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/bio-academics.html
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2026 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.
Curriculum
| Code | Title | Course Units |
|---|---|---|
| Coursework | ||
| Theory Courses | ||
| BSTA 6200 | Probability I | 1 |
| BSTA 6210 | Statistical Inference I | 1 |
| Methods Courses | ||
| BSTA 5110 | Biostatistics in Practice | 1 |
| BSTA 6320 | Statistical Methods for Categorical and Survival Data | 1 |
| BSTA 6510 | Linear Models | 1 |
| BSTA 6560 | Longitudinal Data Analysis | 1 |
| BSTA 6700 | Statistical Computing | 1 |
| Additional Coursework | ||
| Advanced Electives: Attribute MPEB | 4 | |
| Research | ||
| BSTA 9900 Guided Thesis Research | 1 | |
| Total Course Units | 12 | |
View the University’s Academic Rules for Research Master's Programs.
| Code | Title | Course Units |
|---|---|---|
| Research Requirement | ||
| Master's Final Exam | ||
| Graduate Group signoff | ||
Sample Plan of Study
| Code | Title | Course Units |
|---|---|---|
| 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 | ||
| Master's Thesis | ||
| Spring | ||
| Statistical Computing | ||
Advanced Elective | ||
Advanced Elective | ||