statement of purpose for phd in bioinformatics

Ph.D. in Computational Biology and Bioinformatics

General info.

• Faculty working with students: 60
• Students: 29
• Part time study available: No
• Application Terms: Fall
• Application Deadline: November 30

Monica Franklin Program Coordinator CBB Graduate Program Duke University Box 90090 Durham, NC 27708

Phone: 919-668-1049

Email: [email protected]

Website:  https://medschool.duke.edu/education/biomedical-phd-programs/computational-biology-and-bioinformatics-program

Program Description

The mission of the Graduate Program in Computational Biology and Bioinformatics (CBB) is to train predoctoral students to become leaders at the interdisciplinary intersection of quantitative and biomedical sciences. The program provides rigorous training in quantitative approaches from computer science, statistics, mathematics, physics, and engineering that enable its students to successfully address contemporary challenges across biology and medicine.  CBB trains students who have an interest and aptitude in both the computational and biological sciences. During their time in the program, students develop expertise in one or more quantitative areas, as well as in the specific biological area on which their research focuses.

Certificate in CBB

For students enrolled in other Ph.D. or masters programs of participating departments, the program also offers the opportunity to pursue a certificate in CBB. Students qualify for a CBB certificate by successfully completing two core courses plus an additional CBB course. Registration for the Computational Biology seminar every semester except the semester of graduation is also required.

• Computational Biology and Bioinformatics: PhD Admissions and Enrollment Statistics
• Computational Biology and Bioinformatics: PhD Completion Rate Statistics
• Computational Biology and Bioinformatics: PhD Time to Degree Statistics
• Computational Biology and Bioinformatics: PhD Career Outcomes Statistics

Application Information

Application Terms Available:  Fall

Application Deadline:  November 30

Graduate School Application Requirements See the Application Instructions page for important details about each Graduate School requirement.

• Transcripts: Unofficial transcripts required with application submission; official transcripts required upon admission
• Letters of Recommendation: 3 Required
• Statement of Purpose: Required
• Résumé: Required
• GRE Scores: GRE General (Optional)
• English Language Exam: TOEFL, IELTS, or Duolingo English Test required* for applicants whose first language is not English *test waiver may apply for some applicants
• GPA: Undergraduate GPA calculated on 4.0 scale required

Department-Specific Application Requirements (submitted through online application)

Writing Sample None required

Additional Components Optional Video Essay: How would a Duke PhD training experience help you achieve your academic and professional goals? Max video length 2 minutes; record externally and provide URL in application.

We strongly encourage you to review additional department-specific application guidance from the program to which you are applying: Departmental Application Guidance

List of Graduate School Programs and Degrees

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Center for Computational Biology

Computational Biology PhD

The main objective of the Computational Biology PhD is to train the next generation of scientists who are both passionate about exploring the interface of computation and biology, and committed to functioning at a high level in both computational and biological fields.

The program emphasizes multidisciplinary competency, interdisciplinary collaboration, and transdisciplinary research, and offers an integrated and customizable curriculum that consists of two semesters of didactic course work tailored to each student’s background and interests, research rotations with faculty mentors spanning computational biology’s core disciplines, and dissertation research jointly supervised by computational and biological faculty mentors.

The Computational Biology Graduate Group facilitates student immersion into UC Berkeley’s vibrant computational biology research community. Currently, the Group includes over 46 faculty from across 14 departments of the College of Letters and Science, the College of Engineering, the College of Natural Resources, and the School of Public Health. Many of these faculty are available as potential dissertation research advisors for Computational Biology PhD students, with more available for participation on doctoral committees.

The First Year

The time to degree (normative time) of the Computational Biology PhD is five years. The first year of the program emphasizes gaining competency in computational biology, the biological sciences, and the computational sciences (broadly construed). Since student backgrounds will vary widely, each student will work with faculty and student advisory committees to develop a program of study tailored to their background and interests. Specifically, all first-year students must:

• Perform three rotations with Core faculty (one rotation with a non-Core faculty is acceptable with advance approval)
• Complete course work requirements (see below)
• Complete a course in the Responsible Conduct of Research
• Attend the computational biology seminar series
• Complete experimental training (see below)

Laboratory Rotations

Entering students are required to complete three laboratory rotations during their first year in the program to seek out a Dissertation Advisor under whose supervision dissertation research will be conducted. Students should rotate with at least one computational Core faculty member and one experimental Core faculty member. Click here to view rotation policy. 

Course Work & Additional Requirements

Students must complete the following coursework in the first three (up to four) semesters. Courses must be taken for a grade and a grade of B or higher is required for a course to count towards degree progress:

• Fall and Spring semester of CMPBIO 293, Doctoral Seminar in Computational Biology
• A Responsible Conduct of Research course, most likely through the Department of Molecular and Cell Biology.
• STAT 201A & STAT 201B : Intro to Probability and Statistics at an Advanced Level. Note: Students who are offered admission and are not prepared to complete STAT 201A and 201B will be required to complete STAT 134 or PH 142 first.
• CS61A : The Structure and Interpretation of Computer Programs. Note: students with the equivalent background can replace this requirement with a more advanced CS course of their choosing.
• 3 elective courses relevant to the field of Computational Biology , one of which must be at the graduate level (see below for details).
• Attend the computational biology invited speaker seminar series. A schedule is circulated to all students by email and is available on the Center website. Starting with the 2023 entering class, CCB PhD students must enroll in CMPBIO 275: Computational Biology Seminar , which provides credit for this seminar series.
• 1) completion of a laboratory course at Berkeley with a minimum grade of B,
• 2) completion of a rotation in an experimental lab (w/ an experimental project), with a positive evaluation from the PI,
• a biological sciences undergraduate major with at least two upper division laboratory-based courses,
• a semester or equivalent of supervised undergraduate experimental laboratory-based research at a university,
• or previous paid or volunteer/internship work in an industry-based experimental laboratory.

Students are expected to develop a course plan for their program requirements and to consult with the Head Graduate Advisor before the Spring semester of their first year for formal approval (signature required). The course plan will take into account the student’s undergraduate training areas and goals for PhD research areas.

Satisfactory completion of first year requirements will be evaluated at the end of the spring semester of the first year. If requirements are satisfied, students will formally choose a Dissertation advisor from among the core faculty with whom they rotated and begin dissertation research.

Waivers: Students may request waivers for the specific courses STAT 201A, STAT 201B, and CS61A. In all cases of waivers, the student must take alternative courses in related areas so as to have six additional courses, as described above. For waiving out of STAT 201A/B, students can demonstrate they have completed the equivalent by passing a proctored assessment exam on Campus. For waiving out CS61A, the Head Graduate Advisor will evaluate student’s previous coursework based on the previous course’s syllabus and other course materials to determine equivalency.

Electives: Of the three electives, students are required to choose one course in each of the two following cluster areas:

• Cluster A (Biological Science) : These courses are defined as those for which the learning goals are primarily related to biology. This includes courses covering topics in molecular biology, genetics, evolution, environmental science, experimental methods, and human health. This category may also cover courses whose focus is on learning how to use bioinformatic tools to understand experimental data.
• Cluster B (Computational Sciences): These courses are defined as those for which the learning goals involve computing, inference, or mathematical modeling, broadly defined. This includes courses on algorithms, computing languages or structures, mathematical or probabilistic concepts, and statistics. This category would include courses whose focus is on biological applications of such topics.

In the below link we give some relevant such courses, but students can take courses beyond this list; for courses not on this list, the Head Graduate Advisor will determine to which cluster a course can be credited. For classes that have significant overlap between these two clusters, the department which offers the course may influence the decision of the HGA as to whether the course should be assigned to cluster A or B.

See below for some suggested courses in these categories:

Suggested Coursework Options

Second Year & Beyond

At the beginning of the fall of the second year, students begin full-time dissertation research in earnest under the supervision of their Dissertation advisor. It is anticipated that it will take students three (up to four) semesters to complete the 6 course requirement. Students are required to continue to participate annually in the computational biology seminar series.

Qualifying Examination

Students are expected to take and pass an oral Qualifying Examination (QE) by the end of the spring semester (June 15th) of their second year of graduate study. Students must present a written dissertation proposal to the QE committee no fewer than four weeks prior to the oral QE. The write-up should follow the format of an NIH-style grant proposal (i.e., it should include an abstract, background and significance, specific aims to be addressed (~3), and a research plan for addressing the aims) and must thoroughly discuss plans for research to be conducted in the dissertation lab. Click here for more details on the guidelines and format for the QE. Click here to view the rules for the composition of the committee and the form for declaring your committee.

Advancement to Candidacy

After successfully completing the QE, students will Advance to Candidacy. At this time, students select the members of their dissertation committee and submit this committee for approval to the Graduate Division. Students should endeavor to include a member whose research represents a complementary yet distinct area from that of the dissertation advisor (ie, biological vs computational, experimental vs theoretical) and that will be integrated in the student’s dissertation research. Click here to view the rules for the composition of the committee and the form for declaring your committee.

Meetings with the Dissertation Committee

After Advancing to Candidacy, students are expected to meet with their Dissertation Committee at least once each year.

Teaching Requirements

Computational Biology PhD students are required to teach at least two semesters (starting with Fall 2019 class), but may teach more. The requirement can be modified if the student has funding that does not allow teaching. Starting with the Fall 2019 class: At least one of those courses should require that you teach a section. Berkeley Connect or CMPBIO 293 can count towards one of the required semesters.

The Dissertation

Dissertation projects will represent scholarly, independent and novel research that contributes new knowledge to Computational Biology by integrating knowledge and methodologies from both the biological and computational sciences. Students must submit their dissertation by the May Graduate Division filing deadline (see Graduate Division for date) of their fifth–and final–year.

Special Requirements

Students will be required to present their research either orally or via a poster at the annual retreat beginning in their second year.

• Financial Support

The Computational Biology Graduate Group provides a competitive stipend (the stipend for 2023-24 is $43,363) as well as full payment of fees and non-resident tuition (which includes health care). Students maintaining satisfactory academic progress are provided full funding for five to five and a half years. The program supports students in the first year, while the PI/mentor provides support from the second year on. A portion of this support is in the form of salary from teaching assistance as a Graduate Student Instructor (GSI) in allied departments, such as Molecular and Cell Biology, Integrative Biology, Plant and Microbial Biology, Mathematics, Statistics or Computer Science. Teaching is part of the training of the program and most students will not teach more than two semesters, unless by choice.

Due to cost constraints, the program admits few international students; the average is two per year. Those admitted are also given full financial support (as noted above): stipend, fees and tuition.

Students are also strongly encouraged to apply for extramural fellowships for the proposal writing experience. There are a number of extramural fellowships that Berkeley students apply for that current applicants may find appealing. Please note that the NSF now only allows two submissions – once as an undergrad and once in grad school. The NSF funds students with potential, as opposed to specific research projects, so do not be concerned that you don’t know your grad school plans yet – just put together a good proposal! Although we make admissions offers before the fellowships results are released, all eligible students should take advantage of both opportunities to apply, as it’s a great opportunity and a great addition to a CV.

