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Explore Bayesian approaches, biomarker identification, and machine learning. Investigate disease causation and effects by combining your analytical skills and scientific curiosity through UMass Amherst's Biostatistics PhD program.
Our curriculum prepares graduates for academic research, teaching roles, and leadership positions in health organizations. Students can choose primary and secondary specializations, with foundational coursework covering generalized linear models, Bayesian methods, survival analysis, and statistical theory. Each candidate works with their advisor to select electives aligned with their academic background and professional goals.
Earning a biostatistics doctorate demands initiative, determination, persistence, and strong quantitative abilities. These attributes significantly influence our admission evaluations.