is a computer science phd

Computer Science PhD

The Department of Electrical Engineering and Computer Sciences (EECS) offers two graduate programs in Computer Science: the Master of Science (MS), and the Doctor of Philosophy (PhD).

Master of Science (MS)

The Master of Science (MS) emphasizes research preparation and experience and, for most students, is a chance to lay the groundwork for pursuing a PhD.

Doctor of Philosophy (PhD)

The Berkeley PhD in EECS combines coursework and original research with some of the finest EECS faculty in the US, preparing for careers in academia or industry. Our alumni have gone on to hold amazing positions around the world.

Contact Info

[email protected]

215 Cory Hall

Berkeley, CA 94720

At a Glance

Department(s)

Electrical Engineering & Computer Sciences

Admit Term(s)

Application Deadline

December 9, 2024

Degree Type(s)

Doctoral / PhD

Degree Awarded

GRE Requirements

Computer Science

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Computer Science is an area of study within the Harvard John A. Paulson School of Engineering and Applied Sciences. Prospective students apply through Harvard Griffin GSAS; in the online application, select “Engineering and Applied Sciences” as your program choice and select "PhD Computer Science" in the Area of Study menu.

In the Computer Science program, you will learn both the fundamentals of computation and computation’s interaction with the world. Your work will involve a wide range of areas including theoretical computer science, artificial intelligence and machine learning, economics and computer science, privacy and security, data-management systems, intelligent interfaces, operating systems, computer graphics, computational linguistics, robotics, networks, architectures, program languages, and visualization.

You will be involved with researchers in several interdisciplinary initiatives across the University, such as the Center for Research on Computation and Society, the Institute for Applied Computational Science, the Data Science Initiative, and the Berkman Klein Center for Internet and Society.

Examples of projects current and past students have worked on include leveraging machine learning to solve real-world sequential decision-making problems and using artificial intelligence to help conservation and anti-poaching efforts around the world.

Graduates of the program have gone on to a range of careers in industry in companies like Riot Games as game directors and lead scientists at Raytheon. Others have positions in academia at University of Pittsburgh, Columbia, and Stony Brook.

Standardized Tests

GRE General:  Not Accepted

APPLICATION DEADLINE

Questions about the program.

Doctoral Program

The primary focus of the doctoral program is research, with the philosophy that students learn best by doing—beginning as apprentices and becoming junior colleagues working with faculty on scholarly research projects. The faculty in the department conduct research in all areas of computer science. The doctoral degree requires a dissertation based on the candidate’s original research, which is supervised by a faculty member, and all students in the doctioral program are actively engaged in research throughout the program.

The PhD is the Computer Science Department’s primary doctoral program.  PhD students are expected to be full-time on-campus during every fall and spring academic semester from initial enrollment until the dissertation has been distributed to their defense committee, except during leaves of absence approved by the university.  PhD students spend at least half of their time on research under the direction of their faculty adviser from their first day in the program and devote themselves full time to research after coursework and other preliminaries have been completed. PhD students are also expected to participate in departmental and laboratory activities full time throughout the program, except possibly for summer internships elsewhere, and the department does not consider admission of part-time PhD students. The policy on outside activities by PhD students is here .

DEPARTMENTAL INFORMATION FOR DOCTORAL STUDENTS

• Program Requirements
• MS leading to PhD
• Milestones Chart
• Milestones Registration Form: Candidacy, Thesis Proposal, Thesis Defense
• Doctoral Course Import Forms
• Doctoral Algorithms Prerequisite Form
• Data Science Specialization Option  (further details here )

SCHOOL/UNIVERSITY INFORMATION FOR DOCTORAL STUDENTS

• Registration
• SEAS Doctoral Fieldwork (CPT) Policy
• Time-Off Policy for Doctoral Students on Appointment in the Sciences and Related Research Fields

GENERAL DOCTORAL INFORMATION AND ADVICE

• CAREER Club
• Computer Science Open Data
• Computer Science Graduate Job and Interview Guide
• Background in case you ever need to teach online with two days notice
• The Definitive ‘what do I ask/look for’ in a PhD Advisor Guide
• The Thesis Whisperer
• Prem Devanbu’s Review Anti-Patterns
• Computer Science Rankings
• Michael Ernst’s Compilation of Great Advice
• Productivity Tips for PhD Students
• Getting Admitted to a Top PhD Program
• Tips on the Interview Process
• Networking on the network
• Advice on research and writing
• More advice on writing
• Corporate Lab or Academic Department, Which Fits?
• How To Survive A Thesis Defense
• 10 easy ways to fail a PhD
• Dealing with plagiarism
• Academic job site
• Computing Research Association
• IEEE Computer Society

(link suggestions appreciated; send email to [email protected] )

Last updated on July 11, 2024.

Find open faculty positions here .

Computer Science at Columbia University

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Press mentions, dean boyce's statement on amicus brief filed by president bollinger.

President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor

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Ph.D. in Computer Science overview

Looking to make your mark on the computer science community? Our doctoral program prepares students for careers focused on research and innovation. Whether you dream of working in the industry or in academia, a Ph.D. in computer science is the jumping off point for ground breaking discovery.

• General degree information
• Credit Requirements
• Thesis credits
• Things to remember
• Degree Progress

The Ph.D. in Computer Science is a research degree which culminates in a unique dissertation that demonstrates original and creative research. The program consists of three components: coursework, research, and thesis preparation.

Early on in your career as a graduate student, you will take courses to fulfill background, breadth and supporting program requirements. You will also take courses that help to develop and refine your research writing skills; these skills include information analysis and synthesis as well as written and verbal presentation capabilities. This part of your graduate career ends when you cross the threshold presented by the  Preliminary Oral and Written Examinations  (WPE and OPE). Taken in conjunction, these examinations serve as an early test of your research ability.

Once you have passed the WPE and OPE, you will be formally admitted to Ph.D. candidacy and are ready to begin the second phase of your career as a doctoral student. During this phase, your coursework lightens and your research increases as you focus on the definition and pursuit of your specific thesis topic and begin to prepare for your  Thesis Proposal Examination . The Thesis Proposal Examination should be taken 1-2 years after passing the Preliminary Oral Examination and is a presentation pertaining to research directly related to your thesis proposal. This examination will test the full range of your expertise regarding your thesis topic in order to evaluate your preparation for thesis research and the suitability of your thesis research plan.

Once you pass the Thesis Proposal Examination, you will be in the full swing of research. During this stage, you will synthesize all of the skills you have learned up to this point and use them to distill the material that will become the core of your doctoral thesis. Your days and nights will be filled with intense thesis preparation and research into your thesis topic and finally you will produce a complete thesis dissertation document which you will defend orally during your  Final Oral Examination and Thesis Defense .  The successful completion of these activities yields your Doctor of Philosophy (Ph.D.) in Computer Science!

Throughout your career as a doctoral student you will receive support from your Academic Advisor(s), peer and research groups, and the departmental program administrator as well as a number of individuals across campus who work to best facilitate your progress through your degree program. Our primary goal is to make sure that your experience is positive, productive, and prepares you for a successful career beyond the University of Minnesota. The entirety of the Ph.D. process is complex and at times, rife with academic and administrative requirements. If you have questions regarding your individual degree plan, please do not hesitate to reach out to your advisor, the Director of Graduate Studies or the Graduate Program Coordinator for help.

A total of 55 credits are required to complete the Ph.D. in Computer Science. This includes 31 coursework credits and 24 thesis credits with a GPA of 3.45 or higher.

Coursework credits

Each student must complete 31 credits of graduate coursework, including:

• 16 graduate credits from 5xxx or 8xxx courses with a CSCI designator (with a grade of C- or better)
• 15 credits of  breadth courses  (5 courses), at least one from each category.
• 1 credit of CSCI colloquium (CSCI 8970)
• 6 credits of supporting program coursework or 12 credits from a minor program
• CSCI 8001/8002 unless advised otherwise by research advisor (Introduction to Research in Computer Science I and II)
• Other graduate-level credits to reach a total of at least 31 credits which may include related field courses from programs other than CSCI or courses for a graduate minor

Students have eight calendar years to complete their degree per University requirements.

Transfer credits from a previously acquired M.S. degree may apply to your Ph.D. program. Please speak with the Graduate Program Coordinator for information on transfer credit.

Breadth  coursework consists of five (5) courses (typically 15 credits) taken within three (3) subject areas. The breadth requirement exists to help expose the student to diverse computer science research topics and methods. There is 3.45 GPA minimum requirement for this coursework.

Supporting program courses

Supporting program courses are defined as a minimum of six (6) credits from a supporting program outside of the computer science department. These six credits can be a part of the 12 credits counted towards a minor. A minor is optional for the Ph.D. in Computer Science.

Background knowledge

Background knowledge  courses cover concepts that are integral to a minimal core body of knowledge that all computer science Ph.D. students are expected to posses. These concepts are required prerequisites and all students in the Ph.D. program are required to fulfill these background requirements.

In addition to coursework credits, a minimum of 24 thesis credits are required in order to complete the Ph.D. program. These courses may only be taken following the completion of the WPE/OPE and admission of a student to Ph.D. candidacy.

It is the recommendation of the department that you maximize the thesis credits you take each semester and it is our hope that you will complete the thesis credits in two (2) semesters. Most students will be able to take half in one semester and the other half the next semester. If you still have some classes to take, you can register for the class(es) and then register thesis credits for the rest of the credits, up to the maximum allowed each semester of 14 credits total

When you have completed all of your thesis credits, you will be put in a reduced fringe classification, which allows you to only register for one credit, CSCI 8444 which is designated as the Ph.D. full-time equivalent credit. This credit gives you full-time status for your visa requirements for international students and also full-time status if you hold a graduate assistantship. Your assistantship will only pay for one credit, so if you take any additional credits after you have completed all of your thesis credits, the tuition for those credits will be your responsibility.

For international students who wish to do CPT during the summer and to register for CPT in the fall, you should not register for CSCI 8444 but instead request a reduced course  load  and submit to ISSS. For those who hold an assistantship, you must also submit a  Special Graduate Assistant Registration Tuition Benefits Status Request  form. This form must be submitted before the semester begins and is to be signed by your advisor, your employer (your advisor if an RA, by the DGS if TA) and then by the DGS. It should be submitted to the office and we will make sure it has the DGS signature and then fax it to the Grad Assistant Office. If you have any questions about the distribution of course and thesis credits over your career, please be sure to discuss with the Graduate Program Coordinator.

• Students who take six (6) credits or more are considered full-time graduate students.  All international students and students who hold a graduate assistantship, fellowship, or traineeship are required to be full-time students .
• Almost all of the graduate level courses in computer science (5000 level and above) are 3 credits each.
• Special topics courses (CSCI 5980 or 8980) are courses taught one time only and are good options if the topic is of interest to you. However, please note that these do not count towards breadth requirements.
• All computer science courses must be taken A/F (unless only offered S/N, such as colloquium or plan B project), and no more than one-third of the courses that will count towards your degree can be taken on the S/N basis.
• Students must maintain a minimum GPA of 3.45 for courses counting towards your degree and no courses with a grade below a C- can be included.
• Students in the Doctoral program can use a maximum six (6) credits of directed research or independent study for elective credits. This is defined as CSCI 5991/5994/8991/8994

All requirements for the doctoral degree must be completed and the degree awarded within  five calendar years after passing the preliminary oral examination . Graduate School policy dictates a departmental  annual review  of Ph.D. progress for all students. Each fall, computer science Ph.D. students will be required to complete an annual review form. This form is used by the student’s research advisor to note student progress through the program. All forms are reviewed by the Director of Graduate Studies for satisfactory progress. Progress Guidelines are available in Appendix A of the Graduate Student Handbook.

The Graduate Program Coordinator can answer most questions and advise students on degree requirements, department procedures, or general issues about being a graduate student. All new students are expected to meet with her upon arrival as well as several times throughout your graduate career in order to best facilitate your program.

The Director of Graduate Studies is the official advisor of record for all students, unless an advisor was assigned at the time of admission. Only  faculty with graduate education responsibilities  are eligible to serve as advisors for graduate students. The advisor-advisee relationship is a mutual and an advisor must agree to advise any student. Once a student determines his or her advisor they will fill out a  Declaration of Advisor  form. A student may change advisors at any time using the same form. Please note that the new and the previous advisor must sign to acknowledge this change.

Most Ph.D. students have been assigned advisors in their field of interest at the time of entry into the university. Students are encouraged to talk to their assigned advisor as well as other faculty members in their interest area to determine if their assigned advisor is best suited to their research goals. It is not uncommon to discover that your permanent research advisor is different from your pre-assigned one. You are expected to take some time to look around, talk with professors and other graduate students, and then talk with your prospective advisor.  We expect you to find an advisor by the end of your first year in the program.  Advising is a mutually voluntary arrangement. You never will be obligated to work with someone against your choice, and no faculty member is obligated to take on any particular student.

