Epidemiology and Biostatistics: Biostatistics, PhD

The PhD program in biostatistics is designed to prepare students to be independent researchers in the development of statistical methodologies and in the appropriate and innovative application of these methodologies to biomedical research problems.  In the first five semesters of the program, students complete a series of courses in both theory and applied methodology, engage in individually mentored research experiences, explore statistical collaboration, and complete the qualifications examination. Within this period, students also identify a dissertation research problem and an advisor and present a research proposal as part of the candidacy examination.  Students typically defend their dissertations and graduate within five years of matriculation.

View the University’s Academic Rules for PhD Programs.

Required Courses 

Coursework
Theory Courses
BSTA 6200Probability I
BSTA 6210Statistical Inference I
BSTA 6220Statistical Inference II
Methods Courses
BSTA 6300Statistical Methods and Data Analysis I
BSTA 6320Statistical Methods for Categorical and Survival Data
BSTA 6510Introduction to Linear Models and Generalized Linear Models
BSTA 6560Longitudinal Data Analysis
BSTA 6600Design of Observational Studies
BSTA 6610Design of Interventional Studies
BSTA 6700Statistical Computing
BSTA 7540Advanced Survival Analysis
BSTA 5110Biostatistics in Practice
Additional Coursework
Electives
BSTA 7510Statistical Methods for Neuroimaging
BSTA 7820Stat Meth/Incomplet Data
BSTA 7870Methods for Statistical Genetics and Genomics in Complex Human Disease
BSTA 7890Big Data
BSTA 7900Causal Inference in Biomedical Research
Research Requirements
BSTA 6990Lab Rotation
BSTA 8990Pre-Dissertation Research
BSTA 9950Dissertation
BSTA 7500Statistical Methods for Risk Prediction and Precision Medicine

The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2022 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.


Sample Plan of Study

Year 1
Fall
Probability I
Statistical Methods and Data Analysis I
Design of Observational Studies
Design of Interventional Studies
Lab Rotation
Spring
Statistical Inference I
Statistical Methods for Categorical and Survival Data
Introduction to Linear Models and Generalized Linear Models
Lab Rotation
Summer
Lab Rotation
Year 2
Fall
Statistical Inference II
Advanced Survival Analysis
Longitudinal Data Analysis
Biostatistics in Practice
Lab Rotation 1
Pre-Dissertation Research
Spring
Statistical Computing
Advanced Elective/Minor
Lab Rotation 1
Pre-Dissertation Research
Elective
Year 3
Fall
Pre-Dissertation Research
Elective
Spring
Dissertation
Year 4 and Beyond
Dissertation
Elective
1

Students should take BSTA 6990 Lab Rotation if mentor is not yet selected or BSTA 8990 Pre-Dissertation Research if mentor has been selected.