The Ph.D. program in Biostatistics is designed to train independent investigators who will develop new quantitative methods and underlying theory, and make innovative applications to substantive and demanding scientific problems in public health, medicine, biology, and the social sciences. In addition to completing core courses in theory and methods of biostatistics, Ph.D. students are required to develop expertise in a cognate area (e.g., epidemiology, economics, molecular biology, etc.).
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 biostatistics faculty are members of the Center for Statistical Sciences, which hosts the Biostatistics Methods and Data Center for the NCI-funded American College of Radiology Imaging Network (ACRIN) and the Biostatistics Core for Brown’s Center for AIDS Research.
Brown's rapidly expanding Program in Public Health housed in newly renovated space at 121 South Main Street in the heart of downtown Providence, just blocks from the main green and walking distance to several of Brown's research centers. Its educational programs include both masters and doctoral programs in Biostatistics, Epidemiology, and Health Services Research, an MPH program, and undergraduate concentrations in both Community Health and Statistics. The Program in Public Health is home to several world-class research centers, such as the Center for Gerontology and Health Services Research, the International Health Institute, and the Center for Alcohol and Addiction Studies. Our faculty also collaborate with researchers at Brown’s Center for Behavioral and Preventive Medicine, Center for Computational Molecular Biology, Center for Genetics, Genomics and Proteomics, and the Population Studies Training Center.
Additional resources: All Ph.D. students are provided with office space in the Public Health building at 121 South Main Street. Ph.D. students in Biostatistics also have access to the CSS computing infrastructure, a high-end, continuously updated computing environment featuring both Unix and PC networks, with access to all major software for data analysis and numerical computing. CSS also maintains a biostatistics library housing a considerable collection of statistics texts and journals.
For all Ph.D. students, 24 credits are required of students matriculating in the program without a master's degree; 16 are required beyond the master's. For those with a related master's degree, up to eight units can be transferred. Both written and oral exams, plus a dissertation comprising an original contribution to the field, also are required. Students are expected to participate in academic activities such as the Statistics Seminar and faculty-organized working groups.
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.
GRE General: Required
GRE Subject: Not required
Application deadline: January 5