For questions regarding the advising process please contact the Director of Graduate Studies.

Mohamed F. Mokbel

Director of Graduate Studies

4-207 Keller Hall [email protected]

Joseph Nieszner

Senior Graduate Program Coordinator

330G Lind Hall [email protected]   [email protected]

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Doctoral Degree in Computer Science

Carnegie Mellon's Ph.D. in Computer Science is, above all, a research degree. When the faculty award a Ph.D., they certify that the student has a broad foundation and awareness of core concepts in computer science, has advanced the field by performing significant original research and has reported that work in a scholarly fashion.

When you begin our Ph.D. program, you’ll take the Introductory Course for Doctoral Students — an intense two week program that orients you to the department, introduces you to research and education topics our faculty are interested in, helps you find a faculty advisor and familiarizes you with Carnegie Mellon’s resources. Next, you’ll gain a broad understanding of fundamental research issues in major areas of computer science through coursework and original research. Finally, you’ll write and orally defend a thesis that guarantees you understand the area well enough to advance the state of knowledge in the field.

During the first two years of the program, you’ll gain the foundation of knowledge that will allow you to become an expert researcher in computer science, primarily by

• Mastering a body of graduate material, achieved by passing 96 university units worth of graduate courses (equivalent to eight full-time courses).
• Learning how to organize and begin to carry out original research, achieved by participating in directed research.

You will also serve as a teaching assistant, hone your writing and speaking skills and maintain your programming prowess. You’ll also receive periodic evaluation of your progress, and must make satisfactory progress to continue in the program.

Time Commitment:

As a Ph.D. student in computer science at CMU, you'll spend roughly five years acquiring a body of technical knowledge that includes a familiarity with the breadth of the field, as well as a deep understanding of your research area. From your second month in the program, you'll work closely with your faculty advisor, who is charged with guiding your education and monitoring your progress through the program. You'll take courses, teach and perform directed research — all to ensure that you leave Carnegie Mellon as an expert in your field. For a complete breakdown of our program requirements, read our Ph.D. Handbook .

Financial Information:

The Computer Science Department offers all Ph.D. students full financial support while they are in good academic standing in their respective programs. To learn more about Ph.D. funding, visit the SCS  Doctoral Programs  webpage.

Graduate Tuition: https://www.cmu.edu/sfs/tuition/graduate/scs.html

Student Fees: https://www.cmu.edu/sfs/tuition/fees/index.html

Carnegie Mellon Graduate Student Financial Aid: https://www.cmu.edu/sfs/financial-aid/graduate/index.html

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Computer Science Ph.D. Program

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The Cornell Ph.D. program in computer science is consistently ranked among the top six departments in the country, with world-class research covering all of computer science. Our computer science program is distinguished by the excellence of the faculty, by a long tradition of pioneering research, and by the breadth of its Ph.D. program. Faculty and Ph.D. students are located both in Ithaca and in New York City at the Cornell Tech campus . The Field of Computer Science also includes faculty members from other departments (Electrical Engineering, Information Science, Applied Math, Mathematics, Operations Research and Industrial Engineering, Mechanical and Aerospace Engineering, Computational Biology, and Architecture) who can supervise a student's Ph.D. thesis research in computer science.

Over the past years we've increased our strength in areas such as artificial intelligence, computer graphics, systems, security, machine learning, and digital libraries, while maintaining our depth in traditional areas such as theory, programming languages and scientific computing.  You can find out more about our research here . 

The department provides an exceptionally open and friendly atmosphere that encourages the sharing of ideas across all areas. 

Cornell is located in the heart of the Finger Lakes region. This beautiful area provides many opportunities for recreational activities such as sailing, windsurfing, canoeing, kayaking, both downhill and cross-country skiing, ice skating, rock climbing, hiking, camping, and brewery/cider/wine-tasting. In fact, Cornell offers courses in all of these activities.

The Cornell Tech campus in New York City is located on Roosevelt Island.  Cornell Tech  is a graduate school conceived and implemented expressly to integrate the study of technology with business, law, and design. There are now over a half-dozen masters programs on offer as well as doctoral studies.

FAQ with more information about the two campuses .

Ph.D. Program Structure

Each year, about 30-40 new Ph.D. students join the department. During the first two semesters, students become familiar with the faculty members and their areas of research by taking graduate courses, attending research seminars, and participating in research projects. By the end of the first year, each student selects a specific area and forms a committee based on the student's research interests. This “Special Committee” of three or more faculty members will guide the student through to a Ph.D. dissertation. Ph.D. students that decide to work with a faculty member based at Cornell Tech typically move to New York City after a year in Ithaca.

The Field believes that certain areas are so fundamental to Computer Science that all students should be competent in them. Ph.D. candidates are expected to demonstrate competency in four areas of computer science at the high undergraduate level: theory, programming languages, systems, and artificial intelligence.

Each student then focuses on a specific topic of research and begins a preliminary investigation of that topic. The initial results are presented during a comprehensive oral evaluation, which is administered by the members of the student's Special Committee. The objective of this examination, usually taken in the third year, is to evaluate a student's ability to undertake original research at the Ph.D. level.

The final oral examination, a public defense of the dissertation, is taken before the Special Committee.

To encourage students to explore areas other than Computer Science, the department requires that students complete an outside minor. Cornell offers almost 90 fields from which a minor can be chosen. Some students elect to minor in related fields such as Applied Mathematics, Information Science, Electrical Engineering, or Operations Research. Others use this opportunity to pursue interests as diverse as Music, Theater, Psychology, Women's Studies, Philosophy, and Finance.

The computer science Ph.D. program complies with the requirements of the Cornell Graduate School , which include requirements on residency, minimum grades, examinations, and dissertation.

The Department also administers a very small 2-year Master of Science program (with thesis). Students in this program serve as teaching assistants and receive full tuition plus a stipend for their services.

Doctorate in Computer Science Overview

Are you ready to discover your college program?

Doctoral programs offer focused, advanced training in computer science subfields, opening the door to employment in academia and research.

A Ph.D. in computer science provides graduate-level training for leadership roles in tech, business, and academia. Computer scientists with doctorates can also work in software engineering , artificial intelligence, and data analytics.

A doctoral degree in computer science may not be the right path for everyone, but some high-level roles require a doctorate in the field. This guide provides an introduction to the expectations of computer science Ph.D. program, common doctoral concentrations, and the job outlook for individuals with doctorates in computer science.

What Is a Doctorate in Computer Science?

A Ph.D. is the highest degree in computer science . Doctoral students focus their training in particular specialty areas, conduct research with faculty advisors, and defend dissertations. Earning a doctorate in computer science takes 4-5 years. After completing their degrees, graduates commonly work in tech, biomedicine, business, and academia.

Computer science doctoral students strengthen their problem-solving, analytical, and research abilities. The degree requires exceptional computing and technology skills. Related programs with slightly different focus areas include computer engineering and computer information systems .

Who Should Pursue a Computer Science Ph.D.?

Doctoral programs require a significant commitment of time and effort. Most Ph.D. computer science programs take around five years, and some career paths, including academia, offer lower salaries than private sector jobs. Before applying to doctoral degrees, candidates should make sure their professional goals and personal attributes fit their prospective programs.

A Ph.D. in computer science trains graduate students for research-heavy and academic positions. Doctoral graduates can work as computer science professors, computer and information research scientists, and senior computer scientists.

Many tech careers do not require a Ph.D. in computer science. Consider other professional paths like computer engineering , web development , and software engineering .

What Are the Job Opportunities After a Ph.D. in Computer Science?

Computer and information technology jobs report faster-than-average projected job growth rates and significantly above-average median annual wages, according to data from the Bureau of Labor Statistics . In May 2020, tech jobs paid more than double the national median annual wage.

As a result, computer science careers offer a strong job outlook, and an advanced degree in computer science often yields greater responsibilities and higher earning potential. Professionals with Ph.D. degrees in computer science can move into academic, research, and leadership positions.

Computer and Information Research Scientists

Postsecondary teacher, how much does a ph.d. in computer science make.

Computer science professionals earn a range of salaries depending on their career paths and industries. Doctoral degree-holders commonly work as computer and information research scientists, senior software engineers, computer science managers, chief technology officers, and computer science professors.

Professionals with Ph.D. degrees in computer science can earn median salaries between $85,000-$127,000 per year. The table below introduces common career paths, median salary data, and projected job growth.

$126,830 Median Salary

15% Job Growth (2019-2029)

Source: BLS

Postsecondary Computer Science Teachers

$85,540 Median Salary

3% Job Growth (2019-2029)

— Is It Worth Getting a Ph.D. in Computer Science?

Computer science professionals with Ph.D. degrees earn high salaries and qualify for academic and research roles that either require or prefer a doctorate. When weighing whether a computer science Ph.D. makes sense, prospective students should consider whether their career goals require a doctorate.

Other factors to consider include opportunity cost, actual cost, and potential outcomes after completing a Ph.D. Is a Ph.D. in computer science worth it? The answer depends on each person’s unique circumstances.

Financial Considerations of a Ph.D. in Computer Science

Earning a doctorate often means spending several years out of the workforce. Does it make financial sense for tech professionals to pursue Ph.D. degrees? A doctorate opens doors for high-paying careers as computer scientists, computer science professors, and chief technology officers.

Prospective students can lower the cost of their degree by applying for scholarships and researching fellowship and assistantship opportunities. An online Ph.D. program may offer greater flexibility for professionals who want to continue working while earning their degrees.

Admission Requirements for a Computer Science Ph.D.

Prospective Ph.D. computer science students must meet several admission requirements. At most universities, each candidate needs a minimum of a bachelor’s degree in computer science or a related field. The most competitive programs may recommend a master’s degree in computer science .

Each applicant typically submits their GRE scores, letters of recommendation, a resume, and a statement of purpose. International applicants generally need Test of English as a Foreign Language (TOEFL) or other English language proficiency exam scores. Because admission requirements vary by university, applicants should carefully review the process at each prospective school.

What Is Required for a Ph.D. in Computer Science?

Which country is best for pursuing a ph.d. in computer science.

Universities around the world offer Ph.D. in computer science programs. Where should prospective doctoral students earn their degrees? The answer depends on several factors, including location, career goals, and specialization.

Computer scientists interested in working internationally may benefit from earning degrees in the country where they plan to work, while American computer science programs may offer stronger domestic networking and career possibilities.

What to Expect in a Doctoral Program in Computer Science

Computer science Ph.D. programs prepare graduates for advanced roles. During their first year, Ph.D. students often complete required courses that provide in-depth knowledge of advanced computer science theories and applications.

Common graduate-level computer science courses cover computer systems, machine learning, databases, artificial intelligence, and data visualization. Some programs allow students to test out of core course requirements if they demonstrate graduate-level experience.

In addition to coursework, doctoral students must pass comprehensive examinations to demonstrate their mastery of computer science and move into the candidacy phase of their degrees. As doctoral candidates, they conduct dissertation research under faculty advisor supervision. A doctoral candidate completes their Ph.D. after defending their dissertation before a faculty committee.

Some programs also incorporate teaching experience or an internship. Graduate teaching assistants help professors with grading or leading discussion sections. A computer science internship builds real-world skills and helps doctoral candidates expand their professional networks.

How Long Is a Ph.D. in Computer Science?

A graduate student typically spends 4-5 years earning a Ph.D. in computer science. During that time, they complete coursework, pass comprehensive examinations, and conduct dissertation research. At the conclusion of the program, doctoral candidates defend their dissertations.

Most computer science programs operate full time, but many also offer part-time enrollment options. In a part-time program, students take a lower course load and may spend several additional years earning their degrees.

Computer Science Concentrations

During a computer science Ph.D., doctoral students choose concentrations to focus their studies. This specialization shapes their coursework requirements, choice of faculty advisor, and the material covered on comprehensive exams. In addition to the common computer science concentrations listed below, doctoral students can design custom concentrations based on their interests and career goals.

Algorithmic Fairness and Data Privacy

Algorithms aggregate data about people’s lives. In this concentration, doctoral candidates examine the intersection between algorithms as tools and the role of fairness and data privacy.

Artificial Intelligence

Enrollees in this focus explore deep learning, natural language processing, and machine learning. The concentration may include AI in robotics or data analytics coursework.

Computational Biology and Biomedical Informatics

A computational biology or biomedical informatics concentration uses computer science to improve medical outcomes, analyze biological data, and engineer medical technologies. This track requires a strong background in algorithms and machine learning.

Computer Architecture

Computer architecture explores the intersection between software and hardware systems. Doctoral candidates examine advanced theoretical approaches to computer and network architecture, including memory management and data output.

Computer Graphics, Animation, and Computational Physics

Computer animation relies on advanced knowledge of computational physics to simulate motion and model shapes. This concentration focuses on graphics and animation skills that require advanced computer science techniques.

