biostatistics phd admission requirements

Admission Requirements

Admission to our programs is competitive, especially to our PhD program. Applicants are evaluated based on the entire application package. Every year we receive approximately 340 MS applications and 230 PhD applications and offer admission to approximately 60 MS applicants and 15 PhD applicants. Below are minimum prerequisites for admission and criteria to be considered a competitive applicant.

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Minimum math requirements, uw graduate school minimum requirements, pursuing concurrent degrees.

• Proof of English language proficiency for international students

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Math and statistics prerequisites.

Our program is mathematically rigorous  and a strong quantitative background is essential to succeed in our program.

All applicants to the MS and PhD program should have the equivalent of approximately 30 or more quarter credits in mathematics and statistics, which must include:

• Approximately three semesters or four quarters of calculus, which must include multivariate calculus
• One course in linear algebra
• One course in probability theory (calculus based)
• A probability-based course in mathematical statistics is highly encouraged, though not required.

UW course equivalents that meet these requirements

University of Washington courses which are approximate equivalents to these requirements are:

• First-year calculus; MATH 124-125-126
• Advanced multivariable calculus: MATH 224
• Linear algebra: MATH 208
• Probability: MATH/STAT 394 and/or 395

The UW Department of Math course catalog gives descriptions of these courses. This information may help you determine whether your background is sufficient to meet our prerequisites. For additional information, please contact our staff at [email protected] . 

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Requirements for Specific Degree Programs

Applicants to the MS and PhD program should have a bachelor’s degree or higher. Most students enter with a major in mathematics, statistics, bioinformatics, or computational biology; however, we also accept applicants with backgrounds in other fields if necessary math and statistics prerequisites below are fulfilled. We often have applicants from engineering, psychology, or financial/business backgrounds. Strong applicants will have solid quantitative skills. 

Important: When you apply to a UW Biostatistics graduate program, you are also formally applying to the University of Washington Graduate School. Although all acceptance decisions are made within the Biostatistics department, the UW Graduate School also has minimum admission requirements for all UW graduate programs.

If you are a UW student interested in pursuing a second/concurrent degree, please consult with your current degree program to determine the feasibility, division and sharing of credits, and timeline for pursuing a concurrent degree. See the UW Graduate School's policy on concurrent degrees.

Test Scores and GPA

• Quantitative score in the 90th percentile
• Analytic score above the 50th percentile
• Verbal score above the 70th percentile
• Test scores are valid for five years. If you choose to submit a GRE score, the score must be valid on the date you submit your application. 

Proof of English language proficiency for international applicants

English language proficiency for international applicants must be demonstrated with one of the tests accepted by The Graduate School as outlined in Policy 3.2 , unless :

You have a bachelor's, master's, or doctoral degree from a regionally accredited institution in the United States or from an institution in Australia, the Bahamas, Canada, Ireland, Jamaica, New Zealand, Singapore, Trinidad and Tobago, or the United Kingdom; OR from an institution from another country that can provide verification that all instruction is in English.

You are currently working on such a degree and will earn it prior to enrolling in our program.

See details about English proficiency requirements . Questions regarding this requirement may be directed to the UW Graduate School.

While our department does not have minimum score requirements, most competitive applicants will have:

• TOEFL total score ≥ 100
• TOEFL speaking score ≥ 23

Test scores are valid for two years and must be valid on the date the application is submitted.

While our department does not have minimum GPA requirements besides the 3.0 GPA required by the graduate school , competitive applicants typically have an undergraduate GPA ≥ 3.5, with mostly as in Math/Statistics coursework.

Each applicant must submit three letters of recommendation as a part of their application materials. All three letters must be submitted before an application will be considered complete for review.

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About the PhD in Biostatistics Program

The PhD in Biostatistics provides training in the theory of probability and statistics in biostatistical methodology. The program is unique in its emphasis on the foundations of statistical reasoning and data science. Students complete rigorous training in real analysis-based probability and statistics, equivalent to what is provided in most departments of mathematical statistics and in advanced data science.

PhD candidates are required to pass a comprehensive written examination covering coursework completed at the end of their first year. Research leading to a thesis may involve development of new theory and methodology, or it may be concerned with applications of statistics and probability to problems in public health, medicine or biology.

Application Fee Waivers: We are able to offer a limited number of application fee waivers. Learn about the eligibility criteria and how to apply for a waiver .

PhD in Biostatistics Program Highlights

Conduct and publish original research.

on the theory and methodology of biostatistics

Apply innovative theory and methods

to the solution of public health problems

Serve as an expert biostatistician

on collaborative teams of investigators addressing key public health questions

Teach biostatistics effectively

to health professionals and scientists as well as to graduate students in biostatistics

What Can You Do With a PhD In Biostatistics?

Visit the Graduate Employment Outcomes Dashboard to learn about Bloomberg School graduates' employment status, sector, and salaries. We have over 750 global alumni working in academia, government, and industry.

Sample Careers and Next Steps

• Tenure Track Faculty (e.g. Assistant Professor)
• Postdoctoral Fellow
• Data Scientist
• Statistician
• Biostatistician
• Machine Learning Engineer
• Mathematical Statistician
• Principal Investigator

What Our Students Say

Alyssa Columbus

"I’m grateful that this Department has fostered such a supportive environment."

Andrew Chin

"The atmosphere is always welcoming, and there is a strong emphasis on collaboration."

Lily Koffman

"There is a genuine sense of community pride here, living up to the nickname 'Charm City.'”

Sam Fansler

"I have felt a sense of belonging since the moment I started as a student here."

Curriculum for the PhD in Biostatistics

Browse an overview of the requirements for this PhD program in the JHU  Academic Catalogue  and explore all course offerings in the Bloomberg School  Course Directory .

Admissions Requirements

For general admissions requirements, please visit the How to Apply page. 

Note to international applicants for Fall 2025 admission who have attended or are attending a university outside the U.S. or English-speaking Canada: Our Department is no longer able to review applications that contain unevaluated international transcripts. Applications will be forwarded to us for review only after our Admissions Office has received an official Course-by-Course Credential Evaluation from ALL schools attended from either WES or ECE ( view details regarding our School’s transcript evaluation requirements ). The time to complete an evaluation can be lengthy and we recommend you start the process two to three months in advance of our December 1 application deadline.