• National Science Foundation Graduate Research Fellowship (app deadlines in Oct)
• Hertz Foundation Fellowship (app deadline Oct)
• National Defense Science and Engineering Graduate Fellowship (app deadline in mid-Fall)
• DOE Computational Science Graduate Fellowship (Krell Institute) (app deadline in Jan)

CCB no longer requires the GRE for admission (neither general, nor subject). The GRE will not be seen by the review committee, even if sent to Berkeley.

PLEASE NOTE: The application deadline is Wednesday, November 30 , 2023, 8:59 PST/11:59 EST

If you would like to learn more about our program, you can watch informational YouTube videos from the past two UC Berkeley Graduate Diversity Admissions Fairs: 2021 recording & 2020 recording .

We invite applications from students with distinguished academic records, strong foundations in the basic biological, physical and computational sciences, as well as significant computer programming and research experience. Admission for the Computational Biology PhD is for the fall semester only, and Computational Biology does not offer a Master’s degree.

We are happy to answer any questions you may have, but please be sure to read this entire page first, as many of your questions will be answered below or on the Tips tab.

IMPORTANT : Please note that it is not possible to select a specific PhD advisor until the end of the first year in the program, so contacting individual faculty about openings in their laboratories will not increase your chances of being accepted into the program. You will have an opportunity to discuss your interests with relevant faculty if you are invited to interview in February.

Undergraduate Preparation

Minimum requirements for admission to graduate study:

• A bachelor’s degree or recognized equivalent from an accredited institution.
• Minimum GPA of 3.0.
• Undergraduate preparation reflecting a balance of training in computational biology’s core disciplines (biology, computer science, statistics/mathematics), for example, a single interdisciplinary major, such as computational biology or bioinformatics; a major in a core discipline and a combination of interdisciplinary course work and research experiences; or a double major in core disciplines.
• Basic research experience and aptitude are key considerations for admission, so evidence of research experience and letters of recommendation from faculty mentors attesting to the applicant’s research experience are of particular interest.
• GRE – NOT required or used for review .
• TOEFL scores for international students (see below for details).

Application Requirements

ALL materials, including letters, are due November 30, 2023 (8:59 PST). More information is provided and required as part of the online application, so please create an account and review the application before emailing with questions (and please set up an account well before the deadline):

• A completed graduate application: The online application opens in early or mid-September and is located on the Graduate Division website . Paper applications are not accepted. Please create your account and review the application well ahead of the submit date , as it will take time to complete and requests information not listed here.
• A nonrefundable application fee: The fee must be paid using a major credit card and is not refundable. For US citizens and permanent residents, the fee is $135; US citizens and permanent residents may request a fee waiver as part of the online application. For all other students (international) the fee is $155 (no waivers, no exceptions). Graduate Admissions manages the fee, not the program, so please contact them with questions.
• Three letters of recommendation, minimum (up to five are accepted): Letters of recommendation must be submitted online as part of the Graduate Division’s application process. Letters are also due November 30, so please inform your recommenders of this deadline and give them sufficient advance notice. It is your responsibility to monitor the status of your letters of recommendation (sending prompts, as necessary) in the online system.
• Transcripts: Unofficial copies of all relevant transcripts, uploaded as part of the online application (see application for details). Scanned copies of official transcripts are strongly preferred, as transcripts must include applicant and institution name and degree goal and should be easy for the reviewers to read (print-outs from online personal schedules can be hard to read and transcripts without your name and the institution name cannot be used for review). Do not send via mail official transcripts to Grad Division or Computational Biology, they will be discarded.
• Essays: Follow links to view descriptions of what these essays should include ( Statement of Purpose [2-3 pages], Personal Statement [1-2 pages]). Also review Tips tab for formatting advice.
• (Highly recommended) Applicants should consider applying for extramural funding, such as NSF Fellowships. These are amazing opportunities and the application processes are great preparation for graduate studies. Please see Financial Support tab.
• Read and follow all of the “Application Tips” listed on the last tab. This ensures that everything goes smoothly and you make a good impression on the faculty reviewing your file.

The GRE general test is not required. GRE subject tests are not required. GRE scores will not be a determining factor for application review and admission, and will NOT be seen by the CCB admissions committee. While we do not encourage anyone to take the exam, in case you decide to apply to a different program at Berkeley that does require them: the UC Berkeley school code is 4833; department codes are unnecessary. As long as the scores are sent to UC Berkeley, they will be received by any program you apply to on campus.

TOEFL/IELTS

Adequate proficiency in English must be demonstrated by those applicants applying from countries where English is not the official language. There are two standardized tests you may take: the Test of English as a Foreign Language (TOEFL), and the International English Language Testing System (IELTS). TOEFL minimum passing scores are 90 for the  Internet-based test (IBT) , and 570 for the paper-based format (PBT) . The TOEFL may be waived if an international student has completed at least one year of full-time academic course work with grades of B or better while in residence at a U.S. university (transcript will be required). Please click here for more information .

Application Deadlines

The Application Deadline is 8:59 pm Pacific Standard Time, November 30, 2023 . The application will lock at 9pm PST, precisely. All materials must be received by the deadline. While rec letters can continue to be submitted and received after the deadline, the committee meets in early December and will review incomplete applications. TOEFL tests should be taken by or before the deadline, but self-reported scores are acceptable for review while the official scores are being processed. All submitted applications will be reviewed, even if materials are missing, but it may impact the evaluation of the application.

It is your responsibility to ensure and verify that your application materials are submitted in a timely manner. Please be sure to hit the submit button when you have completed the application and to monitor the status of your letters of recommendation (sending prompts, as necessary). Please include the statement of purpose and personal statement in the online application. While you can upload a CV, please DO NOT upload entire publications or papers. Please DO NOT send paper résumés, separate folders of information, or articles via mail. They will be discarded unread.

The Computational Biology Interview Visit dates will be: February 25-27, 2024

Top applicants who are being considered for admission will be invited to visit campus for interviews with faculty. Invitations will be made by early January. Students are expected to stay for the entire event, arriving in Berkeley by 5:30pm on the first day and leaving the evening of the final day. In the application, you must provide the names of between 7-10 faculty from the Computational Biology website with whom you are interested in conducting research or performing rotations. This helps route your application to our reviewers and facilitates the interview scheduling process. An invitation is not a guarantee of admission.

International students may be interviewed virtually, as flights are often prohibitively expensive.

Tips for the Application Process

Uploaded Documents: Be sure to put your name and type of essay on your essays ( Statement of Purpose [2-3 pages], Personal Statement [1-2 pages]) as a header or before the text, whether you use the text box or upload a PDF or Word doc. There is no minimum length on either essay, but 3 pages maximum is suggested. The Statement of Purpose should describe your research and educational background and aspirations. The Personal Statement can include personal achievements not necessarily related to research, barriers you’ve had to overcome, mentoring and volunteering activities, things that make you unique and demonstrate the qualities you will bring to the program.

Letters of Recommendation: should be from persons who have supervised your research or academic work and who can evaluate your intellectual ability, creativity, leadership potential and promise for productive scholarship. If lab supervision was provided by a postdoc or graduate student, the letter should carry the signature or support of the faculty member in charge of the research project. Note: the application can be submitted before all of the recommenders have completed their letters. It is your responsibility to keep track of your recommender’s progress through the online system. Be sure to send reminders if your recommenders do not submit their letters.

Extramural fellowships: it is to your benefit to apply for fellowships as they may facilitate entry into the lab of your choice, are a great addition to your CV and often provide higher stipends. Do not allow concerns about coming up with a research proposal before joining a lab prevent you from applying. The fellowships are looking for research potential and proposal writing skills and will not hold you to specific research projects once you have started graduate school.

Calculating GPA: Schools can differ in how they assign grades and calculate grade point averages, so it may be difficult for this office to offer advice. The best resource for calculating the GPA for your school is to check the back of the official transcripts where a guide is often provided or use an online tool. There are free online GPA conversion tools that can be found via an internet search.

Faculty Contact/Interests: Please be sure to list faculty that interest you as part of the online application. You are not required to contact any faculty in advance, nor will it assist with admission, but are welcome to if you wish to learn more about their research.

Submitting the application: To avoid the possibility of computer problems on either side, it is NOT advisable to wait until the last day to start and/or submit your application. It is not unusual for the application system to have difficulties during times of heavy traffic. However, there is no need to submit the application too early. No application will be reviewed before the deadline.

Visits: We only arrange one campus visit for recruitment purposes. If you are interested in visiting the campus and meeting with faculty before the application deadline, you are welcome to do so on your own time (we will be unable to assist).

Name: Please double check that you have entered your first and last names in the correct fields. This is our first impression of you as a candidate, so you do want to get your name correct! Be sure to put your name on any documents that you upload (Statement of Purpose, Personal Statement).

California Residency: You are not considered a resident if you hope to enter our program in the Fall, but have never lived in California before or are here on a visa. So, please do not mark “resident” on the application in anticipation of admission. You must have lived in California previously, and be a US citizen or Permanent Resident, to be a resident.

Faculty Leadership Head Graduate Advisor and Chair for the PhD & DE John Huelsenbeck ( [email protected] )

Associate Head Graduate Advisor for PhD & DE Liana Lareau ( [email protected] )

Equity Advisor Rasmus Nielsen ( [email protected] )

Director of CCB Elizabeth Purdom ( [email protected] )

Core PhD & DE Faculty ( link )

Staff support Student Services Advisor (GSAO): Kate Chase ( [email protected] )

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SOP for Bioinformatics and Computational Biology

“I Can, I Will and I Must”

The above words have always been a key point behind my learning. It has helped me frame my targets and reach the goals of my career so far. I have been blessed to have parents who instilled me with good values and principles. They have supported me in accomplishing the goals I have set forth.

With this mindset I gathered knowledge to succeed in my studies and to be one of the best in my class. At the school level I used to question myself as to how could these DNA, proteins and enzyme perform their heavy load of work by being small and tiny molecules. Then I decided that after my school I should pursue my education in biological sciences. My relentless hard work coupled with calibrated self-confidence rewarded me with a distinction of 92.14% in my matriculation exam. My puerile passion and interests towards biology and mathematics turned out into realities when I secured 98% in biology and 99% in mathematics during my 12th grade examinations.

An enormous number of challenges, thrown out by rapid development in Science and technology have made me choose engineering profession. The burning fire in me to study biological science has led me to take Industrial Biotechnology in EDITED college of Technology affiliated to Anna University one of the world renowned university. It was here that my unquenchable thirst for knowledge and desires to succeed were given full form and in the field of biotechnology. I have been exposed to many fields of study like biochemistry, cell biology, bioinformatics, microbiology, molecular biology, genetics, genetic engineering, protein engineering, enzyme engineering, immunology, bioprocess engineering and animal biotechnology. I volunteered to take part in National level seminars and symposia in and outside college on various topics such as ‘Bioleaching’, ‘golden rice’, ‘Anti-sense technology’ and ‘Starch blockers’ where I could bring out my presentation and oratorical skills in my reports and speeches. In the second year of study I fermented wine from grape juice and exhibited the fermenter model in an All India Conference of Indian Society for Technical Education.

