Curriculum in Applied Statistics
The program in applied statistics is designed to be completed in approximately 10 months of full-time study, consisting of a fall and spring semester of courses and seminars followed by a capstone project in the summer, totaling 30 credits.
Students must obtain a B or higher in all courses. Sample courses of study, targeted to particular industries, are given below. Course descriptions can be found HERE.
Summer Semester (4 Weeks) |
|
|---|---|
| Course | Credits |
| Capstone Project | 6 |
Example Programs
Biostatistics or Statistical Bioinformatics Emphasis |
|||
|---|---|---|---|
| Fall Semester | Spring Semester | ||
| Course | Credits | Course | Credits |
| Applied Linear Models | 3 | Applied Generalized Linear Models | 3 |
| Applied Probability | 3 | Statistical Inference | 3 |
| Stat Methods for Molecular Biology | 3 | Stat Methods in the Biological Health Sciences | 3 |
| Business module/technical elective | 3 | ACMS Elective (Bayesian Analysis, Exper. Design) | 3 |
Financial Statistics Emphasis |
|||
|---|---|---|---|
| Fall Semester | Spring Semester | ||
| Course | Credits | Course | Credits |
| Applied Probability | 3 | Stochastic Analysis | 3 |
| Stat Methods for Financial Risk Management | 3 | Time Series Analysis | 3 |
| Financial Computing | 3 | Statistical Inference for Finance | 3 |
| Applied Linear Models | 3 | Applied Generalized Linear Models | 3 |
Statistical Computing Emphasis |
|||
|---|---|---|---|
| Fall Semester | Spring Semester | ||
| Course | Credits | Course | Credits |
| Applied Probability | 3 | Stochastic Analysis | 3 |
| Numerical Analysis I | 3 | Advanced Scientific Computing | 3 |
| Applied Linear Models | 3 | Applied Generalized Linear Models | 3 |
| Business module/technical elective | 3 | Time Series Analysis | 3 |