Programming Languages and Logics

Computer science researchers develop new programming languages. In this concentration, doctoral students examine the structure and logic behind programming languages to improve existing languages or create new ones.

Software Systems

A software systems concentration prepares graduates for advanced positions in software development, including academia and applied roles. This track emphasizes software systems techniques and practical applications of computing systems.

Accreditation for Computer Science Programs

Prospective computer science Ph.D. students should research program and college accreditation when considering computer science degrees. Accredited colleges meet high standards for educating students and granting degrees. An accredited degree fulfills the requirements for professional licenses and certifications.

In addition to college accreditation, the top computer science programs hold accreditation from programmatic accrediting agencies. These agencies evaluate computer science programs on their faculty qualifications, student learning outcomes, and degree requirements. The Accreditation Board for Engineering and Technology grants accreditation to computer science programs.

Interview With an Expert

Dr. Siming Liu is an assistant professor in the Department of Computer Science at Missouri State University . He obtained his Ph.D. in artificial intelligence in games at the University of Nevada, Reno in 2015. The focus of Dr. Liu’s scientific curiosity is in computational intelligence, artificial intelligence, and machine learning, with applications in computer games and simulations. He is currently working on using reinforcement learning and evolutionary algorithms to build AI players for a variety of games (real-time strategy games, puzzle games, fighting games, racing games, sandbox games, etc).

Where did you get your Ph.D. in computer science?

I received my Ph.D. in computer science from the University of Nevada, Reno in 2015.

Why did you choose to study computer science?

When I was in middle school back in the early ’90s, I was attracted to computers, where we could create virtual worlds and interact with the characters in these worlds through keyboard and mouse. I then decided to choose computer science as my major in college.

What did you specialize in?

I specialize in artificial intelligence, computational intelligence, machine learning, and optimizations.

What do you do for a career now?

I’m currently an assistant professor in the Department of Computer Science at Missouri State University. I work with graduate and undergraduate students on a variety of research projects in the field of constructing AI players to compete with human players and other AI players on different games and simulations. My long-term career goal is to be a successful researcher and educator at Missouri State.

What advice do you have for someone considering pursuing a Ph.D. in computer science?

For someone interested in a Ph.D. in computer science, I would say a Ph.D. can be extremely rewarding and a lot of fun, but it also means a great deal of dedication and hard work for a long duration. Unless you have a strong passion for the problems you are working on, you will not finish the Ph.D.

If you decide to apply to a Ph.D. program, I would recommend you to look into different universities and different Ph.D. advisors — their current research projects and their recent publications — before applying. Carefully review the Ph.D. advisors whose research topics interest you the most and contact them before you apply in order to introduce yourself and show your enthusiasm for the research.

Frequently Asked Questions

Is it worth getting a ph.d. in computer science.

A Ph.D. program can open new pathways and career advancement for roles in academia, research, and leadership. However, it depends on your career goals.

Professionals with computer science Ph.D. degrees earn above-average salaries. In 2020, computer and information research scientists reported a median salary of over $126,000 .

Each applicant needs a bachelor’s or master’s degree to gain admission to a Ph.D. program. Doctoral students must take courses, pass comprehensive exams, and defend dissertations.

Genevieve Carlton holds a Ph.D. in history from Northwestern University. After earning her doctorate in early modern European history, Carlton worked as an assistant professor of history at the University of Louisville, where she developed new courses on the history of science, Renaissance Italy, and the witch trials. Carlton has published five peer-reviewed articles in top presses and a monograph with the University of Chicago Press. She also earned tenure with a unanimous vote before relocating to Seattle. Learn more about Carlton’s work at genevievecarlton.com .

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Carnegie Mellon University School of Computer Science

Doctoral programs.

In any of the Ph.D. programs across our seven departments, you'll be matched with an advisor based primarily on mutual research interests and begin a research project on day one. All our Ph.D. students receive full financial support while in good academic standing, which helps ensure freedom to explore regardless of funding hurdles. We also believe that it's vital for advisors and students to work as peers, and the inherent flexibility of our programs means students often work with more than one faculty member and many other students during their time in SCS.

Together, our research environment and interdisciplinary mindset produce graduates who emerge into the world ready to tackle its biggest problems.

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Ray and stephanie lane computational biology department, computer science department, human-computer interaction institute.

Ph.D. in Human-Computer Interaction

Language Technologies Institute

Ph.D. in Language and Information Technologies

Machine Learning Department

Robotics institute.

Ph.D. in Robotics

Software and Societal Systems Department

Ph.D. in Societal Computing (SC) Ph.D. in Software Engineering (SE)

Dual Degree Ph.D. Programs

The carnegie mellon portugal program (cmu portugal), ph.d. in computer science/dual degree portugal, ph.d. in human-computer interaction/dual degree portugal, ph.d. in language and information technologies/dual degree portugal, ph.d. in robotics/dual degree portugal, ph.d. in societal computing/dual degree portugal, ph.d. in software engineering/dual degree portugal.

CS PhD Course Guidelines

The following program guidelines (a.k.a model pogram) serve as a starting point for a discussion with the faculty about areas of interest.   This description of the Computer Science PhD course guidelines augments the school-wide  PhD course requirements .   Students should make themselves familiar with both.

Starting in 2024-2025, Computer Science courses that previously had 3-digit course numbers now have 4-digit numbers.  The SEAS 4-year course planner tool shows both previous and current numbers for each course.  In general, where this documentation mentions a "middle digit", it now should be read as referring to the "second digit".

Course Guidelines for Ph.D. Students in Computer Science

We expect students to obtain broad knowledge of computer science by taking graduate level courses in a variety of sub-areas in computer science, such as systems, networking, databases, algorithms, complexity, hardware, human-computer interaction, graphics, or programming languages.

Within our school, CS courses are roughly organized according to sub-area by their middle digit, so we expect students to take courses in a minimum of three distinct sub-areas, one of which should be theory (denoted by the middle digit of 2, or CS 231.  Note that CS 2281r is an exception; it is not a theory course). Theory is specifically required as we expect all students to obtain some background in the mathematical foundations that underlie computer science. The intention is not only to give breadth to students, but to ensure cross-fertilization across different sub-disciplines in Computer Science.

Just as we expect all students obtaining a Ph.D. to have experience with the theoretical foundations of computer science, we expect all students to have some knowledge of how to build large software or hardware systems , on the order of thousands of lines of code, or the equivalent complexity in hardware. That experience may be evidenced by coursework or by a project submitted to the CHD for examination. In almost all cases a course numbered CS 26x or CS 24x will satisfy the requirement (exceptions will be noted in the course description on my.harvard). Students may also petition to use CS 161 for this requirement.   For projects in other courses, research projects, or projects done in internships the student is expected to write a note explaining the project, include a link to any relevant artifacts or outcomes, describe the student's individual contribution, and where appropriate obtain a note from their advisor, their class instructor, or their supervisors confirming their contributions.  The project must include learning about systems concepts, and not just writing many lines of code.   Students hoping to invoke the non-CS24x/26x/161 option must consult with  Prof. Mickens ,  Prof, Kung,  or  Prof. Idreos  well in advance of submitting their Program Plan to the CHD.  

Computer science is an applied science, with connections to many fields. Learning about and connecting computer science to other fields is a key part of an advanced education in computer science. These connections may introduce relevant background, or they may provide an outlet for developing new applications.

For example, mathematics courses may be appropriate for someone working in theory, linguistics courses may be appropriate for someone working in computational linguistics, economics courses may be appropriate for those working in algorithmic economics, electrical engineering courses may be appropriate for those working in circuit design, and design courses may be appropriate for someone working in user interfaces.

Requirements

The Graduate School of Arts & Sciences (GSAS) requires all Ph.D. students to complete 16 half-courses (“courses”, i.e., for 4 units of credit) to complete their degree. Of those 16 courses, a Ph.D. in Computer Science requires 10 letter-graded courses. (The remaining 6 courses are often 300-level research courses or other undergraduate or graduate coursework beyond the 10 required courses.)

The requirements for the 10 letter-graded courses are as follows:

• Of the 7 technical courses, at least 3 must be 200-level Computer Science courses, with 3 different middle digits (from the set 2,3,4,5,6,7,8), and with one of these three courses either having a middle digit of 2 or being CS 231 (i.e., a “theory” course; note that CS 2281r is an exception and is not a theory course).   Note that CS courses with a middle digit of 0 are valid technical courses, but do not contribute to the breadth requirement.
• At least 5 of the 8 disciplinary courses must be SEAS or SEAS-equivalent 200-level courses. A “SEAS equivalent” course is a course taught by a SEAS faculty member in another FAS department. 
• For any MIT course taken, the student must provide justification why the MIT course is necessary (i.e. SEAS does not offer the topic, the SEAS course has not been offered in recent years, etc.). MIT courses do not count as part of the 5 200-level SEAS/SEAS-equivalent courses. 
• 2 of the 10 courses must constitute an external minor (referred to as "breadth" courses in the SEAS “ Policies of the Committee on Higher Degrees [CHD] ”) in an area outside of computer science. These courses should be clearly related; generally, this will mean the two courses are in the same discipline, although this is not mandatory. These courses must be distinct from the 8 disciplinary courses referenced above.
• Students must demonstrate practical competence by building a large software or hardware system during the course of their graduate studies. This requirement will generally be met through a class project, but it can also be met through work done in the course of a summer internship, or in the course of research.
• In particular, for Computer Science graduate degrees, Applied Computation courses may be counted as 100-level courses, not 200-level courses.
• Up to 2 of the 10 courses can be 299r courses, but only 1 of the up to 2 allowed 299r courses can count toward the 8 disciplinary courses. 299r courses do not count toward the 5 200-level SEAS/SEAS-equivalent courses. If two 299r’s are taken, they can be with the same faculty but the topics must be sufficiently different.
• A maximum of 3 graduate-level transfer classes are allowed to count towards the 10 course requirement.
• All CS Ph.D. program plans must adhere to the SEAS-wide Ph.D. requirements, which are stated in the SEAS Policies of the Committee on Higher Degrees (CHD) . These SEAS-wide requirements are included in the items listed above, though students are encouraged to read the CHD document if there are questions, as the CHD document provides further explanation/detail on several of the items above.
• All program plans must be approved by the CHD. Exceptions to any of these requirements require a detailed written explanation of the reasoning for the exception from the student and the student’s research advisor. Exceptions can only be approved by the CHD, and generally exceptions will only be given for unusual circumstances specific to the student’s research program.

Requirement Notes

• Courses below the 100-level are not suitable for graduate credit.
• For students who were required to take it, CS 2091/2092 (formerly CS 290a/b or 290hfa/hfb may be included as one of the 10 courses but it does not count toward the 200-level CS or SEAS/SEAS-equivalent course requirements nor toward the SM en route to the PhD.

Your program plan  must always comply  with both our school's General Requirements, in addition to complying with the specific requirements for Computer Science. All program plans must be approved by the Committee on Higher Degrees [CHD]. Exceptions to the requirements can only be approved by the CHD, and generally will only be given for unusual circumstances specific to the student’s research program

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PhD in Computer Science

The PhD in Computer Science program provides students with the advanced coursework and groundbreaking research opportunities they need to contribute at the forefront of the world’s fastest-growing fields. Forging knowledge in 15 core areas like artificial intelligence, data science, programming languages, and human-centered computing, you’ll gain significant expertise in conducting and presenting the results of your research. Ultimately, you’ll produce and defend original work that contributes to critical discourse in your chosen area.

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Khoury College doctorate students gain deep knowledge and invaluable experience—preparing you for a research career in academia or industry.

Khoury Computer Science PhD graduates have found prestigious positions across industry and academia.

Tenure-track faculty:

• University of Michigan, Ann Arbor
• University of British Columbia (UBC)
• Indiana University
• University of Maryland
• University College London
• NC State University
• UMass Boston
• City University of Hong Kong

Postdoc research scientists:

• University of Paris
• Virginia Tech
• Microsoft Research
• GE Global Research

Senior software engineers and industry leaders:

Students graduating with a PhD in Computer Science will:

• Gain a broad understanding of computer science fundamentals, spanning a substantial portion of the following core areas: artificial intelligence and data science, human-centered computing, software, systems, and theory
• Gain significant expertise in at least one research area in computer science
• Produce and defend original research in an area of computer science
• Be able to communicate research results effectively in both oral and written forms

Our flagship campus in Boston is just minutes away from esteemed universities, exciting start-ups, and leaders in tech, finance, health care, and more.

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Ph.D. in Computer Science

Please visit the UVA Graduate Record webpage for Ph.D. degree requirements. 

Application Requirements

Computer science background requirements.

The Department of Computer Science does not require that applicants hold a bachelor's degree in Computer Science. However, applicants are expected to have a strong background in Computer Science. A suitable background would include courses in the following core areas:

• Data Structures
• Discrete Mathematics
• Assembly Language and Computer Organization
• Programming in a procedural language such as C, C#, C++, or Java.