I spent a lot of time in reading journals like ‘Nature’, ‘Advanced Biotechnology’, ‘Phytochemistry’ and ‘Phyotomedicine’ and I made a question to myself that why cant I being a student in a well renowned college do innovative project and publish it in international journals. Thus I started thinking for an innovative project and from my journal and magazine studies I came to know that many of the synthetic drugs used for the treatment of diabetes causes severe side affects and toxicity. So, I proposed the way of using medicinal plants which does not have side effects for the treatments of diabetes and my idea was welcomed by my professors in our college. I started my mini-project tiled “Screening of alpha-Amylase inhibitor from medicinal plants” and my objective was to slow down the pancreatic alpha-amylase enzyme activity which is responsible for the break down of dietary starches into glucose so that we can reduce the usual rise in blood sugar (hyperglycemia) levels of both healthy and diabetic people. Though beginning months of my work met with series failures my professors words that “every failure is a lesson” encouraged me and at my third year end I have successfully screened out medicinal plants Syzygium cumini Linn seeds, Cassia auriculata and Ocimum sanctum having the anti-diabetic property. I have learnt both from my victories and failures.

In final year of study my proposal to identify the structure of anti-diabetic compounds in the medicinal plants has been approved and financially supported by TNSCST (Tamilnadu state council for science and technology) and I feel very happy to say that my project is the only project in our college to get the approval and financial support from TNSCST. With a strong zeal I started up the final year project titled “Identification of starch blocker in medicinal plants” with a team of two members and it is guided by three experienced professors Dr.S.Edited, Dr.T.Edited and Dr.B.Edited. I have gained the practical knowledge while working along with those experienced researchers and at the end I have successfully found the structure of anti-diabetic compounds in the medicinal plants and I have sent two of my research papers to international journals, Journal of Enzyme Inhibition & Medicinal Chemistry and International journal of phytomedicine respectively and it is awaiting for publication and for all my diligence work I received the TNSCST AWARD in our college. I am very proud and satiated with the hope my paper will publish in the international journals and make my dreams to come true.

It is my conviction that a perfect professional is not born merely out of reading books but also through the acquisition of knowledge from various other sources. To gain my practical exposure in the field of biotechnology, I have undergone in-plant training and worked on project titled “Biochemical characterization of cellulase in SPIC (Southern petrochemical industries corporation limited)”, summer training in Pasteur Institute of India, one of the leading vaccine production industry in India and trained in effluent treatment plant in TNPL (TamilNadu Newsprint and Papers Limited). I also had a day interaction with the scientist at IARI (Indian Agricultural Research Institute) on “Wheat Improvement Programme”. Apart from this as a part of our college curriculum we have visited leading biotech companies in India such as Biocon , Shantha biotech and Genei.

I feel that extra curricular activities are as important as studies in estimating a person’s overall capacity. So I became a member of N.S.S of our college which helped me to help the poor. I was an active member of Yoga and Indian society of technical education (ISTE)

While finding the structure of the compounds in my project I encountered with the tools of bioinformatics and I feel that the wet lab analysis of the research can be made easier and faster by using the bioinformatics tools. I understand bioinformatics & computational biology as a general approach toward the solution of scientific problems. This scientific quest in understanding the complexities and orders in the biological systems has made me opt for the bioinformatics & computational biology graduate programme.

The tarmac for attaining my target is well paved right from my schooling and so am I here desiring for a Masters program in the Arizona state university-which has a stress on research studies on various nuances of Biotechnology. I was inspired by the vastness of research those professors in this department do. Dr. Lokesh Joshi’s research on posttranslational modification of biomolecules and the work of Dr. Vincent B. Pizziconi on bioresponsive and biomimetic materials cannot go without saying and really looking forward to be a part of it.

I feel that graduate study at your University will be the most logical extension of my academic pursuits and a major step towards achieving my objectives. I would be grateful to you if I am given the opportunity to pursue my graduate studies with financial assistance at your institution and am able to justify your faith in me. I look forward to satiate my evergreen forte and passions starting at Arizona.

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• PhD in Bioinformatics

The PhD in Bioinformatics program offers unique interdisciplinary training for graduate students in the science, engineering, medicine, and ethics of twenty-first-century cell biology jointly through the College of Engineering and the Graduate School of Arts & Sciences. The program aims to prepare top researchers for careers in both academia and industry in the areas of molecular life sciences. In order to be admitted, students need at least a bachelor’s degree in a field related to bioinformatics, preferably one with a strong component in mathematics and computer science.

Learning Outcomes

Students graduating with a PhD in Bioinformatics are expected to:

• Demonstrate mastery of the core concepts of Bioinformatics: These include (a) advanced methods in computational biology, (b) the chemical principles that underlie biochemistry, molecular biology, and genomics, (c) the design and implementation of relational databases, (d) fundamental methods in probability and statistics, and (e) the construction of predictive mathematical models of biological systems.
• Be capable of using critical thinking and research methods in Bioinformatics to understand computational and experimental data. In addition to formal coursework, this ability will be learned and demonstrated in (a) dissertation research and (b) presentations at scientific meetings, graduate seminars, student seminars, and qualifying examinations.
• Demonstrate the ability to produce and present original research in Bioinformatics. The most important manifestation of this outcome is publication of peer-reviewed research papers on dissertation research, and, in particular, papers with the trainee as first author. The Challenge Project, seminar presentations, and presentations at meetings also demonstrate this outcome.
• Conduct scholarly activities in a professional and ethical manner.
• Develop the ability to communicate clearly the meaning, potential impacts, and risks associated with one’s research activities to a nontechnical audience in ways that confer a sense for its value to society.

Course Requirements

The PhD requires a total of 64 course credits, consisting of the 36 required credits listed below, or their equivalents, and additional elective lecture, laboratory, and research credits. The precise course of study will be determined in consultation with faculty advisors and will reflect the student’s background and interests. In order to be admitted to PhD candidacy, students must demonstrate mastery of the required subject matter (no lower than a B in each of the required courses). Course requirements are as follows:

• ENG BE 562 Computational Biology: Genomes, Networks, Evolution (4 cr)
• CAS CS 542 Machine Learning (4 cr)
• ENG BF 571 Dynamics and Evolution of Biological Networks (4 cr)
• ENG BF 768 Biological Database Systems (4 cr)
• GRS MA 770 Mathematical and Statistical Methods of Bioinformatics (4 cr)
• CAS BI 565 Functional Genomics (4 cr)
• ENG BF 751 Molecular Biology and Biochemistry: Molecules and Processes (4 cr)
• ENG BF 690 Bioinformatics Challenge Project (2 cr each; 4 total)
• ENG BF 752 Legal and Ethical Issues of Science and Technology (4 cr)
• ENG BF 810 Laboratory Rotation System (1 cr each, 3 total)
• ENG BF 820 Research Opportunities in Bioinformatics (1 cr)
• ENG BF 821 Bioinformatics Graduate Seminar (2 cr each)
• GRS MA 681 Accelerated Introduction to Statistical Methods for Quantitative Research (4 cr)
• One nonresearch elective course (4 cr)
• A minimum of 2 research credits

Fulfillment of required course equivalents will be determined based on documented previous academic and/or work experience. The student and their advisors will petition the curriculum committee for such equivalencies. When either past work or an alternate course has been accepted as a required course equivalent, the student’s advisors will recommend another course to fulfill the 36 core credit hours. Advanced elective courses should be taken in place of any waived course requirements.

Qualifying Examination

Students must pass an oral qualifying exam in order to advance to the level of PhD candidacy. The goal of the exam is for the student to demonstrate their general proficiency in bioinformatics, as well as command of the area(s) in which they intend to conduct research. All parts of the qualifying examination must be passed before the dissertation or thesis prospectus will be accepted by the Graduate School of Arts & Sciences.

Students must schedule their qualifying exam by March 31 of their second year, and must take the exam by June 30. Students who fail to pass the exam on their first try are allowed a second attempt, to be scheduled and completed by the end of the first semester of their third year.

Language Requirement

There is no foreign language requirement for the bioinformatics degree. However, basic mastery of spoken and written English, as determined by oral presentations, written reports, and publishable manuscripts, is a requirement for the PhD.

Dissertation and Final Oral Examination

Candidates shall demonstrate their abilities for independent study in a dissertation representing original research or creative scholarship. A prospectus for the dissertation must be completed and approved by the readers, the Director of Graduate Studies, and the Department Chair/Program Director. Candidates must undergo a final oral examination in which they defend their dissertations as a valuable contribution to knowledge in their field and demonstrate a mastery of their field of specialization in relation to their dissertation. All portions of the dissertation and final oral examination must be completed as outlined in the GRS General Requirements for the Doctor of Philosophy Degree .

Students who complete the required core courses but are unable to successfully complete all of the requirements for the PhD will be eligible to be awarded a master’s degree.

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The Bioinformatics PhD Program is well established, with a long history of successful graduates in both academia and industry.  

• How to Apply
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• Frequently Asked Questions

To apply for the Bioinformatics PhD Program, you must submit complete applications by December 1 for admission the following Fall term. Early applications are not allowed and will not be considered. 

Please visit the Rackham Graduate School web pages for additional information on applying. There you will also find information on how to respond to an offer of admission, plus tips and materials required for international applicants and incoming students.

If you are certain about pursuing a Bioinformatics PhD, then applications should be submitted directly to the Bioinformatics PhD Program ; there are more than 100 diverse affiliated faculty to choose from.

Applicants should be U.S. citizens or permanent residents. In addition, applicants with a background in quantitative sciences should consider applying directly. Separately, if you are transferring from another University of Michigan Program or have obtained an established University of Michigan mentor affiliated with the program, a direct application is most appropriate.

PIBS is an umbrella program that offers first-year PhD students flexibility in exploring opportunities in bioinformatics and thirteen other graduate programs. Through PIBS, students have the opportunity to rotate in, and potentially join the lab of a faculty mentor in another program; there are more than 500 diverse faculty to select from. PIBS students who list Bioinformatics as their primary choice must complete at least one rotation with a Bioinformatics-affiliated faculty member. After 10 months in PIBS, students officially join Bioinformatics (or one of the other programs). You can visit the PIBS website for more information.

Please note that reviewing admissions faculty for both PIBS and direct applications are the same. In addition, admitted applicants take the same Bioinformatics-specific courses and activities. See below for details on program diversity outreach, application materials, and funding.

Students who will have an MS in a relevant field (e.g. computer science, statistics, biostatistics, biology) from another university may request to have up to 6 credit-hours (two classes) waived. These classes may be used to help fulfill the core PhD requirements for biology (1 course), statistics (2 courses), and/or computing (1 course). To obtain approval, students need to send a detailed syllabus of the class(es) they took to the PhD directors along with their grade(s), which must be a B or better. The other PhD course requirements, including BIOINF-529 and two advanced bioinformatics courses, cannot be waived. Approval is at the program's discretion; no classes can be transferred to the PhD.

Most international Bioinformatics PhD applicants should apply through PIBS. However, some who are already embedded in a University of Michigan mentor lab affiliated with the program may be an appropriate fit for the direct Bioinformatics PhD program.

The TOEFL or IELTS exam is required unless Rackham Graduate School waiver requirements have been met. Criteria for English proficiency exemption can be found on the Rackham website . In addition, a list of required credentials from non-U.S. institutions for an application can be found here.

