree from Northeastern University
• Must be enrolled in the MS Business Analytics program at Northeastern University

GAANN Fellowship/Worcester Polytechnic Institute

Benefit: annual stipend up to $34,000; full tuition and fees; health insurance

• Must be applying to PhD in Data Science program at WPI
• Must be studying data-driven computing research in Areas of National Need in collaboration with WPI faculty
• Renewable for up to three years

Master of Business Analytics Fellowships/Massachusetts Institute of Technology

• Must be a Master of Business Analytics student at MIT
• Extremely competitive, few are awarded

Worcester Polytechnic Institute Graduate Student Assistantship

Benefit: varies, includes stipend but not tuition or health benefits

• Must be enrolled in graduate data science program at Worcester Polytechnic Institute
• Must demonstrate and maintain superior academic performance
• Must demonstrate need

Michigan Data Science Scholarships

Graduate Assistantship/Eastern Michigan University

Benefit: tuition paid up to 18 credit hours/year

• Must have a bachelor’s degree
• Must be a graduate student at EMU

K.G. Janardan Scholarship/Eastern Michigan University

• Must be a MA in Applied Statistics student at EMU

Mathematics Department Graduate Assistantships/Central Michigan University

Benefit: $13,250 stipend for master’s students, plus tuition waiver for 20 credit hours

• Must be a MS in Applied Statistics and Analytics student at CMU
• Must commit to teaching in mathematics department

Michigan State University Industry Fellowship

Benefit: up to $1500

• Must be enrolled in the MS in Business Analytics program at MSU
• Must be approved by program director

University of Michigan at Dearborn College of Business Graduate Admission Scholarship

Benefit: full cost of in0state tuition for the fifth, tenth and fifteenth 3-credit course

• Must be applying to the MS in Business Analytics program at University of Michigan Dearborn
• Must have high GMAT/GRE scores
• Must have high GPA
• Must have work experience in the field
• Must agree to complete at least five courses per year
• All applicants to the program are automatically considered for this scholarship- no separate application is required

University of Michigan at Dearborn College of Business Non-Resident Graduate Tuition Scholarship

Benefit: covers 80% of the difference between the resident and non-resident graduate tuition rate

• Must be applying to MS in Business Analytics program at University of Michigan Dearborn
• Must be enrolled in at least six credits next term
• Must have a 3.0 GPA and maintain a 3.3 GPA to keep scholarship
• Must not be eligible to receive financial aid from employer
• Must have a 550 GMAT score/equivalent GRE score
• Application deadlines: Nov 15, March 15, July 15

Minnesota Data Science Scholarships

MinneAnalytics Data Science Scholarship

Benefit: $1000-$5000

• Must be nominated by a university
• Must be an undergraduate or graduate data science student at a Minnesota university
• Must plan to pursue an analytics career with community engagement

Master of Science in Business Analytics Program/Carlson School of Management University of Minnesota

Benefit: $20,000

• Must be U.S. resident or U.S. citizen
• Must be full-time student in the MS in Business Analytics Program at Carlson School of Management University of Minnesota
• All applicants to the program are considered for this scholarship- no separate application is necessary

Mississippi Data Science Scholarships

University of Mississippi Medical Center PhD Dean’s Scholarship

Benefit: full tuition for PhD in Data Science program

• Must apply to and be accepted to PhD in Data Science program at University of Mississippi Medical Center
• Must display outstanding academic achievement

University of Mississippi Medical Center PhD in Data Science Stipend

Benefit: varies, currently $24,150 per year for up to five years

• Must be a PhD in Data Science student at the University of Mississippi Medical Center
• Must demonstrate academic excellence and success

Missouri Data Science Scholarships

Eugene Jewett Memorial Scholarship/Grantham University

Benefit: full tuition (up to $39,471)

• Must be a MS in Business Intelligence major at Grantham University
• Application deadline: Nov 6

Graduate Student Success Scholarship/Saint Louis University School of Professional Studies

• Must be a MS in Applied Analytics student at Saint Louis University School of Professional Studies
• Must have completed six credit hours
• Application deadline: July 28, Dec 20

Montana Data Science Scholarships

Montana STEM Scholarship Program

• Must graduate from a Montana high school
• Must be a Montana resident
• Must be accepted into a STEM program at a participating Montana college/university for a certificate, 2-year degree or 4-year degree program ( see list for approved STEM majors)
• Must have a 3.25 high school GPA

Nebraska Data Science Scholarships

James Earl Scholarship -University of Nebraska Omaha

• Must be a BS in Mathematics/concentration in Data Science major at UNO
• Must have outstanding performance in mathematics course
• Must participate in departmental activities
• You do not apply for this scholarship, you are selected based on merit

Hitchcock Foundation Scholarship-University of Nebraska Omaha

• Must be a full-time student in the BS in Mathematics/concentration in Data Science program at UNO

Heider College of Business Creighton University Graduate Tuition Waiver or Graduate Assistantship

Benefit: up to full tuition waiver

• Must be a full- or part-time MS in Business Information Analytics or MS in Business Intelligence and Analytics student at Creighton University
• Must agree to work in exchange for tuition money if chosen for assistantship

University of Nebraska Omaha Graduate Research Assistantships

Benefit: tuition waiver plus $1000/month

• Must be a graduate MS in Mathematics/concentration in Data Science student at UNO
• Must agree to work as a research assistant in exchange for tuition waiver and stipend

Wu-King Scholarship/University of Nebraska Omaha

• Must be a K-12 teacher

Nevada Data Science Scholarships

University of Nevada-Las Vegas Graduate Assistantship

Benefit: tuition assistance and monthly stipend

• Must be a MS in Data Analytics and Applied Economics major at UNLV
• Must agree to research or teaching duties in exchange for tuition assistance and monthly stipend

University of Nevada-Reno Ph.D. Funding

Benefit: annual stipend of $17,000, tuition waiver and subsidized medical insurance

• Must be admitted to the PhD in Statistics and Data Science program at University of Nevada-Reno
• Must submit GRE scores and three letters of recommendation
• All students accepted into the PhD in Statistics and Data Science program automatically receive this funding

New Hampshire Data Science Scholarships

STEAM Ahead/University of New Hampshire

• Must be a high school graduate from Manchester West or Dover High School
• Must be attending UNH to major in a STEM program (BS in Analytics counts)

New Jersey Data Science Scholarships

Graduate Assistantship/New Jersey City University

Benefit: tuition plus $3500 stipend/year

• Must be a graduate data science student at NJCU
• Must agree to work 18 hours/week in exchange for tuition assistance and stipend

Graduate Assistantship/Stevens Institute of Technology

• Must be a graduate data science/business analytics student at Stevens Institute of Technology
• Must agree to work 20 hours/week in department as graduate assistant in a teaching or research capacity
• Must maintain 3.0 GPA

Graduate Fellowship/Rutgers University

• Must be a Master in Business and Science with concentration in Analytics student at Rutgers University

Rider University Graduate Scholarships

• Must be a graduate business analytics student at Rider University
• All applicants to the graduate program will be automatically considered for scholarship – no separate application is required

New Mexico Data Science Scholarships

Graduate Assistantship/New Mexico State University

• Must be a MS ASTAT student at New Mexico State University
• Must agree to a teaching or research assistantship in exchange for tuition funding

Teaching Assistant/University of New Mexico

• Must be a graduate student in the Department of Mathematics & Statistics at UNM
• Must agree to a teaching assistantship in exchange for tuition funding

New York Data Science Scholarships

Data Science Academy Scholarship/AlleyNYC Founder Scholarship

Benefit: $1000/month and free classes

• Must be an AlleyNYC member

Brain and Cognitive Sciences/Computer Science NRT Fellowship/University of Rochester

Benefit: One-year fellowship including assistantship

• Must be a graduate PhD student in computer science or brain and cognitive sciences at the University of Rochester

Columbia University Data Science Institute Campus Connection Program

Benefit: on-campus, part-time graduate assistantship to help offset cost of tuition

• Must be a graduate student in data science at Columbia University
• Must commit to working a graduate assistantship

Cornell University Merit-Based Graduate Scholarships

• Must be applying to the M. Engineering with concentration in Data Analytics program at Cornell University
• Must demonstrate academic merit
• All applicants to the graduate program are automatically considered for merit-based scholarships- no separate application is required

Graduate Assistantships and Fellowships/Fordham University

• Must be a MS in Data Analytics student at Fordham University
• Must be recommended by faculty

Master of Science in Data Science Scholarships/New York University

Benefit: varies, covers portion of tuition cost for up to two years

• Must be a MS in Data Science student at New York University
• All applicants to the program are automatically considered for the scholarship

National Science Foundation Data-Enabled Science and Engineering Award/University of Rochester

Benefit: Training, career development, networking and internship assistance plus possible financial support

• Must be a graduate data science student at the University of Rochester

Russ Peterson Technology Scholars Program/CUNY School of Professional Studies

• Must be a MS in Data Analytics student at CUNY School of Professional Studies
• Must be within 12 credits of graduation

Stephen M. Rossen Memorial Scholarship/CUNY School of Professional Studies

• Must be enrolled in an online degree program at CUNY SPS
• Must be within 30 credits of completing online degree

Syracuse University Information Management Faculty Engagement Scholarship

Benefit: 30% tuition and 10 hours/week of formal mentorship with an iSchool faculty member

• Must be applying to MS in Information Management/Data Science program at Syracuse University
• Must show academic success/performance
• Applicants to the program are automatically considered for scholarship with no formal application required

Tandon School of Engineering/New York University PhD Funding

• Must be a full-tine PhD in Data Science student at NYU
• All full-time PhD students at Tandon School of Engineering receive some financial support

North Carolina Data Science Scholarships

Belk Scholars Program/UNC Charlotte

Benefit: full in-state tuition for four years

• Must be a high-achieving high school senior interested in earning a bachelor’s and master’s degree in data science/business analytics area at UNC Charlotte in five years
• Must have a strong academic background

Thomas M. Carsey Scholarship in Data Science/RENCI/UNC Chapel Hill

Benefit: paid for 20 hours/week work in data science research

• Must be a graduate student in data science at UNC Chapel Hill
• Must show academic excellence
• Must agree to work on real data project for 20 hours/week (paid)

Fisher Family Fund Fellowship/UNC Charlotte

• Must be pursuing a master’s degree in Data Science and Business Analytics at UNC Charlotte
• Must have a GPA of 3.74-4.00
• Must be a permanent resident of Charlotte, NC

Walker College of Business/Appalachian State University Scholarship

• Must be a MS in Applied Data Analytics student at Walker College of Business, Appalachian State University

Wake Forest University MSBA Endowed Scholarships

• Must be a MS in Business Analytics student at Wake Forest University
• No separate application is necessary to apply for MSBA scholarships – the admissions application acts as the scholarship application

North Dakota Data Science Scholarships

Ohio data science scholarships.

