MS and Certificate Program Requirements
Prerequisite:
Prerequisite knowledge for the MS program will be a course in Multivariate Calculus. If you’ve taken Calculus I or equivalent, WCU offers MAT 243 to fulfill all requirements. The course is available fully online over the summer and covers all Calculus prerequisite topics, as well as an introduction to the topics needed from Linear Algebra. It will also be expected that a student will have completed an introduction to Statistics at the undergraduate level.
Certificate in Applied Statistics
| Code | Title | Credits |
|---|---|---|
| Required | ||
| STA 507 | Introduction to Categorical Data Analysis | 3 |
| STA 511 | Intro Stat Computing & Data Management | 3 |
| STA 512 | Principles of Experimental Analysis | 4 |
| STA 514 | Modern Experimental Design | 3 |
| Electives | ||
| Select two courses from a selected area of concentration | 6 | |
| Total Credits Required | 19 | |
M.S. in Applied Statistics - Biostatistics and Bioinformatics Concentration
| 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 (other STA electives may be substituted with permission of the Program Director): | 9 | |
STA 532 | Survival Analysis | |
STA 533 | Longitudinal Data Analysis | |
STA 537 | Advanced Statistical Programming Using SAS | |
STA 539 | Applied Bayesian Methods | |
STA 540 | Statistical Consulting | |
STA 541 | Categorical Data Analysis II | |
STA 542 | Statistical Methods for Observational Studies | |
STA 545 | Statistical Design and Analysis of Clinical Trials | |
STA 546 | Foundations of Bioinformatics | |
STA 601 | Internship In Applied Statistics | |
STA 609 | Thesis I | |
STA 610 | Thesis II | |
| Total Minimum Credits Required | 33 | |
M.S. in Applied Statistics - Business and Marketing Analytics Concentration
| 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 (other STA electives may be substituted with permission of the Program Director): | 9 | |
STA 534 | Time Series | |
STA 535 | Multivariate Data Analysis | |
STA 536 | Data Mining | |
STA 537 | Advanced Statistical Programming Using SAS | |
STA 538 | Statistical Programming Using R | |
STA 543 | Statistical Methods in Business and Finance | |
STA 544 | Applied Marketing Analytics | |
STA 601 | Internship In Applied Statistics | |
STA 609 | Thesis I | |
STA 610 | Thesis II | |
| Total Minimum Credits Required | 33 | |
M.S. in Applied Statistics - Data Science Concentration
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| STA 502 | Introduction to Python for Statistics and Data Science | |
| 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 (other STA electives may be substituted with permission of the Program Director): | 9 | |
STA 534 | Time Series | |
STA 536 | Data Mining | |
STA 537 | Advanced Statistical Programming Using SAS | |
STA 538 | Statistical Programming Using R | |
STA 543 | Statistical Methods in Business and Finance | |
STA 544 | Applied Marketing Analytics | |
STA 546 | Foundations of Bioinformatics | |
STA 551 | Foundations of Data Science | |
STA 552 | Applied Statistical Machine Learning | |
STA 553 | Data Visualization | |
STA 601 | Internship In Applied Statistics | |
STA 609 | Thesis I | |
STA 610 | Thesis II | |
CSC 545 | Database Systems Concepts | |
| Total Minimum Credits Required | 34 | |
Post-Master's Certificate of Advanced Study in Applied Statistics
| Code | Title | Credits |
|---|---|---|
| Required Courses | 12 | |
| Students must take four classes from the following list 1 | ||
STA 531 | Topics In Applied Statistics | |
STA 532 | Survival Analysis | |
STA 533 | Longitudinal Data Analysis | |
STA 534 | Time Series | |
STA 535 | Multivariate Data Analysis | |
STA 536 | Data Mining | |
STA 537 | Advanced Statistical Programming Using SAS | |
STA 538 | Statistical Programming Using R | |
STA 539 | Applied Bayesian Methods | |
STA 540 | Statistical Consulting | |
STA 541 | Categorical Data Analysis II | |
STA 542 | Statistical Methods for Observational Studies | |
STA 543 | Statistical Methods in Business and Finance | |
STA 544 | Applied Marketing Analytics | |
| Total Minimum Credits Required | 12 | |
- 1
Selected courses must be different than courses already taken as part of preexisting Master's degree. Additional courses may be selected, or exceptions made, at the discretion of the Program Director.