The Bioinformatics Graduate Program encourages applications from traditionally underrepresented minorities, students with disabilities, and those from disadvantaged backgrounds. There are numerous funding opportunities and resources on campus to contribute to students overall well-being while pursuing studies. Several resources available to students can be found on the Rackham Graduate School Diversity, Equity, and Inclusion website .

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All application materials should be submitted electronically when possible. Applicants must meet  Rackham's Minimum Requirements for Admission . The  online application form  can be found on the Rackham Admissions webpages. The application is available in early September through the deadline. 

• GPA, minimum 3.2/4.0 (exceptions may be made if deemed appropriate)
• Letters of recommendation (3 required): Please be aware that submitting only the Rackham Recommendation for Admission Form is insufficient; forms must be accompanied by a letter from the recommender. All letters are due by the application deadline. Without them, applications will not be considered complete or reviewed by the Program Admissions Committee.
• Statement of Purpose: The Statement of Purpose should be a concise, well-written statement about your academic and research background, your career goals, and how Michigan's graduate program will help you meet your career and educational objectives.
• Personal Statement: The Personal Statement should be a concise, well-written statement about how your personal background and life experiences, including social, cultural, familial, educational, or other opportunities or challenges, motivated your decision to pursue a graduate degree at the University of Michigan. This is not an Academic Statement of Purpose, but a discussion of the personal journey that has led to your decision to seek a graduate degree.
• Transcripts: Please submit unofficial transcripts electronically with your online application
• GRE scores are no longer included as part of admission
• Applicants whose first language is not English must demonstrate English proficiency via either the TOEFL or IELTS exam. The institution code is 1839. Other exams may not be substituted. The program requires a minimum of 100 TOEFL or 7.5 IELTS. Rackham Graduate School offers a full explanation of this requirement , including exemption criteria. Please contact Rackham directly ( [email protected] ) with questions.

Diversity is a key component of excellence, especially for solving the complex biomedical challenges that our field of computational medicine and bioinformatics faces. We believe that all people—regardless of background, race, religion, sexual/gender orientation, age or disability—deserve an equitable opportunity to pursue the education and career of their choice.

The Bioinformatics Graduate Program will provide tuition, healthcare coverage, and a stipend on a 12-month basis. This level of support will be maintained throughout a student's tenure in the Program, provided s/he remains in good academic standing and makes reasonable progress towards the degree as determined by the Graduate Directors, with faculty input. It is expected that the student will be supported directly by the mentor's laboratory, beginning in the second year. The expected time to degree is typically 5-6 years.

The U-M MS program is a terminal degree program. If you are interested in the Bioinformatics PhD Program, you must submit a new application. If you are a Bioinformatics MS student who is in good academic standing and has identified a Bioinformatics affiliated faculty mentor, you may apply for admission directly to the PhD Bioinformatics Program for the Winter term. Reviewing faculty take all application components into account and mentors are prepared to take both academic and financial responsibility for their trainees.

Eligibility: Only current or recently graduated University of Michigan Master’s students are eligible. Before applying, students must have completed more than half of all required courses, with at least six credits from the Bioinformatics Program.

Application deadline: October 1

The online application form can be found on the Rackham Admissions webpages. The application is available in early September through the deadline.

• Letters of recommendation: Please be aware that submitting only the Rackham Recommendation for Admission Form is insufficient; forms must be accompanied by a letter from the recommender. If you wish to include three letters from your original application, only one additional letter is needed. It must be from the DCMB faculty member who will serve as your primary mentor. The letter should state clearly that the mentor takes responsibility for your funding upon admission. Alternatively, you may wish to obtain three new letters of recommendation. The Admissions Committee strongly encourages you to include letters from those familiar with your research and coursework obtained while pursuing your Master’s degree. Of these, one must be from the faculty member who will serve as your primary mentor. The letter should state clearly that the mentor takes responsibility for your funding upon admission.
• Statement of Purpose: The Statement of Purpose should be a concise, well-written statement about your academic and research background, your career goals, and how the PhD Program will help you meet your career and educational objectives.
• Transcripts: Only a current, unofficial U-M transcript is necessary. You do not need to re-submit materials included with your Master’s application.
• TOEFL: If you submitted TOEFL scores when applying to the Master’s Program, additional test scores are not needed.

As an interdisciplinary field, Bioinformatics attracts graduate students from mathematics, statistics, physics, computer science, biomedical engineering, chemistry, biochemistry and biology. Most incoming students have both a major in one and a minor in another discipline. In recent years students have entered with undergraduate training in bioinformatics or computational biology.

Each student obtains individual counseling from a graduate program advisor upon arrival and throughout their academic career. As Bioinformatics is still developing, new courses are added all the time. Current students are encouraged to contact the Program Directors about courses that may be relevant to their studies and are not listed on the website (esp. if they are new or infrequently offered).

In most cases, we recommend you apply to the PIBS program, as it provides flexibility in classes, funding, and a central admission for many biomedical programs. If you have no or very little biology background, please contact our Student Services Representative as to whether a direct application would be better. Current students who are considering transferring areas of study should also contact the Bioinformatics Graduate Office .

There is no need to apply both direct and through PIBS, as the same committee sees your applications.

For most students, dissertation work includes computing, reading, writing and some also participate in wet laboratory work. Please check both the research areas and student webpages for an overview of the varied subjects addressed in research and student dissertations.

Many of our graduate students obtain academic postdoctoral fellowships and go on to faculty positions. A significant number of graduates also go into non-academic professions such as small or large biotech companies. Some have founded their own business, and others apply their analytical skills in companies unrelated to bioinformatics. 

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QUANTITATIVE AND

COMPUTATIONAL BIOLOGY

PhD ADMISSIONS

The PhD. program in Computational Biology and Bioinformatics at the University of Southern California invites applications of qualified candidates.

Computational Biology and Bioinformatics P.h.D. Program Admissions

Ph.D. QUICK LINKS

Applying and Deadline

Motivated students having biological backgrounds with solid quantitative knowledge, or those having quantitative background such as computer science/mathematics and statistics/physics/chemistry with an interest in biology are encouraged to apply. The applications must be made through the Graduate Admissions Online Application System . The program deadline is December 15th. All supporting documents must be submitted by the deadline in order for your application to be considered in the review process. Review of applications will begin on December 1st. A PDF of our PhD recruitment flyer can be downloaded here .

Eligibility for Application

Entry into the Computational Biology and Bioinformatics PhD program requires a Bachelor degree (or equivalent) in a related subject from an accredited four-year college and three letters of recommendation.

Application Requirements

Required Materials for Domestic Students:

Transcripts from all colleges and universities attended

Three letters of recommendation

Online Application (We no longer accept paper applications)  

Required Materials for International Students:

TOEFL scores

Online Application (We no longer accept paper applications)

NOTE - We no longer require the GRE.

Please attach an unofficial transcript, statement of purpose, and any other supplemental application materials as supplemental documents in your online application.

Your statement of purpose for the Graduate School application should explain both why you wish to pursue graduate study in Computational Biology and, more specifically, why you wish to do so at USC. We admit a small number of students each year in order to offer them full financial support; we therefore seek to find applicants whose interests best suit our program.

Unofficial copies of TOEFL score for international applicants are acceptable for evaluation purposes, but if offered admission, an applicant will be required to send official documentation.

Please submit your letters of recommendation electronically through the Apply Yourself application system. When you have submitted the online application, arrange for your transcripts ,  and TOEFL scores (for international applicants)  to be sent directly to the USC Graduate School according to their requirements.

NOTE: When listing undergraduate/graduate GPAs (grade point averages) on the application, please use the system of your university. If you received a percentage grade, provide the average percentage. If you were graded on a scale other than 4.0 (with 4.0 equal to an "A"), please indicate the average grade AND indicate the scale (for example, 8.5/10).

Financial Aid

All students in the Computational Biology and Bioinformatics Program will be provided with financial support for a period of 5 years. These awards are teaching and/or research assistantships. There is no separate application required.

Teaching and research assistantships provide full tuition remission, payment of student health center fee, and student health and dental insurance, and the monthly stipend for living expenses for the academic year. 

Contact and Mailing Address

PhD Program in Computational Biology and Bioinformatics (CBB)

Department of Quantitative and Computational Biology (QCB) University of Southern California  1050 Childs Way, RRI 408F  Los Angeles, CA 90089-2910  Fax: 213.821.4257

Email: [email protected] or Christian Robbie ( [email protected] )

Submit Application: https://gradadm.usc.edu/apply/

Admissions Requirements for Bioinformatics Ph.D. Program

Thank you for your interest in the Bioinformatics & Systems Biology Graduate Program at UC San Diego. This is a full-time PhD program. Students are admitted as full-time PhD students. We do not admit "Masters-only" students.

Admission is in accordance with the general requirements of the graduate division. Candidates should have a quantitative or computational track record and a passion for working on challenging research questions in interdisciplinary areas across biology, medicine, computational sciences and engineering. The most competitive applicants have an undergraduate degree majoring in any of the disciplines in the biological sciences, the physical sciences, computer science, or mathematics, and a strong background in the complementary disciplines.

Applicants must apply online at  https://gradapply.ucsd.edu  and must submit a completed UC San Diego Application for Graduate Admission (use major code BF76). Applicants indicate their priority interest in the Bioinformatics and Systems Biology Track or the Biomedical Informatics Track;  please see this page for further information on each track.

Fall 2024 Application Deadline: Wednesday November 29, 2023.  Applications with fee waiver requests are due a week earlier.

Please expand the sections below for more information.

Online application

UCSD offers an online application for the Bioinformatics & Systems Biology Graduate Program. Hard copy applications are not available. Apply online at  https://gradapply.ucsd.edu  (use major code  BF76 ). The online application system opens mid-September.

Students are only admitted during the fall quarter.  The Fall 2024 Application Deadline is Wednesday November 29, 2023.  Applications with fee waiver requests are due a week earlier.

Please send test scores to

• Institution Code  4836  (UC San Diego)
• GRE Department Code  0224  (Bioinformatics)
• TOEFL Department Code  69  (Engineering, other)

For further admission information, students should see the  Admissions FAQ  or contact the Bioinformatics and Systems Biology graduate coordinator via e-mail at  [email protected]  or at (858) 822-0831.

To check the status of application materials that you have submitted, please  email the Graduate Coordinator  with your Name, Date of Birth, and Email Address used on your application. An email containing the status of your application will ONLY provide information verifying receipt of supplementary materials (transcripts, letters, etc.). Official notification of admission is distributed directly from the campus-wide Graduate Education office (GEPA).

Application materials and admission review

Admission review will be on a competitive basis based on the combined elements of the application, which include:

• Undergraduate / graduate transcripts  (unofficial transcripts suffice for the application; English translation must accompany transcripts written in other languages)
• Graduate Record Examination (GRE) General Test scores   (optional for Fall 2024 admissions cycle; see notes below)
• TOEFL scores  (required ONLY for international applicants whose native language is not English and whose undergraduate education was conducted in a language other than English)
• Statement of Purpose
• 3 Letters of Reference  from individuals who can attest to the academic competence and to the depth of the candidate’s interest in pursuing graduate study
• Curriculum Vitae
• Short answers to questions
• Additional Educational Experience ( optional ; categories include: Community Involvement, Leadership, Overcoming Adversity, Personal or Professional Ethics, Research, Social Justice Experience, Other).  These responses will also allow you to be considered for Graduate Division Fellowships.

