M.S. in Applied Statistics
College of the Sciences and Mathematics
| Code | Title | Credits |
|---|---|---|
| Required | ||
| STA 503 | Introduction to R | 1 |
| STA 505 | Mathematical Statistics I | 3-4 |
| or STA 504 | Mathematical Statistics I with Calculus Review | |
| STA 506 | Mathematical Statistics II | 3 |
| STA 507 | Introduction to Categorical Data Analysis | 3 |
| STA 511 | Intro Stat Computing & Data Management | 3 |
| STA 512 | Principles of Experimental Analysis | 4 |
| STA 513 | Intermediate Linear Models | 4 |
| STA 514 | Modern Experimental Design | 3 |
| Electives | ||
| Select 9 credits from the following list of electives: | 9 | |
| Topics In Applied Statistics | ||
| Survival Analysis | ||
| Longitudinal Data Analysis | ||
| Time Series | ||
| Multivariate Data Analysis | ||
| Data Mining | ||
| Advanced Statistical Programming Using SAS | ||
| Statistical Programming Using R | ||
| Applied Bayesian Methods | ||
| Statistical Consulting | ||
| Categorical Data Analysis II | ||
| Statistical Methods for Observational Studies | ||
| Statistical Methods in Business and Finance | ||
| Applied Marketing Analytics | ||
| Statistical Design and Analysis of Clinical Trials | ||
| Foundations of Bioinformatics | ||
| Foundations of Data Science | ||
| Applied Statistical Machine Learning | ||
| Data Visualization | ||
| Internship In Applied Statistics | ||
| Thesis I | ||
| Thesis II | ||
| Total Minimum Credits Required | 33 | |
To track their individual degree progress, students are advised to access their Degree Progress Report (DPR) via my WCU and consult their Graduate Coordinator. For more information, visit wcupa.edu/DegreeProgressReport.
The following is a sample suggested course sequence for this program; course offerings and availability are not guaranteed. Students should consult their academic advisor with any questions.
Non-Thesis Option
| Year One | ||
|---|---|---|
| Semester One | Credits | |
| STA 503 | Introduction to R | 1 |
| STA 505 or STA 504 |
Mathematical Statistics I or Mathematical Statistics I with Calculus Review |
3-4 |
| STA 511 | Intro Stat Computing & Data Management | 3 |
| Credits | 7-8 | |
| Semester Two | ||
| STA 506 | Mathematical Statistics II | 3 |
| STA 512 | Principles of Experimental Analysis | 4 |
| Credits | 7 | |
| Summer | ||
| STA 601 | Internship In Applied Statistics (Optional) | 3 |
| Elective (Optional) 1 | 3 | |
| Credits | 6 | |
| Year Two | ||
| Semester Three | ||
| STA 507 | Introduction to Categorical Data Analysis | 3 |
| STA 513 | Intermediate Linear Models | 4 |
| Credits | 7 | |
| Semester Four | ||
| STA 514 | Modern Experimental Design | 3 |
| Elective (Optional) | 3 | |
| Credits | 6 | |
| Total Credits | 33-34 | |
- 1
Can take more than one elective (any STA course numbered STA 531 or above) each summer.
Thesis Option
| Year One | ||
|---|---|---|
| Semester One | Credits | |
| STA 503 | Introduction to R | 1 |
| STA 505 or STA 504 |
Mathematical Statistics I or Mathematical Statistics I with Calculus Review |
3-4 |
| STA 511 | Intro Stat Computing & Data Management | 3 |
| Credits | 7-8 | |
| Semester Two | ||
| STA 506 | Mathematical Statistics II | 3 |
| STA 512 | Principles of Experimental Analysis | 4 |
| Credits | 7 | |
| Summer | ||
| STA 601 | Internship In Applied Statistics (Optional) | 3 |
| Credits | 3 | |
| Year Two | ||
| Semester Three | ||
| STA 507 | Introduction to Categorical Data Analysis | 3 |
| STA 513 | Intermediate Linear Models | 4 |
| STA 609 | Thesis I | 3 |
| Credits | 10 | |
| Semester Four | ||
| STA 514 | Modern Experimental Design | 3 |
| STA 610 | Thesis II | 3 |
| Credits | 6 | |
| Total Credits | 33-34 | |