This specific program also requires:

Prior Coursework

Calculus and linear algebra; accepted applicants are also strongly encouraged to take real analysis before matriculating

Standardized Test Scores

Standardized test scores are  not required and not reviewed  for this program. If you have taken a standardized test such as the GRE, GMAT, or MCAT and want to submit your scores, please note that they will not be used as a metric during the application review.  Applications will be reviewed holistically based on all required application components.

Vivien Thomas Scholars Initiative

The  Vivien Thomas Scholars Initiative (VTSI)  is an endowed fellowship program at Johns Hopkins for PhD students in STEM fields. It provides full tuition, stipend, and benefits while also providing targeted mentoring, networking, community, and professional development opportunities. Students who have attended a historically Black college and university (HBCU) or other minority serving institution (MSI) for undergraduate study are eligible to apply. To be considered for the VTSI, you will need to submit a SOPHAS application ,VTSI supplementary materials, and all supporting documents (letters, transcripts, and test scores) by December 1, 2024. VTSI applicants are eligible for an  application fee waiver , but the fee waiver must be requested by November 15, 2024 and prior to submission of the SOPHAS application.

Per the Collective Bargaining Agreement (CBA) with the JHU PhD Union, the minimum guaranteed 2025-2026 academic year stipend is $50,000 for all PhD students with a 4% increase the following year. Tuition, fees, and medical benefits are provided, including health insurance premiums for PhD student’s children and spouses of international students, depending on visa type. The minimum stipend and tuition coverage is guaranteed for at least the first four years of a BSPH PhD program; specific amounts and the number of years supported, as well as work expectations related to that stipend will vary across departments and funding source. Please refer to the CBA to review specific benefits, compensation, and other terms.

Need-Based Relocation Grants

Students who  are admitted to PhD programs at JHU starting in Fall 2023 or beyond can apply to receive a need-based grant to offset the costs of relocating to be able to attend JHU.   These grants provide funding to a portion of incoming students who, without this money, may otherwise not be able to afford to relocate to JHU for their PhD program. This is not a merit-based grant. Applications will be evaluated solely based on financial need.  View more information about the need-based relocation grants for PhD students .

Questions about the program? We're happy to help. 

Academic Administrator Mary Joy Argo 410-614-4454 [email protected]

Biomedical Graduate Studies

Epidemiology and biostatistics graduate group.

• Biostatistics

Biostatistics Application and Admission

Now accepting applications through December 1st! No application fee! Apply here! 

Students are admitted into the MS and PhD degree programs in Biostatistics for the fall term only. General admission information, as well as a link to the online application system, can be obtained from the  Biomedical Graduate Studies (BGS) Website . BGS accepts electronic applications only. Announcements of admission and fellowship awards to successful candidates are typically made by April 15. See application  Frequently Asked Questions  for more details.

Admission requirements: prior coursework.

Entering students in both the MS and PhD programs must have completed:

• at least one year of calculus (including multivariable calculus)
• one semester of linear algebra
• have a working knowledge of a programming language
• Previous experience with data analysis and statistical packages is desirable but not required. Advanced courses in mathematics are highly encouraged, particularly for students in the PhD program.

A complete application consists of: Application Form  - A complete, submitted online application. The online application will require you to upload the following documents:

• Personal Statement  - Please discuss your academic and career objectives. It should be around 500 words in length. Be as specific as you can about the area in which you plan to study and your reasons for wishing to study at the University of Pennsylvania.
• If you are applying to certificate program, your personal statement should include a paragraph (~200 words) reflecting your interest in those programs in addition to the doctoral discipline.
• Research Statement  - Please provide a description of your research experience(s), including the goals of each project, approaches used, results obtained, and implications of the findings for the project and the field at large. You may choose to describe a single research experience or several experiences, but please limit your statement to around 1000 words in length.
• Resume/CV  (Please DO NOT include GPA and/or GRE information)
• Transcripts  - All BGS applicants are required to upload up-to-date unofficial transcripts from all institutions attended. These transcripts must include grades for your most recently completed semester and indicate the courses you are enrolled in for the current semester. Transcripts from completed programs should show proof of degree conferral. A final, official transcript showing conferral of degree will be required of all accepted students prior to matriculation.
• Letters of Recommendation  - You will also be prompted to send requests to three (3) people who are able to provide letters of recommendation. They will be sent an email notification with a link to the online recommendation form, which will allow them to upload a PDF of the letter. The application and letters should identify personal attributes, experiences, and accomplishments relevant to success in the program. Applicants who are currently enrolled in a degree program must arrange for  at least one letter  of recommendation to be sent from a faculty member at their current department.
• Graduate Record Examination (GRE):  BGS does  not  require or accept GRE scores (general or subject tests).
• Test of English as a Foreign Language (TOEFL) : All applicants whose native language is not English are required to take the TOEFL, scores for which are valid for two years from the date of the exam. We must receive an official score from ETS by the application deadline. We will waive the TOEFL for applicants whose native language is not English but who have or will obtain a degree from a U.S. or other approved English-instructed institution. There are no minimum score requirements.  Our ETS institution code is 2900.  In order for your application to be considered complete, official score reports must be received by the application deadline. In order to ensure that your official scores are received in time, we suggest that you take the exam no later than mid-November.

Once the application is submitted, applicants may login to  ApplyWeb  to see whether transcripts and recommendation letters have been received. Please allow at least two weeks following the deadline for items to be posted to the application. 

For frequently asked questions about the BGS application process, please visit the BGS FAQs page.

Financial Obligations and Support

Students accepted to Biomedical Graduate Studies’ Ph.D. programs receive a fully funded fellowship—including tuition, fees, health insurance, and a competitive stipend—regardless of financial need. Funds for these fellowships are derived from reserves provided by the School of Medicine and the University Provost, NIH training grants and individual fellowships, research grants, and other funding sources.

In general, students accepted into Biomedical Graduate Studies are awarded financial support for the anticipated five to six years required to attain the doctoral degree. The annual stipend for students entering in Fall 2025 is $41,500. In addition, BGS provides new students with a $2,000 relocation award, to help cover start-up costs such as moving expenses and apartment security deposits.

Students who receive full-time support are expected to accept no additional employment during the same time period. Support for MS students depends on the availability of funds; priority is given to full-time students.