All applications will be screened and evaluated by the Admissions Committee with input from program faculty. Important factors in the holistic review of the application include:

• Nature and quality of the undergraduate program
• Undergraduate track record and other scholastic achievements
• Preparation in quantitative and biomedical subject areas  (see for example)
• Proficiency with computation
• Previous research experience, if any
• Publications, if any
• Evidence of qualities needed for success in graduate programs such as motivation, initiative, independence, commitment, and career plans
• Interest in the program faculty
• Additional educational experience

Strong applications will demonstrate aptitude for critical thinking, quantitative reasoning, computational and/or research experience, community engagement, motivation, initiative and perseverance.

Notes for applications for Fall 2024 admissions

• Due to the impact of COVID-19, GRE General Test scores are optional for applications for Fall 2024 admissions.  We encourage applicants to use GRE scores to the best effect for their applications. For our program, GRE General Test scores are considered as evidence of quantitative and analytical reasoning abilities. We encourage reporting of scores that provide support for this. Further context can be provided in the Statement of Purpose.
• The application form for Fall 2024 admissions includes an optional COVID-19 Personal Statement section to address any impacts due to COVID-19.
• For applicants who are required to take the TOEFL iBT or IELTS, we have added additional options for applications for Fall 2024 admissions: the TOEFL iBT Special Home Edition; and the IELTS Indicator. See more info  here.

Applicant Outreach Sessions

Are you an undergraduate who (i) is interested in learning about research as a career, or (ii) already has a passion for research and wants to learn more about the PhD path? If so, students of the UCSD Bioinformatics and Systems Biology PhD program are putting on a student-led info session aiming to:

• Encourage undergraduate students to consider PhD programs as one of the fastest paths to leadership positions in academia or industry. We go over common requirements for (i) most STEM PhD programs, (ii) typical requirements of Bioinformatics PhD programs, and (iii) the specific requirements of the UCSD Bioinformatics PhD program.  
• Raise awareness of the benefits of the PhD path. We want students to know that (i) you are paid a living wage as a PhD student, (ii) you typically don’t pay tuition for most Bioinformatics PhD programs, (iii) what the day-to-day life of a PhD researcher is like.  
• Provide mentorship (limited availability) to undergraduates who are interested in applying to the UCSD Bioinformatics PhD program. This includes either a one-on-one meeting with a current UCSD Bioinformatics and Systems Biology PhD student and/or a review of application materials. If the student doesn't have the experiences or the classwork yet, we will advise them how to gain those experiences so they can have a competitive application next year.

How do I sign up?

• The live info session will be held on Wednesday, November 1, 2023 at 3pm PDT.
• One-on-one appointments and application advising will be available through mid-November 2023.
• sign up for the info session;
• sign up for a mentoring session;
• request an application review;
• or submit a question about the application process to current students.

Past info sessions

• Nov 2023: [video] [slides]
• Oct 2022: [video] [slides]
• Nov 2020: [video] [tips & resources from students]

Graduate Programs

Computational biology.

The Center for Computational Molecular Biology (CCMB) offers Ph.D. degrees in Computational Biology to train the next generation of scientists to perform cutting edge research in the multidisciplinary field of Computational Biology.

During the course of their Ph.D. studies students will develop and apply novel computational, mathematical , and statistical techniques to problems in the life sciences. Students in this program must achieve mastery in three areas - computational science, molecular biology, and probability and statistical inference - through a common core of studies that spans and integrates these areas.

The Ph.D. program in Computational Biology draws on course offerings from the disciplines of the Center’s Core faculty members. These areas are Applied Mathematics, Computer Science, the Division of Biology and Medicine, the Center for Biomedical Informatics, and the School of Public Health. Our faculty and Director of Graduate Studies work with each student to develop the best plan of coursework and research rotations to meet the student’s goals in their research focus and satisfy the University’s requirements for graduation.

Applicants should state a preference for at least one of these areas in their personal statement or elsewhere in their application. In addition, students interested in the intersection of Applied Mathematics and Computational Biology are encouraged to apply directly to the  Applied Mathematics Ph.D. program , and also to contact relevant  CCMB faculty members .

Our Ph.D. program assumes the following prerequisites: mathematics through intermediate calculus, linear algebra and discrete mathematics, demonstrated programming skill, and at least one undergraduate course in chemistry and in molecular biology. Exceptional strengths in one area may compensate for limited background in other areas, but some proficiency across the disciplines must be evident for admission.

Additional Resources

CCMB computing resources include a set of multiprocessor computer clusters and data storage servers with 392 processors. The CCMB Cluster is the largest dedicated computing system on campus for computational biology and bioinformatics applications. See also answers to  frequently asked questions .

Application Information

Application requirements, gre subject:.

Not required

GRE General:

Personal statement:.

Applicants will be asked a series of short form questions regarding their interest in computational biology, their research experiences, and their goals for the future. 1) Describe the life experiences that inspired you to pursue a career in science. 2) Describe at least one research experience you have had that prepared you intellectually/ scientifically for a career in computational biology. 3) Explain at least one challenge you have overcome in life or research to pursue a scientific career and what you have learned from this experience. 4) Discuss any broader impacts that you have had on your community (e.g. family, educational institution, or broader community). 5) Why would you like to pursue your PhD in the Brown CCMB program? (Include at least two faculty members who you would like to work with at Brown and why.)

Dates/Deadlines

Application deadline, completion requirements.

Six graduate–level courses, two eight–week laboratory rotations, preliminary research presentation, dissertation, oral defense

Contact and Location

Center for computational molecular biology, location address, mailing address.

• Program Faculty
• Program Handbook
• Graduate School Handbook

Bioinformatics and Computational Biology

1. The Golden Identification Program is not eligible for Continuing Education Programs (Graduate, Post-Baccalaureate, Non-Credit Learning) administered through the Office of Extended Studies. To learn more about Golden ID,  click here .

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Degree Requirements

The following is a brief synopsis of the general degree requirements; please see the Informatics Institute  web site for complete details:

• Students must take required and area courses.
• Students must pass a qualifying examination.
• Students must present at least one institutional seminar annually.
• Students are required to complete a comprehensive exam, which includes written and oral elements, within a specified time frame.
• Students must pass a comprehensive examination at least 7 months before their scheduled defense.
• Students must submit and defend a dissertation describing the results of successful and original research in one of the branches of informatics.
• To show research progress, students are expected to be working toward presenting at conferences and publishing in peer-reviewed journals based on their informatics research.

Coursework Requirements

All students must have at least 72 credit hours at the graduate level, of which 15 credits must be at the 8000-level not including research, problems, lab rotations, or seminar.  Transferring credits will be at the recommendation of the student's doctoral committee and the approval of the MUII Curriculum Committee.

Qualifying Exam Process

Students are expected to take the qualifying exam by the end of their third semester in the program. The exam will be based on their previous coursework, lab rotation experience, and one-page research statement. For more information on qualifying exam procedures, please see the MUIDSI student handbook .

Comprehensive Exam Process

The comprehensive exam consists of two parts - the written portion, comprised of an R01 research proposal, and the oral exam. For more information on the comprehensive exam process, please see the MUIDSII student handbook .

Dissertation Defense Process

The doctoral dissertation defense must be scheduled no sooner than seven months after successful completion of the comprehensive exam. The dissertation must be written on an informatics subject approved by the candidate's doctoral program committee, must embody the results of original and significant investigation, and must be the candidate's own work. Please refer to the MUIDSII student handbook for additional information.

Admission Contact Information

MUIDSI Staff (mailto:  [email protected] ) 22 Heinkel Building Columbia, MO 65211-2060 Phone: 573-882-9007 FAX: 573-884-8709 Institute for Data Science and Informatics website: https://muidsi.missouri.edu/

Admission Criteria

Fall deadline: The deadline for Fall admission is March 1. However, to be considered for departmental and Graduate School fellowships and assistantships, applications should be submitted by January 15.

• Preferred GPA: 3.3 out of 4.0
• Preferred GRE scores * :

 or a preferred GMAT score of 570

• Preferred TOEFL OR IELTS scores**:

All Required Documents

Students are required to send ALL required application materials through the Office of Graduate Schools on-line application system. To begin your application, please see the  ApplyYourself website .

• Curriculum Vitae
• Statement of Purpose, which should include a summary of why the applicant is interested in pursuing an advanced informatics degree, a brief description of your previous research experiences, the specific area of informatics you are interested in pursuing, and your future career goals and plans in the informatics field.
• GRE/GMAT scores.  Use institution code 6875.  The departmental code is not required.
• TOEFL/ELTS scores for international applicants, if required. 
• Three letters of recommendation from faculty or supervisors who can evaluate the applicant’s credentials and potential to become successful in the area of informatics.
• Scanned copies of transcripts from each college and university attended. If accepted, applicants will be required to have official copies of their transcripts sent directly from the institution to the Graduate School.

Optional Documents

Applicants are encouraged to submit representative publications in informatics, if available.

Exceptional Funding Opportunities - Biomedical Big Data Science Pre-doctoral Training

Funded by NIH T32 (2016-2021)

MU Informatics Institute (MUII) is recruiting SIX top-notch trainees to pursue PhD degree in Informatics through an interdisciplinary training team. Students from basic sciences, life sciences, medicine, and computing disciplines are welcome to apply. Our unique training includes: (1) personalized training modules from core courses of the MS degree in Data Science and Analytics program, Big Data courses from Computer Science, and biomedical informatics courses from MUII, which will expose trainees to the basic concepts, ethics, and working knowledge in Big Data Science; (2) a problem-based learning curriculum in pre-doctoral-level Big Data-related courses, such as Mining Massive Data Sets for Biomedical Applications, designed to foster a team science approach to problem-solving; (3) a student-driven journal club/seminar series, in which students are offered opportunities to present research, pose questions, and receive feedback from peers and mentors. Our interdisciplinary components include (1) required tri-lab rotations to introduce students to animal/veterinary medical research, human medical research, computing/statistical methodologies, and health communications; (2) development of rigorous and reproducible open-source Big Data analytics tools, which will be assessed by the One Health research community after arduous testing; and (3) creation of an Individual Development Plan based on each trainee's background and career goal prior to joining the program. These positions are open to permanent residents and US citizens only. Women and minority students are encouraged to apply.

Please contact the project director Dr. Chi-Ren Shyu at  [email protected]  for inquiries.

Published by the University Registrar, 125 Jesse Hall, Columbia, MO 65211 Phone: 573-882-7881

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How to Write a Statement of Purpose for PhD Admission

The dreaded doctoral statement of purpose — every PhD program asks for it, but why is it so difficult to write? Writing a strong statement of purpose is essential to getting into your top PhD programs. A PhD statement of purpose gives admissions committees an introduction to your research interests and why their specific program is of interest to you.

Like a cover letter for a job application, a great statement of purpose allows you to highlight your strengths, interests and experience. If you need statement of purpose advice, keep reading for guidance on how to write a successful statement of purpose that will make your PhD application stand out.

Statement of purpose vs. personal statement

Though the two may sound similar, they’re not necessarily interchangeable. A personal statement gives insight into who you are, while a statement of purpose is meant to showcase what you want to do. Rarely will you be asked to write a personal statement for a PhD program.

