Refine your degree with a Graduate Certificate in Applied Statistics
The Department of Statistics offer a Graduate Certificate in Applied Statistics, which is a 12 credit-hour certificate program meant to complement graduate work in another (non-statistics) program. Coursework includes topics in basic and more advanced statistical methods as well as programming. Because of the interdisciplinary nature of the program, a student must take classes from multiple departments to count towards the certificate.
Curriculum and Courses
- 1. Introductory Statistics
Describing data, producing data, drawing conclusions from data
Satisfied by STA 671, EHS 667, GTY 708, PSY 601, STA 501+562, or other comparable course(s) approved by the Coordinating Committee.
- 2. Regression and Experimental Design
Linear, multiple regression, logistic regression, ANOVA models (blocking, factorial treatments, etc.)
Satisfied by STA 672, EHS 668, GTY 718, PSY 602, STA 563, or other comparable course(s) approved by the Coordinating Committee.
- 3. Statistical Programming
Computer-based solving of data analytic problems
Satisfied by STA 502, STA 504, CSE 603, or other comparable courses(s) approved by the Coordinating Committee.
- 4. Advanced Methods
Satisfied by any of the STA topics classes at the 5xx/6xx level (e.g., STA 583 Time Series, STA 527 Bayesian Methods), GTY 750 (methods topics class), CSE 620 (bioinformatics), PSY 694 (Advanced Regression Analysis), or other comparable courses(s) approved by the Coordinating Committee.