Applicants are also expected to have taken several (but not necessarily all) courses in specialized areas:

• Operating Systems
• Programming Languages
• Artificial Intelligence
• Computer Networks
• Automata and Formal Languages
• Software Engineering

A year of college-level Calculus is also required. In general, experience gained working is not considered equivalent to successful completion of the courses listed above.

Grade Point Average

There is no minimum GPA required for admission. However, most applicants who are offered admission to our program have a GPA of at least 3.3 (out of 4.0). The grades in Computer Science, mathematics and related courses are more important than the overall GPA.

GRE scores are optional. 

Letters of Reference

If possible, letters of references should be written by faculty at a university previously attended. Letters of reference from Computer Science faculty are preferred, but references from employers are welcome. References should pay particular attention to academic achievements and evidence of independent, creative problem solving.

TOEFL/IELTS Scores

• If you are a permanent resident of the U.S., TOEFL is not required
• If you received a 4-year degree at an English-speaking institution (whether or not the institution is in the U.S.), TOEFL/IELTS is not required.
• If you received a 4-year degree at a non -English-speaking institution and a Master's degree from an English-speaking institution, TOEFL/IELTS is required. 
• Note that if you have a solid command of written and spoken English, TOEFL/IELTS waivers are possible! Contact via email,  [email protected] , explaining why you believe TOEFL/IELTS can be waived (include evidence such as verification of duties as a Teaching Assistant that required significant interactions in English, copies of expired TOEFL/IELTS scores, presentations at conferences in English, etc.). 

It is unusual that we offer admission to an applicant with an overall TOEFL score below 90 / IELTS below 6.5. Scores can be sent electronically to UVa at institution code B875. Some students with lower scores may be required to complete the UVA Summer English for Academic Purposes Program prior to admission.

Application Evaluation

Applications are evaluated based on the following factors:

• Background in Computer Science (including project work)
• Grade Point Average (GPA)
• Graduate Record Examination (GRE)
• Letters of reference
• Personal statement
• TOEFL/IELTS scores

Applications are evaluated in their entirety. A weakness in one factor might be mitigated by strength in another.

Financial Aid / Tuition 

Occasionally, the school of Engineering offers Master Fellowships. More information can be found on the Engineering Cost Aid webpage: https://engineering.virginia.edu/future-grads/graduate-admissions/cost-aid , and you can learn more about UVA Fellowships here: https://citizenscholars.virginia.edu/fellowships  

PhD students are usually admitted with a financial aid package in the form of a First-Year Research Assistantship that allows students to explore research with various faculty members and find their best match. It is expected that students will join a research group by the end of their first year and then be supported as a Research Assistant (RA). This financial aid package includes a competitive stipend, tuition, fees, and health insurance coverage. Details of this award are given at the time of your notification of acceptance into the Computer Science PhD program.  

You are encouraged to apply to outside sources for fellowships or you can apply for federal assistance by filling out a Free Application for Federal Student Aid .

The UVA Tuition and Fees page includes the costs per academic year by school. 

CS Admissions Frequently Asked Questions (FAQs)

How do i apply.

Please visit this Web page to apply.

When is the application deadline?

See details in the section above (Admissions).

How much does it cost to apply? Can this fee be waived?

Visit this UVA Engineering FAQ page for details on the cost to apply, and learn if your fee can be waived.

Is the TOEFL/IELTS required?

International students must have an outstanding command of the English language in order to enroll at the University of Virginia. The TOEFL/IELTS exam is required of all applicants if the language first learned and spoken in the home is not English, and they are not permanent residents. However, TOEFL/IELTS is not required if the applicant has received a 4-year degree at an English-speaking institution (whether or not the institution is in the U.S.). (If the applicant has a 4-year degree from a non-English-speaking institution and a Master's degree from an English-speaking institution, TOEFL/IELTS is still required.) It is unusual that we offer admission to an applicant with an overall TOEFL score below 90 / IELTS below 6.5. 

I scored less than 22 on the Speaking section of TOEFL. Can I still apply?

We review all applications thoroughly, along a number of dimensions. It is unusual that we offer admission to an applicant with an overall TOEFL score below 90/ IELTS score of 6.5.

Where do I send my GRE and/or TOEFL/IELTS scores?

The Institution code for School of Engineering and Applied Science of the University of Virginia for the GRE is 5820. The code for TOEFL is  B875. There is not a specific code for the Department of Computer Science.

I'm taking TOEFL/IELTS or GRE after your deadline (Dec 15). If I apply will these scores make it into my application and be seen by the admissions committee?

We will start evaluating applications soon after the Dec 15 deadline. Applicants should submit the most complete application they can, based on the information they have at the time (e.g., current test scores, even if new test scores are anticipated).Those applications that are complete will be considered first. We will continue to evaluate applications into early next year, until we have completed our offers. As we are reviewing applications, we will certainly consider updated scores as the arrive at the University of Virginia. There is no need to email us to tell us that new scores are being sent.

Should I mail or should I upload my materials with my application?

We strongly discourage applicants from mailing in any items that can be uploaded to avoid delays in your application review, and we ask that you not send duplicate copies of previously uploaded documents. If you still need to mail documents to our office, please send them to: For US Postal: Graduate School of Engineering and Applied Science Admissions P.O. Box 401103 Charlottesville, VA 22904 For UPS/FEDEX:      Graduate School of Engineering and Applied Science Admissions      1001 Emmet Street North      Room 209B Carruthers Hall      Charlottesville, VA 22903

I’ve submitted my application and all supporting materials. Why does my application status still show as incomplete?

We will fully review your application with unofficial test scores and unofficial transcripts. Your application will only show as "complete" when your application has been submitted, your official scores and transcripts have been received and all three letters of recommendations have been received. An application is complete for review with unofficial transcripts and self-reported scores, though the checklist will still show incomplete. Please note that all official transcripts are received in our main admissions office and scanned or entered into our system manually. If you feel that your materials should have been received by now, but are NOT showing up when you login to your account, please note that the Graduate Admissions Office processes a very large number of applications and it may take longer than expected for your documents/information to appear online (in your account). It is very likely that your materials have been received, but have not been loaded into our application system yet.

If I email you my information (e.g., GPA, GRE scores, etc.) before I apply, can you tell me the chance of being accepted?

The graduate admissions committee considers many factors in an application, including more than just GPA and test scores. In particular, letters of reference and your personal statement are extremely important. Therefore, we are unfortunately unable to provide any information before the committee considers your full application.

I still have other questions. Is there anyone available to help me?

Yes! For program/degree specific questions, please send an email to [email protected]. For application support and specific questions regarding the application process, please contact: Central Graduate Admissions [email protected] 434-243-0209

The information contained on this website is for informational purposes only.  The Undergraduate Record and Graduate Record represent the official repository for academic program requirements. These publications may be found here .

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PhD Program

We are proud of the quality of PhD students we attract and the training they receive. All of our students receive support, including an annual stipend, in the form of external and internal competitive fellowships, research fellowships, or teaching fellowships. As a PhD candidate, you will share in the excitement of discovery as you collaborate with our faculty on cutting-edge research . You will also acquire strong independent research skills and begin to develop your own reputation as a member of the research community.

Because the advisor-graduate relationship is the cornerstone of a successful PhD experience, all new PhD candidates are carefully matched with faculty advisors based on mutual research interests. In addition, an active three-person PhD committee is created for each PhD student to provide cogent advice throughout your degree program.

You will find the work here challenging and personally rewarding. Students who complete our PhD program are well-prepared for careers in academia, research, government, and industry. Please visit the Graduate Admissions information page  for application requirements, deadlines, and other important information.

Application Deadlines:

• The PhD deadline for fall is December 15th. (No recruiting for spring admissions.)
• The application will be available for submission on or around August 15.

To learn more about the PhD admissions process, please visit our PhD Admissions FAQ page .

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Learn more about the graduate admissions process and start your application.

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Fall 2023 or Later

These guidelines apply to students who started the PhD program in the Fall 2023 or Later. For earlier guidelines, please see Fall 2015 to Spring 2023 guidelines .

For a breakdown of CS PhD program milestones, please see Ph.D. Milestones for Computer Science students .

1. Introduction

The PhD degree at the USC Computer Science department prepares students for a career in research. The goal of the program is to nurture talented minds via research and formal coursework, to produce future thought leaders in computer science. The program accepts students who have completed a four-year Bachelor's degree in a relevant field; a Master’s degree is not a requirement for entry. Once admitted to the program, a student must complete a set of requirements to graduate with the PhD degree. These requirements are described next.

2. Unit Requirements

A student is required to complete a total of at least 60 units, at least 40 of which must be at the 500 level or above (beyond the bachelor’s degree and including the required courses as listed in the requirements below). A student must maintain a 3.0 GPA to remain in good academic standing.

3. Course Requirement

Mandatory courses: Each student is required to complete CSCI 670 (4 units), and two semesters of CSCI 697 (1 unit each, 2 maximum). In addition, students are required to pass two semesters of CSCI 698 (1-2 units each, no maximum) as part of a teaching requirement. CSCI 698 is coursework related to a teaching requirement and is described in Section 6.

In addition to the mandatory courses, each student must complete five (5) CSCI courses at the 500 level and above, each of 4 units. No more than two (2) of these courses (8 units total) may be at the 500 level; the remaining must be CSCI courses at the 600 level. Directed Research units or thesis credits do not satisfy this requirement.

Students are strongly advised to take at least one of their elective courses in an area of Computer Science that is different from their proposed area of research. The PhD advisor is expected to provide guidance on this matter to the student. The CSCI 670 course requirement may be waived only by taking the midterm and final exams with the ongoing class (no homeworks or quizzes), and achieving satisfactory scores.

CSCI 697 and CSCI 698 may not be waived.

4. Biannual Review

Every Fall and every Spring semesters, the faculty will review each PhD student in the program. This is a rigorous review. Each student must submit a current CV and a list of publications and/or achievements. Each student’s faculty advisor will also submit a written statement assessing the student’s research and progress. The review, based on these inputs, will result in an evaluation of:

• “At or exceeds expectations”,
• “Mostly at expectations and improvements needed” (with a specific list of improvements for each student), or
• “Below expectations” (with a specific list of actions that must be taken).

After the first two semesters, students who do not have a faculty advisor will automatically receive a “Below expectations” evaluation.

Students must earn a “At or exceeds expectations” or “Mostly at expectations and improvements needed” evaluation on the most recent review before they will be allowed to take the Qualifying Examination or Dissertation Defense.

For each student who earns a “Below expectations” review, the student’s faculty advisor (if any) and the Associate Chair for PhD Affairs will develop a remediation plan to be completed within 12 months.

Two consecutive “Below expectations” reviews or failure to achieve the remediation plan may be used as grounds for removing a student from the PhD program.

5. Seminar and Thesis Proposal Attendance Requirement

Each PhD student must attend four (4) Department seminars and/or PhD Thesis Proposals each semester.

6. Teaching Requirement

All PhD students must pass CSCI 698: Teaching Practicum in two or more semesters before they can graduate with a PhD. Enrollment in CSCI 698 requires a PhD student to concurrently serve as a TA for a Computer Science or Data Science class. Every student must TA for two semesters to fulfill the teaching requirement. Every student must TA at least one undergraduate class, unless by exceptional approval by the Associate Chair for PhD Affairs.

7. Qualifying Examination

All doctoral students must pass a Qualifying Examination in Computer Science. Before passing the Qualifying Examination, students must have completed all their course requirements.

The Qualifying Examination is administered by a guidance committee consisting of the dissertation advisor and four (4) other faculty members. The student’s dissertation advisor will act as the chair of the guidance committee. The committee must include at least three (3) faculty members who have an appointment in Computer Science, and at least one committee member must be tenured in the Computer Science Department. The committee must also include one tenured/tenure track USC faculty member from another department whose primary appointment is not in Computer Science. All guidance committees must be approved by the Associate Chair for PhD Affairs, the Dean’s office, and the Graduate School. The guidance committee may include faculty from other universities, in addition to the five members from USC.

The Qualifying Examination has two parts: Written and Oral. A student must have an “At or exceeds expectations” or “Mostly at expectations and improvements needed” result from the most recent Biannual Review and at least a 3.0 GPA in order to attempt the Qualifying Examination.

Students may take the Written portion of the Qualifying Examination prior to completing their course requirements. The Written portion of the Qualifying Examination should be taken during the student’s 4th semester in the PhD program. The Written portion is in the form of a paper. Students must work with their Qualifying Examination committee to determine the topic and scope of the paper. The criteria for the paper written in fulfillment of the Written portion of the Qualifying Examination are as follows:

• Minimum 15 pages in the ACM Computer Science Style.
• Writing style must be of publishable quality, as determined by the guidance committee.
• Must include at least 30 scholarly references.