Research Assistantships  and  Teaching Assistantships  are available for qualified students.

Financial Aid

The Office of Student Financial Services provides students with information on student expenses and billing, processes financial aid applications, awards financial assistance, and administers the Penn Plan payment programs. The Office address is:

Room 100 Franklin Building 3451 Walnut Street Philadelphia, PA 19104-6270 215-898-1988 Email:  [email protected]

Tuition costs for future years have not yet been determined. The Trustees of the University of Pennsylvania reserve the right to increase tuition and fees and to otherwise amend the regulations concerning tuition and fees at any time and to make such changes applicable to students in the University at that time.

Diversity Statement

The Department of Biostatistics, Epidemiology, and Informatics (DBEI) values diversity and seeks talented students from diverse backgrounds, including individuals from underrepresented racial and ethnic groups, individuals with disabilities, and individuals from disadvantaged backgrounds. Further, the DBEI does not discriminate on the basis of color, sex, sexual orientation, religion, national or ethnic origin, age, disability, or status as a disabled or Vietnam Era veteran in the administration of its educational policies, programs or activities, admissions policies and procedures, and scholarship programs. Women, minorities, individuals with disabilities, and individuals from disadvantaged backgrounds are especially encouraged to apply to the DBEI's educational programs.

For additional information, please contact:

Eli Elliott Coordinator, Graduate Group in Epidemiology and Biostatistics University of Pennsylvania Perelman School of Medicine Tel: 215-573-3881 Email:  [email protected]

WHAT ARE YOU LOOKING FOR?

Key searches, admission requirements, application deadline.

Applicants to the program should satisfy all requirements for admission to the  Graduate School . Applicants not meeting Graduate School requirements for regular standing may, with approval of the Graduate School, be conditionally admitted to select programs.

The GRE is not required.

Official transcripts must be received from each accredited college or university attended.

ALL letters must be less than a year old and on department letterhead. At least one letter must be academic. Letters from peer colleagues or friends will not be accepted.

This program has required supplemental questions within the application.

• Curriculum vitae (C.V.) or resume

Additional requirements for international applicants

Required Undergraduate Preparation

In addition to meeting the Graduate School requirements, applicants to the PhD in Biostatistics program should have completed  undergraduate coursework  in:

• fundamental mathematical concepts (calculus, linear algebra)
• applied statistics
• basic computer programming

We encourage applicants with strong quantitative skills who have completed an undergraduate or graduate degree in mathematics, statistics, biostatistics, computer science, or a related field.

How to Apply

Apply to the program via  SOPHAS

• Prepare to apply by gathering all materials and information to complete your online application. These materials include personal statement, resume/CV, recommender’s information, personal, financial and education information. International applicants should review  additional requirements .
• Create a  SOPHAS account  and complete all parts of the online application
• Pay application fee
• instructions for domestic applicants
• instructions for international applicants

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PhD in Biostatistics

Biostatistics involves the development and application of sound statistical and mathematical principles to research in the health sciences. Because original theoretical research in biostatistics flows from medical research, the foundations of methodological development must be firmly grounded in sound principles of statistical inference and a thorough knowledge of the substantive area that provides the source of the medical questions being addressed. Thus, the Department of Biostatistics encourages excellent methodological work that is motivated by sound science that includes but is not limited to active collaborations with other investigators.

Students will be able to choose either the Standard Biostatistics Pathway or the newly created Implementation and Prevention Science Methods Pathway , directed by Professor Donna Spiegelman, director of the Center for Methods in Implementation and Prevention Science . The rigorous training in the theory of and methods of biostatistics, with a specialization in implementation and prevention science methods promotes the adoption and integration of evidence-based practices, interventions and policies into routine health care and public health settings to improve the impact on population health.

Research collaborations for biostatisticians take place both within and across departments in the School of Public Health, as well as with other departments in the School of Medicine and the University at large. Areas of current research include the development of general methods that have wide applicability across different areas of health research, as well as more specific techniques for dealing with the underlying processes that give rise to the data of interest. A broad range of health topics addressed by students in this department includes chronic diseases such as cancer, genetic epidemiology, clinical research, and mathematical models for infectious diseases.

Graduates of the doctoral program in Biostatistics are employed in universities throughout the country, as well as in such dedicated research institutions such as the National Institutes of Health. In addition, graduates have pursued careers in the pharmaceutical industry, in which they are actively involved in the evaluation of new therapeutic strategies.

This program requires General GRE test scores. Please send them to institution code 3987 (there is no department code).

More on Implementation and Prevention Science Methods Pathway

Yale’s new pathway is the first degree program to provide rigorous training in implementation and prevention science methods , including training in the development of new methods to advance the field. Other programs, importantly but quite differently, focus on the practice of implementation science and are targeted to those with subject matter expertise (e.g., in mental health or cancer prevention). Yale’s new program, by contrast, targets those wishing to develop scholarly methodological expertise.

If you plan to attend Yale, you will be able to choose this pathway or the Standard Biostatistics Pathway . You will have until the beginning of the spring term to decide which pathway you wish to follow.

2023 Biostatistics Information Session for the MPH, MS and PhD programs

Biostatistics Information Session for the MPH, MS and PhD programs.

November 16, 2023

• Shuangge (Steven) Ma -Department Chair and Professor of Biostatistics
• Mary Keefe - Director of Admissions
• Lisa Calvocoressi - Research Scientist in Biostatistics
• Michael Kane - Assistant Professor of Biostatistics
• Donna Spiegelman - Susan Dwight Bliss Professor of Biostatistics and Professor of Cardiovascular Medicine
• Kei-Hoi Cheung - Professor of Biomedical Informatics & Data Science; Professor of Biostatistics
• Katie Doucet - Assistant Director, Student Affairs

Learn more about the Department of Biostatistics

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Doctor of Philosophy in Biostatistics .

The PhD in Biostatistics trains students in cutting edge data analysis techniques, statistical theory, and effective collaborative skills for biomedical and public health research. The program is jointly administered by the Department of Biostatistics at the School of Public Health in collaboration with the Department of Mathematics & Statistics at the Graduate School of Arts & Sciences. Our graduates are prepared for a career as a professional, academic, or industrial biostatistician in biomedical or epidemiologic sciences.

