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 linear models, longitudinal data analysis, survival analysis, statistical computing, and applied data analysis.
For more information: https://www.med.upenn.edu/ggeb/BioMSAcademics.shtml
View the University’s Academic Requirements for Research Master's Programs.
Required Courses
Code | Title | Course Units |
---|---|---|
Coursework | ||
Theory Courses | ||
BSTA 620 | Probability I | |
BSTA 621 | Statistical Inference I | |
Methods Courses | ||
BSTA 630 | Statistical Methods and Data Analysis I | |
BSTA 632 | Statistical Methods for Categorical and Survival Data | |
BSTA 651 | Introduction to Linear Models and Generalized Linear Models | |
BSTA 656 | Longitudinal Data Analysis | |
BSTA 660 | Design of Observational Studies | |
BSTA 661 | Design of Interventional Studies | |
BSTA 670 | Statistical Computing | |
BSTA 754 | Advanced Survival Analysis | |
BSTA 511 | Biostatistics in Practice | |
Additional Coursework | ||
Advanced Electives |
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2020 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.
Sample Plan of Study
Code | Title | Course Units |
---|---|---|
Year 1 | ||
Fall | ||
Probability I | ||
Statistical Methods and Data Analysis I | ||
Design of Observational Studies | ||
Design of Interventional Studies | ||
Spring | ||
Statistical Inference I | ||
Statistical Methods for Categorical and Survival Data | ||
Introduction to Linear Models and Generalized Linear Models | ||
Year 2 | ||
Fall | ||
Advanced Survival Analysis | ||
Longitudinal Data Analysis | ||
Biostatistics in Practice | ||
Advanced Elective | ||
Spring | ||
Statistical Computing | ||
Advanced Elective |