Georgetown University

What you'll study

The programme combines core statistical theory with applied methods specific to biomedical research. Coursework typically covers probability and statistical inference, linear and generalized linear models, survival analysis, longitudinal data analysis, and categorical data methods. Students also take modules in clinical trials design and analysis, epidemiologic methods, statistical genetics or omics data analysis, Bayesian methods, and advanced computational statistics including reproducible research and statistical programming (R, Python).

Learning emphasises applied problem solving: assignments commonly use real clinical or public‑health data, and students complete project work that demonstrates design, analysis and interpretation in a biomedical context. Many students undertake a capstone project or practicum where they collaborate with clinicians, public‑health researchers or industry partners to tackle a substantive biostatistical question. Elective seminars and journal clubs expose students to contemporary topics such as causal inference, machine learning for healthcare, and regulatory statistics for drug and device approval.

Entry requirements

Applicants are expected to hold a bachelor’s degree with a strong quantitative background. Typical preparation includes calculus, linear algebra, probability or introductory statistics, and some programming experience. Admissions normally consider academic transcripts, a personal statement outlining research or career goals, and letters of recommendation; professional experience in data analysis or research can be advantageous.

International applicants must demonstrate English proficiency according to Georgetown University’s general graduate admissions policies. Some applicants may be invited to interview or to submit additional material (for example, a sample of quantitative work) if the admissions committee needs further evidence of readiness for graduate‑level coursework.

Career prospects

Graduates move into roles across academic, public‑sector and commercial settings. Common job titles include biostatistician, clinical trial statistician, statistical programmer, data scientist in healthcare or biotech, and epidemiologic analyst. Employers include hospitals and medical centres, pharmaceutical and biotechnology companies, clinical research organisations (CROs), public‑health agencies, and research institutes.

The degree also provides a foundation for doctoral study in biostatistics, statistics or related fields for students who wish to pursue research positions or academic careers.

Why study at Georgetown University

Georgetown’s location in Washington, D.C. offers strong connections to federal public‑health agencies, research hospitals and a vibrant biotech and policy community, providing opportunities for applied projects and internships. The university emphasises interdisciplinary collaboration, enabling students to work with clinicians, epidemiologists and health‑policy scholars across campus. Small cohort sizes and faculty who engage in applied clinical and public‑health research mean students receive hands‑on mentorship and can build professional networks that support placement in industry, government and academic roles.

Students benefit from university career services and events that connect graduates with employers in the pharmaceutical, biotech and public‑health sectors, and from access to seminars and workshops that reflect current practice in biostatistics and clinical research.