Bayesian methods. Biomarker discovery. Machine learning. Experiment with these and other areas of research to examine causes and effects of disease as you harness your quantitative aptitude and sense of curiosity to pursue UMass Amherst’s PhD in biostatistics.

Designed to prepare you for research and teaching positions in academic institutions as well as leadership roles in health-related agencies, our program offers both major and minor areas of concentration. Core courses include graduate work in generalized linear models, Bayesian inference, survival analysis, as well as statistical theory. Every student is encouraged to select, in consultation with their academic advisor, the elective courses to take, based on their training, background, and interests.

Completion of a doctorate in biostatistics requires self-direction, independence, perseverance, and, naturally, quantitative aptitude. Evidence of these qualities plays an important role in our admissions decisions.