The Ph.D. program is administered by an active, expanding and highly interdisciplinary faculty in the Department of Biostatistics. Major areas of research activity include Bayesian inference, analysis of biomarkers and diagnostic tests, causal inference and missing data, time series and functional data analysis, modeling of social networks, bioinformatics, longitudinal data, and multilevel modeling. Faculty collaborate actively with investigators in the areas of cancer prevention and screening, behavioral sciences, HIV/AIDS, health care policy, genetic epidemiology, neuroscience, and genomics.
All PhD graduate students are provided with a new laptop computer and office space. Students also have access to the computing infrastructure at the Center for Statistical Sciences, a high-end, continuously updated computing environment featuring both Unix and PC/MAC networks, with access to all major software for data analysis and numerical computing. CSS also maintains a considerable collection of statistics texts and journals in the Walter Freiberger Biostatistics Library.
MCAT or LSAT tests cannot be substituted for the GRE. Applicants to the Ph.D. program should have taken courses in calculus (three semesters), and advanced undergraduate courses in linear algebra and probability. Experience with numerical computing is also recommended. Applications from students in applied fields such as biology, biochemistry, economics, and computer science are strongly encouraged, with the understanding that necessary mathematical coursework may have to be completed before or soon after enrollment in the program.
Applicants to this School of Public Health program should apply through SOPHAS, a centralized application service for accredited schools and programs in public health. The application opens in mid–August each year. The Department of Biostatistics will waive the requirement of the GRE results for the 2021-2022 application cycle. Applicants who submit results will not be penalized, nor will applicants who do not submit results. Brown University School of Public Health GRE reporting code: 7765.
- GRE General: Not required
- GRE Subject: Not required
- Letters of Recommendation (3)
- Official Transcripts
- Personal Statement
- Application Fee
- Language Proficiency (TOEFL or IELTS if applicable)
- Transcript Evaluation (if applicable)
Application Deadline: December 15