The student will pass the Written part of the Qualifying Examination with their committee’s consensus. If a student does not pass the Written portion of the Qualifying Examination, they may retake it one additional time. The student must retake the Written portion of the Qualifying Examination within at least six (6) and at most 12 months of the initial attempt.

The Oral portion of the Qualifying Examination must be taken by the end of a student’s 3rd year.   The exam can be held publicly or privately at the discretion of the Committee Chair.   The Oral portion of the Qualifying Examination will assess a student’s ability to provide a 30-minute presentation on the topic covered in the Written portion and to show adequate mastery of that topic, reflected both in the quality of the presentation and the ability to answer questions from the committee. The student will not be allowed to take the Oral portion of the Qualifying Examination without having passed the Written portion. If a student does not pass the Oral portion of the Qualifying Examination, they may retake it one additional time. The student must retake the Oral portion of the Qualifying Examination within at least six (6) and at most 12 months of the initial attempt. Postponement of any part of the Qualifying Examination will be treated on a case-by-case basis by the Associate Chair for the PhD Program

8. Thesis Proposal

The thesis proposal presents a summary of planned future research to be carried out until graduation, contextualized by work already completed. Like for the Qualifying exam, the Thesis Proposal consists of two parts: a written part, in the same format as the written portion of the Qualifying Exam, and an oral presentation. The written part must be submitted to the student’s faculty committee at least two weeks before the scheduled oral presentation. The thesis proposal committee is administered by a guidance committee consisting of the dissertation advisor and four (4) other faculty members. The student’s dissertation advisor will act as the chair of the guidance committee. The committee must include at least three (3) faculty members who have an appointment in Computer Science, and at least one committee member must be tenured in the Computer Science Department. The committee must also include one tenured/tenure track USC faculty member from another department whose primary appointment is not in Computer Science.

The oral part of the Thesis Proposal is a presentation open to the public. The presentation must be announced at least one week in advance. The announcement must include the presentation title and abstract, the venue, date and time, as well as the names of the guidance committee members. The presentation is expected to be 45 minutes long at a minimum, with time for questions at the end. All current PhD students are encouraged to attend and participate in the public questions-and-answers session. A portion of the questions-and-answers session may be closed at the discretion of the student’s guidance committee.

The Thesis Proposal must be made by the end of a student’s 5th year in the program, although it is strongly recommended that students do so by the end of their 4th year. Only students who have passed the Qualifying examination (both Written and Oral), may schedule a Thesis Proposal presentation. The guidance committee will assess the thesis proposal for novelty, substance, and feasibility, and decide whether to approve the proposal. If a student’s Thesis Proposal is not approved, the student may make one additional proposal. The student must make the additional Thesis Proposal within at most six (6) months of the first attempt.

9. Dissertation and Defense

A dissertation involving original research completes the requirements for a PhD degree. A Defense of the dissertation must be held as a public oral examination. The Defense must be announced at least one week in advance. To schedule the Defense, the student must have passed the Thesis Proposal. The Defense announcement must include the dissertation title and abstract, the venue, date and time for the examination, as well as the names of the dissertation Defense committee members.

The student must provide the complete written dissertation to the committee at least five (5) business days before the scheduled defense.

The dissertation defense committee must have at least three (3) members, of which at least two must have an appointment in Computer Science. The student’s dissertation advisor will chair the committee. At least one committee member must be tenured in the Computer Science Department. The committee must also include one tenured (or tenure-track) USC faculty member from another department whose primary appointment is not in Computer Science.

Specific upload deadlines and instructions can be found on the USC Graduate School Thesis Center website https://graduateschool.usc.edu/current-students/thesis-dissertation-submission/ .

10. Time Limits

A student must pass the Qualifying Examination within four years of being admitted to the PhD program. The dissertation Defense must be completed within seven years of being admitted to the PhD program (six if the student arrives with a relevant Master’s degree).

After seven years in the PhD program, the student may not be eligible for any Teaching Assistantship funding from the Computer Science department. An extension to either time limit (Qualifying Exam and Defense) requires approval of two-thirds of the Computer Science faculty. In no case may the granted extensions exceed the time limits set by the USC Graduate School.

11. Absences

Doctoral students may be granted a maximum of 24 months (not necessarily consecutive) leave-of-absence by the Department Chair, or by a committee appointed by the Department Chair with the approval of the Graduate School. During these absences, the clock defining the time limits for the qualifying and defense examinations is suspended. The clock is resumed when the student returns from the leave-of-absence. Any leaves longer than 24 months, or leave applied for within four months of the expiration of a time limit, requires an approval of two-thirds of Computer Science faculty. Absences longer than 24 months also require USC Graduate School approval.

12. Transfer Requirements

Students with a relevant MS degree from another university may transfer up to 30 units towards their PhD degree. At most two courses may be substituted for the allowed two 500- level courses in the course requirement. No substitutions are allowed for the 600-level courses.

13. Petitioning for MS Degree

After satisfying the PhD course requirements and completing a minimum of 32 units with a GPA of 3.0, a current CS PhD is eligible to petition for a Master's degree in Computer Science.  This will require the approval of your faculty advisor(s) and the Associate Chair of the department.

14. Existing Students and the new PhD Requirements

These requirements shall apply to all students admitted to the Computer Science PhD program for Fall 2023 or thereafter. Students admitted prior to Fall 2023 may choose to have these requirements applied to them. To do this, the student must submit to the Department an approval letter signed by the student’s PhD advisor.

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PhD Admissions | Frequently Asked Questions

Main navigation, program related questions.

• Do you have to be a Computer Science undergraduate major to apply? No, it is not required that a student have majored in CS. However, it is important that you have strong quantitative and analytical skills.
• If I already have a PhD degree in Computer Science from another institution, may I apply to the PhD program at Stanford? No, if you have a PhD in CS from another institution, you cannot apply to the CS PhD program here at Stanford.
• Are my units transferable? Units may be transferable to the PhD program towards residency credit. This determination is made via petition to the Registrar’s Office after attending our PhD program for at least one quarter. 
• Do you accept visiting scholars, exchange students, and postdocs? No. The Computer Science Department does not have such a program. All visiting scholar, exchange student, and postdoc arrangements are made between individual professors of the Universities involved.
• Where can I find housing information? You can find housing information at R&DE Student Housing .
• At the Department level, we cannot do anything to speed up this process. Foreign students are encouraged to seek a visa promptly upon receiving their I-20 because it may take up to several weeks to be processed by the U.S. Consulate due to increased security considerations.
• All new international students will be assessed a SEVIS fee in addition to other fees associated with processing visa applications. For details, visit the U.S Immigration and Customs Enforcement website.
• Does the CS department offer a MS/PhD program? No, the MS program and PhD program are two separate programs. The MS degree also does not automatically lead to a PhD degree. Applicants planning to pursue a PhD degree should apply directly to that program.
• How can I find out more about course requirements for the PhD program? See the Stanford University Bulletin for program requirements.
• How am I assigned an advisor? Each PhD student spends the first few months becoming better acquainted with the various faculty and their research areas before aligning with a faculty member to pursue their doctoral research.

Deadlines and Application Process

• Where do I get an application? External applicants and current Stanford graduate students applying to the PhD program must apply online . Current Stanford undergraduate students applying for the PhD must also apply online .
• The statement of purpose must be no more than 8,000 characters in length. This includes spaces in between words.
• What are the application requirements? Refer to the graduate application checklist .
• What is the application deadline? Check the graduate application deadlines page.
• If I previously applied, can my application be reactivated? No. We are not able to reactivate applications or supporting documents from previous applications. If you're reapplying, you must follow the same application requirements as new applicants by submitting a new online application and new supporting documents.
• What supporting documents should I send and where? No paper materials will be accepted except official transcripts (only after we contact you to submit them). Otherwise, unofficial copies of transcripts or e-transcripts must be uploaded onto the online application. 
• Can I reapply to the PhD program? Yes, however, you cannot apply more than once for the same academic year.
• Can I get a waiver on the application fee? If you are unable to pay by credit card or if the application fee is considered to be a financial burden, see the review requirements section of the Stanford University graduate admissions website.
• Where can I list my publications and website? List all your publications and URL to your website on the supplementary form which is part of the online application. Also, list your publications and website on your resume.
• How long is the statement of purpose? The statement of purpose must be no more than two pages in length. This includes spaces in between words. Upload it to the online application.
• We recommend that you retain copies of the supporting documents that you send us and have your recommenders retain copies of what they send us. It is very important to make sure your first and last names remain consistent throughout the application process and in your correspondence with the department.
• How/when will I be notified of the admissions committee decision? The admissions office will send decision letters electronically for all applicants starting by mid-February for PhD applicants.
• The decisions are made in late February for PhD applicants.
• If I am admitted to a CS graduate program, can I defer admission? Deferrals are granted on a case by case basis and usually for only compelling reasons. Deferral petition requests are due by April 11 for PhD admits. Requests for deferrals should be sent to Jayanthi Subramanian ( [email protected] ).
• What is the GPA requirement? Typically GPA's are at least 3.6 (on a 4.0 scale) for PhD applicants and 3.5 for MS applicants.
• How do I calculate my major GPA? You have to identify all the courses you are counting towards the major requirement and find the average GPA of all those courses. If you have a double major, you need to calculate two different GPAs based on the separate group of courses that are being used to meet the requirement.
• A weighted average calculation is necessary when courses have variable credits/units structure.
• For example, if the maximum score is 100 points per course and you have six courses per semester, your unconverted scale value would be 4800 (8x6x100) for the eight quarters of the undergraduate program. If you obtained 3700 points out of the potential 4800 points, that will be your unconverted GPA.
• Do not normalize your GPA to reflect a value relative to the highest achieved aggregate score in your class/batch/year. The only exceptions are physical education and military history; these two courses can be eliminated from the calculation.
• Utilize the "additional information" section under the statement of purpose section to briefly highlight the grading system used by your institution and your relative placement in that grading scheme.
• Can I apply to start in the Winter or Spring quarter? No, we only offer admission to the Autumn quarter for PhD applicants.
• Do I need to take the Graduate Record Examination (GRE)? GRE scores are not required from PhD applicants. 
• Exception : Individuals who have completed (not only attended) a Bachelor's degree or a two-year Master's degree (or the equivalent of either degree) at a recognized institution where all instruction is provided in English. This does not apply if the courses were completed in a country where English is spoken, though not all courses were provided in English.
• Visit Stanford University's Office of Graduate Admissions website for additional information.
• How recent must my TOEFL scores be? TOEFL scores submitted to Stanford must be from a test taken within the last 24 months (two years). No scores are valid beyond the date ETS will send or resend them to schools. Tests must be taken prior to application submission and the program application deadline.
• When should I take the TOEFL? If you are taking the TOEFL tests, it is recommended that you take the tests at least six (6) weeks before the application deadline. 
• What is the TOEFL recommendation? We expect applicants to have "good" English skills.

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The PhD is the primary research degree that can be taken in the Department of Computer Science and Technology. The PhD is a three to four-year full-time (five to seven-year part-time) programme of individual research on a topic agreed upon by the student and the department, under the guidance of a staff member as the student's Supervisor. 

All research students are admitted to read for the PhD degree on a probationary basis and will be registered for the Certificate of Postgraduate Study (CPGS) in the first instance. During this year, students may do some additional coursework and will write a research report that is likely to form the foundation of the eventual PhD thesis. The CPGS will involve four components:

• research skills training
• practical work
• research report of no more than 10,000 words
• attendance at research workshops and research seminars

At the end of the third term and on completion of the CPGS, students whose performance indicates that they would be able to complete a PhD in a reasonable time will be upgraded to PhD status. A student who is not upgraded to PhD status and who has completed three terms of study will normally be awarded the CPGS alone. They will not submit a thesis for the PhD degree.

All research students are strongly encouraged to contribute to teaching in the department, for which some training will be provided. Research students will submit a log of teaching activities annually at the end of June. 

Students are expected to complete the substance of their research by the end of their third year, submitting their thesis then or within a few months.

Applicants wishing to apply to undertake a PhD on a part-time basis should refer to the department's admissions advice for potential part-time students.

The University hosts and attends fairs and events throughout the year, in the UK and across the world. We also offer online events to help you explore your options:

Discover Cambridge: Master’s and PhD study webinars - these Spring events provide practical information about applying for postgraduate study.

Postgraduate Virtual Open Days - taking place in November each year, the Open Days focus on subject and course information.

For more information about upcoming events visit our events pages .

Key Information

3-4 years full-time, 4-7 years part-time, study mode : research, doctor of philosophy, department of computer science and technology, course - related enquiries, application - related enquiries, course on department website, dates and deadlines:.

Some courses can close early. See the Deadlines page for guidance on when to apply.

Michaelmas 2025

Funding deadlines.

These deadlines apply to applications for courses starting in Michaelmas 2025, Lent 2026 and Easter 2026.