As you go through the PhD application process, you will likely see schools requesting either a statement of purpose or a research statement. In most cases, they're both looking for the same thing. Admissions committees want to know about your academic background, your research goals and what you hope to accomplish as a candidate in a PhD program.

Your research goals should align with faculty research

Being admitted to a PhD program is a great feeling, but if you enroll in a program that doesn’t match your research interests or help support your career goals, you may be setting yourself up for disappointment later down the road.

Applying for admission to a program is all about fit. Faculty reviewers are looking for students who best represent the department’s mission and will help them obtain their research objectives.

By the time you apply, you should have a solid understanding of what the department’s primary research and content areas are, as well as which faculty members you’d like to work with more closely. This might mean finding information about what their labs do and reading published articles related to their work.

Be sure to include how your interests and past experiences align with the work that they do and how you would be an active contributor to those endeavors. This approach shows that you took the time to look into their program, so the committee will be more willing to invest theirs in reviewing your application.

Don’t be afraid to address your weaknesses

Many people assume they should avoid listing their shortcomings in their essays. The whole point of applying to a program is to impress the reviewers, right? But constructively addressing your weaknesses can be a great way to demonstrate how this program can help you achieve your academic goals.

Look at the catalog and read through the courses that are part of the program. If there is a particular class that fascinates you, talk about how it could help you obtain a new skill or a better understanding of a concept that you’ve struggled with before.

This demonstrates that you are actively seeking programs to help you better your education. It also exhibits that you’re mindful of what areas of your knowledge need some improvement, which shows maturity and the ability to self-assess.

Keep it succinct

If your program of interest does not specify a page word or word limit, it’s best to assume that your statement should not exceed two pages total. It should be enough to give them a glimpse of who you are and what you have to offer but not share your life story.

The aim is to communicate how and why this particular program will help you meet your academic and career goals. Limited space means you must prioritize what you include in your statement.

Create an outline before you start writing to ensure you are including points that are relevant to your application and the program to which you are applying. Your statement is also an example of how well you can write. By framing your essay before you write it, you can avoid stream-of-consciousness writing that can often come across as undefined and incoherent.

Proofread! And read it over and over

When you think you have a finished product, read your essay out loud. This makes it easier to catch typos, poor grammar, and oddly worded sentences. If you have a friend who is also applying to grad school, help each other out by editing each other’s essays.

Having someone else read your statement and ask questions can help you clarify your points and make it more compelling. Your statement is your one chance to present yourself professionally in your own words. The occasional mistake is excusable, but messy writing will make them think you lack attention to detail.

Before you hit submit on that application, be sure that you have attached the correct document for the right institution. It can be very embarrassing if your statement mentions the wrong faculty member’s name or refers to another school’s library! It could also cause the reviewers to think you are not as serious about their program.

You’ve spent a good amount of time perfecting your application, so take your time to review everything before you submit it so you can rest easy knowing you’ve presented your best.

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26 October 2023

5 minutes read

Crafting Your Bioinformatics Personal Statement: Your Path to a Master’s in Computational Biology

Dirghayu Kaushik

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• Introduction

Are you an aspiring bioinformatician with dreams of advancing your career in the interdisciplinary field of computational biology? Crafting a standout bioinformatics personal statement, also known as a Statement of Purpose (SOP), is a crucial step in achieving your academic and professional goals.

In this comprehensive guide, we’ll delve deep into the essential aspects of writing a captivating bioinformatics personal statement that will set you apart as an ideal candidate for an MS in Bioinformatics program.

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• What is a Bioinformatics Personal Statement?

Understanding the SOP

A bioinformatics personal statement, commonly referred to as a Statement of Purpose (SOP), is a written essay that provides admissions committees with valuable insights into your academic background, research experiences, career aspirations, and reasons for pursuing an MS in Bioinformatics.

It is a pivotal component of your graduate school application, offering you an opportunity to showcase your passion and suitability for this multidisciplinary field.

Your SOP is not just another document in your application; it’s your voice, your story, and your chance to make a compelling case for your admission to the bioinformatics program of your choice.

In this guide, we’ll break down the process of crafting a compelling SOP into actionable steps, ensuring that your application stands out in the competitive world of bioinformatics admissions.

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• Why is the Personal Statement Important?

The Power of Your Words

Your personal statement holds significant weight in the eyes of admissions committees. It serves as a window into your aspirations, motivations, and qualifications.

Admissions officers use it to evaluate whether you are a strong fit for their bioinformatics program. Therefore, it’s not just a formality but a powerful tool to shape your academic and professional future.

Let’s explore why your SOP carries such importance in the admissions process:

1. Showcasing Your Passion:

Your SOP is the canvas on which you paint your passion for bioinformatics. It allows you to convey why you are genuinely interested in this field, how you developed this interest, and what drives you to pursue it further.

2. Highlighting Your Qualifications:

Beyond academic transcripts and test scores, your SOP provides a platform to emphasize your qualifications. You can showcase relevant courses, research experiences, and skills that make you a valuable addition to the program.

3. Aligning with the Program:

Each bioinformatics program is unique. Your SOP enables you to demonstrate that you’ve done your homework. By tailoring your statement to the specific program, you can explain why it’s the perfect fit for your academic and career goals.

4. Personal Storytelling:

Admissions committees appreciate authenticity. Your SOP is your opportunity to share your personal experiences, values, and motivations. By telling your unique story, you stand out amidst a sea of applicants.

5. Showcasing Interdisciplinary Skills:

Bioinformatics is a field at the intersection of biology and computer science. Highlight your ability to bridge these disciplines and emphasize the value you bring to the bioinformatics community.

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• Creating a Compelling Bioinformatics Personal Statement

1. Start with a Strong Introduction

The Hook: The beginning of your SOP is your first impression. It should start with a captivating hook that immediately grabs the reader’s attention. Consider using a personal anecdote, a thought-provoking question related to bioinformatics, or a powerful quote to set the tone.

The Importance of a Hook: Imagine an admissions officer going through stacks of applications. Your opening paragraph should make them pause and want to read more. It sets the stage for the rest of your statement.

2. Highlight Your Academic Background

Charting Your Educational Journey: In this section, provide an overview of your academic background, starting from your undergraduate years. Mention relevant courses and subjects that have prepared you for the field of bioinformatics. Discuss how your academic experiences have shaped your interest in this multidisciplinary domain.

Exploring Relevant Courses: If you have taken courses in biology, computer science, molecular biology, or genetics, highlight their relevance to bioinformatics. Explain how these courses have equipped you with the foundational knowledge necessary to excel in this field.

3. Emphasize Your Research Experience

The Research Landscape: For many bioinformatics programs, research experience is a significant asset. If you have conducted research in a related field, this is the place to showcase your projects, methodologies, and any significant findings. Provide specific examples of your contributions and how your research has contributed to your understanding of bioinformatics.

Shaping Your Research Narrative: Discuss the research questions you’ve tackled, the data you’ve analyzed, and the tools you’ve employed. Highlight how these experiences have deepened your interest in bioinformatics and your eagerness to explore it further in a graduate program.

4. Articulate Your Career Goals

Defining Your Path: One of the critical aspects of your SOP is articulating your career objectives. What are your long-term aspirations in the field of bioinformatics?

Clearly state your goals and explain how an MS in Bioinformatics aligns with them. Show that you’ve carefully considered the program as a stepping stone towards your desired career path.

The Why Behind Your Goals: Elaborate on why you want to pursue a career in bioinformatics. What motivates you? Are there specific challenges or questions within the field that intrigue you? Make your passion for bioinformatics shine through your words.

5. Tailor Your Statement to the Program

Research the Program: Before writing your SOP, conduct thorough research on the bioinformatics program you’re applying to. Explore their faculty, resources, and unique features. Understand what sets them apart from other programs.

Why This Program: In your statement, express why this particular program stands out for you. Discuss how their resources, faculty expertise, and course offerings will help you achieve your academic and career goals. Be specific and make it clear that you’ve chosen this program for a reason.

6. Be Genuine and Unique

Your Authentic Voice: Authenticity is key. While it’s important to craft a well-structured and compelling statement, ensure that your personality shines through. Admissions committees are looking for real individuals with genuine passions and motivations, not generic templates.

Unique Experiences: Remember that your experiences, values, and motivations are unique to you. Share personal anecdotes or challenges you’ve overcome that have shaped your journey in bioinformatics. Your uniqueness is your strength.

7. Showcase Your Interdisciplinary Skills

Bridging Biology and Computer Science: Bioinformatics is all about bridging the gap between biology and computer science. Highlight your ability to combine these disciplines and discuss how your background equips you to excel in this interdisciplinary field.

The Value of Multidisciplinarity: Explain why interdisciplinary skills are crucial in bioinformatics. Showcase how your proficiency in both biological and computational domains makes you a well-rounded candidate.

8. Proofread and Edit

Polishing Your Statement: Once you’ve written your SOP, it’s essential to meticulously proofread and edit it. Ensure that your statement is free from grammatical errors, typos, and formatting issues. Seek feedback from mentors, professors, or peers to refine your writing further.

• Conclusion: Crafting a Path to Success in Bioinformatics

Your bioinformatics personal statement is your gateway to pursuing a Master’s in Computational Biology. By following the steps outlined in this comprehensive guide, you can craft an engaging, unique, and persuasive SOP that captivates admissions committees.

Remember that your statement is not just a reflection of your academic achievements but a testament to your passion for bioinformatics and your vision for the future of this dynamic field.

With careful planning, thoughtful writing, and attention to detail, you can make your dream of becoming a bioinformatics professional a reality. Best of luck on your journey to academic and professional success in bioinformatics!

What should I include in my bioinformatics personal statement?

Your bioinformatics personal statement should include details about your academic background, research experiences, career goals, and reasons for pursuing an MS in Bioinformatics. Tailor it to the specific program you’re applying to.

How long should my personal statement be?

Most programs provide guidelines for the length of the personal statement, typically ranging from 500 to 1000 words. Follow the program’s requirements carefully.

Can I use a template for my personal statement?

While templates can provide structure, it’s crucial to customize your statement to your unique experiences and aspirations. Avoid using generic or overused templates.

Should I mention my undergraduate career in detail?

Highlight key courses, research projects, and skills gained during your undergraduate years, but focus on how these experiences have prepared you specifically for bioinformatics.

How important is research experience in a bioinformatics personal statement?

Research experience is valuable but not mandatory. If you have it, emphasize its relevance to your bioinformatics goals. If not, discuss other relevant experiences and skills that demonstrate your preparedness for the program.

Can I mention specific faculty members I’d like to work with?

Yes, mentioning faculty members you’re interested in collaborating with can demonstrate your research alignment with the program and your proactive approach to academic engagement.

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Table of Contents

• • Introduction
• • What is a Bioinformatics Personal Statement?
• • Why is the Personal Statement Important?
• • Creating a Compelling Bioinformatics Personal Statement
• • Conclusion: Crafting a Path to Success in Bioinformatics

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How to Write Statement of Purpose (SOP) for Ph.D. Admission: Sample & Example

• Updated On April 16, 2024
• Published In General

Every document is important in your PhD application when you present a profile to the admissions committee, AdCom. Each document, whether the Statement of Purpose (SOP), a research paper sample, research essay, resume, or Letter of Recommendation (LOR), can be a crucial factor or a tie-breaker when universities select candidates with similar profiles. 