Department of Mathematics and Statistics Assistantship/Bowling Green State University

Benefit: $12,000/year

• Must be a MS in Applied Statistics student at BGSU
• Must agree to serve as a teaching assistant in exchange for stipend
• Women and minorities are encouraged to apply

Graduate Enrichment Fellowship/Ohio State University

Benefit: free tuition, $2000/month stipend, health insurance

• Must be a Master of Applied Statistics student at OSU
• Must have a 3.1 GPA
• Must have a GRE score in the 40 th percentile

Graduate Incentive Award/University of Cincinnati

• Must be a full-time MS in Analytics student at University of Cincinnati
• All full-time applicants to the MS in Analytics program at University of Cincinnati are automatically evaluated for merit scholarship eligibility. No separate application is required.

MS in Analytics Scholarship/Bowling Green State University

• Must be a MS in Analytics student at Bowling Green State University
• All who apply to the MS in Analytics program are automatically considered for this scholarship
• Submit admission application by March 1 for best consideration

MSM Business Analytics Scholarship/Case Western Reserve University

• Must be a MSM Business Analytics student at Case Western Reserve University
• Must show academic and professional achievement
• All applicants to the MSM Business Analytics program are automatically considered for scholarship- no separate application is needed

University Fellowship/Ohio State University

• Must have a 3.6 GPA
• Must have a GRE score in the 75 th percentile

Oklahoma Data Science Scholarships

MIS Scholarships/University of Oklahoma

Benefit: varies, $1000-$5000

• Must be a MIS student at University of Oklahoma

MS in Business Analytics Assistantship/Oklahoma State University

• Must be a MS in Business Analytics student at Oklahoma State University
• Must have a high undergraduate GPA
• Must have professional experience
• Must show outstanding academic performance
• All applicants to the program are considered for assistantship- no separate application is required

Oregon Data Science Scholarships

Portland Chapter Data Processing Management Association Scholarship

• Must be a graduating high school senior planning to major in data science
• Must reside in Oregon or Washington within Columbia, Marion, Yamhill, Washington, Multnomah, Clackamas or Clark Counties
• Application deadline: May 31

Pennsylvania Data Science Scholarships

Bo Miller Excellence in Computer Science Scholarship/Lock Haven University

• Must be an undergraduate computer science major (data science track is eligible) at Lock Haven University

New Economy Technology Scholarship Program

Benefit: $1000-$3000/year

• Must be a Pennsylvania resident
• Must be currently enrolled in a STEM program at a two- or four-year college/university in Pennsylvania
• Must plan to stay and work in Pennsylvania after graduation

Drexel University Graduate Assistant Awards

Benefit: varies, usually includes full-tuition scholarship, stipend and health insurance

• Must be a full-time MS in Business Analytics student at Drexel University
• Must agree to work in a teaching or research capacity in exchange for assistantship
• Application deadline: Jan 1

Fox School of Business/Temple University Tuition Discount to Alumni

Benefit: 5% tuition scholarship for graduates of Temple University’s undergraduate programs

• Must have graduated with an undergraduate degree from Temple University
• Must be enrolled in the Fox School of Business at Temple University’s MS in Business Analytics program

Erivan K. Haub School of Business at St. Joseph’s University Graduate Merit Scholarship

Benefit: varies, usually $2000-$4000/year

• Must be a full- or part-time MS in Business Intelligence and Analytics student at St. Joseph’s University

Mercyhurst University Graduate Assistantships

Benefit: partial waiver of tuition, stipend

• Must be a MS Data Science student at Mercyhurst University
• Must have a current resume on file
• Must not be receiving any other institutional aid
• Must not have another job
• Must agree to work in exchange for tuition reduction and stipend

Warren V. Musser Fellowship in Entrepreneurial Studies/Penn State Great Valley

Benefit: up to $25,000 and mentorship

• Must be a full-time graduate data analytics student at Penn State Great Valley
• Must wish to start your own company
• Must have demonstrated academic excellence
• Must have demonstrated innovative thinking
• Must have entrepreneurial experience and business savviness
• Must have three years of work experience
• Must not be employed during the term of the program

Villanova University School of Business Merit Scholarships

• Must be a MS in Analytics student at Villanova School of Business

Rhode Island Data Science Scholarships

Kanellakis Fellowship/Brown University

Benefit: full tuition, stipend and health insurance

• Must be a PhD in Big Data student at Brown University
• Preference given to Greek students

South Carolina Data Science Scholarships

Undergradaute:.

South Carolina Alliance for Minority Participation/National Science Foundation/College of Charleston

• Must be an undergraduate data science major at the College of Charleston (among other select majors)
• Must be a minority student from an underrepresented population (African American, Hispanic, Native American, Pacific Islander)

South Dakota Data Science Scholarships

Graduate Assistantship/South Dakota State University

Benefit: reduced tuition and stipend

• Must be a PhD in Computational Science and Statistics student at South Dakota State University
• Must complete 20 hours/week of teaching or research duties in exchange for reduced tuition and a monthly stipend

Master of Science in Analytics Assistantship/Dakota State University

• Must be a MS in Analytics student at Dakota State University
• Must agree to be a teaching, research or administrative assistant in exchange for reduced tuition and a monthly stipend
• Must not be employed full-time outside of the university

Western Regional Graduate Program/MBA with Business Analytics Specialization-University of South Dakota

• Must be applying to the MBA with Business Analytics specialization program (online or hybrid) at University of South Dakota
• Must be from one of the following participating states: Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, North Dakota, Oregon, Utah, Washington, Wyoming, Commonwealth of Northern Marinara Islands)

Tennessee Data Science Scholarships

College of Business Scholarships/Tennessee Tech University

• Must be a Decision Sciences/Business Analytics & Intelligence undergraduate major at TTU
• Must have a 3.5 GPA (community college) or 3.2 GPA (TTU)
• Must have demonstrated leadership ability

Haslam College of Business Scholarship for Entering Freshmen/University of Tennessee Knoxville

• Must be accepted into the Haslam College of Business at UTK as a Business Analytics major
• Must be registered full-time
• Must maintain a 2.75 GPA

Haslam College of Business Continuing Student Scholarship/University of Tennessee Knoxville

• Must be enrolled in the Haslam College of Business at UTK as a Business Analytics major

Scholarship for Science, Technology, Engineering and Mathematics/National Science Foundation/East Tennessee State University

Benefit: three years of support for up to 10 students/year, weekly seminars

• Must be an undergraduate major in a big data/data science area (Mathematics with concentration in Computational/Applied Mathematics)
• Must be a freshman or sophomore
• Must have a 3.3 GPA
• Must be a U.S. citizen/national
• Preference given to females and underrepresented minority groups

UT-Battelle Scholarship/University of Tennessee Knoxville

Benefit: $5000/year, renewable for four years

• Must be a child of a UT-Battelle employee
• Must be a Tennessee resident
• Must have a 3.75 high school GPA
• Must have a high school diploma
• Must be a full-time undergraduate student accepted into/enrolled in UT-Knoxville in a STEM area
• Must agree to one practicum term at Oak Ridge National Laboratory
• Must submit academic references

Texas Data Science Scholarships

ITDS Department Scholarships/College of Business- University of North Texas

Benefit : varies

• Must be an undergraduate or graduate student in ITDS at University of North Texas
• Must have at least a semester left before graduation
• Must provide a thank you letter to the scholarship donor

H Stevenson IS Quantitative End Scholarship/Texas Tech University

• Must be an undergraduate major in the Information Systems and Quantitative Sciences Department at Texas Tech University
• Must be a native-born Texas living within 100 miles of Lubbock
• Application deadline: April 3

Jill and L. Austin ISQS Graduate End Int/Texas Tech University

• Must be a MS in Data Science major at Texas Tech University

College of Business Scholarships/University of Texas at San Antonio

• Must be a graduate student in the COB at UT San Antonio (i.e., MS in Data Analytics or MS in Applied Statistics)
• Must demonstrate excellent academic performance

Cox School of Business Merit Scholarships/Southern Methodist University

• Must be a MS in Business Analytics student at SMU

Energy Industry Graduate Fellowships/Rice University

Benefit: $7500

• Must be a graduate student at Rice University in high performance computing, computational science and engineering, or information technology
• Preference given to students in data analytics
• Must not be in your last year of study
• Must be willing to visit companies funding fellowships (BP, ExxonMobil, Schulmberger) and perhaps complete a paid internship
• Must prepare and present a poster during the annual Oil and Gas Workshop