Similar Courses

• Advanced Computer Science MPhil
• Machine Learning and Machine Intelligence MPhil
• Biological Sciences (Developmental Biology) by advanced study MPhil
• Medical Science (CRUK CI) PhD
• Linguistics: Theoretical and Applied Linguistics PhD

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Home > Blog > Academic Degrees > Computer Science News > Why Get a PhD in Computer Science? Your Questions Answered

Academic Degrees , Computer Science News

Why Get a PhD in Computer Science? Your Questions Answered

Updated: June 19, 2024

Published: August 24, 2019

Computer Science is an ever evolving and massively expanding field of study as technology continues to innovate and data grows exponentially. For those highly interested in research, earning your PhD in Computer Science can offer you top level accessibility to become an expert in the field and pursue either a high-level career within the industry or work in academia.

Most people who have completed the doctorate degree advise doing so only if you really love the subject and research. Earning your PhD in Computer Science has many benefits, although there is no doubt that it’s challenging.

Although a doctorate degree is not required to work in the field, it offers other benefits like allowing you to research cutting-edge technology with adequate funding. As with any graduate degree, it takes both time and money to complete, so before deciding to enroll, let’s go more in depth and answer some questions about why you would want to get a PhD in Computer Science.

Source: Unsplash

What is a phd in computer science.

A PhD in Computer Science is the highest level doctorate degree you can earn. Once you finish your undergraduate degree in Computer Science or a related field like Engineering or Applied Mathematics, you can apply for your doctorate degree .

If you didn’t major in Computer Science, then earning your Master’s degree in the subject will help you on your journey for your doctorate degree. Although it is not required to apply for a PhD, having your Master’s degree first is generally preferable.

Most programs require the following, along with a degree, to apply for a PhD:

• Previous research experience
• Letters of recommendation
• A high GPA (about 3.5-4.0)

Program Length

Earning your PhD in Computer Science is not for the faint of heart as it requires a lot of time, energy and perseverance. Although the length of completion depends on your enrollment status of full or part-time, it typically takes 5-6 years to finish.

Opportunities and Challenges

As the top academic achievement within the field, a PhD exposes students to high-level information, as well as some of the hardest challenges facing the world and technology. A PhD grants students the opportunity to perform the research of their choice and explore the topic that interest them the most.

Upon graduation, a PhD student can continue with academia or enter the industry. However, if you want to enter the field as a Computer Programmer, Software Developer or the like, you don’t have to earn a degree at this level as a Bachelor’s degree will suffice. In fact, some jobs may consider a PhD candidate to be too highly qualified, so you’ll want to assess your future goals before enrolling in a PhD program.

One of the benefits of earning this doctorate degree is the freedom you have. Most programs are quite unstructured, meaning that you get to choose what you want to research. Therefore, you can be a leading expert in the field and help to shape policies around artificial intelligence, automation and technologies that are changing the way the world functions.

The deep and rich education can expand your horizons and help you understand ideas and topics that you would never have otherwise considered.

Potential Jobs

Although it is possible to enter the field of Computer Science without a PhD, having the knowledge will expand possibilities and increase your pay.

Some of the job titles that PhD candidates seek include:

Computer and Information Research Scientist:

People in this position help to invent new programming languages that enhance business practices. With the high amount of data, information and research, these scientists can create changes and also assess their impact through analysis.

Database Administrator:

Database administrators organize and secure data against attacks. Those with a PhD can be trusted to understand the complex nature of various systems and be able to better protect them.

Software Developer:

Software developers create systems and software for various uses. Although a PhD is not required to be a software developer, it further enhances one’s understanding.

Computer Science salaries vary based on position type, location and education. However, the overall field of Computer Science is growing. In fact, Computer and Information Research Scientists are expecting much higher than average growth with the discipline expected to increase its demand by 19% between 2016 and 2026. Those with a PhD will increase their salary potential based on their educational accomplishment.

Furthermore, with a PhD in Computer Science, you can go on to be a professor since you’re a leading expert in the field. The demand for jobs within the field is growing, especially regarding cloud computing, data storage, artificial intelligence and information security.

Online Versus Traditional Programs

The reason you choose to earn your PhD in Computer Science is personal, and how you choose to do it is also a subjective choice. It’s hard to say if an online university or traditional onsite program is better or worse because the reasons for choosing to do one or the other are different.

The benefits of an online program include relatively lower costs, more flexibility and greater accessibility. However, an onsite program offers you more opportunity to perform research and work with those in person who are already advancing the field.

For example, some students who earn their Bachelor’s degree in Computer Science online from University of the People may enjoy the online experience and therefore want to continue their studies remotely by earning their PhD online as well.

Earning your undergraduate degree is the first step in moving towards earning your PhD in Computer Science. While the field is always growing and the opportunity for research multiplies, pursuing a PhD in the discipline is an important decision to make. The program generally offers freedom to select your area of interest, but it also takes time and a lot of dedication to complete.

Those who go on to get their PhD should really have an affinity for the subject matter and love to conduct research. It’s also useful to know that it’s typically easier to earn a PhD then enter the field as opposed to working in the field and then going back to earn your PhD.

Any form of higher education will never serve as a detriment as it helps expand your mind, create more networking opportunities and better hone your skills and knowledge regarding specific subject matter.

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Computer Science PhD

On this page:.

• Introduction
• 1 Research process
• 2 What is this career path?
• 3.1 You learn cutting edge research skills
• 3.2 Potential for large impact from research
• 3.3 Other benefits
• 4 Reasons not to do a computer science PhD
• 5 Entry requirements
• 6.1 Want to use a CS PhD to make the world a better place? We want to help.

A computer science PhD offers the chance to become a leading researcher in a highly important field with potential for transformational research. Especially consider it if you want to enter computer science academia or do high-level research in industry and expect to be among the top 30% of PhD candidates.

Most people qualified to do a computer science PhD should seriously consider doing a PhD focussed on Machine Learning, which we cover in another profile .

• • Potential for large impact from your research.
• • Opportunity to become an expert in AI.
• • Freedom to pursue research topics that most interest you.
• • Very smart colleagues.
• • Helps you enter technical jobs in industry, providing a backup to academia (though if industry is your aim, it's probably better to enter directly)
• • Less than 10% end up with tenure-track jobs.
• • Takes a long time (5-7 years), with relatively low pay.
• • Doing highly open-ended research provides little feedback which can be unmotivating.
• • About half of those who enter industry afterwards don't end up with research positions.

Key facts on fit  

If you are interested, try out doing computer science research by doing a dissertation as an undergraduate or taking up research assistant jobs in a professor’s lab. Then read this advice on how to get in.

Sometimes recommended

We recommend this career if it is a better fit for you than our other recommended careers.

Review status

Based on a shallow investigation 

Table of Contents

Research process

For this profile, we read eight blogs by computer scientists on whether to do the PhD and reviewed the Taulbee survey ( the full list ). See all the other research we did in our wiki .

What is this career path?

In this profile we focus on doing a Computer Science PhD in the US, which usually takes 5-7 years. There is relatively low emphasis on taking classes – typically you only take classes when they are relevant to your research, and these can be in disciplines outside of computer science, including statistics, operations research, maths, psychology and linguistics. 1 The PhD is heavily research focused – by the end you write a dissertation which is a long and in depth exploration on a topic that you become an expert on.

Why do a computer science PhD?

You learn cutting edge research skills.

The most commonly cited advantage of a computer science PhD is that you learn highly advanced research skills:

• You learn the skill of choosing promising areas of research that are at the edges of a field: “Doing a PhD will force you to cast away from shore and explore the boundary of human knowledge. There’s a real trick to picking good problems, and developing a taste for it is a key skill if you want to become a technical leader.” 2
• You become fluent in both written and verbal technical communication: “I’ve noticed a big gap between the software engineers I’ve worked with who have PhDs and those who don’t in this regard. PhD-trained folks tend to give clear, well-organized talks and know how to write up their work and visualize the result of experiments. As a result they can be much more influential.” 3 This is a skill that’s important for entering data science .
• You learn to run experiments and interpret the results and get every aspect of your methodology closely critiqued.
• You learn how to read and critique research papers.

Potential for large impact from research

• During your PhD you get to work on the hardest problems at the edge of human knowledge, in a field with a strong track record of transformational research , in spite of its short history as an academic discipline. “PhD research is about opening up new avenues of enquiry, and working on problems that the rest of the world hasn’t even articulated yet. If you do it right, you can have tremendous impact.” 4 A computer science PhD opens up the potential to carry on with this research in academia or in industry.
• You have lots of freedom over what research topics to work on during your PhD (though if you want to continue to academia, you’ll need to initially focus on the topics that will most aid your career). 5
• Artificial Intelligence is one of the most important trends of the next century and is currently the most popular area of specialisation among computer science PhD’s. 6 We think it’s especially important that more people work on making sure the development of AI is done safely, and there’s increasing funding available for researchers with this aim, making it a promising area to enter . A computer science PhD opens up jobs focused on AI safety in industry (for example at DeepMind ), non-profits such as the Machine Intelligence Research Institute , and academia. If you want to work on this research, see our full review of the area .

Other benefits

• You often become the leading world expert on the area of your dissertation.
• You gain a much deeper understanding of complex computer science topics, which can help with reaching technical leadership positions in industry, which are in-demand and well-paid. 7 People with PhD’s also frequently get more freedom in their subsequent jobs than those with bachelor’s or master’s degrees. 5
• Highly intelligent peers, and close mentorship and feedback from some of the smartest people on earth.
• PhD level research can be extremely satisfying. You can discover previously completely unknown knowledge, you gain deep understanding of your area and you get to prioritise accuracy and truth over functionality and speed much more than you do in industry. 8
• It is generally easier to move from a computer science PhD into industry than it is to move from industry into a PhD. 9

Reasons not to do a computer science PhD

• It takes a long time: “Nobody finishes in four years. The typical time to completion is around five or six years, but there is a long tail — I reserve the term “paleo-student” for someone who has been at it more than 10 years.” 10
• You don’t get wide exposure to different career areas during this time – you only learn about academic computer science.
• Currently only around 30% of computer science PhDs get jobs in academia, with less than 10% getting tenure track positions. 11 To get a tenure-track position it is increasingly necessary to do one or more post-docs first, meaning you face even more time with relatively low pay. 12
• Currently only around 55-65% of those who get jobs in industry after their PhD get research positions (suggesting it may have been better for them to enter industry directly). 13 Overall, only around half of computer science PhD’s get research positions immediately after their PhD’s whether this is in academia or in industry. 14
• The PhD is extremely unstructured – you do highly open-ended research with no clear guidelines on progress or how to organise your time. “Research can be very rewarding and very frustrating. Most students describe graduate school as a roller-coaster with tremendous highs and tremendous lows.” 15
• The pay is not that high – median stipends range from $17,000 to $29,000. 16

Entry requirements

You need an undergraduate degree in computer science or a closely related field like engineering, maths or physics (or another major as long as you took a lot of CS classes). A master in computer science can help you enter if your major wasn’t in computer science and you haven’t taken many CS classes. 17

You also typically need:

• Previous research experience
• Excellent letters of recommendation from researchers who can comment on your research ability
• A high GPA (3.5-4.0) in computer science and maths classes and quantitative reasoning GRE scores over 650. 18

Who should most strongly consider a computer science PhD?

You should only consider a computer science PhD if you are incredibly motivated to do high-level computer science research. All the advice we read was emphatic on this point. Here is a representative quote:

The only reason to do a PhD is because you love doing research. If you don’t love research, don’t bother — it is not worth the time, money (in terms of opportunity cost vs. making a real salary in industry), or stress. 19

To get a sense of what academic research in computer science is like, try reading published papers (see for example this paper and this paper ).

Given that only 10% end up with tenure track positions and of those that enter industry immediately after the PhD only 50% end up with research positions, it’s unclear whether the PhD is worth the considerable costs for the bottom 50% or so of candidates.

Overall, especially consider a computer science PhD if:

• You meet the entry requirements.
• You’re highly motivated to do computer science research.
• You expect to be among the top 30% of PhD candidates.
• You want to go into computer science academia or do high-level research in industry, especially if you want to work on artificial intelligence .

Want to use a CS PhD to make the world a better place? We want to help.

We’ve coached dozens of people entering a CS PhD, and can often put you in touch with relevant experts for more guidance, particularly in AI/ML.