Table of Contents

Therefore, the statement of purpose for PhD is very important in the entire application procedure. This blog contains all aspects of the SOP for PhD, including its format and requirements for top universities.

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How to Write SOP for Ph.D.

Writing a Statement of Purpose (SOP) for a PhD requires candidates to express their interest in the subject honestly and passionately. To help you create an impactful SOP, here are a few simple guidelines: 

• Introduction: Start with a good introduction that catches the reader’s attention and clarifies your intention to pursue doctoral studies. Please describe your academic background and research interests briefly.
• Academic Background:  Explain your academic path, highlighting relevant courses, research projects, publications and achievements in the field. Explain how these experiences have prepared you for your PhD studies and influenced your research interests.
• Research Experience:  Tell us about any research experience, including internships, projects or cooperation. Tell us what you are doing, how you contribute, and what outcomes or insights you gained from this experience. Show your analytical and problem-solving abilities and your ability to collaborate independently.
• Future Goals:  Define your long-term career objectives and how you can attain a Ph.D. that aligns with those goals. Explain how you will be able to achieve your objectives and contribute to your professional development by applying for this programme.
• Conclusion:  Clarify your main points and reiterate your enthusiasm for this program. Let me finish by saying you are ready and eager to contribute to the academic community.
• Proofreading & Editing: Please review your SOP closely to see if you have any grammar, spelling, or typing errors. Ensure that everything is clear, coherent and concise at all times. To improve the quality of your SOP, consider seeking feedback from professors, mentors and colleagues. 

Sample Statement of Purpose (SOP) for Ph.D.

Presenting key information to institutions in a structured manner is essential when searching for samples from the PhD SOP. Applicants should aim for a length ranging from 200 to 1000 words, tailored to the institution’s requirements when writing a PhD personal statement.

It’s important to strike the right balance; a statement should not be too lengthy, which can overload the reader, and it should not be too short, which could lead to a lack of clarity. To ensure that the message is effectively communicated, emphasis is placed on being concise yet informative.

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Sample SOP for PhD: Sample 1

I grew up in Chandigarh and witnessed firsthand the effects of environmental degradation and climate change on our society. That experience awakened my passion for the environment, and I am determined to continue my studies in this area. I am excited to apply for the Master’s program in Environmental Studies at [University Name].

A commitment to understanding and dealing with environmental challenges shapes my academic journey. I’ve completed my undergraduate studies in environmental science and acquired a solid understanding of environmental principles and sustainable development.

I’ve had the opportunity to work with a wide range of organisations dedicated to protecting and developing our environment throughout my professional career. These experiences have given me valuable insight into the complex interaction between human activities and the natural environment.

I researched topics such as biodiversity conservation and adaptation to climate change because of my interest in environmental issues. One of my most memorable achievements was participating in the project to assess the impact of deforestation on local ecosystems in this region. This experience deepened my understanding of the importance of interdisciplinary approaches to environmental research.

In particular, my long-term objective in conservation biology and ecosystem management is to contribute to developing novel solutions for environmental problems. It will give me the knowledge and skills necessary to make a real impact in this area by studying for a master’s degree in environmental studies at [University Name].

The interdisciplinary approach and research opportunities offered by the Environmental Studies Programme at [University Name] are very attractive. I would be incredibly attracted to work with highly respected faculty members and participate in hands-on research activities. Given the alignment of my research interests and career goals, exploring specific topics related to the Specific Research Areas is especially important.

Lastly, I’m excited about continuing my studies at [University Name] and contributing to environmental studies. I’m sure I’m a strong candidate for the Master’s program because of my academic background, professional experience, and passion for protecting the environment. Thank you for considering my application.

Sample SOP for PhD: Sample 2

The dynamic world of business, and its profound impact on society, fascinated me as a young man. This fascination, coupled with a strong desire to make a positive difference through strategic leadership, has motivated my pursuit of a Master’s degree in Business Administration at [University Name].

I completed my undergraduate studies in Economics at [University Name], where I developed a solid foundation in economic theory and quantitative analysis. I’ve been equipped with a comprehensive understanding of market dynamics, financial principles and strategic decision making through my studies.

I have acquired valuable experience working in various roles within the financial services sector following my college studies. These experiences have given me a firsthand insight into the complexity of business operations, financial management and strategic planning. I’ve sharpened my ability to analyse, manage and work as a team through my roles.

I am well aware of the effective business leadership through my professional experiences. I’m passionate about using the principles of business to drive innovation, sustain long term growth and positively contribute to society. I will gain the necessary knowledge, skills and network to meet these objectives by completing my Master of Business Administration.

With its reputation for academic excellence, diverse student population and emphasis on Experiential Learning, the MBA program at The [University of Name] is particularly appealing to me. I’m looking forward to working with respected faculty members and fellow students, exchanging ideas as well as gaining a perspective from different points of view. In addition, I’m looking forward to participating in hands-on projects and internships that will strengthen my practical skills as well as industrial knowledge.

My aim is to take a leadership role in the business sector, where I can make an impact on organisational growth and innovation after completing my MBA programme. In the end, my objective is to set up a business which will contribute positively to both the economy and society with its focus on sustainability of economic practice and community entrepreneurship.

Finally, I want to develop my business management knowledge and skills in order to make a significant impact on the global economy. I’m confident that the necessary tools and opportunities to achieve my objectives will be provided by the MBA program at [University Name]. Thank you for your consideration of my application, and I’m delighted to be able to contribute to a lively academic community at [University Name].

SOP for Ph.D. Admission Requirements for Top Universities

The requirements for a Statement of Purpose (SOP) when applying for a PhD program at top universities remain consistent in terms of the general approach to writing. However, variations exist in structure, word limit, and other specific guidelines depending on the individual university’s requirements. 

Here, we examine the SOP requirements for PhD applications at leading universities, per the QS World University Rankings 2024. 

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Writing a strong Statement of Purpose (SOP) is crucial for students applying to graduate programs. By using the tips and advice shared in this blog, you can effectively share your academic journey, interests, and goals with admissions teams. 

Remember, a good SOP shows your passion and readiness for advanced studies. With careful attention and effort, you can create an SOP that stands out and boosts your chances of getting into your desired program.

For more guidance on how to write SOP for PhD, you can contact our LeapScholar Team.

Frequently Asked Questions (FAQs)

Q. what makes a good sop for a ph.d..

Ans. The applicant’s research interests, academic background and career objectives should be clearly stated in a good SOP for a Ph.D. To demonstrate their readiness for doctoral-level research and their contribution to the academic community, the SOP should strongly align the applicant’s interests with the programme’s offering. In addition, it should be well-written, concise and in line with the specific programme and its requirements.

Q. What are some of the mistakes you should avoid in an SOP?

Ans.  Avoiding typical mistakes when drafting an a SOP statement of purpose is essential. Stop using generic language and cliches that do not promote your individuality. Ensure your SOP is tailored to each program, demonstrating an understanding of their unique offers and how you fit in with the school community. Focuses on the relevant experience and achievements, omitting irrelevant details.

Q. What is the importance of SOP for a Ph.D.?

Ans.  In the case of Ph.D. admission, the statement of purpose of the SOP provides candidates with the opportunity to demonstrate their academic background, research interests and career aspirations. This enables applicants to demonstrate their compatibility with the programme’s objectives and faculty expertise, giving admissions committees valuable insight into whether they are suited for advanced research or a career in academic studies.

Q. How do I write a SOP for college admission?

Ans. When writing the Statement of Purpose (SOP) to be admitted into college, make sure that you highlight your academics, career aspirations and why you are a good fit for this program. Indicate the relevant experience, skills and achievements that align with your objectives while explaining how college resources and opportunities will meet them. Keep the SOP brief well-organised and tailored to the specific college or program you’re applying to.

Q. How do I start an SOP sample?

Ans. To start a SOP sample effectively, consider opening with a compelling anecdote, a personal reflection, or a statement of purpose that succinctly articulates your motivation and passion for the chosen field of study. This will set the tone for the rest of the document and draw the reader’s attention from the beginning.

Q. What is the format for the SOP statement?

Ans. The format for a Statement of Purpose (SOP) typically includes an introduction, body paragraphs, and a conclusion. This introduction should provide an overview of your background and interests. Paragraphs should be added to the body highlighting your experiences in academia and industry, as well as particular successes and motivations. Lastly, the conclusion should summarise your main points and express your enthusiasm for this programme.

Q. Can I reuse an SOP for different Ph.D. programs?

Ans. While it is possible to apply the same overarching theme or experience to each SOP, it is essential to adapt each SOP to the specific requirements of the programme, the faculty, and the research opportunities. Using the same SOP without modifying it can be seen as generic and lacking genuine interest in the program. Personalising each SOP demonstrates your commitment and understanding of how you will align yourself with the goals and features of every program.

Q. Can I mention my weaknesses or challenges in my SOP?

Ans.  Generally, it is best not to mention weaknesses or problems explicitly in your Standard Operating Procedures. Instead, focus on highlighting your strengths, experiences and accomplishments. However, if you have overcome significant challenges that have shaped your academic journey or personal development, you may briefly mention them to demonstrate resilience and growth. Frame such experiences positively, emphasising what you learned and how it has strengthened your resolve to pursue your academic goals.

Q. How long should my SOP be?

Ans. Your Statement of Purpose (SOP) should be approximately one to two pages in length or between 500 and 1,000 words. Emphasising your academic background, research interests, career objectives, and why you are a strong candidate for the programme is essential. Keeping to the specified word count will ensure clarity and keep readers engaged while giving enough information about your qualifications and reasons for doing so.

Q. What tone and writing style should I use in my SOP?

Ans.  Keep your SOP professional and formal, but also add personality and enthusiasm to your chosen area of interest. To effectively communicate your motivation, experience and aspirations, you must be able to do so in a language that is easy to understand. As the Standard Opinion Paper is an official document for academic evaluation, do not be overly informal or superficial.

Q. How can I make my SOP stand out from other applicants?

Ans.  Make your SOP stand out by highlighting unique experiences, points of view and motivation. Share specific examples to highlight your achievements, skills, and passion in this area. Furthermore, demonstrate a deep understanding of the programme and show how your interests align with its objectives. Lastly, you must write a persuasive story which will appeal to the reader and give your candidacy an indelible impression.