Ken Kennedy-Cray Fellowship/Rice University

• Must be a graduate information technology/computer science student at Rice University
• Special consideration given to applicants involved in research in high performance computing

Andrew Ladd Memorial Excellence Fund in Computer Science Fellowship/Rice University

• Must be a graduate computer science student at Rice University
• Preference given to students who have already started thesis research

Naveen Jindal School of Management Merit-Based Scholarships/University of Texas Dallas

• Must be a graduate student in the Jindal School of Management at UT Dallas
• Must be a U.S. citizen, permanent resident or international student
• Complete one online graduate scholarship application to be considered for all scholarships

STEM Tuition Fellowship/University of Texas Arlington

Benefit: 75% tuition coverage and monthly stipend

• Must be enrolled full-time in a doctoral STEM program at UT Arlington
• Must agree to work a 50% assistantship
• Must maintain academic progress

University of Texas at Austin Graduate Merit-Based Scholarships

• Must be a MS in Business Analytics applicant/student at UT Austin
• All graduate applications are automatically evaluated for merit scholarships- no separate application is required

UTSA Presidential Graduate Scholarship/COB-University of Texas at San Antonio

• Must be a full-time graduate student in the COB at UT San Antonio (i.e., MS in Data Analytics or MS in Applied Statistics)

Utah Data Science Scholarships

Eccles School Undergraduate General Scholarship/University of Utah

• Must be a full-time undergraduate student in the Eccles School of Business at the University of Utah
• Must have a 3.2 GPA

Eccles School Women’s Initiative Scholarship/University of Utah

• Must be a female undergraduate student in the Eccles School of Business at the University of Utah
• Must not be a prior recipient of the scholarship
• Application deadline: January 11

Graduate Scholarships- MSBA – University of Utah

Benefit: $2500-$9500 Eligibility:

• Must be a MSBA student at University of Utah
• Must have a 550 GMAT score or higher

Vermont Data Science Scholarships

CA Technologies Fellowship/University of Vermont /Vermont Complex Systems

• Must be a MS in Complex Systems and Data Science student at University of Vermont
• Must demonstrate high levels of academic success and potential

CA Technologies Fellowship for Women/University of Vermont

Benefit : full tuition

Virginia Data Science Scholarships

Dr. Lawrence Cranberg Endowed Scholarship in Science & Engineering/George Mason University

Benefit: varies, renewable

• Must be a MS in Data Analytics Engineering student at George Mason University
• May be an in-state or out-of-state student
• Must be selected by a committee appointed by the dean of the School of Engineering

Merit Scholarship for MSBA Program/William & Mary University

• Must be applying for admission to the MS in Business Analytics program at William & Mary University
• Must demonstrate academic success and personal achievement

James D. Palmer, PhD Endowed Scholarship/George Mason University

• Must be a full- or part-time graduate student in the MS in Data Analytics Engineering program at George Mason University

Presidential Fellowship in Data Science/University of Virginia

Benefit: full tuition plus $28,000/year toward living expenses and health insurance

• Must be enrolled full-time in graduate data science program at University of Virginia
• Must be conducting a data science project and submit a proposal
• Application deadline: March 20

Washington Data Science Scholarships

University of Washington Certificate Scholarship

Benefit: $3000 to $4000

• Must be a current resident of Washington State
• Must apply and be accepted to an eligible certificate program at University of Washington (includes Certificate in Data Science and Certificate in Data Analytics)
• Must not be a UW employee or family member of employee
• Application deadline: July 10

Albers School of Business and Economics Scholarships/Seattle University

• Must be a graduate student enrolled in a data science related program (such as the MS in Business Analytics) in the Albers School of Business and Economics at Seattle University

West Virginia Data Science Scholarships

There are no data science scholarships available in Wyoming as of January 2018.

Wisconsin Data Science Scholarships

University of Wisconsin-La Crosse Graduate Assistantships

Benefit: reduced tuition

• Must be enrolled in at least five credits and majoring in the MS in Data Science program at UW La Crosse
• Must work 14-20 hours/week

Wyoming Data Science Scholarships

• Graduate Studies

Machine Learning and Big Data PhD Track

Optional PhD Tracks:   Statistical Genetics ,  Statistics in the Social Sciences ,  Machine Learning and Big Data

About The UW Department of Statistics now offers a PhD track in the area of Machine Learning and Big Data. All incoming and current students are eligible to apply. The goal of the PhD track is to prepare students to tackle large data analysis tasks with the most advanced tools in existence today, while building a strong methodological foundation. Students in this track will have a multidisciplinary experience, taking courses across departments and interacting with faculty and graduate students from these departments. A similar PhD track is being offered in  Computer Science and Engineering  (CSE), and students from both of these tracks will interact significantly in the core courses.

More details about ML @ UW can be found  here  and  here .

For application details, click  here .

Program Requirements

• Statistics Core:  STAT 570 ,  STAT 581 ,  STAT 582
• ML/BD Core:
• (i) Foundational ML:  STAT 535 (ii) One advanced ML course:  STAT 538  or  STAT 548 (iii) One CSE course:  CSE 544  (Databases) or CSE 512 (Visualization) (iv) One MLBD related elective such as a course from the list below and Two electives from the general electives list:        * Advanced Statistical Learning ( STAT 538 )       * Machine Learning for Big Data ( STAT 548 )       * Graphical Models ( CSE 515 )       * Visualization (CSE 512)       * Databases ( CSE 544 )       * Convex Optimization ( EE 578 )
• All other statistics PhD requirements hold, except  STAT 571  may be used to satisfy the Applied Data Analysis Project.
• STAT 583 is not required.

Advanced Data Science Transcriptable Option A student in the MLBD track can, in addition, choose to enroll/satisfy the Advanced Data Science Option. To further expand students' education and create a campus-wide community, students will register for at least 4 quarters in the weekly  eScience Community Seminar . Satisfying this option means that the student will have "ADS" listed on their transcript.

• eScience ADSO

ML Lunch Series A lunchtime seminar on a topic related to machine learning is held nearly weekly on Tuesdays during term. Lunch is provided. Updates are posted  here .

ML Mailing List General announcements related to machine learning are made on the  ML mailing list .

PhD Top-Up Scholarships

The Centre for Big Data Research in Health (CBDRH) is excited to launch Top-Up Scholarships for high-achieving domestic and international candidates seeking to start a PhD in 2025.

About CBDRH

Established in 2014 at the UNSW Faculty of Medicine and Health, CBDRH is Australia's first research centre dedicated to health research utilising large-scale electronic data across biomedical, clinical, health services, and public health domains. The Centre engages with government, industry, healthcare providers, communities and consumers through codesign and coproduction methods to ensure the effective translation and implementation of research findings into health policy, services, and programmes.

About the Scholarships

Expressions of interest are invited from potential candidates who are seeking to undertake a nominated research project in the Centre. Top-up scholarships of $10,000 per annum will be available for a period of 3 years, with the possibility of a 6-month extension depending on progress.

It is expected that candidates will apply for a full scholarship in the September UNSW Scholarships round, to commence study in 2025. More Information about scholarships can be found at Postgraduate Research Scholarships .

All potential candidates must meet the eligibility requirements for entry to a research higher degree program at UNSW, including the English language, qualifications and residency requirements.

See below for full details on the research projects eligible for a top-up scholarship. Top-up scholarships are not currently available for other projects. Any questions about the research projects should be emailed to: [email protected]

How to apply

Applications have closed. 

Once your EOI is received it will be assessed by the supervisory team and you will be contacted to discuss the project and your EOI.

Research projects eligible for a top-up scholarship

• Development of a digital twin of the female metabolic system to enhance women’s health across menopausal stages
• Using population-wide Australian data to understand the role of infectious diseases in the aetiology of dementia
• Under the bonnet of digital health interventions: Validating quality and safety with objective data tools
• Real-world evidence on devices and therapies to treat heart failure patients in Australia
• Using linked data to advance our understanding of benefits and costs of medical technologies for cardiovascular diseases in Australia
• Understanding the impact of informal caregiving on the health trajectory of carers in Australia
• AI-Driven Automated Methods for Summarization of Electronic Medical Records
• Automated Clinical Coding Using AI Techniques

Applications have closed.

• Data Science

Top Data Science Scholarships in 2024

Home Blog Data Science Top Data Science Scholarships in 2024

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.  

The scope of data science is extensive and touches upon many other fields, such as mathematics, statistics, computer science, information science, and more. In addition, data science is used in many industries, such as healthcare, finance, manufacturing, retail, and more.  

Data Science Scholarships: Overview

Data Science scholarships are abound throughout the Globe! Explore opportunities for Masters, PhDs, international students, and more. This blog dives deep into scholarships and also highlights online Data Science courses in India and other countries to prepare you for the field. Let's find the perfect scholarship to launch your data science journey!

In addition, many aspiring students take the smarter approach by pursuing  O nline Dat a Science  Courses  in India .

Top Data Science Scholarships Across the Globe - 2024

Data science master's scholarships  are becoming more and more common as the data science industry continues to grow. These scholarships help students finance their master's and Ph.D. programs in data science to get the best education and resources possible. As a result, the concept of data science is shaping the industry in a very positive way, as it is helping to create new jobs and career opportunities for people with the right skills.   

For intense training, many students opt for  Online Data Science Boot Camps , as they provide excellent data science and technology sessions. In addition, the  best universities  can guide students toward upgrading their skills and learning new expertise. These courses will help you develop your talent and be ready to face the competitive industry.

