ScM Biostatistics at Brown University

Programme overview

Advanced training in statistical methods and their application to health and medical research, covering theory, methodology and practice of statistics in biology, public health and medical science. The ScM combines coursework with a thesis or project.

Faculty: Division of Master's and Professional Programs | Department: School of Public Health, Department of Biostatistics | Duration: 2 years, on campus; 10 courses (10 credits) | Intake: Fall | Study mode: full-time | Location: Providence, RI, United States

What you will study

Required courses include Probability and Statistical Inference, Applied Generalized Linear Models, Longitudinal and Multilevel Data Analysis, Practical Data Analysis, Statistical Programming with R, Causal Inference and Missing Data, and Statistical Learning and Big Data, plus three electives in statistics, epidemiology or data science.

Career pathways

Statistician or data analyst in industry, government or academia; doctoral study in biostatistics; advanced research roles.

Official programme page

Application information

Entry requirements

ScM Biostatistics (programme-specific): prerequisites of one semester each of multivariate calculus, linear algebra and probability using calculus. GRE not required (scores may be submitted, code 7765). Three letters of recommendation, personal statement, resume/CV, application via SOPHAS. English proficiency for non-native speakers (unless exempt): TOEFL iBT minimum 100 (tests on or before January 20, 2026) and IELTS minimum 7.0. Priority deadline December 1; final January 15.

Master's and professional master's cohorts start in fall (September), with some programmes starting in summer (June-August); billing is by Summer, Fall and Spring terms.

Professional master's programmes charge a $200 one-time application fee.

Apply through the official page: https://graduateprograms.brown.edu/

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