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 Requirements for PhD Degrees.

Required Courses 

Coursework
Theory Courses
BSTA 620Probability I
BSTA 621Statisical Inference I
BSTA 622Statistical Inference II
Methods Courses
BSTA 630Statistical Methods and Data Analysis I
BSTA 632Statistical Methods for Categorical and Survival Data
BSTA 651Introduction to Linear Models and Generalized Linear Models
BSTA 656Longitudinal Data Analysis
BSTA 660Design of Observational Studies
or BSTA 661 Design of Interventional Studies
BSTA 670Statistical Computing
BSTA 754Advanced Survival Analysis
Applications Courses
BSTA 509Introduction to Epidemiology
BSTA 511Biostatistics in Practice
Additional Coursework
Electives
Research Requirements
BSTA 699Lab Rotation
BSTA 899Pre-Dissertation Research
BSTA 920Guided Dissertation Research
BSTA 995Dissertation

The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2018 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
Introduction to Epidemiology
Biostatistics in Practice
Lab Rotation
Spring
Statisical Inference I
Statistical Methods for Categorical and Survival Data
Introduction to Linear Models and Generalized Linear Models
Biostatistics in Practice
Lab Rotation
Summer
Lab Rotation
Year 2
Fall
Statistical Inference II
Statistical Computing
Advanced Survival Analysis
Lab Rotation 1
Pre-Dissertation Research
Spring
Design of Observational Studies
Design of Interventional Studies
Longitudinal Data Analysis
Lab Rotation 1
Pre-Dissertation Research
Elective
Year 3
Fall
Pre-Dissertation Research
Elective
Elective
Spring
Guided Dissertation Research
Elective
Elective
Year 4 and Beyond
Dissertation
Elective
1

Students should take BSTA 699 Lab Rotation if mentor is not yet selected or BSTA 899 Pre-Dissertation Research if mentor has been selected.