Epidemiology and Biostatistics: Biostatistics, PhD
The PhD program in biostatistics is designed to prepare students to be independent researchers in the development of statistical methodologies and in the appropriate and innovative application of these methodologies to biomedical research problems. In the first five semesters of the program, students complete a series of courses in both theory and applied methodology, engage in individually mentored research experiences, explore statistical collaboration, and complete the qualifications examination. Within this period, students also identify a dissertation research problem and an advisor and present a research proposal as part of the candidacy examination. Students typically defend their dissertations and graduate within five years of matriculation.
For more information: https://www.med.upenn.edu/ggeb/ggeb-courses.html
View the University’s Academic Rules for PhD Programs.
Required Courses
| Code | Title | Course Units |
|---|---|---|
| Coursework | ||
| Theory Courses | ||
| BSTA 6200 | Probability I | |
| BSTA 6210 | Statistical Inference I | |
| BSTA 6220 | Statistical Inference II | |
| Methods Courses | ||
| BSTA 6300 | Statistical Methods and Data Analysis I | |
| BSTA 6320 | Statistical Methods for Categorical and Survival Data | |
| BSTA 6510 | Introduction to Linear Models and Generalized Linear Models | |
| BSTA 6560 | Longitudinal Data Analysis | |
| BSTA 6600 | Design of Observational Studies | |
| BSTA 6610 | Design of Interventional Studies | |
| BSTA 6700 | Statistical Computing | |
| BSTA 7540 | Advanced Survival Analysis | |
| BSTA 5110 | Biostatistics in Practice | |
| Additional Coursework | ||
| Electives | ||
| BSTA 7510 | Statistical Methods for Neuroimaging | |
| BSTA 7820 | Stat Meth/Incomplet Data | |
| BSTA 7870 | Methods for Statistical Genetics and Genomics in Complex Human Disease | |
| BSTA 7890 | Big Data | |
| BSTA 7900 | Causal Inference in Biomedical Research | |
| Research Requirements | ||
| BSTA 6990 | Lab Rotation | |
| BSTA 8990 | Pre-Dissertation Research | |
| BSTA 9950 | Dissertation | |
| BSTA 7500 | Statistical Methods for Risk Prediction and Precision Medicine | |
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2023 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 | ||
| Lab Rotation | ||
| Spring | ||
| Statistical Inference I | ||
| Statistical Methods for Categorical and Survival Data | ||
| Introduction to Linear Models and Generalized Linear Models | ||
| Lab Rotation | ||
| Summer | ||
| Lab Rotation | ||
| Year 2 | ||
| Fall | ||
| Statistical Inference II | ||
| Advanced Survival Analysis | ||
| Longitudinal Data Analysis | ||
| Biostatistics in Practice | ||
| Lab Rotation 1 | ||
or BSTA 8990 | Pre-Dissertation Research | |
| Spring | ||
| Statistical Computing | ||
Advanced Elective/Minor | ||
| Lab Rotation 1 | ||
or BSTA 8990 | Pre-Dissertation Research | |
Elective | ||
| Year 3 | ||
| Fall | ||
| Pre-Dissertation Research | ||
Elective | ||
| Spring | ||
| Dissertation | ||
| Year 4 and Beyond | ||
| Dissertation | ||
Elective | ||