Data Science Scholarships UK 

Several UK data science scholarships are available for undergraduate and postgraduate students. These scholarships are typically awarded to students who have demonstrated excellent academic achievement and show a vital interest in pursuing a career in data science. As the demand for data scientists continues to grow, these scholarships provide an excellent opportunity for students to acquire the skills and education needed to enter this exciting and fast-growing field.   

1. Data Science Scholarship Scheme, run by the British Computer Society 

• Key points:  The Data Science Scholarship Scheme is an initiative by the British Computer Society to encourage and support young people interested in data science.   
• Deadline:  The deadline for applications is 31st August annually.   
• Host/Eligibility Nationality and Level/Field of Study:  The scheme is open to UK nationals aged 18-30 who are currently studying or have recently graduated from data science, computer science, or a related degree.   
• Scholarship Worth:  The scholarship is worth £5,000 and will be used to cover the costs of tuition, books, travel and other expenses associated with studying data science.   
• Access the  application link .
• Contact info:  The contact information for the scholarship is as follows: British Computer Society, Data Science Scholarship Scheme, PO Box 29, Colchester, Essex CO2 8QY, United Kingdom; email:  [email protected] .  
• Award Price:  The award price is £5,000.  

2. Data Science Institute Scholarship Scheme at Imperial College London

• Key points:  The Data Science Institute Scholarship Scheme at Imperial College London offers scholarships to students from around the world interested in pursuing a career in data science.   
•   Deadline : The deadline for the scholarship is March 31 annually.   
• Host/Eligibility Nationality and Level/Field of Study  

The scholarship is open to all nationalities, and the level/field of study for the scholarship is data science.   

•   Scholarship Worth:  The scholarship is worth up to £10,000 per year for three years of study.   
•   Contact info:  [email protected] . , Telephone: (+44) 020 7594 7258  
•   Award Price:  The award price for the scholarship is up to £10,000 per year for three years of study.  

3. Data Science MSc Scholarship at the University of Warwick

• Key points:  The Data Science MSc Scholarship at the University of Warwick is a competitive scholarship awarded to students who show excellence in their field of study.   
• Deadline:  The annual deadline for this scholarship is March 1st.   
• Host/Eligibility Nationality:  This scholarship is open to students of any nationality.   
• Level/Field of Study:  The level of study for this scholarship is a master's.   
• Scholarship Worth:  The scholarship is worth £5,000.   
• Scholarship inquiries  
• E:  [email protected]  
• T: +44 (0)24 7652 4554  
• Award Price:  The award price for this scholarship is £5,000.  

4. EPSRC Doctoral Training Partnerships (DTP)

• Key Points: Doctoral Training Partnerships (DTP) are collaborative programs that support doctoral training in STEM subjects, including data science, and they receive funding from the Engineering and Physical Sciences Research Council.  
• Deadline: As deadlines vary with specific DTPs, prospective applicants should check directly with the ones they are interested in.  
• Host/Eligibility Nationality and Level/Field of Study: These Partnerships involve several universities working together to provide full and multifaceted research environments. There are requirements for applicants, although DTPs typically accept students in STEM subjects such as data science.  
• Award Price: The amounts vary, although they usually cover tuition fees and provide a stipend for living expenses.

5. University of Oxford Clarendon Scholarship  

• Key Points:  The Clarendon Scholarship is a highly reputable award from the University of Oxford for graduate students in various fields, including data science.  
• Deadline:  Individual deadlines may vary. Applicants should see the Clarendon Scholarship website for updates on specific application dates and times.  
• Host/Eligibility Nationality and Level/Field of Study:  There are no age restrictions for the Clarendon Scholarship, which is open to outstanding scholars worldwide.   It includes different fields of study and provides opportunities to advanced-degree seekers, including data science.  
• Clarendon Scholarship: University of Oxford  
• Contact Info:  Interested candidates should contact the University of Oxford directly via their official website for further details.  
• Award Price:  The award amount varies, including tuition, fees, and living expenses.  

Data Science Scholarships Canada

There are many scholarships for students who want to pursue data science in Canada.  Data science scholarships in Canada  are available from the federal government and provincial and private organizations. These  scholarships in data science  provide financial support to help cover the costs of tuition, books, and living expenses. They are a great way to help make data science education more affordable and accessible.  

1. Federal government scholarships with Canada Graduate Scholarships-Master's program

• Key points:  Scholarships are awarded to high-performing students to help them complete their Master's degrees. Scholarships are awarded based on academic excellence, research potential, and leadership.  
• Deadline: The application  deadline is December 1st.  
• Host/Eligibility Nationality:  Scholarships are available to Canadian and international students who are enrolled in full-time Master's programs at Canadian universities.  
• Level/Field of Study:  Scholarships are available for students enrolled in full-time Master's programs in all fields of study.  
• Scholarship Worth:  Scholarships are worth $17,500 per year for up to two years of study.  
• Contact info:  For more information, please contact the Canada Graduate Scholarships program at 1-877-835-2620 or  [email protected] .  
•   Award Price:  Scholarships are worth $17,500 per year for up to two years of study.

2. Data science scholarships with Ontario Graduate Scholarship program 

• Key points:  The data science scholarships with the Ontario Graduate Scholarship program are available to students enrolled in full-time studies at the graduate level.   
• Deadline:  The deadline to apply for the data science scholarships is March 1st.   
• Host/Eligibility Nationality:  Scholarships are available to students of any nationality.   
• Level/Field of Study:  Scholarships are available to students studying data science at the graduate level.   
• Scholarship Worth:  The scholarships are worth $5,000 CAD.     
• Government of Ontario  
• PO Box 8500, Station A, Toronto ON, M5W 1W7.  
• 416-325-6600  
• Award Price:  The award price for the data science scholarship is $5,000 CAD.

3. Data Science Scholarship by Toronto Data Science Academy

• Key points:  The Toronto Data Science Academy offers a Data Science Scholarship to help support those who want to pursue a career in data science.   
• Deadline:  The deadline to apply for the Toronto Data Science Academy Data Science Scholarship is March 31st annually.   
• Host/Eligibility Nationality:  The scholarship is open to students of all backgrounds and levels of study.   
• Level/Field of Study:  The scholarship is open to students of all backgrounds and levels of study.   
• Scholarship Worth:  The scholarship is worth $10,000.   
• Contact info:  For more information, please contact  [email protected] .   
• Award Price:  The scholarship is worth $10,000.

4. Vanier Canada Graduate Scholarships (Vanier CGS)  

• Key Points: The Vanier CGS is a highly competitive scholarship program in Canada to attract and retain world-class doctoral students from around the globe who have demonstrated leadership skills, show a high academic calibre of achievement, and plan long-term careers, at least in their field.  
• Deadline: The application deadline for the Vanier CGS usually occurs in November of every year. Applicants should visit the official website for up-to-date information.  
• Host/Eligibility Nationality and Level/Field of Study: The Vanier CGS is funded by the Canadian government and open to Canadians studying in Canada and international students. It covers a wide range of students and fields of study.  
• Award Price: The value of the Vanier CGS award is $ 50,00 per year for three years and makes an important contribution to doctoral students' studies and research.  

Data Science Scholarships for African Students

Data science scholarships for African students  are becoming more popular as the continent increasingly embraces data-driven decision-making. As data becomes a part of our lives, young Africans must have the opportunity to develop the skills needed to thrive in a data-driven world. These scholarships provide African students with the opportunity to study data science at some of the world's leading universities. They also offer the chance to work on real-world problems and positively impact the continent.  

1. African data science fellowship from the MIT Media Lab

• Key points: T he fellowship is for African data science students interested in pursuing a career in data science.   
• Deadline:  The deadline for the fellowship is February 28, annually.  
• Host/Eligibility Nationality:  The host of the fellowship is the MIT Media Lab. The eligibility nationality for the fellowship is African.   
• Level/Field of Study:  The level/field of study for the fellowship is data science.   
• Scholarship Worth:  The scholarship worth for the fellowship is $10,000.   
• Contact info:  The contact info for the fellowship is  [email protected] .   
• Award Price:  The award price for the fellowship is $10,000  

2. Data science for the social good fellowship from the University of California, Berkeley

• Key points : The Berkeley Data Science for Social Good fellowship is a 12-week summer program that trains data science students to work on projects with government and non-profit organizations.   
• Deadlin e: The application deadline is February 1st.   
• Host/Eligibility Nationality : The program is hosted by the University of California, Berkeley and is open to students of any nationality.   
• Level/Field of Study : The program is open to graduate students in data science, computer science, statistics, and related fields.   
• Scholarship Worth : Fellows will receive a stipend of $30,000 per year, as well as health insurance and other benefits.  
• Contact info :  [email protected]    
• Award Price : Fellows receive a stipend of $7,500 as well as housing and travel allowances.  

3. Data science for social impact scholarship from Microsoft

• Key points:  The Data science for social impact scholarship from Microsoft is a scholarship that is awarded to students who are interested in data science and its potential to make a positive impact on society.  
• Deadline : The deadline for this scholarship is March 1st.  
• Host/Eligibility Nationality:  This scholarship is hosted by Microsoft and is open to students of any nationality.  
• Level/Field of Study:  This scholarship is open to students at the undergraduate or graduate level who are interested in data science.  
• Scholarship Worth : The scholarship is worth $10,000.  
• Contact info : For more information about this scholarship, please contact Microsoft at  [email protected] .  
• Award Price: The award price for this scholarship is $10,000.  