Our students work in research teams committed to performing innovative and impactful research in areas such as statistical genetics and genomics, clinical trials, big data analytics, machine learning and AI with applications in areas such as health equity, substance use disorders, Alzheimer’s Disease and dementia, infectious diseases, and cancer.

Our students enjoy a student-focused supportive training environment based in a highly productive and collaborative research environment. We are committed to engaging in research to improve health equity and support underserved communities. We are embedded in Boston Medical Center, the largest safety net hospital in New England and a part of the Boston University School of Public Health with a commitment to improving the health of all.

Program Directors:

• Kathryn Lunetta
• Laura White

Program Elements

Students entering with a bachelor's degree must complete a total of 64 credits (16 classes). Students entering with a master's degree must complete at least 32 credits (8 classes).

It is expected that students take courses from both the Biostatistics Department in the School of Public Health and the Mathematics & Statistics Department in the Graduate School of Arts & Sciences.

Qualifying Exams

Upon completion of coursework, each student must pass two Qualifying Examinations . One is focused on applied material and the other is focused on more theoretical topics.

Teaching Opportunities

All students are required to TA at least once during their time as a PhD student. Opportunities to teach outside of this are available to our PhD students.

Dissertation

The dissertation work must address a relevant question in statistical methodology and pose a new approach, extend an existing approach, or provide novel application of an existing method. When the dissertation is completed, the candidate defends his or her work before the dissertation committee. More information about the dissertation requirements is available in the Graduate School of Arts & Sciences Bulletin .

Students admitted to the PhD program (post-master or post-bachelor) in Biostatistics at Boston University as a full-time student will receive five years of financial-aid in the form of fellowship or assistantship support. The financial-aid package will consist of a stipend as well as a scholarship to cover tuition, mandatory fees, and individual basic health insurance. A student will typically be appointed as a Doctoral Research Assistant (RA).

Doctoral Research Assistantship

Eligibility (RA): All eligibility requirements for admission must be met. All qualified PhD applicants (international as well as domestic students) who intend to pursue their education as a full-time student are eligible to receive financial aid through Doctoral Research Assistantship .

How to apply (RA): Eligible individuals who are interested in being considered for Doctoral Research Assistantship must complete the standard online application for the PhD program in Biostatistics by December 1. No separate application for financial aid is required.

Click here to view the Research Assistantship Handbook.

Interdisciplinary Training Program For Biostatisticians

We support multiple students each year through an NIH-funded training grant. This program allows students to perform research rotations during the first two years of the program and receive additional mentoring and training. For more information on eligibility and requirement for the Training Grant program, click here . 

Financial Aid Opportunities

For more information, please visit GRS’s financial aid page for fellowships and scholarships and BUSPH’s financing your education page for additional internal and external funding opportunities.

All requests or questions related to admissions and financial aid should be sent to [email protected] . Applicants should not directly contact faculty members regarding admissions or funding opportunities.

Seminars, Professional Development

Our students participate in a wide range of seminars and other professional development activities . The department holds a monthly seminar series with invited speakers presenting on research from a wide range of areas in biostatistics. There are also topic specific meetings in Statistical Genetics and Genomics , Clinical Trials, Causal Inference, and Infectious Disease modeling.

The department also hosts a monthly career development workshop which covers topics related to finding internships, developing an individual development plan, alumni panels, and other topics pertinent to being a successful student and professional.

Additionally, PhD student dissertation presentations are held regularly throughout the academic year. They are open to the public and all students and faculty are encouraged to attend.

For complete information on the PhD in Biostatistics program of study, please review the PhD Handbook 2024-2025 and the Graduate School of Arts & Sciences Bulletin .

Alumni Careers

Our graduates are highly sought after and work in a wide variety of careers upon graduating. They work for a wide range of employers in industry including Pfizer, Vertex, Amgen and many other leading pharmaceutical and biotech companies, as well as academic institutions, including Harvard, Yale, and Tufts.

Below is information on our graduates' first jobs after graduation.

Recent Alumni

Kendra plourde, assistant professor, yale school of medicine.

What is your current position? What do you do in your current role?

I am currently an Assistant Professor of Biostatistics at Yale University. Overall, my role is more applied focused so I work with many principal investigators in developing their grant applications, providing guidance and reports during the course of a study, and providing statistical guidance in the analysis phase. My methodological research is focused on developing methods for cluster randomized trials, primarily those that require complex correlation structures. And finally, I also mentor students academically and in the development or application of statistical methods and recently started teaching.

If this was not your first job since graduating, what other positions have you held?

Before I was an Assistant Professor I was a Postdoctoral Associate at Yale University for 2 years.

How did BU help prepare you for your career?

Much of my applied work is focused on aging studies and I hope to eventually become a leader in aging research and methodology at Yale University. When I entered the PhD program at BU I was given a research assistant (RA) position with the Framingham Heart Study (FHS) Neurology department which was my first exposure to aging research. I worked with numerous researchers at FHS which led to numerous publications and I was mentored by aging experts. I developed a passion for aging research and especially the statistical issues specific to aging research. My RA inspired my dissertation work which was funded through an F31 grant. Both my collaborative work and mentorship at FHS and the experience writing and applying for the F31 grant were extremely helpful in preparing me for my current role.

What was your background prior to starting your program at BU?

My undergraduate degree is in mathematics and after graduation I worked as a financial consultant for 2 years before I decided to pursue a graduate degree in biostatistics. I received my masters in biostatistics at BU before pursuing a PhD. I do wish I had taken more statistics courses during my undergraduate degree or even added a degree in statistics. Unfortunately, I didn't take a statistics course until my last year of undergraduate.

Anything else?

Han Chen, Associate Professor in the Human Genetics Center

I am an Associate Professor in the Human Genetics Center at the University of Texas Health Science Center at Houston (UTHealth Houston) School of Public Health. I teach public health courses, and conduct research on computationally efficient statistical methods and software programs for large-scale genetic and omics data analysis.

After graduating from BU in 2013, I was a Postdoctoral Research Fellow at Harvard T.H. Chan School of Public Health, before moving to Houston in 2016. I received an NIH Pathway to Independence (K99/R00) Award in 2015.