Get in touch

Notes and references

• “In contrast, a Ph.D. program typically requires typically less than 10 courses during the entire 6 years (at CMU there are 5 required “core” courses, and 3 required “electives”). The emphasis in the Ph.D. is not on classes, but rather on research. A Ph.D. student will typically take classes only when she feels that they will be useful in her research. The classes she takes may not even be in CS at all. They may be in Statistics, Operations Research, Math, Psychology, Linguistics, or anything else useful for her particular research topic.” Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• Matt Welsh – Do you need a PhD? ↩
• Matt Welsh – So, you want to go to grad school? ↩
• “Once you have a PhD — and even during the process of getting one — you are able to be your own boss. Rather than working on someone else’s vision, you are the one to define the vision. This is especially true if you pursue an academic career after grad school, but is also the case in many industrial research labs. Typically, people with Bachelor’s and Master’s degrees aren’t afforded so much freedom.” Matt Welsh – So, you want to go to grad school? ↩
• “Artificial intelligence, networking, software engineering and databases, in that order, continue to be the most popular areas of specialization for doctoral graduates.” Computing Research Associating 2014 Taulbee Survey ↩
• “I do think that doing a PhD is useful for software engineers, especially those that are inclined to be technical leaders. There are many things you can only learn “on the job,” but doing a PhD, and having to build your own compiler, or design a new operating system, or prove a complex distributed algorithm from scratch is going to give you a much deeper understanding of complex Computer Science topics than following coding examples on StackOverflow.” Matt Welsh – Do you need a PhD? ↩
• “For all the frustrations, research can be extremely joyous. For some people, the joy of research is the joy of discovering something new that no one knew about. You might be discovering a new algorithm, a new operating system design idea, a new idea for maximizing the performance of disk arrays, etc.. For others, there’s the joy of truly understanding. You’ve probably noticed that in classes a professor or book will stop just when things are getting really interesting and say, “the rest is beyond the scope of this class.” In research, you can take a problem as far as you want and understand everything about it. For many, the joy of research comes from being able to make an impact – to change the way systems are built and design them in a smarter way. There’s also the joy of doing it right. In a company, the aim is to get a working product and ship it out quickly. In research, you can take your time and plan out your project so that you are proud to defend every one of your design decisions. Research is not about simple heuristics or quick hacks. Many people also relish the joy of being the authority on an area and of having their work read and cited by others.” Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• “In my experience, it is quite rare to make the jump from industry to grad school. First off, industry pays so much better than the PhD student stipend that it is quite hard to make this transition. Also, to get into a top PhD program, you need good letters from CS professors, and letters from industry don’t really count. After you’ve been gone for a couple of years it’s hard to get those stellar letters from the professors that may have loved you back when you were in college; newer, brighter, more energetic students have taken your place and you are long forgotten (although maybe Facebook will change all that). Industry experience rarely helps a graduate application, especially if you’re some low-level engineer at a big company writing tests all day.” Matt Welsh – So, you want to go to grad school? ↩
• “Only 27.3 percent of 2013-14 graduates took North American academic jobs, an all-time low since we began tracking this in 1989-90. The fraction taking tenure-track positions in North American doctoral granting computing departments held fairly steady at 7.6 percent for 2013-14 graduates. The fraction taking positions in North American non-Ph.D.-granting computing departments dropped from 2.1 percent to 1.9 percent. The fraction taking North American academic postdoctoral positions dropped from 14.9 percent to 11.6 percent” “The proportion of Ph.D. graduates who were reported taking positions outside of North America, among those whose employment is known, rose to 9.4 percent from 8.2 percent for 2012-13 graduates. About 37 percent of those employed outside of North America went to industry (slightly higher than reported last year), about 26 percent went to tenure-track academic positions (about the same as reported last year) and almost 20 percent went to academic postdoctoral positions (a higher rate than reported last year).” Computing Research Associating 2014 Taulbee Survey ↩
• “Tenure-track positions are increasingly requiring candidates to do one or more postdocs: This trend has been documented by Anita Jones in the article The Explosive Growth of Postdocs in Computer Science (ACM Digital Library subscription required). Since 2007, hiring of Ph.D.’s in academia is increasingly dominated by postdoc positions rather than tenure-track positions. The requirements for a tenure-track position appear to have been redefined to make one or more postdocs nearly mandatory. This has been the case in other disciplines for a long time, but it is relatively new for Computer Science. This delays a Ph.D.’s career and forces people who want to become professors to endure several more years of low pay and status.” Ronald T. Azuma – So long, and thanks for the Ph.D.! ↩
• “Among those doctoral graduates who went to North American industry and for whom the type of industry position was known, about 56 percent took research positions. This is down from the 64 percent reported last year.” “Of the doctoral graduates who went to non-North American industry positions, the positions were research by a three-to-one margin over those that were not research, the same ratio reported last year” Computing Research Associating 2014 Taulbee Survey ↩
• Table D4a. Detail of Industry Employment. Computing Research Associating 2014 Taulbee Survey ↩
• Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• Table G2. Fall 2014 Academic-Year Graduate Stipends by Department Type and Support Type. Computing Research Associating 2014 Taulbee Survey ↩
• “The only cases I recommend doing a Masters are for students that aren’t quite prepared to get into a top-ranked PhD program, for example, because their undergrad major is in something other than CS. (Note that if your undergrad major is in an area closely aligned with CS, such as engineering, math, or physics, or you took a lot of CS classes despite majoring in something else, you probably don’t need a Master’s.)” Matt Welsh – So, you want to go to grad school? ↩
• Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University and Matt Welsh – Tips on Getting into Grad School ↩

