Epidemiology and Biostatistics, PhD: Biostatistics

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.

University PhD Benchmarks

In addition to Program requirements, the following milestones must be completed:

Qualifying Evaluation
Candidacy Examination
Dissertation Defense/Oral Exam
Dissertation Deposit


For more information view the University’s Academic Rules for PhD Programs.

Required Courses 

Coursework
Theory Courses
BSTA 6200Probability I1
BSTA 6210Statistical Inference I1
BSTA 6220Statistical Inference II1
Methods Courses
BSTA 5110Biostatistics in Practice1
BSTA 6320Statistical Methods for Categorical and Survival Data1
BSTA 6510Linear Models1
BSTA 6560Longitudinal Data Analysis1
BSTA 6700Statistical Computing1
Additional Coursework6
Research Requirements
2-6 CUs of BSTA 6990 or BSTA 89902-6
Lab Rotation
Pre-Dissertation Research
Dissertation
Guided Thesis Research
Total Course Units16-20

University PhD Benchmarks

In addition to Program requirements, the following milestones must be completed:

Qualifying Evaluation
Candidacy Examination
Dissertation Defense/Oral Exam
Dissertation Deposit


For more information view the University’s Academic Rules for PhD Programs.


The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2025 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.


Sample Plan of Study

Year 1
Fall
Biostatistics in Practice
Probability I
Linear Models
Lab Rotation
Spring
Statistical Inference I
Statistical Methods for Categorical and Survival Data
Advanced Elective
Lab Rotation
Summer
Lab Rotation
Year 2
Fall
Statistical Inference II
Longitudinal Data Analysis
Guided Thesis Research
Lab Rotation 1
Pre-Dissertation Research
Spring
Statistical Computing
Advanced Elective
Advanced Elective
Lab Rotation 1
Pre-Dissertation Research
Year 3
Fall
Pre-Dissertation Research
Advanced Elective
Advanced Elective
Advanced Elective
Spring
Dissertation
Year 4 and Beyond
Dissertation
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.