I learned a lot from my professors, colleagues and fellow students. I became interested in human genetics after taking two statistical genetics courses, when I realized that I could connect my knowledge in both genetics and statistics and work on something exciting that contributes to advancing the field and improving public health. In addition to biostatistics and epidemiology, I also learned statistical computing and scientific programming from coursework and research projects. These knowledge and experience are closely relevant to my current research focus.

I had a Bachelor's Degree in Biological Sciences from Tsinghua University in China, and a Master's Degree in Statistics from Columbia University, before joining the PhD program at BU in 2009.

Carlee Moser, Senior Research Scientist (SRS) and Associate Director of Training

Senior Research Scientist (SRS) and Associate Director of Training at the Center for Biostatistics in AIDS Research (CBAR) at Harvard T.H. Chan School of Public Health. The SRS role is similar to an Associate Research Professor. In my role at CBAR, I work as a senior statistician supporting the ACTG (Advancing Clinical Therapeutics Globally) clinical trials network; the ACTG focuses on studies related to HIV and other infectious diseases. As a senior statistician, I work with investigators to develop/design clinical trials protocols, including simple size estimation and primary analysis approaches, as well as statistical analysis and study monitoring plans. I also oversee ongoing monitoring of studies that are actively enrolling and/or have participants in follow-up (which can include reviews by independent safety boards) and implementation of primary and secondary analyses of studies. As this work is very research focused, we also play a key role in developing abstracts for conferences and manuscripts. Outside of the collaborative research, I also participate in self-initiated research projects, which are often related to questions/issues that develop as part of our collaborative work. I was recently appointed the AD of Training where I oversee our Training Committee, which is responsible for onboarding new research staff and supporting ongoing biostatistical training, and provide direct mentorship to all newly hired PhDs.

I've been at CBAR since I graduated in 2013, but have been promoted through the ranks to SRS.

During my time at BU, I had the opportunity work with the Framingham Heart Study as an RA. This experience was invaluable as it taught me how to collaborate with clinical researchers, including communication of results, figuring out the best statistical method, and dealing with data issues. I was also able to graduate as a co-author on a few applied publications, which really strengthened my CV. My thesis work, though not directly related to my work now, was also extremely helpful as it allowed me to develop the necessary skills to think through tough problems that may not have actual answers. The process of "how" to figure out an answer to something unknown is so important in research. Of course, the coursework at BU was also great, as it exposed me to many methods, such as mixed effects models. I still find myself pulling out my BS 853 notes from time to time.

Jeremiah Perez, Principal Biostatistician

I am currently a Principal Biostatistician at Avania. It is a global contract clinical research organization (CRO). As part of my role at Avania, I provide statistical leadership and support in the design and analysis of clinical studies. I serve as the lead statistician and statistical reviewer for several clinical research studies across a wide range of therapeutic and diagnostic areas, including, but not limited to, oncology, cardiology, surgery, infectious diseases, and ophthalmology.

Previously, I was a Research Associate at the Center for Biostatistics in AIDS Research (CBAR) at Harvard School of Public Health and a Principal Biostatistician at PPD. My experience at BU allowed me to explore and gain hands-on experience in different research areas (clinical trials, observational studies, genetics, bioinformatics) where biostatistics is applied. The work I did at BU led to my very first publications. My coursework at BU provided me the statistical knowledge that I use daily throughout my career as I help design and analyze clinical studies for sponsors. The experience writing my PhD dissertation gave me the ability to think critically and "outside the box", which allowed me to handle complex/new statistical problems that have come up throughout my career. BU gave me the opportunity to teach a statistical course to non-statisticians, which I found helpful in my career since I often have to explain basic statistical concepts to my non-statistical colleagues/clients. BU gave me the opportunity to work on collaborative projects as a graduate research assistant, which I found helpful today in my career as I often work in teams consisting of clinicians, engineers, data managers, and project managers. Lastly, through student groups and internships, BU gave me the opportunity to grow my professional network.

Prior to starting the PhD program at BU, I had a MS degree in Statistical Computing; BSBA in Economics and Decision and Information Sciences; and BA in Political Science. Prior to attending BU, I was a Graduate Teaching Assistant and Research Assistant. My Master's Thesis was on Monte Carlo hypothesis testing of mean vector for high-dimensional microarray data.

My advice to an incoming PhD student would be to be open-minded and take advantage of the opportunities the program has to offer by exploring and appreciating the interdisciplinary nature of Biostatistics. Take the time to attend social events and/or be part of student groups (e.g., Biostatistics Student Association, Student Chapter of the ASA). Form study groups and get to know your classmates because the PhD experience is like a rollercoaster ride (with highs and lows), but it is more fun when you can experience the ride together.

How to Apply

Applications are submitted through the Graduate School of Arts and Sciences.

All applications are due by December 1 each year for consideration for admission the following fall semester. We do not offer spring admission or part time enrollment.

Admissions Requirements

Prior academic preparation.

• At least the equivalent of a bachelor of arts degree, no specific undergraduate major is required
• One year of calculus, including multivariate calculus
• One full semester of linear algebra

*Online courses can be used to fulfill prerequisite courses if they: 1) are taken from an accredited university or college, 2) are letter-graded, and 3) carry the same credits as in-person courses at the institution.

English language requirements

Proof of English proficiency is required of all applicants by submitting official results of the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS). This requirement is waived only if you have received, or expect to receive, an undergraduate or graduate degree from a college or university in any of the following countries prior to enrollment in GRS: the United States of America, Canada, the United Kingdom, Australia, New Zealand, or Ireland.

Visit http://www.bu.edu/cas/prospective-students/graduate-admissions/international-students/ for additional information.

When you are ordering your score reports from ETS, please use institution code 3087 for Boston University Graduate School of Arts and Sciences.

  Minimum English language proficiency scores are :

IELTS band score of 7.0 or higher.

TOEFL paper-based test: 550

TOEFL internet-based test (no exceptions will be made to the minimum requirements in each section)

• Reading– 21
• Listening– 21
• Speaking– 21
• Writing– 21

Other requirements

GRE is not required for admission.

Some research experience is preferred for PhD admission, though not required.

Application Components

Letters of recommendation.

Three letters of recommendation are required. These should come from individuals who can speak to the applicant’s potential as a PhD candidate and biostatistician. There are no strict requirements about who should write letters, but we strongly encourage letters from individuals who know the applicant well and a collection of letters that can speak to the applicant’s academic abilities and preparation, potential to perform research, and maturity.