Masters in Data Science Scholarships for International Students in the USA

International students have many options of scholarships to choose from if they wish to study data science in the United States. Naturally, universities are the dominating providers of these  master of data science entry scholarships for international students . But some private organizations lend a hand too.   

1. Data science scholarships for international students in the USA by the University of Southern California

• Key points:  The University of Southern California offers data science scholarships for international students who are enrolled in the USC Viterbi School of Engineering’s Data Science Master’s Program.   
• Deadline:  The deadline to apply for the scholarship is September 15th.  
• Host/Eligibility Nationality:  The scholarship host is the University of Southern California. The eligibility nationality for the scholarship is open to all nationalities.   
• Level/Field of Study:  The level/field of study for the scholarship is for international students enrolled in the USC Viterbi School of Engineering’s Data Science Master’s Program.   
• Scholarship Worth:  The scholarship is worth $5,000.  
• Contact info:  The contact info for the scholarship is as follows: USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089.   
• Award Price:  The award price for the scholarship is $5,000.  

2. Northeastern University Data Science Global Scholarship

• Key points:  The Northeastern University Data Science Global Scholarship is a $25,000 scholarship open to students of any nationality who are enrolled in a data science program at Northeastern University.   
• Deadline : The deadline for this scholarship is March 31.   
• Host/Eligibility Nationality : This scholarship is open to students of any nationality enrolled in a data science program at Northeastern University.   
• Level/Field of Study : This scholarship is open to students enrolled in a data science program at Northeastern University.   
• Scholarship Worth:  This scholarship is worth $25,000.   
• Contact info : For more information, please contact the Office of Admissions at  [email protected] .   
• Award Price : $25,000  

3. Google India Scholarships for Data Science

• Key points:  The Google India Scholarships for Data Science are open to Indian citizens who are currently enrolled in a full-time degree program in data science or a related field at a university in the USA. The scholarship will be awarded based on academic merit, financial need, and the student's potential to contribute to the field of data science.   
• Deadline:  The deadline to apply is May 31.  
• Host/Eligibility Nationality:  The scholarship is open to international students currently enrolled in a full-time undergraduate or postgraduate program in the USA who are interested in a career in data science.   
•   Level/Field of Study:  The scholarships are open to students enrolled in a full-time degree program in data science or a related field at a university in India.  
• Scholarship Worth:  The scholarships are worth INR 1,00,000 each and will be used to cover tuition and other educational expenses.  
• Contact info:  For more information, please visit the Google India Scholarships for Data Science website.
• Award Price : The Google India Scholarships for Data Science will award 50 students with INR 1,00,000 each.  

These are just some of the wide number of  data scientist scholarships  available for international students seeking to study data science in the United States. With a plethora of options available, there is sure to be a scholarship that meets your needs.  

Data Science Scholarships India    

Data science scholarships in India  are becoming increasingly demanding as the country looks to build its capabilities in this area. As a result, some organizations offer scholarships to study data science at the undergraduate and graduate levels.  

1. Tata Consultancy Services (TCS) Data Science Scholarship

• Key points:  The Tata Consultancy Services (TCS) Data Science Scholarship is a merit-based scholarship for Indian students who are enrolled in a data science program at an accredited institution.   
• Deadline:  The deadline is June 30.   
• Host/Eligibility Nationality : The scholarship is hosted by Tata Consultancy Services and is open to Indian students who are enrolled in a data science program at an accredited institution.   
• Level/Field of Study : The Scholarship is open to students who are enrolled in a data science program at an accredited institution.   
• Scholarship Worth:  It is worth up to INR 1,00,000.   
• Award Price : The Tata Consultancy Services (TCS) Data Science Scholarship is worth up to INR 1,00,000.  

2. IBM Data science scholarship

• Key points:  The IBM Data Science Scholarship is a competitive scholarship for students who are passionate about data science and want to pursue a career in the field.   
• Deadline:  The deadline for the IBM Data Science Scholarship is March 31.   
• Host/Eligibility Nationality:  The scholarship is open to students of any nationality who are enrolled in an accredited college or university.   
• Level/Field of Study : The scholarship is open to students pursuing a degree in data science or a related field.   
• Application Link:  The IBM Data Science Scholarship application link can be found  here .   
• Contact info:  The contact info for the IBM Data Science Scholarship is  [email protected] .   
• Award Price : The award price for the IBM Data Science Scholarship is $10,00  

3. Amazon Data science scholarship

• Key points:  The Amazon Data Science Scholarship is a competitive scholarship that is awarded to students who are pursuing a data science degree at an accredited university.   
• Deadline:  The deadline to apply for the scholarship is March 31.  
• Host/Eligibility Nationality:  The scholarship is open to students of any nationality who are enrolled in a data science program at an accredited university.   
• Level/Field of Study:  The scholarship is open to students pursuing a data science degree at an accredited university.  
• Scholarship Worth:  The scholarship is worth $10,000 and is to be used for tuition and other related expenses.   
• Application Link:  The application for the scholarship can be found on  amazon.  
• Contact info:  The contact information for the scholarship is Amazon Data Science Scholarship, P.O. Box 81226, Seattle, WA 98108-1226   
• Award Price:  The award amount for the scholarship is $10,000.  

MSc data science scholarships  are becoming an important part of the ecosystem in India, as they provide scope for talented students to pursue their studies without incurring significant financial burdens. In addition, these scholarships also help to build the country's capabilities in this critical area.  

Data Science Scholarships Online

Many  data science scholarships online  can help you pay for your education. Some of these are offered by universities, while private organizations provide  online master data science scholarships . Here are some examples of data science scholarships online:  

1. The Data Science Scholarship provided by the University of Michigan

• Key points:  The Data Science Scholarship is provided by the University of Michigan.   
• Deadline:  The deadline for the scholarship is March 31.  
• Host/Eligibility Nationality:  The host/eligibility nationality for the scholarship is US citizens or permanent residents.   
• Level/Field of Study:  The level/field of study for the scholarship is data science.  
• Scholarship Worth:  The scholarship is worth up to $10,000.   
• Application Link:  The application link for the scholarship is  here .   
• Contact info:  The contact info for the scholarship is  [email protected] .   
• Award Price:  The award price for the scholarship is $10,000.  

2. The Data Science Scholarship provided by the University of Washington

• Key   points:  The Data Science Scholarship is provided by the University of Michigan.  
• Deadline:  The deadline for the scholarship is December 31.  
• Host/Eligibility Nationality:  The host/eligible nationality for the scholarship is US citizens or permanent residents.  
• Scholarship Worth:  The scholarship worth is $10,000.  
• Contact info:  The contact info for the scholarship is  [email protected] .  

3. Online data science scholarship at Standford University

• Key points:  The Standford University Online Data Science Scholarship is a prestigious scholarship that is awarded to students who are enrolled in an online data science program at the university. The scholarship is worth $5,000 and is renewable for up to four years.   
• Deadline : March 1st   
• Host/Eligibility Nationality:  Standford University, United States   
• Level/Field of Study:  Online data science program   
• Scholarship Worth:  $5,000   
• Contact info:  [email protected]    
• Award Price:  $5,000  

Top Three Data Science Ph.D. Scholarships

There is no one definition of data science, but it can be generally described as the process of pulling out knowledge and insights from data. This may involve using various statistics, machine learning, and artificial intelligence techniques to analyze data sets and find patterns or trends.

A Ph.D. in data science could help you secure a position as a data scientist or a related role in industry or academia. And, if you're interested in pursuing a career in research, a data science Ph.D. could be the perfect fit.

Many  data science Ph.D. scholarships  are available to help offset tuition and other associated expenses. Here are three of the best data science Ph.D. scholarships:  

1. The Data Science Scholarship from the University of Illinois at Urbana-Champaign

• Key points:  The Ph.D. Data Science Scholarship from the University of Illinois at Urbana-Champaign is a fully-funded scholarship for students who are interested in pursuing a career in data science.   
• Deadline:  The deadline for the scholarship is December 1.  
• Host/Eligibility Nationality:  The scholarship is open to students of any nationality.   
• Level/Field of Study:  The scholarship is for students who are enrolled in a Ph.D. program in data science at the University of Illinois at Urbana-Champaign.   
• Scholarship Worth:  The scholarship is worth $20,000 per year.   
• Contact info:  The contact info for the scholarship is as follows: Office of Fellowships and Scholarships 217-333-6280  [email protected] .   
• Award Price:  The award price for the scholarship is $20,000 per year.  

2. The Data Science Scholarship from the University of California, Berkeley

• Key points:  This scholarship is for students who want to pursue a Ph.D. in Data Science at UC Berkeley.  
• Deadline:  The deadline for this scholarship is December 15.  
• Host/Eligibility Nationality:  This scholarship is open to students of any nationality.  
• Level/Field of Study:  The level/field of study for this scholarship is Ph.D. Data Science.   
• Scholarship Worth:  The scholarship is worth $40,000 per year for four years.        
• Contact info:  [email protected]  
• Award Price:  The award price for this scholarship is $40,000 per year for four years.  

3. The Data Science Scholarship from the University of Southern California

• Key points:  The Ph.D. Data Science Scholarship from the University of Southern California is a competitive scholarship for students enrolled in the Data Science Ph.D. program at USC.   
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• Scholarship Worth:  The scholarship is worth $10,000 and is renewable for up to four years.   
• Contact info:  The contact info for the scholarship is:  [email protected]    
• Award Price:  The award price is $10,000.  

Data  S cience  S cholarship: Why Should You Get One?  

There are many reasons why students should get a  master's data science scholarship . First, data science is a budding new field, and there is a lot of room for growth and development. Additionally, data science is highly interdisciplinary, so students with a wide range of interests and backgrounds can find a place in the area.

