Epidemiology and Biostatistics: 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 discrete data analysis, linear models, multivariate methods, survival analysis, statistical computing, and applied data analysis. All students take a course in epidemiology.

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

Required Courses 

Coursework
Theory Courses
BSTA 620Probability I
BSTA 621Statisical Inference I
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
Applications Courses
BSTA 509Introduction to Epidemiology
BSTA 511Biostatistics in Practice
Additional Coursework
Electives

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
Spring
Statisical Inference I
Statistical Methods for Categorical and Survival Data
Introduction to Linear Models and Generalized Linear Models
Biostatistics in Practice
Year 2
Fall
Statistical Computing
Elective
Elective
Spring
Design of Observational Studies
Design of Interventional Studies
Longitudinal Data Analysis
Elective