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Statement of Purpose - Bioinformatics

yj0902 1 / -   Jul 27, 2010   #1 I'm getting incredibly frustrated trying to write a concluding statement, and I'm unsure if I lose focus from what is asked of me. Any help/criticism is appreciated in advance! In approximately 500 words, discuss the reasons you wish to pursue the MS in Bioinformatics program. Focus on your long term goals and how this academic program will complement those goals, as well as any additional comments that will assist in evaluating your application materials. Please submit a typed essay on a separate sheet of paper. The first years of my undergraduate career were a mess - I had no idea what I wanted to do in life, and the burden of a family financial crisis back home didn't help. As the eldest son and without enough financial aid from the university, I withdrew from my studies to go back home and help support the family. Despite the situation, I took this time to really assess what I wanted to do with my life, and through self-help books and experimenting, I discovered that I was more interested in computer science and programming than biology. It was an easy decision to transfer to Loyola University at Chicago - I could be closer to home while pursuing something I was truly interested in. In Putonti's lab, I've developed algorithms and scripts for raw data handling of experimental results and manipulating data from existing databases, and I've recently began this summer learning molecular biology lab techniques i.e. DNA extractions, PCR. The genomics course from last semester has also sparked a newfound interest in genome analysis. The main reason I'd like to pursue a Master of Science degree in bioinformatics at Johns Hopkins is because of the courses and electives offered - just browsing through the course catalog encourages my curiosity. Another reason I'd like to pursue a M.S. at JHU is because of the flexibility the program offers without compromising the quality of education. I will not have a bachelor's degree at the start of the spring semester, but I will only have two classes (6 credit hours) to complete my degree. I know the flexibility JHU's online program would be a great benefit for me, since I can finish my last two classes and invest the extra time toward a couple core courses at the same time. Also, when I met with Dr. Obom in January, she explained to me that it would be possible to waive core courses so that I can invest my education in more "concentration classes" and electives. At the bottom, I have listed the remaining courses left in my undergraduate career. My long term goal is to pursue a career at J. Craig Venter Institute and/or the Institute for Genomic Research. Ever since I read about him in TIME Magazine as the forefront competitor in the Human Genome Project, I've been interested in understanding the genomic data but also interested in the ambition to eventually use it for improving healthcare. I plan on applying to their summer internship in 2011, and I hope to use the research experience and apply it at JHU. In terms of relocating, I'm planning to move to the Baltimore area following the summer internship, but I would still like to have the flexibility of JHU's online program since I can't foretell what my employment/living situation will be. Fall 2010 - Proteomics (3 hrs) - Introduction to Bioinformatics (3 hrs) - Quantitative Methods in Bioinformatics (4 hrs) - Molecular Biology Lab (3 hrs) Spring 2011 - Computational Biology (3 hrs) - Design and Analysis of Algorithms (3 hrs)

Acinonyx 1 / 3   Jul 27, 2010   #4 Despite the situation, I took this time to really assess what I wanted to do with my life, --Is the word 'really' really necessary? ;)

Some of these samples have been accepted by top programs. They have been graciously shared by past applicants for educational purposes. We hope they inspire you to write your own.

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Statement of Purpose for PhD in Computer Science (MIT Accepted)

We analyse three SOP samples, two accepted at MIT and one at the University of Washington.

Statement of Purpose for PhD in Biomedical Engineering (MIT Accepted)

In this article, we analyse a Biomedical Engineering SOP that was accepted at MIT, Stanford, and Georgia Tech

Letters of Recommendation: A Guide and Sample for your Recommenders

Statement of Purpose Sample for Nursing (Undergraduate) (Highly rated)

Description: We describe in detail how to write a statement of purpose for nursing. In the SOP, the applicant underscores the areas of nursing she’d focus on and how she was suited for the school.

Statement of Purpose Sample for Ph. D Nursing (Compelling)

Description: In this Statement of Purpose Sample for Nursing Ph. D, the applicant identifies the field of interest and specialization that he’s interested in early, details professional and research work, then points out the skills he would like to gain from this program and how the university will help in this endeavor.

Statement of Purpose for MBA (Ivy school)

Description: We start by providing a step by step guide that should help with generating ideas for your MBA SOP and then crafting one while adhering to certain tips. We then provide 3 ivy school samples.

Statement of Purpose Sample for Computer Science  (Highly rated)

Description: In this Statement of Purpose Sample for Computer Science, the applicant describes how a local mobile money sending application in rural parts of Africa inspired his love for computing.  The applicant explains a clear career path after graduating. You can get a similar SOP by ORDERING HERE

Statement of purpose sample for computer science 2 (Recommended)

Description: In this SOP, we provide the blueprint of writing a SOP for computer science. We follow it with two highly rated samples.

Statement of Purpose Sample for Cognitive Science (Good)

Description: In this SOP, the applicant describes how personal struggles with Dyslexia, and the inspiring story of  Akeelah in the Akeelah and the Bee film, motivated a desire to understand how the human brain works and how it can be trained to optimize the good while negating the bad.

MBA Statement of Purpose Example  (Excellent)

Description: In this Statement of Purpose Sample for MBA, the applicant evokes the loss of family business and a business degree that didn’t equip him with practical skills as the motivation for applying for an MBA. The applicant brings out the steps that he has taken to remedy this lack of practical experience and the skills that he looked forward to getting from the MBA program.

Statement of Purpose Sample for MBA with Engineering Background (Compelling)

Description: The applicant underscores professional experience managing people, financial, and operational processes. He emphasizes possession of transferable research experience, the result of which is a successful Statement of Purpose for MBA that got him acceptance to a top business school. You can get the same HERE

Statement of Purpose Sample for Masters in Public Health Science (Good)

Description:  In this SOP, the applicant underscores her teaching and research experience and show how they would be transferred to a role of a public health educator. If you’re applying for university admission in a field other than you did your bachelor’s, we can help with standardizing your SOP. Speak to us today HERE

Statement of Purpose Sample for  Psychology Graduate School (Great)

Description: In this SOP, the applicant explains how growing up in a crime-ridden neighborhood with a police father informed her early views on crime prevention and the place of psychology. She places this early observations in their proper context by profiling the background of teenage offenders thereby underling the place of early trauma on future behavior.

Statement of Purpose Sample for Mathematics (Highly rated)

Description: This sample explains the applicant’s love for numbers and top achievement as well as suitability for the university.

Statement of Purpose Sample for Business Management (Highly rated)

Description: The SOP demonstrates how professional experience not deemed relevant to business management may be captured as an example of work ethics

Statement of Purpose Sample for Nursing

Statement of Purpose Sample for Nursing PhD

Statement of Purpose sample for MBA

Statement of purpose sample for computer science 2

Statement of Purpose Sample in Cognitive Science

Statement of Purpose sample for mathematics

Statement of Purpose sample for MBA with Engineering Background

Statement of Purpose sample for Masters in Pyschology

Statement of Purpose Sample for Computer Science

Statement of Purpose sample for Business Management

Statement of Purpose sample for Masters in Public Health

Statement of Purpose for MBA Sample (Ivy school)

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Biological Sciences

• Mellon College of Science

M.S. in Quantitative Biology and Bioinformatics

The study of Biology is undergoing a revolution driven by new technologies that enable scientists to generate extensive amounts of data.  For example, the costs of sequencing nucleic acids have dropped dramatically, resulting in unprecedented amounts of genomic, transcriptomic, and proteomic data.  Advances in imaging extend from the nano to the macro scale to probe function and generate enormous amounts of data that describe behaviours of cells from subcellular to organ-levels.  The new datasets cut across all subdisciplines in biology and enable scientists to ask questions in new ways to reveal the fundamental rules of life.

The M.S. in Quantitative Biology and Bioinformatics (MS-QBB) will prepare students for new careers bioinformatics and related fields. Our mission is to provide students who have background in life sciences skills to prepare for careers in bioinformatics. This program allows student to choose a 2-semester or a 3-semester program of study. If you are interested in applying, learn more about the application process on our admissions page or e-mail us .

Program Mission

To provide students who have a background in biology and other sciences with a practical and focused educational experience to prepare them for careers in bioinformatics and quantitative biological science.

2-semester M.S. in QBB

Our 2-semester option allows students to quickly gain the most relevant skills in bioinformatics. Students will begin study in late August and graduate in late May.

3-semester M.S. in QBB - Advanced Study

The 3-semester option allows students to spend a third semester gaining additional experience and some more advanced coursework. Students will begin study in late August, have the option to earn course credit with optional summer internships (interested students may apply to these in the first year), then students will complete their third semester in the following Fall and graduate in late December.

Students are encouraged to seek external internships after their first year and pursue this degree full-time, completing the program in 3 semesters.

Related programs

Students who are interested in this program may also want to consider the M.S. in Computational Biology and M.S. in Automated Science programs . Those programs expect a higher level of quantitative background & skills to enter and are designed to engage students with a more in-depth focus computational machine learning competencies and the application of machine learning to biological research.

How to Apply

The CMU Rales Fellow Program is dedicated to developing a diverse community of STEM leaders from underrepresented and underresourced backgrounds by eliminating cost as a barrier to education. Learn more about this program for master's and Ph.D. students. Learn more

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Psychology, MS (Sport Psychology Concentration)

Is this program right for me.

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Campus Immersion Program at a Glance

Location:   West Valley Campus Credit Hours:  30 Flexible Schedule:  day and evening classes Time to Completion:  18 months - 24 months Admit Term:  Fall Application Deadlines  

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Program Handbook       Sports Psych Checksheet      Program Advising

Pursuing a graduate degree represents a pivotal juncture in your academic and professional path. We are committed to ensuring that you are well-informed and well-prepared for this significant journey. To facilitate your exploration and understanding of the program, we encourage you to delve into our advising website. Here, you can access vital information regarding program prerequisites, course offerings, and the expertise of our esteemed faculty.

We particularly recommend a thorough review of the curriculum check sheet and the program handbook. These documents offer an insightful glimpse into what you can expect during your academic journey, helping you gain a comprehensive understanding of the program's requirements and guidelines. Your time spent exploring these resources will be invaluable as you embark on this next chapter of your education.

Program Details

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Application Deadlines

Application Components

Completed applications must be electronically submitted to ASU and include the following:

Letter of Recommendation

Letters of recommendation help support your graduate school application by providing a third-party view of your ability to perform well in graduate school. It is preferred that the letters of recommendation are from faculty members who know the applicant's work well; if these are not available, then recommendations should be from individuals in supervisory or professional roles. Two letters of recommendation are required. However, three letters of recommendation are strongly recommended.

Statement of Purpose

This is your opportunity to introduce yourself, share your goals and explain why you decided to pursue this particular program. Please provide a statement no longer than three pages double-spaced describing your research experience and interest overlap with the identified ASU program faculty.

Required Courses

Applicants must provide evidence of successful completion of an undergraduate, or graduate, social science statistics and research methods course. Typically, these pre-requisite courses should be in a social science field; however, applicants may apply with courses outside of a social science field.

GPA Requirement

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in applicable master's degree program. 

GRE Scores (Optional)

Applicants to the Master of Science in psychology (sport psychology concentration) program are not required to submit a GRE score. Applicants who feel that their GPA and academic record are not reflective of their current ability are strongly recommended to provide a GRE score.

English Proficiency

International applicants should review details online to determine if a TOEFL or IELTS score must be submitted. Information can be found by visiting  students.asu.edu/graduate/proficiency .

Review Process

Review of applications for admission are done on a rolling basis. Typically decisions are returned within 14 calendar days from the date the application is ‘in review’. The decision timeframe may increase during peak cycles.

Applicants can view the status of their application online via My ASU. The New College may reach out to request additional information or provide updates so it is important to check your email regularly.  

After submitting your application please contact  [email protected]  with any questions.

While you wait for a decision we recommend that you:

• explore resources available to all ASU Graduate Students available  here .
• submit your FAFSA, for more information visit:  https://tuition.asu.edu/financial-aid