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How to Apply  for  Data Science Scholarships?  

But getting a data science scholarship is both strategic and well-organized work. Here's a step-by-step guide to help you through the process:  

• Explore Scholarship Opportunities:   Start your search at websites, scholarship databases and grant-making institutions that offer data science scholarships with good reputations. Research academic institutions, private organizations and industry-related foundations that assist students in data science fields. Pay attention to the eligibility criteria, application procedures and deadlines for each scholarship.  
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• Prepare Supplementary Materials:   Assemble all the supplementary materials that you will need for the application. This may involve academic transcripts, letters of recommendation, the proposals for a selected portfolio of relevant projects or any other documents required by scholarship providers. These materials should be appropriately organized and favorable for your application.  
• Submit Your Application Package:   Pay attention to the submission guidelines for each scholarship. Assemble a complete application package. Make sure all documents are present and conform to the specified format. Make sure to pay attention to deadlines and submit applications in good time, making allowances for possible technical problems or delays.  

The Domains Where Data Science Creates Its Impression

From retail to healthcare and from media to manufacturing, Data Science has created its impression in several domains. It has helped optimize the processes and improve the organizations' decision-making abilities. Data Science has been used for predictive maintenance, identifying potential customers, detecting frauds, and improving the customer experience. It has also been used for optimizing the supply chain and reducing wastage. 

The industry opens up several windows of opportunity upon gaining expertise in data science. An individual with a master's degree or a Ph.D. in Data Science assisted by a master  in data science scholarship for international students in the USA  can choose from the following careers: 

• Data analyst  
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• Quantitative analyst    

Chart your career course diving into excellence with our business analyst program  . Gain the skills and knowledge to excel in business analysis. Enroll now!

Certainly, data science is a rapidly growing field with immense potential. Students interested in data science can pursue a  data science master's degree scholarship  to help them achieve their goals. They can quickly learn  Machine Learning With P ython Training  in top universities and online. Moreover,  scholarships for masters in data science  can provide financial assistance and access to otherwise unavailable resources. 

There are other aids available, too, such as  scholarships for women in data science ,  data science bootcamp scholarships ,  and  health data science scholarships . Additionally, scholarships can help students stand out from the crowd and be competitive for jobs. 

Frequently Asked Questions (FAQs)

Some commonly required skills for data scientists include strong analytical and mathematical skills, programming skills, and the ability to transfer the knowledge of complex data and findings to non-technical audiences effectively.

Data science boot camps can be useful for people who want to learn about data science and gain practical experience working with data. Boot camps can also be an excellent way to network with other data scientists and learn about job opportunities in the field.  

To answer this question, it depends on individual preferences and goals. However, data science requires a strong background in mathematics and statistics, while programming requires logical problem-solving skills.  

Ashish Gulati

Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

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• PhD scholarships in Finance 2024

BIGFI PHD SCHOLARSHIPS

At Center for Big Data in Finance (BIGFI) we aim to produce PhD candidates at a high international level. Each year, BIGFI and the Department of Finance invite applications for PhD scholarships – both under the traditional three-year PhD scheme and under the 4+4 PhD scheme. BIGFI PhD candidates should pursue ambitious projects using big data in any area of finance, such as machine learning, ESG investing, how social networks affect finance, research replicability, regulatory data in finance, financial institutions, and individual investor behavior.

Find the PhD posting for 2024 here (deadline February 29, 2024).

Find more information about PhD Scholarships here.

CURRENT PHD STUDENTS

Marc Hartung Eskildsen Zhuolu Gao Kristoffer Halskov Oliver Hellum Felix Lundén Christian Stolborg Clara Egehoved Tørsløv Giovanni Venturato

• Study Protocol
• Open access
• Published: 26 August 2024

Learning effect of online versus onsite education in health and medical scholarship – protocol for a cluster randomized trial

• Rie Raffing 1 ,
• Lars Konge 2 &
• Hanne Tønnesen 1  

BMC Medical Education volume  24 , Article number:  927 ( 2024 ) Cite this article

Metrics details

The disruption of health and medical education by the COVID-19 pandemic made educators question the effect of online setting on students’ learning, motivation, self-efficacy and preference. In light of the health care staff shortage online scalable education seemed relevant. Reviews on the effect of online medical education called for high quality RCTs, which are increasingly relevant with rapid technological development and widespread adaption of online learning in universities. The objective of this trial is to compare standardized and feasible outcomes of an online and an onsite setting of a research course regarding the efficacy for PhD students within health and medical sciences: Primarily on learning of research methodology and secondly on preference, motivation, self-efficacy on short term and academic achievements on long term. Based on the authors experience with conducting courses during the pandemic, the hypothesis is that student preferred onsite setting is different to online setting.

Cluster randomized trial with two parallel groups. Two PhD research training courses at the University of Copenhagen are randomized to online (Zoom) or onsite (The Parker Institute, Denmark) setting. Enrolled students are invited to participate in the study. Primary outcome is short term learning. Secondary outcomes are short term preference, motivation, self-efficacy, and long-term academic achievements. Standardized, reproducible and feasible outcomes will be measured by tailor made multiple choice questionnaires, evaluation survey, frequently used Intrinsic Motivation Inventory, Single Item Self-Efficacy Question, and Google Scholar publication data. Sample size is calculated to 20 clusters and courses are randomized by a computer random number generator. Statistical analyses will be performed blinded by an external statistical expert.

Primary outcome and secondary significant outcomes will be compared and contrasted with relevant literature. Limitations include geographical setting; bias include lack of blinding and strengths are robust assessment methods in a well-established conceptual framework. Generalizability to PhD education in other disciplines is high. Results of this study will both have implications for students and educators involved in research training courses in health and medical education and for the patients who ultimately benefits from this training.

Trial registration

Retrospectively registered at ClinicalTrials.gov: NCT05736627. SPIRIT guidelines are followed.

Peer Review reports

Medical education was utterly disrupted for two years by the COVID-19 pandemic. In the midst of rearranging courses and adapting to online platforms we, with lecturers and course managers around the globe, wondered what the conversion to online setting did to students’ learning, motivation and self-efficacy [ 1 , 2 , 3 ]. What the long-term consequences would be [ 4 ] and if scalable online medical education should play a greater role in the future [ 5 ] seemed relevant and appealing questions in a time when health care professionals are in demand. Our experience of performing research training during the pandemic was that although PhD students were grateful for courses being available, they found it difficult to concentrate related to the long screen hours. We sensed that most students preferred an onsite setting and perceived online courses a temporary and inferior necessity. The question is if this impacted their learning?

Since the common use of the internet in medical education, systematic reviews have sought to answer if there is a difference in learning effect when taught online compared to onsite. Although authors conclude that online learning may be equivalent to onsite in effect, they agree that studies are heterogeneous and small [ 6 , 7 ], with low quality of the evidence [ 8 , 9 ]. They therefore call for more robust and adequately powered high-quality RCTs to confirm their findings and suggest that students’ preferences in online learning should be investigated [ 7 , 8 , 9 ].

This uncovers two knowledge gaps: I) High-quality RCTs on online versus onsite learning in health and medical education and II) Studies on students’ preferences in online learning.

Recently solid RCTs have been performed on the topic of web-based theoretical learning of research methods among health professionals [ 10 , 11 ]. However, these studies are on asynchronous courses among medical or master students with short term outcomes.

This uncovers three additional knowledge gaps: III) Studies on synchronous online learning IV) among PhD students of health and medical education V) with long term measurement of outcomes.

The rapid technological development including artificial intelligence (AI) and widespread adaption as well as application of online learning forced by the pandemic, has made online learning well-established. It represents high resolution live synchronic settings which is available on a variety of platforms with integrated AI and options for interaction with and among students, chat and break out rooms, and exterior digital tools for teachers [ 12 , 13 , 14 ]. Thus, investigating online learning today may be quite different than before the pandemic. On one hand, it could seem plausible that this technological development would make a difference in favour of online learning which could not be found in previous reviews of the evidence. On the other hand, the personal face-to-face interaction during onsite learning may still be more beneficial for the learning process and combined with our experience of students finding it difficult to concentrate when online during the pandemic we hypothesize that outcomes of the onsite setting are different from the online setting.

To support a robust study, we design it as a cluster randomized trial. Moreover, we use the well-established and widely used Kirkpatrick’s conceptual framework for evaluating learning as a lens to assess our outcomes [ 15 ]. Thus, to fill the above-mentioned knowledge gaps, the objective of this trial is to compare a synchronous online and an in-person onsite setting of a research course regarding the efficacy for PhD students within the health and medical sciences:

Primarily on theoretical learning of research methodology and

Secondly on

◦ Preference, motivation, self-efficacy on short term

◦ Academic achievements on long term

Trial design

This study protocol covers synchronous online and in-person onsite setting of research courses testing the efficacy for PhD students. It is a two parallel arms cluster randomized trial (Fig.  1 ).

Consort flow diagram

The study measures baseline and post intervention. Baseline variables and knowledge scores are obtained at the first day of the course, post intervention measurement is obtained the last day of the course (short term) and monthly for 24 months (long term).

Randomization is stratified giving 1:1 allocation ratio of the courses. As the number of participants within each course might differ, the allocation ratio of participants in the study will not fully be equal and 1:1 balanced.

