Biostatistics, MS

The goal of the MS program is to train students in the basic theory and applications of statistical methods, as applied to problems in the biomedical sciences. The program typically consists of two years of full-time study, including the preparation of a Master's thesis. Requirements include courses in probability, mathematical statistics, and statistical methods including linear models, longitudinal data analysis, survival analysis, statistical computing, and applied data analysis.

View the University’s Academic Rules for Research Master's Programs.

Research Requirement
Master's Final Exam
Graduate Group signoff

Required Courses 

Coursework
Theory Courses
BSTA 6200Probability I
BSTA 6210Statistical Inference I
Methods Courses
BSTA 5110Biostatistics in Practice
BSTA 6300Statistical Methods and Data Analysis I
BSTA 6320Statistical Methods for Categorical and Survival Data
BSTA 6510Linear Models
BSTA 6560Longitudinal Data Analysis
BSTA 6700Statistical Computing
Additional Coursework
Advanced Electives: Attribute MPEB
Research
BSTA 9900 Guided Thesis Research

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
Spring
Statistical Inference I
Statistical Methods for Categorical and Survival Data
Advanced Elective
Year 2
Fall
Longitudinal Data Analysis
Advanced Elective
Guided Thesis Research
Spring
Statistical Computing
Advanced Elective
Advanced Elective