The following requirements must be fulfilled: 72 credits, including 14 credits in core courses, 28 credits in concentration-specific courses, 3 credits in practicum/teaching/research courses, and 12 to 15 credits in dissertation research.

Core courses
PUBH 6080Pathways to Public Health
PUBH 6421Responsible Conduct of Research
PUBH 6850Introduction to SAS for Public Health Research
PUBH 6851Introduction to R for Public Health Research
PUBH 6852Introduction to Python for Public Health Research
PUBH 6860Principles of Bioinformatics
PUBH 6886Statistical and Machine Learning for Public Health Research
PUBH 8099Doctoral Topics (Cross Cutting Concepts in Public Health topic only)
PUBH 8870Statistical Inference for Public Health Research I
Concentration-specific courses
PUBH 6866Principles of Clinical Trials
PUBH 6869Principles of Biostatistical Consulting
PUBH 6879Propensity Score Methods for Causal Inference in Observational Studies
PUBH 6887Applied Longitudinal Data Analysis for Public Health Research
PUBH 8871Statistical Inference for Public Health Research II
PUBH 8875Linear Models in Biostatistics
PUBH 8877Generalized Linear Models in Biostatistics
PUBH 8878Statistical Genetics
PUBH 8880Statistical Computing for Public Health Research
STAT 6227Survival Analysis
A minimum of 12 credits in elective courses. See program guide for options.
PUBH 6897Research in Biostatistics and Bioinformatics (taken for 1 credit)
PUBH 8283Doctoral Biostatistics Consulting Practicum
UNIV 0250Graduate Teaching Assistant Certification
Dissertation research
PUBH 8999Dissertation Research (12 to 15 credits)