Each track in the MS in Biostatistics Program curriculum consists of at least 34 credits which must be completed in one full-time academic year. In addition to coursework, students will complete a capstone project in each term. A detailed curriculum and a capstone overview are provided below.
Coursework – Theory and Methods Track
Students are expected to take a total of five required courses (11 credits) in the Fall Term, five required courses (13 credits) in the Spring I Term, and three required courses (7 credits) in the Spring II Term. In addition to the 31 credits of required coursework, students must take at least one three-credit clinical research-related elective, yielding the 34-credit minimum to successfully complete the MS in Biostatistics Program in one year. Required coursework is indicated in bold below.
Fall
| Course Title | Credits |
|---|---|
| Introduction to Advanced Biostatistics | 3 |
| Fundamentals of Epidemiology | 3 |
| Probability and Inference I | 3 |
| Introduction to BioMedical & Translational Informatics | 1 |
| Capstone | 1 |
| Clinical Trials Management (elective) | 1 |
| Introduction to R Programming (elective) | 1 |
Spring I
| Course Title | Credits |
|---|---|
| Applied Linear Models I | 3 |
| Analysis of Categorical Data | 3 |
| Probability and Inference II | 3 |
| Applied Biostatistics in Clinical Trials | 3 |
| Capstone | 1 |
| Health Economics (elective) | 3 |
Spring II
| Course Title | Credits |
|---|---|
| Analysis of Longitudinal Data | 3 |
| Survival Analysis | 3 |
| Capstone | 1 |
| The Drug Development Process (elective) | 1 |
| Molecular Epidemiology (elective) | 3 |
| Principal Topics in Biomedical Informatics (elective) | 3 |
| Pharmacoeconomics (elective) | 3 |
| Race and Causal Inference Seminar (elective) | 3 |
| Applied Analysis of Healthcare Databases (elective) | 3 |
| Required Credits | 31 |
|---|---|
| Minimum Elective Credits | 3 |
| Total Credits | 34 |