Statistics Academic Graduate Certificate
At least half of the credits used for this certificate must be at the 5000 level. All required coursework must be completed with a grade of B or better (O-10-b).
| Code | Title | Hours |
|---|---|---|
| STAT 4220 | Survey Sampling Methods | 3 |
| or STAT 5070 | Experimental Design | |
| Select additional courses from the following: | 9 | |
| Introduction to SAS/R Programming (Choose only one of these three) | ||
or STAT 4260 | SAS Programming | |
or STAT 4270 | R Programming | |
| Survey Sampling Methods | ||
| Probability Theory | ||
| Mathematical Statistics | ||
| Experimental Design | ||
| Nonparametric Statistics | ||
| Applied Regression Modeling | ||
| Statistical Learning and Predictive Modeling | ||
| Multivariate Analysis | ||
| Introduction to Bayesian Statistics | ||
| Regression | ||
| Statistical Ecology | ||
| Computer Intensive Statistics | ||
Other advisor-approved electives | ||
| Total Hours | 12 | |
Courses to total 12 credits for this certificate
- The student will be able to conduct a statistical analysis using methods that are appropriate for their data.
- The student can diagnose whether the assumptions of the chosen statistical method are valid.
- The student can clearly explain the results of the statistical analysis and if the statistical method(s) are valid.