Study setting

The study site is The Parker Institute at Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Denmark. From here the courses are organized and run online and onsite. The course programs and time schedules, the learning objective, the course management, the lecturers, and the delivery are identical in the two settings. The teachers use the same introductory presentations followed by training in break out groups, feed-back and discussions. For the online group, the setting is organized as meetings in the online collaboration tool Zoom® [ 16 ] using the basic available technicalities such as screen sharing, chat function for comments, and breakout rooms and other basics digital tools if preferred. The online version of the course is synchronous with live education and interaction. For the onsite group, the setting is the physical classroom at the learning facilities at the Parker Institute. Coffee and tea as well as simple sandwiches and bottles of water, which facilitate sociality, are available at the onsite setting. The participants in the online setting must get their food and drink by themselves, but online sociality is made possible by not closing down the online room during the breaks. The research methodology courses included in the study are “Practical Course in Systematic Review Technique in Clinical Research”, (see course programme in appendix 1) and “Getting started: Writing your first manuscript for publication” [ 17 ] (see course programme in appendix 2). The two courses both have 12 seats and last either three or three and a half days resulting in 2.2 and 2.6 ECTS credits, respectively. They are offered by the PhD School of the Faculty of Health and Medical Sciences, University of Copenhagen. Both courses are available and covered by the annual tuition fee for all PhD students enrolled at a Danish university.

Eligibility criteria

Inclusion criteria for participants: All PhD students enrolled on the PhD courses participate after informed consent: “Practical Course in Systematic Review Technique in Clinical Research” and “Getting started: Writing your first manuscript for publication” at the PhD School of the Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.

Exclusion criteria for participants: Declining to participate and withdrawal of informed consent.

Informed consent

The PhD students at the PhD School at the Faculty of Health Sciences, University of Copenhagen participate after informed consent, taken by the daily project leader, allowing evaluation data from the course to be used after pseudo-anonymization in the project. They are informed in a welcome letter approximately three weeks prior to the course and again in the introduction the first course day. They register their consent on the first course day (Appendix 3). Declining to participate in the project does not influence their participation in the course.

Interventions

Online course settings will be compared to onsite course settings. We test if the onsite setting is different to online. Online learning is increasing but onsite learning is still the preferred educational setting in a medical context. In this case onsite learning represents “usual care”. The online course setting is meetings in Zoom using the technicalities available such as chat and breakout rooms. The onsite setting is the learning facilities, at the Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, University of Copenhagen, Denmark.

The course settings are not expected to harm the participants, but should a request be made to discontinue the course or change setting this will be met, and the participant taken out of the study. Course participants are allowed to take part in relevant concomitant courses or other interventions during the trial.

Strategies to improve adherence to interventions

Course participants are motivated to complete the course irrespectively of the setting because it bears ECTS-points for their PhD education and adds to the mandatory number of ECTS-points. Thus, we expect adherence to be the same in both groups. However, we monitor their presence in the course and allocate time during class for testing the short-term outcomes ( motivation, self-efficacy, preference and learning). We encourage and, if necessary, repeatedly remind them to register with Google Scholar for our testing of the long-term outcome (academic achievement).

Outcomes are related to the Kirkpatrick model for evaluating learning (Fig.  2 ) which divides outcomes into four different levels; Reaction which includes for example motivation, self-efficacy and preferences, Learning which includes knowledge acquisition, Behaviour for practical application of skills when back at the job (not included in our outcomes), and Results for impact for end-users which includes for example academic achievements in the form of scientific articles [ 18 , 19 , 20 ].

The Kirkpatrick model

Primary outcome

The primary outcome is short term learning (Kirkpatrick level 2).

Learning is assessed by a Multiple-Choice Questionnaire (MCQ) developed prior to the RCT specifically for this setting (Appendix 4). First the lecturers of the two courses were contacted and asked to provide five multiple choice questions presented as a stem with three answer options; one correct answer and two distractors. The questions should be related to core elements of their teaching under the heading of research training. The questions were set up to test the cognition of the students at the levels of "Knows" or "Knows how" according to Miller's Pyramid of Competence and not their behaviour [ 21 ]. Six of the course lecturers responded and out of this material all the questions which covered curriculum of both courses were selected. It was tested on 10 PhD students and within the lecturer group, revised after an item analysis and English language revised. The MCQ ended up containing 25 questions. The MCQ is filled in at baseline and repeated at the end of the course. The primary outcomes based on the MCQ is estimated as the score of learning calculated as number of correct answers out of 25 after the course. A decrease of points of the MCQ in the intervention groups denotes a deterioration of learning. In the MCQ the minimum score is 0 and 25 is maximum, where 19 indicates passing the course.

Furthermore, as secondary outcome, this outcome measurement will be categorized as binary outcome to determine passed/failed of the course defined by 75% (19/25) correct answers.

The learning score will be computed on group and individual level and compared regarding continued outcomes by the Mann–Whitney test comparing the learning score of the online and onsite groups. Regarding the binomial outcome of learning (passed/failed) data will be analysed by the Fisher’s exact test on an intention-to-treat basis between the online and onsite. The results will be presented as median and range and as mean and standard deviations, for possible future use in meta-analyses.

Secondary outcomes

Motivation assessment post course: Motivation level is measured by the Intrinsic Motivation Inventory (IMI) Scale [ 22 ] (Appendix 5). The IMI items were randomized by random.org on the 4th of August 2022. It contains 12 items to be assessed by the students on a 7-point Likert scale where 1 is “Not at all true”, 4 is “Somewhat true” and 7 is “Very true”. The motivation score will be computed on group and individual level and will then be tested by the Mann–Whitney of the online and onsite group.

Self-efficacy assessment post course: Self-efficacy level is measured by a single-item measure developed and validated by Williams and Smith [ 23 ] (Appendix 6). It is assessed by the students on a scale from 1–10 where 1 is “Strongly disagree” and 10 is “Strongly agree”. The self-efficacy score will be computed on group and individual level and tested by a Mann–Whitney test to compare the self-efficacy score of the online and onsite group.

Preference assessment post course: Preference is measured as part of the general course satisfaction evaluation with the question “If you had the option to choose, which form would you prefer this course to have?” with the options “onsite form” and “online form”.

Academic achievement assessment is based on 24 monthly measurements post course of number of publications, number of citations, h-index, i10-index. This data is collected through the Google Scholar Profiles [ 24 ] of the students as this database covers most scientific journals. Associations between onsite/online and long-term academic will be examined with Kaplan Meyer and log rank test with a significance level of 0.05.

Participant timeline

Enrolment for the course at the Faculty of Health Sciences, University of Copenhagen, Denmark, becomes available when it is published in the course catalogue. In the course description the course location is “To be announced”. Approximately 3–4 weeks before the course begins, the participant list is finalized, and students receive a welcome letter containing course details, including their allocation to either the online or onsite setting. On the first day of the course, oral information is provided, and participants provide informed consent, baseline variables, and base line knowledge scores.

The last day of scheduled activities the following scores are collected, knowledge, motivation, self-efficacy, setting preference, and academic achievement. To track students' long term academic achievements, follow-ups are conducted monthly for a period of 24 months, with assessments occurring within one week of the last course day (Table  1 ).

Sample size

The power calculation is based on the main outcome, theoretical learning on short term. For the sample size determination, we considered 12 available seats for participants in each course. To achieve statistical power, we aimed for 8 clusters in both online and onsite arms (in total 16 clusters) to detect an increase in learning outcome of 20% (learning outcome increase of 5 points). We considered an intraclass correlation coefficient of 0.02, a standard deviation of 10, a power of 80%, and a two-sided alpha level of 5%. The Allocation Ratio was set at 1, implying an equal number of subjects in both online and onsite group.

Considering a dropout up to 2 students per course, equivalent to 17%, we determined that a total of 112 participants would be needed. This calculation factored in 10 clusters of 12 participants per study arm, which we deemed sufficient to assess any changes in learning outcome.

The sample size was estimated using the function n4means from the R package CRTSize [ 25 ].

Recruitment

Participants are PhD students enrolled in 10 courses of “Practical Course in Systematic Review Technique in Clinical Research” and 10 courses of “Getting started: Writing your first manuscript for publication” at the PhD School of the Faculty of Health Sciences, University of Copenhagen, Denmark.

Assignment of interventions: allocation

Randomization will be performed on course-level. The courses are randomized by a computer random number generator [ 26 ]. To get a balanced randomization per year, 2 sets with 2 unique random integers in each, taken from the 1–4 range is requested.

The setting is not included in the course catalogue of the PhD School and thus allocation to online or onsite is concealed until 3–4 weeks before course commencement when a welcome letter with course information including allocation to online or onsite setting is distributed to the students. The lecturers are also informed of the course setting at this time point. If students withdraw from the course after being informed of the setting, a letter is sent to them enquiring of the reason for withdrawal and reason is recorded (Appendix 7).

The allocation sequence is generated by a computer random number generator (random.org). The participants and the lecturers sign up for the course without knowing the course setting (online or onsite) until 3–4 weeks before the course.

Assignment of interventions: blinding

Due to the nature of the study, it is not possible to blind trial participants or lecturers. The outcomes are reported by the participants directly in an online form, thus being blinded for the outcome assessor, but not for the individual participant. The data collection for the long-term follow-up regarding academic achievements is conducted without blinding. However, the external researcher analysing the data will be blinded.

Data collection and management

Data will be collected by the project leader (Table  1 ). Baseline variables and post course knowledge, motivation, and self-efficacy are self-reported through questionnaires in SurveyXact® [ 27 ]. Academic achievements are collected through Google Scholar profiles of the participants.

Given that we are using participant assessments and evaluations for research purposes, all data collection – except for monthly follow-up of academic achievements after the course – takes place either in the immediate beginning or ending of the course and therefore we expect participant retention to be high.

