This graduate certificate trains students in data analysis and statistical methodology. It is intended to complement PhD and MS programs outside the Department of Statistics. It is also intended to be responsive to the needs of those who teach or work in government/industry and want to increase their knowledge of statistics.
The certificate emphasizes the application of statistical tools, not theory. As such, there are no required prerequisite math courses, although one semester of calculus is strongly recommended.
This certificate provides a clear record of additional instruction in statistics for future graduate programs or employers.
The graduate certificate may only be pursued on a part-time basis.
Applicants should have an undergraduate degree from an accredited institution, with a minimum overall GPA of at least 3.00 (on a 4.00 scale). No specific undergraduate degree is required. Applicants are expected to have basic computer literacy. Successful completion of an undergraduate course in statistics is required for admission. One semester of calculus is strongly recommended.
Total credits: 12
|STAT 535||Analysis of Experimental Data 1||3|
|Select 9 credits from the following:||9|
|Applied Statistics and Visualization for Analytics|
|Nonparametric Statistics and Categorical Data Analysis|
|Applied Regression Analysis|
|Foundations of Statistical Thinking|