The PhD in Biostatistics is jointly administered by the Department of Biostatistics at the School of Public Health and the Department of Mathematics & Statistics at the Graduate School of Arts & Sciences. The program is geared toward the graduate student who seeks a career as a professional, academic, or industrial biostatistician in biomedical or epidemiologic sciences. The program meets the needs of the health professional who wishes to continue with public health training and achieve a higher and more specialized degree and the statistician who wishes to specialize in statistical methods for biomedical or epidemiologic applications.
Students who complete the PhD program will gain knowledge in probability, statistical inference and hypothesis testing, the design and conduct of experimental and epidemiological studies, statistical computation, and data analysis. Research interests of the faculty include multivariate analysis, survival analysis, medical statistics, clinical trials methodology, statistical genetics, surveillance, robust statistics, longitudinal data analysis, time series, regression, estimation theory, and the design of experiments.
Program of Study
Students entering with a bachelor's degree must complete a total of 64 credits.
Students entering with a master's degree must complete at least 32 credits.
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. Upon completion of coursework, each student must pass Qualifying Examinations.
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.
Required Core Courses:
- CAS MA 575 Linear Models
- CAS/MET MA 581 Probability
- CAS/MET MA 582 Mathematical Statistics
- GRS MA 781 Estimation Theory
- GRS MA 782 Hypothesis Testing
- SPH BS 805 Intermediate Statistical Computing and Applied Regression Analysis or SPH BS 806 Multivariate Analysis for Biostatisticians
- SPH BS 852 Statistical Methods for Epidemiology
- SPH BS 857 Analysis of Correlated Data
- SPH BS 853 Generalized Linear Models with Applications
- SPH EP 770 Concepts and Methods in Epidemiology
For complete information on the PhD in Biostatistics program of study, please review the PhD Handbook 2022-2023 and 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.
Interdisciplinary Training Program for Biostatisticians
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 firstname.lastname@example.org. Applicants should not directly contact faculty members regarding admissions or funding opportunities.
Our graduates are highly sought after and work in a wide variety of careers upon graduating. Below is information on our graduates' first jobs after graduation.
PhD in Biostatistics Admissions Requirements
Applications for the PhD in Biostatistics program must be completed on the Graduate School of Arts & Sciences website. The deadline for fall admission is December 1. We do not have spring admission.
Requirements for Admissions
- At least the equivalent of bachelor of arts degree; no specific undergraduate major is required
- One year of calculus, including multivariate calculus*
- One full semester of linear algebra*
- Unofficial transcripts from all colleges and universities attended
- 1-2 pages personal statement
- Three letters of recommendation
- Official report of TOEFL scores for applicants whose native language is not English
- Previous coursework document (click to download)
Note: GRE is not required for admission.
*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.
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.
Attend a Webinar: Sept 15, Oct 20, Nov 17, Jan 19, & Feb 22
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 2022 - 2023 webinar dates are as follows:
- Thursday, September 15, 2022 @ 9am EDT
- Thursday, October 20, 2022 @ 12pm EDT
- Thursday, November 17, 2022 @ 9am EST
- Thursday, January 19, 2023 @ 12pm EST
- Wednesday, February 22, 2023 @ 9am EST
For more information about the program, please email email@example.com.