Case Western Reserve University

What you'll study

The programme combines core statistical theory with applied biostatistics practice. Core coursework typically covers probability theory, statistical inference, linear models and regression, and computational methods for large data sets. Applied and specialised modules commonly include survival analysis, longitudinal data analysis, clinical trials methodology, categorical data analysis, Bayesian methods, causal inference and statistical genetics/bioinformatics.

Students gain hands-on experience through data laboratory classes and a practicum or applied consulting project with healthcare or research partners. Options often permit a research thesis or a capstone project that emphasises real-world datasets from clinical, epidemiological or genomics studies. Training emphasises proficiency in statistical software (for example R and Python), reproducible research workflows and communication of results to non-statistical audiences.

Entry requirements

Applicants are expected to hold a bachelor's degree in statistics, mathematics, computer science, engineering, economics or a related quantitative discipline, with a strong academic record. Typical prerequisites include calculus (multivariable), linear algebra, introductory probability and mathematical statistics, and some programming experience. Applicants without a formal statistics degree but with substantial quantitative coursework and relevant experience may be considered.

Applications normally require official transcripts, a statement of purpose describing research or career goals, a current CV, and academic or professional letters of recommendation. Candidates whose first language is not English must meet the university's English proficiency requirements. Admissions may also take into account relevant work experience, prior research, and fit with faculty interests.

Career prospects

Graduates are prepared for roles across academia, industry and the public sector. Common career paths include biostatistician or statistical programmer in pharmaceutical and biotechnology companies, positions at contract research organisations (CROs), data scientist roles in healthcare systems, analysts in public health agencies, and research support positions in academic medical centres. The training also provides a solid foundation for students who wish to pursue doctoral study in biostatistics or related disciplines.

Why study at Case Western Reserve University

Case Western Reserve offers close connections with major clinical and research institutions in Cleveland, creating abundant opportunities for applied projects and collaborative research in medicine and public health. The university's programmes are characterised by small cohort sizes, direct access to faculty with expertise across clinical trials, epidemiology and computational biology, and resources for high-performance computing and data management.

Students benefit from interdisciplinary collaboration across the School of Medicine and School of Public Health, practicum placements with nearby hospitals and research centres, and a curriculum designed to balance rigorous theory with practical, career-oriented training.