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	North Carolina Agricultural & Technical State University
	Sep 30, 2024   2024-2025 Graduate Catalog     2024-2025 Graduate Catalog | Graduate Coordinator: Huiming (Anna) Yu Email: [email protected] Phone: 336-285-3699 Department Chair: Xiaohong (Dorothy) Yuan Email: [email protected] Phone: 336-285-3693 The Ph.D. program in Computer Science presents both advanced instruction and opportunities for independent research. The Ph.D. degree is the highest academic degree offered, and graduates typically find employment as researchers in government or industry laboratories or as university faculty. Earning a Ph.D. degree requires initiative and responsibility, and the student is expected to make a significant contribution to computer-science knowledge by investigating a topic that is recognized as significant. Additional Admission Requirements Bachelor of Science in computer science with a minimum GPA of 3.5 over the last 60 course credit hours of the undergraduate degree or Master of Science degree in Computer Science with a minimum GPA of 3.25. GRE test scores Program Outcomes Graduates of the Ph.D. program will conduct advanced research in such computer science areas as information security, distributed systems, and artificial intelligence. Graduates will develop the ability to identify research problems in computer science and to develop solutions for them. Graduates will develop the ability to address important computing problems from a variety of areas, including business, the environment, the State’s economy, healthcare, and law enforcement. Graduates will develop the ability to examine certain grand challenge problems in the discipline. Graduates will acquire the skills and abilities to be effective educators in computer science at the university level. Degree Requirements Core courses:. COMP 710 - Specifications and Design 3 Credit(s) COMP 755 - Advanced Operating Systems 3 Credit(s) COMP 775 - Advance Design and Analysis of Algorithms 3 Credit(s) Credit Hours: 9 Comp electives:. Take 24 credits of additional COMP 700-899 courses with approval of advisor Credit Hours: 24 Take 6 credit hours from COMP 700-899 or other departments with approval of advisor Credit Hours: 6 Take 6 credit hours:. COMP 892 - Doctoral Research Methods 3 Credit(s) COMP 994 - Doctoral Research Examination 3 Credit(s) Dissertation: COMP 997 - Doctoral Dissertation 3 to 18 Credit(s) Credit Hours: 18 qualifying exam, preliminary exam, dissertation defense Total Credit Hours: 63 (Post Baccalaureate) Core courses*:. Take 9 credits of additional COMP 700-899 courses with approval of advisor Take 3 Credit Hours: Total credit hours: 45 (post ms degree). * If a student has already taken a core course then the student must substitute this course with an elective course with approval of the advisor. Dissertation Research: A student may not register for dissertation credits before passing Qualifying Examination. No more than 18 dissertation credits are counted toward the total credit hours requirement for the degree. Qualifying Examination: The Qualifying Examination is given to assess the student’s competence in a broad range of relevant subject areas. Only students with unconditional status and in good academic standing may take the Qualifying Examination. A student who wants to retake the Qualifying Examination must apply to retake the Qualifying Examination by the posted deadline. No student is permitted to take the Qualifying Examination more than twice. A student not recommended for re-examination or who fails the exam on a second attempt may be dismissed from the doctoral program. Preliminary Oral Examination: The Preliminary Oral Examination is conducted by the student’s dissertation committee and is a defense of the student’s dissertation proposal. Passing this exam satisfies requirements for Ph.D. Candidacy. Failure on the examination may result in dismissal from the doctoral program. The student’s Advisory Committee may permit one re-examination. At least one full semester must elapse before the re-examination. Failure on the second attempt will result in dismissal from the doctoral program. Admission to Candidacy Student will be admitted to candidacy upon successful completion of the Qualifying Exam and the Preliminary Oral Exam. Final Oral Examination: The Final Oral Examination is conducted by the student’s dissertation committee. This examination is the final dissertation defense presentation that is scheduled after a dissertation is completed. The examination may be held no earlier than one semester (or four months) after admission to candidacy. Failure on the examination may result in dismissal from the doctoral program. The student’s Advisory Committee may permit one re-examination. At least one full semester must elapse before the re-examination. Failure on the second attempt will result in dismissal from the doctoral program. Submission of Dissertation: Upon passing the Ph.D. Final Oral Examination, the Ph.D. student must have the dissertation approved by each member of the student’s dissertation committee. The approved dissertation must be submitted to The Graduate College by the deadline given in the academic calendar, and must conform to the Graduate College’s guidelines for theses and dissertations. What is computer science? Computers power the technology we use every day. Studying computer science will give you the skills to design and build the software and hardware behind the world’s most innovative technology, and set you up for success in a fast-paced field. What computer science is (and what it isn’t!) Computer science is about more than learning how to code: it’s the study of the design, construction and use of hardware and software. Computer science is a broad field, encompassing everything from software development to robotics and artificial intelligence (AI).  While there are overlaps between the two, computer science and IT are not one and the same. Computer science is concerned with the design and development of computers and computer programs, while IT focuses on how this technology runs in businesses and organisations, making sure that the networks, systems and security they use are operational. Thanks to recent advances in AI, machine learning and natural language processing, the computer science field is evolving faster than ever before – with new technology and jobs being created today that didn’t exist a year ago. To understand how the sector has evolved since AI went mainstream, we asked Dr Jake Renzella , Director of Computer Science at UNSW Sydney: We’re all keeping a close eye on the impact of AI, especially recent generative AI systems such as Large Language Models. While the dust has not yet settled (and maybe never will!), it is clear that software engineers are already incorporating these tools into their software development workflows. Large language models such as ChatGPT or Github Copilot can give developers superpowers; correcting bugs, and even producing code alongside the developer! But a good computer scientist still needs to understand and review the contributions of our AI counterpart to ensure it’s correct – and often, it isn’t. Dr Jake Renzella Director of Computer Science at Computer Science Engineering (CSE) at UNSW What does a career in computer science involve? Computer science graduates can specialise in a huge number of fields, including software development, AI and machine learning, agritech, bioinformatics, cybersecurity, database systems, programming and game development. Common jobs include computer engineers, software and game developers and information security analysts.  Computer engineers design and build networks and physical hardware systems. This goes beyond everyday hardware like your laptop or your phone – computer engineers can work on anything that’s controlled by computers, from cars to robots. Software developers, on the other hand, are programming experts, who use code – like HTML or Python – to build software and applications. Game developers are software developers who specialise in creating computer and video games for platforms like PlayStation and Nintendo, which could include programming the games’ AI or virtual landscapes. Information security analysts are responsible for keeping businesses and organisations safe from security threats, analysing and investigating vulnerabilities in their hardware and software. Jobs in computer science Career opportunities for computer science graduates are aplenty and graduates are some of the most in-demand and highest-paid professionals in Australia and around the world. Career options for people with a Bachelor of Science (Computer Science) include:  Database administrator  Software developer  Computer hardware engineer  Computer systems analyst  Computer network architect  Website developer  Information security analyst  Research scientist  Programmer  Systems manager  Project manager  Games designer  For those looking for something a little more left-of-field, Dr Renzella shares reflects on one particularly interesting application of computer science: Ethical hackers, or “white-hats”, use the same computer hacking skills which hackers use, but for good. They are typically hired by medium to large-sized organisations to identify vulnerabilities in their systems and networks, helping them protect against malicious actors.” Dr Renzella continues: “Hacking in this sense may not be what you imagine! While it could be in the form of writing malicious code that accesses information, it is often just as effective as photocopying a company’s ID card and walking up to an unprotected PC and accessing protected data. Dr Jake Renzella Director of Computer Science at Computer Science Engineering (CSE) at UNSW Why study computer science? Dr Renzella sums it up clearly:  “I don’t need to tell you that the computing industry is massive. If just the top five tech companies combined were a nation, they’d have the world’s third-largest GDP! And with recent advancements in Artificial Intelligence, it’s not showing any signs of slowing down. But these aren’t good reasons to study computer science. The real reason you should be excited to study computer science is to have the opportunity to build the future. To understand the computing systems which power the world, and create even better ones. To make the world a fairer place with algorithms, AI systems and tools which better society.” What will you learn in a Bachelor of Science (Computer Science)? Studying a Bachelor of Science (Computer Science) at UNSW will equip you with the skills you need to design and build the technology of the future.  You can specialise in a number of areas, including database systems, programming languages, embedded systems, artificial intelligence, computer networks and security engineering. In your final year of study, you’ll put your knowledge into practice, working in teams to develop and evaluate a real-world software system. As part of the Faculty of Engineering , you can also take part in the ChallENG programme and get hands-on experience working on real-world projects that will develop your technical and design skills and set you up for career success. You could play a role in projects like Sunswift Racing , a multi-discpilinary endeavour that involved designing and building a new generation of electric car, which is currently the world’s fastest electric vehicle to travel 1000km on a single charge. Why choose UNSW? Our School of Computer Science and Engineering is ranked 1st in Australia for Algorithms, Artificial Intelligence, Databases, Embedded & Real-Time Systems and Operating Systems by CS Rankings. We’re ranked 3rd in Australia for Computer Science & IT according to QS World University Rankings 2023.  UNSW Engineering graduates earn some of the highest salaries in Australia according to QILT Graduate Outcomes Survey 2023, and we’ve been recognised for producing Australia’s Most Employable Graduates by the AFR five years running .  We’ve invested more than  $700 million in new technology and equipment, makerspaces, virtual reality cinemas and modern teaching spaces and partnered with companies like Data61, a leading digital research network, researching things like artificial intelligence, programming languages and service-oriented computing. UNSW also offers postgraduate study options in computer science, including a Master of Information Technology , Graduate Certificate in Computing and Graduate Diploma in Information Technology . At UNSW, we don’t just aim to teach you the skills to be a great Computer Scientist. Just like we don’t aim to produce the best programmers, user interface designers or software managers. Our goal is to produce great people. The future will be shaped by the innovations and decisions made by the next generation of computer scientists, and we’re so excited to prepare students for this responsibility. Dr Jake Renzella Director of Computer Science at Computer Science Engineering (CSE) at UNSW Interested in studying a Bachelor of Computer Science at UNSW?  Connect with us. Sign up to our newsletter - we'll keep you updated on degree information, scholarships and upcoming events.  Want to find out more about computer science at UNSW? If you have any questions about studying at UNSW or how you can make your studies work for you, contact us below. We’re here to help. PhD in Statistics and Computer Science PhD Program Director PhD Administrative Assistant Angela Baldassarre   The 4-year PhD in Statistics and Computer Science is a high profile and rigorous doctoral program, within the Department of Decision Sciences, that develops strong mathematical, statistical, computational and programming backgrounds. It arises as an expansion of the PhD in Statistics, which has been offered by the Department since 2001 and has stood out as a success story in terms of both placement and scientific achievements of its graduates. The cross-disciplinary nature of our program is essential for gaining first-class research skills. Indeed, the rise of Machine Learning and Data Science is providing undisputed evidence that the ideal expertise for achieving new exciting advances in these areas lies at the boundaries of Statistics and Computer Science. The ability of developing both novel statistical methodologies and highly scalable computational algorithms has become crucial, due to the increasing availability of large and complex datasets. The program is tailored to extremely talented and motivated students who wish to stand out either as statisticians having also a deep knowledge of computing, algorithms and theoretical computer science or as computer scientists with a strong training in probabilistic and statistical modeling and applications. This merging of skills is a distinctive feature of modern data scientists working on cutting-edge research topics within academic institutions, research organizations and industry. The first year will include courses that are compulsory for all enrolled PhD students and provide a common theoretical and methodological background on topics related to real analysis, probability theory and stochastic processes, theoretical computer science and computer programming, mathematical statistics. During the first year, students will choose between two tracks : Statistics and Computer Science . The second year features track-specific compulsory courses and elective courses that will be focusing on frontier research topics. The third and fourth year are devoted to the doctoral thesis. The Faculty includes internationally acknowledged top researchers in Statistics , Computer Science , Decision Theory , Statistical Physics and Machine Learning . The program also benefits from contributions of authoritative visiting professors who deliver short monographic courses. Following the links on the left-hand side of this page, you will be able to access full info on the program. Find out more on how to apply and the admissions process .       Attachments PhD Brochure PhD in Statistics Students' Awards 495 IMAGES PhD in Computer Science: Specializations & Best Degrees Ph.D. in Computer Science PhD in Computer Science Computer Science Is a PhD Worth it? Computer Science Certificates VIDEO Churchill College Annual Computer Science Lecture Samuel F. Rosenblatt CS PhD Defense Learning AI: AI data from 2010-2021 (Industry vs. Academia) University of central Florida College of engineering and computer science PhD, #scholarship #2024 A Computer Science Phd holder bride marital vows.#nigeria #viral #atlanta #reels #nwammatv #wedding PhD in Computer Science at UChicago: Tips & Insights for International Students COMMENTS Ph.D. Programs in Computer Science Benefits of a Ph.D. in computer science include: Sharper Skills: A computer science doctorate can help you improve a variety of important career skills, such as research, communication, critical thinking, and problem-solving. Job Opportunities: Ph.D. in computer science graduates can qualify for promotions and higher-level roles. PhD Admissions The Computer Science Department PhD program is a top-ranked research-oriented program, typically completed in 5-6 years. There are very few course requirements and the emphasis is on preparation for a career in Computer Science research. Eligibility. To be eligible for admission in a Stanford graduate program, applicants must meet: Degree level ... Computer Science PhD The Department of Electrical Engineering and Computer Sciences (EECS) offers two graduate programs in Computer Science: the Master of Science (MS), and the Doctor of Philosophy (PhD). Master of Science (MS) The Master of Science (MS) emphasizes research preparation and experience and, for most students, is a chance to lay the groundwork for ... Computer Science Computer Science is an area of study within the Harvard John A. Paulson School of Engineering and Applied Sciences. Prospective students apply through Harvard Griffin GSAS; in the online application, select "Engineering and Applied Sciences" as your program choice and select "PhD Computer Science" in the Area of Study menu. Doctoral Program The PhD is the Computer Science Department's primary doctoral program. PhD students are expected to be full-time on-campus during every fall and spring academic semester from initial enrollment until the dissertation has been distributed to their defense committee, except during leaves of absence approved by the university. PhD students spend ... PhD in Computer Science Computer Science PhD Degree. In the Computer Science program, you will learn both the fundamentals of computation and computation's interaction with the world. Your work will involve a wide range of areas including theoretical computer science, artificial intelligence and machine learning, economics and computer science, privacy and security ... Ph.D. in Computer Science overview All requirements for the doctoral degree must be completed and the degree awarded within five calendar years after passing the preliminary oral examination.Graduate School policy dictates a departmental annual review of Ph.D. progress for all students. Each fall, computer science Ph.D. students will be required to complete an annual review form. Doctoral Degree in Computer Science Carnegie Mellon's Ph.D. in Computer Science is, above all, a research degree. When the faculty award a Ph.D., they certify that the student has a broad foundation and awareness of core concepts in computer science, has advanced the field by performing significant original research and has reported that work in a scholarly fashion. When you ... PhD The Computer Science Department also believes that teaching is an integral and important part of graduate-level education in Computer Science. In pursuing the PhD degree, students have clear and defined milestones that help guide them to the successful completion of their dissertation and oral defense. This includes a cumulative list of ... Academics The PhD degree is intended primarily for students who desire a career in research, advanced development, or teaching. A broad Computer Science, Engineering, Science background, intensive study, and research experience in a specialized area are the necessary requisites. The degree of Doctor of Philosophy (PhD) is conferred on candidates who have ... Computer Science Ph.D. Program The computer science Ph.D. program complies with the requirements of the Cornell Graduate School, which include requirements on residency, minimum grades, examinations, and dissertation. The Department also administers a very small 2-year Master of Science program (with thesis). Students in this program serve as teaching assistants and receive ... Doctorate in Computer Science Overview A Ph.D. is the highest degree in computer science. Doctoral students focus their training in particular specialty areas, conduct research with faculty advisors, and defend dissertations. Earning a doctorate in computer science takes 4-5 years. After completing their degrees, graduates commonly work in tech, biomedicine, business, and academia. Doctoral Programs Doctoral Programs. Doctoral Programs. In the School of Computer Science, we believe that Ph.D. students thrive in a flexible environment that considers their background and experience, separates funding from advising, and encourages interdisciplinary exploration. In any of the Ph.D. programs across our seven departments, you'll be matched with ... FAQ: Is a PhD in Computer Science Worth It? (With Jobs) A Ph.D. in computer science is a doctoral degree that students can earn after completing advanced research on a complex computer science topic, such as artificial intelligence (AI) or network architecture. A doctorate is the highest academic degree students can earn in the computer science field. These programs typically teach students how to ... CS PhD Course Guidelines CS PhD Course Guidelines. The following program guidelines (a.k.a model pogram) serve as a starting point for a discussion with the faculty about areas of interest. This description of the Computer Science PhD course guidelines augments the school-wide PhD course requirements. Students should make themselves familiar with both. PhD in Computer Science The PhD in Computer Science program provides students with the advanced coursework and groundbreaking research opportunities they need to contribute at the forefront of the world's fastest-growing fields. Forging knowledge in 15 core areas like artificial intelligence, data science, programming languages, and human-centered computing, you ... Ph.D. in Computer Science Ph.D. in Computer Science. The Ph.D. degree culminates with the student writing and defending a dissertation based on the result of independent, original research that makes a significant scholarly contribution to the student's field of study. Please visit the UVA Graduate Record webpage for Ph.D. degree requirements. PhD Program PhD Program. We are proud of the quality of PhD students we attract and the training they receive. All of our students receive support, including an annual stipend, in the form of external and internal competitive fellowships, research fellowships, or teaching fellowships. As a PhD candidate, you will share in the excitement of discovery as you ... Ph.D. Program The PhD degree at the USC Computer Science department prepares students for a career in research. The goal of the program is to nurture talented minds via research and formal coursework, to produce future thought leaders in computer science. The program accepts students who have completed a four-year Bachelor's degree in a relevant field; a ... PhD Admissions No, it is not required that a student have majored in CS. However, it is important that you have strong quantitative and analytical skills. If I already have a PhD degree in Computer Science from another institution, may I apply to the PhD program at Stanford? No, if you have a PhD in CS from another institution, you cannot apply to the CS PhD ... PhD in Computer Science The PhD is the primary research degree that can be taken in the Department of Computer Science and Technology. The PhD is a three to four-year full-time (five to seven-year part-time) programme of individual research on a topic agreed upon by the student and the department, under the guidance of a staff member as the student's Supervisor. Why Get a PhD in Computer Science? Your Questions Answered Computer Science is an ever evolving and massively expanding field of study as technology continues to innovate and data grows exponentially. For those highly interested in research, earning your PhD in Computer Science can offer you top level accessibility to become an expert in the field and pursue either a high-level career within the industry or work in academia. Computer Science PhD A computer science PhD offers the chance to become a leading researcher in a highly important field with potential for transformational research. Especially consider it if you want to enter computer science academia or do high-level research in industry and expect to be among the top 30% of PhD candidates. Ph.D. in Computer Science The Ph.D. in Computer Science at UMKC is designed for students eager to advance technology and science. The program offers deep expertise in advanced computer science principles, with specializations in data science, AI and cybersecurity. ... Financial support, such as graduate assistantships or scholarships, will also be determined at this ... Program: Computer Science, PhD Graduate Coordinator: Huiming (Anna) Yu Email: [email protected] Phone: 336-285-3699 Department Chair: Xiaohong (Dorothy) Yuan Email: [email protected] Phone: 336-285-3693 The Ph.D. program in Computer Science presents both advanced instruction and opportunities for independent research. Computer Science, MPhil/PhD Computer Science, MPhil/PhD Join world-leading research teams with diverse expertise to study for a research degree in Computer Science (MPhil/PhD) at the University of Greenwich We offer advanced research training opportunities across a broad range of areas, including data science, cybersecurity, games, and numerical analysis. What is computer science? What computer science is (and what it isn't!) Computer science is about more than learning how to code: it's the study of the design, construction and use of hardware and software. Computer science is a broad field, encompassing everything from software development to robotics and artificial intelligence (AI). PhD in Statistics and Computer Science PhD Administrative Assistant Angela Baldassarre . The 4-year PhD in Statistics and Computer Science is a high profile and rigorous doctoral program, within the Department of Decision Sciences, that develops strong mathematical, statistical, computational and programming backgrounds. It arises as an expansion of the PhD in Statistics, which has been offered by the Department since 2001 and has ... Graduate Certificate in Electrical & Computer Engineering Foundations Courses are created from critical points of an electrical and computer engineering bachelor's degree core curriculum at a pace and intensity that is reflective of, and appropriate for, a post-baccalaureate student. Develop electrical and computer engineering skills Bridge your education into a master's program Successful completion of the graduate certificate program provides a pathway for... assignment essay homework paper phd report resume review speech thesis