Transcripts

Unofficial transcripts from all colleges are universities are required. All transcripts must be in English and WES evaluations not required for foreign transcripts .

Personal Statement

A personal statement is very important to admissions decisions. It can take many forms, but should provide insight into your motivations for pursuing graduate school and your background. Some helpful topics to discuss may include:

• Your motivation for pursuing graduate education.
• Research areas that interest you.
• Your goals and long-term interests.
• Anything in your background that you would like to highlight.
• A description of a time when you were able to overcome academic or personal challenges.
• Anything in your academic record that might require special explanation. 
• An indication of your interest in the Interdisciplinary Training Grant in Biostatistics (please see the link here for more information on the program and eligibility requirements).

Be concise! We recommend a single spaced, 11-12 point font, and one-inch margins. Do not exceed two pages.

Curriculum Vitae

Please include a current CV. This should detail your past educational and work experiences, as well as publications, research experiences and any programming or other skills you have acquired . There are many excellent guides online on how to create a CV.

Statement on Holistic Admissions

The admissions committee will consider the entire application in their evaluation including transcript, cumulative GPA, recommendations, personal statements, and research experience. GRE scores are not required and will not be considered by the admissions committee. We encourage applicants to include special circumstances as well as achievements that may not be apparent in their personal statements. This policy has been adopted to ensure that applicants are not differentially evaluated by admissions committees due to the varied impact of COVID-19 on individuals and/or due to the specific grading policies of their colleges/universities.

Additional Information

Graduate programs are jointly administered by the SPH Department of Biostatistics and the Department of Mathematics & Statistics at the Graduate School of Arts & Sciences. Program degrees are the Graduate School of Arts & Sciences.

Students can visit the fee waiver application to find out more information about their eligibility.

Webinar Information

Attend a live webinar via Zoom to speak with the Program Directors and learn more about the program. Fill out the Biostatistics Virtual Session Form to RSVP. The 2024 - 2025 webinar dates are as follows:

• Thursday, September 19, 2024 @ 9am EDT
• Thursday, October 17, 2024 @ 12pm EDT
• Thursday, November 14, 2024 @ 9am EST
• Thursday, January 16, 2025 @ 9am EST
• Wednesday, February 12, 2025 @ 9am EST

Attend a Webinar: Sept 19, Oct 17, Nov 14, Jan 16, & Feb 12

For more information about the program, please email [email protected] .

Applications are open

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Apply for a PhD in Biostatistics

The application for the Doctor of Philosophy program in Biostatistics is administered by the Horace H. Rackham School of Graduate Studies. Applications for the Fall 2024 semester are open through December 1..

Those applying for the Doctor of Philosophy program should complete the following:

• online application form
• all domestic applicants will receive an automatic fee waiver  
• three letters of recommendation (submitted online)
• a statement of purpose
• a personal statement
• A scanned/electronic copy of the official transcript will be used for initial review by our admissions committee.  You will be required to have your official transcript sent to the Rackham Graduate School only if you are recommended for admission.
• International students whose first language is not English must also submit TOEFL scores.

Michigan Public Health does not require and does not review GRE or other standardized test scores for admission to any master's or doctoral programs. Applications will be reviewed holistically based on required application components. Please contact our admissions staff at [email protected] if you have questions.

Minimum Requirements

• Applicants with either a relevant master's degree (i.e. a graduate degree comparable to our MS in biostatistics) or strong candidates with a bachelor’s degree will be considered for PhD admissions.
• three semesters of calculus
• a course in matrix or linear algebra
• an introductory course in statistics or biostatistics
• students with less preparation in mathematics or statistics may be conditionally admitted.
• Please refer to the Admissions page for international applicants for details on English proficiency requirements and other requirements specific to international students.
• The code for the TOEFL is 1839
• All applicants must upload a scanned copy, front and back, of their official transcript/academic record issued by the Registrar or Records Office, to ApplyWeb for each bachelor’s, master’s, professional, or doctoral degree earned or in progress. The scanned copy of the official transcript is used for initial review by the graduate program faculty.  After an offer of admission is made, an official transcript must be submitted to Rackham.  
• Please refer to Rackham Graduate School guidelines when submitting transcripts.

Current online grades policy  

Courses must be:

• taken at an accredited university and successful participation is documented by a grade on the transcript or by a written communication from the instructor; OR
• followed by more advanced coursework (for example, multivariable calculus is followed by real analysis) at an accredited university and successful participation in the more advanced course is documented by a grade on the transcript or by a written communication from the instructor

Courses without grades or evaluation of class performance by the instructor typically will not satisfy program admissions requirements.

The duration of this relaxation of departmental policy may be extended depending on the duration of the COVID-19 pandemic.

Frequently Asked Questions

Contact information.

Ph.D. Program Coordinator: Nicole Fenech Email: [email protected] Telephone: 734-615-9817

Department of Biostatistics School of Public Health University of Michigan 1415 Washington Heights Ann Arbor, MI 48109-2029 Fax: 734-763-2215

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PhD in Biostatistics

Prepare for a career at the forefront of biostatistics and bioinformatics theory and practice.

As a PhD in biostatistics candidate at the Harvard T.H. Chan School of Public Health, you will develop deep expertise in the theory and practice of biostatistics and bioinformatics, working alongside faculty who are leaders in both statistical theory and its application to health research. You will learn to work with big data and use powerful statistical tools to drive discovery using complex datasets. You will also conduct original research in collaboration with laboratory, clinical, and biomedical scientists from around the globe to identify and solve problems that threaten the lives and health of people everywhere.

With a PhD in biostatistics from the Harvard Chan School, you will be prepared for a high-impact career in academia or a research or leadership role in government or within the health care, pharmaceutical, or biomedical industries. You will also be positioned to play an important role in safeguarding public health and improving lives through quantitative research.

