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The Master of Science in Biostatistics at Brown University is a one-year, full-time, on-campus program that prepares students to apply quantitative methods to solve problems in biomedical research, public health, and healthcare. With a curriculum grounded in statistical theory, computing, and data analysis, the program equips students with essential skills in study design, hypothesis testing, and modeling of complex biological systems. Emphasis is placed on using real-world health data to inform decision-making, evaluate treatments, and understand disease trends in diverse populations.
Through small cohorts and close faculty mentorship, students receive personalized support as they build proficiency in R, SAS, and Python while mastering statistical techniques relevant to genomics, epidemiology, and clinical trials. The program also provides opportunities for collaborative research and applied projects with public health organizations and medical researchers. By combining rigorous methodology with interdisciplinary learning, students develop the ability to work at the interface of statistics, health sciences, and data science, making this program an ideal pathway to both academic and professional success.
Semester 1 – Core Foundations in Biostatistics and Computing
Semester 2 – Advanced Applications and Research
Graduates of the Biostatistics program are in high demand across a wide range of industries that rely on statistical expertise to guide research and policy. Common career paths include biostatistician, data analyst, clinical trial coordinator, and public health researcher, with positions in hospitals, pharmaceutical companies, research institutes, and government health agencies. Many also work in bioinformatics, applying their skills to analyze genomic data and support precision medicine initiatives. Alumni often join research teams at academic medical centers or health-focused NGOs, contributing to data-driven interventions and health policy evaluation. The program’s focus on both theory and application ensures that graduates can not only interpret complex datasets but also communicate findings to multidisciplinary teams, making them essential contributors in today’s data-driven health environment.
This program offers a unique blend of statistical rigor, hands-on data experience, and public health relevance within a focused one-year structure. Brown University’s close-knit academic environment and strong emphasis on research collaboration provide students with direct access to real-world projects and mentorship from experts in biostatistics, epidemiology, and health data science. The curriculum balances core knowledge with flexible electives, allowing students to explore advanced topics tailored to their interests. Whether aiming to enter the workforce or prepare for doctoral study, students leave the program with practical skills, theoretical depth, and a clear understanding of the role biostatistics plays in improving human health. For those ready to lead in a world where data drives discovery, this program delivers the tools, confidence, and direction to succeed.
For further information, please contact the admissions office at:
Phone: +1 401 863 1000
Email: admissions@brown.edu
Address: University of Brown, Providence, RI 02912, United States