Northwestern University Feinberg School of Medicine
Center for Education in Health Sciences
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Director's Message

Denise Scholtens

We are delighted to offer cutting-edge graduate training in biostatistics to prepare students to make lasting impact on public health practice and research.”

Denise M. Scholtens, PhD
Program Director
Chief of Biostatistics in the Department of Preventive Medicine
Professor of Biostatistics in the Department of Preventive Medicine and Neurological Surgery

Welcome to the Northwestern University Master of Science (MS) in Biostatistics website. Demand for world-class data analytics is exploding, and the health arena is no exception. We are delighted to offer cutting-edge graduate training in biostatistics to prepare students to make lasting impact on public health practice and research.

Our innovative, one-year MS program is offered through the Program in Public Health at Northwestern University Feinberg School of Medicine’s Center for Education in Health Sciences. Coursework can be completed in two years for half-time students. All students complete rigorous training in biostatistics, epidemiology and statistical programming and engage closely with world-class faculty conducting statistical and collaborative research across the university.   

Three MS in Biostatistics concentrations foster curriculum flexibility to meet a range of professional needs and interests. The concentration in Population Health Analytics is designed for college graduates or students with professional degrees (e.g. MD, DPT, allied health professionals) who intend to plan, direct and execute health research. Concentrations in Statistical Bioinformatics and Statistical Methods and Practice are designed for college graduates who are interested in working as statistical analysts/programmers on research teams. Statistical Bioinformatics emphasizes cutting-edge computation and analysis for genomics and other bioinformatics "big data," while Statistical Methods and Practice encompasses a broader range of statistical theory and methods for data from health and medical research settings.

Thank you for your interest. Please contact us for more information.

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