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Bayesian approaches. Biomarker identification. Artificial intelligence. Explore these and additional research domains to investigate disease origins and impacts while applying your analytical skills and inquisitive nature in UMass Amherst's Biostatistics PhD program.
Structured to equip you for academic research and teaching careers as well as executive positions in health organizations, our curriculum provides primary and secondary specialization options. Foundational coursework encompasses advanced studies in generalized linear models, Bayesian statistics, survival analysis, and statistical theory. Students are advised to choose electives in collaboration with their faculty mentor, tailored to their educational background and professional objectives.
Earning a biostatistics doctorate demands initiative, autonomy, determination, and strong quantitative abilities. Demonstration of these attributes significantly influences our admission evaluations.