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.
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 | Statisical 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 | |
| or BSTA 661 | Design of Interventional Studies | |
| BSTA 670 | Statistical Computing | |
| Applications Courses | ||
| BSTA 509 | Introduction to Epidemiology | |
| BSTA 511 | Biostatistics 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
| Code | Title | Course Units |
|---|---|---|
| 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 | ||
or BSTA 661 | Design of Interventional Studies | |
| Longitudinal Data Analysis | ||
Elective | ||