The PhD in biostatistics curriculum is focused on devising solutions to public health problems through the development of five key competencies in every student:

• Applying innovative probabilistic and statistical theory and computing approaches to the development of new biostatistical or bioinformatics methods, and publishing this original research in academic journals
• Providing leadership in the design, conduct, and analysis of collaborative research studies in medicine and public health
• Applying modern statistical and computational methods to effectively analyze complex medical and public health data, including the development of new software for nonstandard problems and simulation methods
• Collaborating and communicating effectively with research scientists in related disciplines
• Teaching biostatistics or bioinformatics effectively to health professionals, research scientists, and graduate students

All students admitted to the PhD in biostatistics program, including international students, are guaranteed full funding, which includes a stipend as well as tuition and health insurance for four years, provided they make satisfactory progress. In practice, many students require a fifth year to complete the doctoral program, and financial support for this 5 th year will be available with approval of the department.

WHO SHOULD APPLY?

All candidates for admission to the PhD in biostatistics program must have a strong background in mathematics—with college-level coursework successfully completed through multivariable calculus and at least one semester of linear algebra—as well as knowledge of at least one computer programming language. We strongly encourage additional coursework in quantitative areas including probability, statistics, numerical analysis, and advanced calculus or real analysis, as well as in biology, computational biology, and genetics (if interested in bioinformatics). Experience using a statistical computing platform such as SAS, Splus, R, Stata, or SPSS is also encouraged. Knowledge of a scripting language such as Python or Perl and some familiarity with relational databases is recommended for those interested in bioinformatics.

APPLICATION PROCESS

Like all PhD (doctor of philosophy) programs at the School, the PhD in biostatistics is offered under the aegis of the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (Harvard Griffin GSAS). Applications are processed through the Harvard Griffin GSAS online application system located at gsas.harvard.edu/admissions/apply.

OUR COMMUNITY: COMMITTED, ACCOMPLISHED, COLLABORATIVE

As a student in the PhD in biostatistics program, you will join a community of leading scientists and educators from around the world, working alongside world-renowned faculty members and collaborating with peers from across the globe. Our location in the heart of Boston’s Longwood Medical Area—home to Harvard Medical School, the Dana-Farber Cancer Institute, and many world-class hospitals—makes collaboration with eminent laboratory and clinical researchers a natural part of the educational experience. And when you graduate, you will benefit from Harvard’s unparalleled global network of alumni leaders.

LEARN MORE Visit our website at www.hsph.harvard.edu/biostatistics [email protected]

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Biostatistics

Director: Ian McKeague, PhD

The Doctor of Philosophy (PhD) in Biostatistics prepares candidates for leadership roles in the development and application of statistical methods to biomedical research for the advancement of public health. The program requirements for the PhD degree differ from those for the Doctor of Public Health (DrPH) in that the curriculum, examinations, and dissertation involve more emphasis on statistical theory in the context of public health applications.

The PhD in Biostatistics is awarded by the Graduate School of Arts and Sciences (GSAS) of Columbia University as governed by the Doctoral Program Subcommittee on Biostatistics. The program is administered by the faculty and staff of the Mailman School of Public Health.

Building on the foundation of the MS in Theory and Methods (MS/TM), the PhD includes the completion of any MS/TM requirements not previously met in the student’s prior master’s program, the equivalent of four semesters of additional full-time study, written and oral comprehensive examinations, and the completion and oral defense of an independent, original dissertation on a problem in statistical theory or method with relevance to a biomedical or public health application. The typical time for completion of the PhD degree is four to five years- two years for course work and written qualifiers and two to three years for the dissertation.

Admissions Requirements

While many of the applicants admitted to Columbia’s PhD program in biostatistics have already completed (or are completing) master’s degrees in biostatistics, statistics, or a related field, admission is open to well qualified students holding (or completing) bachelor’s degrees. Those admitted with a bachelor’s degree are typically strong students from programs that emphasize a rigorous background in mathematics and/or statistics.

Depending on prior training and background, students may be required to take additional master’s level course work in the Mailman School of Public Health as part of their PhD training.

In addition to the requirements listed below, all applicants must submit an official transcript from each prior institution, a statement of academic purpose, and three letters of evaluation from academic sources. All international students whose native language is not English or whose undergraduate degree is from an institution in a country whose official language is not English must submit Test of English as a Foreign Language (TOEFL) or IELTS scores.

• Deadline for Fall Admission:  December 1
• Deadline for Spring Admission:  No spring admission
• Resume/CV:  Yes
• Writing Sample:  No
• GRE General:  Optional
• GRE Subject:  No

Course Work

The PhD program builds on the foundation of an MS in Biostatistics (or its equivalent). Any course work or other requirements of the MS in Biostatistics (or its equivalent) not included in a doctoral student’s previous master’s training must be completed before (and in addition to) the requirements for each doctoral program. The specific course requirements of the PhD program are designed to prepare the student to take the doctoral qualifying examinations.

Students are encouraged to take full advantage of graduate course offerings in other departments of the Mailman School of Public Health, other departments and schools of the Columbia Medical Center (CUMC), and Columbia’s Morningside Heights Campus including, but not limited to the Department of Statistics , to extend their knowledge of theory and methods, develop an area of expertise, and familiarize themselves with the content and issues specific to the biomedical or public health problem or application of their research.

A grade of B or better is necessary in all required courses for both doctoral programs, but up to two elective courses may be taken on a pass/fail basis, especially to encourage students to take courses outside their field of expertise.

Competencies

PhD students gain all competencies of the MS Theory and Methods Track ( MS/TM ), and achieve additional competencies in the areas of data analysis and computing, public health and collaborative research, consulting, data management, a cognate field requirement, teaching, and biostatistical research.

Upon satisfactory completion of the PhD in Biostatistics, graduates will be able to:

Data Analysis and Computing

• Identify and implement advanced statistical models for the purposes of estimation, comparison, prediction, and adjustment in non-standard settings.
• Public Health and Collaborative Research [Sub-header]
• Develop and execute calculations for power and sample size when planning research studies with complex sampling schemes;
• Formulate and prepare a written statistical plan for analysis of public health research data that clearly reflects the research hypotheses of the proposal in a manner that resonates with both co-investigators and peer reviewers;
• Evaluate research reports and proposals for research funding on the basis of their scientific integrity, validity, and the strength of the quantitative analysis; and
• Prepare written summaries of quantitative analyses for journal publication, presentations at scientific meetings, grant applications, and review by regulatory agencies.