Data will be downloaded from SurveyXact and stored in a locked and logged drive on a computer belonging to the Capital Region of Denmark. Only the project leader has access to the data.

This project conduct is following the Danish Data Protection Agency guidelines of the European GDPR throughout the trial. Following the end of the trial, data will be stored at the Danish National Data Archive which fulfil Danish and European guidelines for data protection and management.

Statistical methods

Data is anonymized and blinded before the analyses. Analyses are performed by a researcher not otherwise involved in the inclusion or randomization, data collection or handling. All statistical tests will be testing the null hypotheses assuming the two arms of the trial being equal based on corresponding estimates. Analysis of primary outcome on short-term learning will be started once all data has been collected for all individuals in the last included course. Analyses of long-term academic achievement will be started at end of follow-up.

Baseline characteristics including both course- and individual level information will be presented. Table 2 presents the available data on baseline.

We will use multivariate analysis for identification of the most important predictors (motivation, self-efficacy, sex, educational background, and knowledge) for best effect on short and long term. The results will be presented as risk ratio (RR) with 95% confidence interval (CI). The results will be considered significant if CI does not include the value one.

All data processing and analyses were conducted using R statistical software version 4.1.0, 2021–05-18 (R Foundation for Statistical Computing, Vienna, Austria).

If possible, all analysis will be performed for “Practical Course in Systematic Review Technique in Clinical Research” and for “Getting started: Writing your first manuscript for publication” separately.

Primary analyses will be handled with the intention-to-treat approach. The analyses will include all individuals with valid data regardless of they did attend the complete course. Missing data will be handled with multiple imputation [ 28 ] .

Upon reasonable request, public assess will be granted to protocol, datasets analysed during the current study, and statistical code Table 3 .

Oversight, monitoring, and adverse events

This project is coordinated in collaboration between the WHO CC (DEN-62) at the Parker Institute, CAMES, and the PhD School at the Faculty of Health and Medical Sciences, University of Copenhagen. The project leader runs the day-to-day support of the trial. The steering committee of the trial includes principal investigators from WHO CC (DEN-62) and CAMES and the project leader and meets approximately three times a year.

Data monitoring is done on a daily basis by the project leader and controlled by an external independent researcher.

An adverse event is “a harmful and negative outcome that happens when a patient has been provided with medical care” [ 29 ]. Since this trial does not involve patients in medical care, we do not expect adverse events. If participants decline taking part in the course after receiving the information of the course setting, information on reason for declining is sought obtained. If the reason is the setting this can be considered an unintended effect. Information of unintended effects of the online setting (the intervention) will be recorded. Participants are encouraged to contact the project leader with any response to the course in general both during and after the course.

The trial description has been sent to the Scientific Ethical Committee of the Capital Region of Denmark (VEK) (21041907), which assessed it as not necessary to notify and that it could proceed without permission from VEK according to the Danish law and regulation of scientific research. The trial is registered with the Danish Data Protection Agency (Privacy) (P-2022–158). Important protocol modification will be communicated to relevant parties as well as VEK, the Joint Regional Information Security and Clinicaltrials.gov within an as short timeframe as possible.

Dissemination plans

The results (positive, negative, or inconclusive) will be disseminated in educational, scientific, and clinical fora, in international scientific peer-reviewed journals, and clinicaltrials.gov will be updated upon completion of the trial. After scientific publication, the results will be disseminated to the public by the press, social media including the website of the hospital and other organizations – as well as internationally via WHO CC (DEN-62) at the Parker Institute and WHO Europe.

All authors will fulfil the ICMJE recommendations for authorship, and RR will be first author of the articles as a part of her PhD dissertation. Contributors who do not fulfil these recommendations will be offered acknowledgement in the article.

This cluster randomized trial investigates if an onsite setting of a research course for PhD students within the health and medical sciences is different from an online setting. The outcomes measured are learning of research methodology (primary), preference, motivation, and self-efficacy (secondary) on short term and academic achievements (secondary) on long term.

The results of this study will be discussed as follows:

Discussion of primary outcome

Primary outcome will be compared and contrasted with similar studies including recent RCTs and mixed-method studies on online and onsite research methodology courses within health and medical education [ 10 , 11 , 30 ] and for inspiration outside the field [ 31 , 32 ]: Tokalic finds similar outcomes for online and onsite, Martinic finds that the web-based educational intervention improves knowledge, Cheung concludes that the evidence is insufficient to say that the two modes have different learning outcomes, Kofoed finds online setting to have negative impact on learning and Rahimi-Ardabili presents positive self-reported student knowledge. These conflicting results will be discussed in the context of the result on the learning outcome of this study. The literature may change if more relevant studies are published.

Discussion of secondary outcomes

Secondary significant outcomes are compared and contrasted with similar studies.

Limitations, generalizability, bias and strengths

It is a limitation to this study, that an onsite curriculum for a full day is delivered identically online, as this may favour the onsite course due to screen fatigue [ 33 ]. At the same time, it is also a strength that the time schedules are similar in both settings. The offer of coffee, tea, water, and a plain sandwich in the onsite course may better facilitate the possibility for socializing. Another limitation is that the study is performed in Denmark within a specific educational culture, with institutional policies and resources which might affect the outcome and limit generalization to other geographical settings. However, international students are welcome in the class.

In educational interventions it is generally difficult to blind participants and this inherent limitation also applies to this trial [ 11 ]. Thus, the participants are not blinded to their assigned intervention, and neither are the lecturers in the courses. However, the external statistical expert will be blinded when doing the analyses.

We chose to compare in-person onsite setting with a synchronous online setting. Therefore, the online setting cannot be expected to generalize to asynchronous online setting. Asynchronous delivery has in some cases showed positive results and it might be because students could go back and forth through the modules in the interface without time limit [ 11 ].

We will report on all the outcomes defined prior to conducting the study to avoid selective reporting bias.

It is a strength of the study that it seeks to report outcomes within the 1, 2 and 4 levels of the Kirkpatrick conceptual framework, and not solely on level 1. It is also a strength that the study is cluster randomized which will reduce “infections” between the two settings and has an adequate power calculated sample size and looks for a relevant educational difference of 20% between the online and onsite setting.

Perspectives with implications for practice

The results of this study may have implications for the students for which educational setting they choose. Learning and preference results has implications for lecturers, course managers and curriculum developers which setting they should plan for the health and medical education. It may also be of inspiration for teaching and training in other disciplines. From a societal perspective it also has implications because we will know the effect and preferences of online learning in case of a future lock down.

Future research could investigate academic achievements in online and onsite research training on the long run (Kirkpatrick 4); the effect of blended learning versus online or onsite (Kirkpatrick 2); lecturers’ preferences for online and onsite setting within health and medical education (Kirkpatrick 1) and resource use in synchronous and asynchronous online learning (Kirkpatrick 5).

Trial status

This trial collected pilot data from August to September 2021 and opened for inclusion in January 2022. Completion of recruitment is expected in April 2024 and long-term follow-up in April 2026. Protocol version number 1 03.06.2022 with amendments 30.11.2023.

Availability of data and materials

The project leader will have access to the final trial dataset which will be available upon reasonable request. Exception to this is the qualitative raw data that might contain information leading to personal identification.

Abbreviations

Artificial Intelligence

Copenhagen academy for medical education and simulation

Confidence interval

Coronavirus disease

European credit transfer and accumulation system

International committee of medical journal editors

Intrinsic motivation inventory

Multiple choice questionnaire

Doctor of medicine

Masters of sciences

Randomized controlled trial

Scientific ethical committee of the Capital Region of Denmark

WHO Collaborating centre for evidence-based clinical health promotion

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Acknowledgements

We thank the students who make their evaluations available for this trial and MSc (Public Health) Mie Sylow Liljendahl for statistical support.

Open access funding provided by Copenhagen University The Parker Institute, which hosts the WHO CC (DEN-62), receives a core grant from the Oak Foundation (OCAY-18–774-OFIL). The Oak Foundation had no role in the design of the study or in the collection, analysis, and interpretation of the data or in writing the manuscript.

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RR, LK and HT have made substantial contributions to the conception and design of the work; RR to the acquisition of data, and RR, LK and HT to the interpretation of data; RR has drafted the work and RR, LK, and HT have substantively revised it AND approved the submitted version AND agreed to be personally accountable for their own contributions as well as ensuring that any questions which relates to the accuracy or integrity of the work are adequately investigated, resolved and documented.

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The Danish National Committee on Health Research Ethics has assessed the study Journal-nr.:21041907 (Date: 21–09-2021) without objections or comments. The study has been approved by The Danish Data Protection Agency Journal-nr.: P-2022–158 (Date: 04.05.2022).

All PhD students participate after informed consent. They can withdraw from the study at any time without explanations or consequences for their education. They will be offered information of the results at study completion. There are no risks for the course participants as the measurements in the course follow routine procedure and they are not affected by the follow up in Google Scholar. However, the 15 min of filling in the forms may be considered inconvenient.

The project will follow the GDPR and the Joint Regional Information Security Policy. Names and ID numbers are stored on a secure and logged server at the Capital Region Denmark to avoid risk of data leak. All outcomes are part of the routine evaluation at the courses, except the follow up for academic achievement by publications and related indexes. However, the publications are publicly available per se.

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Raffing, R., Konge, L. & Tønnesen, H. Learning effect of online versus onsite education in health and medical scholarship – protocol for a cluster randomized trial. BMC Med Educ 24 , 927 (2024). https://doi.org/10.1186/s12909-024-05915-z

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Received : 25 March 2024

Accepted : 14 August 2024

Published : 26 August 2024

DOI : https://doi.org/10.1186/s12909-024-05915-z

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