Data Management

• Identify the uses to which data management can be put in practical statistical analysis, including the establishment of standards for documentation, archiving, auditing, and confidentiality; guidelines for accessibility; security; structural issues; and data cleaning;
• Differentiate between analytical and data management functions through knowledge of the role and functions of databases, different types of data storage, and the advantages and limitations of rigorous database systems in conjunction with statistical tools;
• Describe the different types of database management systems, the ways these systems can provide data for analysis and interact with statistical software, and methods for evaluating technologies pertinent to both; and
• Assess database tools and the database functions of statistical software, with a view to explaining the impact of data management processes and procedures on their own research.

Cognate Field Requirement

• Identify important scientific problems in an area of biomedical or public health research outside of biostatistics/statistics (i.e., cognate field) that require the development of innovative biostatistical methodology for their solution;
• Review and evaluate the use of biostatistical methods in the cognate field of study;
• Demonstrate proficiency in the language of the cognate field; and
• Build productive collaborations across fields and disciplines.
• Review and illustrate selected principles of study design, probability theory, estimation, hypothesis testing, and data analytic techniques to public health students enrolled in all levels of graduate public health courses; and
• Explain advanced concepts in the theory of statistical inference to beginning and advanced graduate students in biostatistics and mathematical statistics.

Biostatistical Research

• Identify and integrate new developments in the statistical literature for challenging research problems in public health;
• Generate original computer code for new statistical techniques;
• Recognize gaps in current inferential methods that limit further public health research and propose solutions based on rigorous theoretical justification; and
• Develop guidelines for practical implementation and evaluation of public health research and programs.

Course Requirements

Course selection, done in consultation with academic advisors, is based on background, previous education, and research interests.

Students who already have a master’s degree in biostatistics or statistics enter the program with introductory course work already completed in the theories of probability and statistical inference. Students may then immediately register for the required three-semester sequence of advanced courses in the theory of statistical inference and asymptotic statistics. Students will also have had master’s level courses in regression analysis, experimental design, multivariate methods, and the analysis of categorical data and be able to register for advanced courses on these topics as well.

Students who enter with a bachelor's degree will take introductory coursework in probability, statistical inference, regression analysis and multivariate methods during the first year of the program.  

In addition to mastering course work in statistics, PhD students must satisfy a “cognate field” requirement to gain knowledge and expertise in a biomedical research field other than statistics/biostatistics. Examples of cognate fields of study include biomedical informatics, computational biology, environmental sciences, epidemiology, genomics, health policy research, human biology, physiology, and imaging. Students must take a minimum of two courses at the graduate level in the selected cognate field, chosen in consultation with their advisor and approved in writing by the Department chair or director of academic programs. The requirement is fulfilled when a grade of B or better is obtained in two cognate field courses, which should be completed by the end of the second year of study.

Consulting Experience

The consulting experience is designed to enable students to demonstrate their ability to integrate their academic studies with the role of biostatistical consultant/collaborator, which will comprise a major portion of their future professional practice. P9185 Doctoral Consulting Seminar is a course where students gain exposure to real world design, analysis, and report writing by helping CUMC investigators who come through the Biostatistical Consulting Service for design, data management, and statistical assistance.  Students are required to enroll in the Doctoral Consulting Seminar prior to taking the Statistical Applications Exam.  

PhD students are encouraged to take full advantage of graduate course offerings in other departments of the Mailman School of Public Health, other departments and schools of the Medical Center, and Columbia’s Morningside Heights Campus including, but not limited to, the Department of Statistics , to extend their knowledge of theory and methods, develop an area of expertise, and familiarize themselves with the content and issues specific to the biomedical or public health problem or application of their research.

PhD Curriculum

Students are required to take the following biostatistics courses, or to have taken the equivalent courses elsewhere with grades of B+ or better.

Required Courses

Residence and registration requirements.

All PhD students are required to accumulate six Residence Units (RUs). A Residence Unit is the equivalent of a semester of full-time study. After one year of study, students who entered with a master's degree may apply for advanced standing of two RUs representing work completed in their master’s program. All PhD students are expected to attend full-time, especially during the research and dissertation phases of their program. A whole RU, Extended Registration (ER), or Matriculation and Facilities (M&F) are all considered full-time registration statuses. In instances of extreme financial hardship, students may be permitted to work part time during course work when tuition costs are higher.

The Department of Biostatistics offers a limited number of fellowships for students in both the DrPH and PhD doctoral programs. Admission to both doctoral programs is highly competitive, and departmental fellowships are awarded to the most outstanding applicants as funding allows. Full fellowship support consists of tuition and a stipend. International students are also eligible for departmental doctoral fellowships. As part of their fellowship training and duties, all doctoral fellows are expected to serve as Teaching Assistants for one or two courses each year.

To ensure full consideration for admission and funding, submit your completed online application by December 1st. Applicants interested in financial aid, including fellowship support, should indicate their interest on their online applications.

In addition to offering doctoral fellowships, the Department of Biostatistics participates in several other training programs listed below which provide funding for doctoral students. Training grant funding is limited to American citizens and permanent residents. Please refer to each of the following programs for their specific guidelines. Doctoral applicants who meet the additional eligibility criteria for any of the programs below should indicate their interest in that program on their application to the Department of Biostatistics as well.

Cancer Training Program

The multidisciplinary Cancer Training Program, directed by Dr. Alfred I. Neugut of the Department of Epidemiology and funded by the National Cancer Institute, supports both predoctoral and postdoctoral trainees involved in cancer-related studies and research, including students from the Department of Biostatistics. Fellows receive a stipend, partial tuition support, and travel funds. Predoctoral fellows are typically students in the Department’s PhD or DrPH programs who are interested in cancer biostatistics. Post-doctoral fellows may be MDs or PhDs from other areas of science who wish to acquire more training in cancer biostatistics, or holders of a doctoral degree in statistics or a related area who wish to develop a research specialization in cancer. For more information about the Cancer Training Program visit their website or contact: Brenda Scariff , Cancer Training Program Coordinator.

The Initiative for Maximizing Student Development (IMSD)

The purpose of the National Institutes of Health-funded IMSD program is to increase the number of historically underrepresented students who receive doctoral training in public health. For more information about the IMSD program for full-time DrPH or PhD students in Biostatistics contact: Ana Abraido-Lanza, PhD , IMSD Program Director.

 [email protected]