The minor in applied statistics provides students with the necessary background for careers in statistics and its applications in diverse fields. The minor is open to students from all majors. It offers an opportunity for students to develop the skills expected of entry-level statistical analysts; equipping them with the tools to help companies, organizations, political campaigns and businesses to better anticipate and manage variation.
Minor Requirements
A minimum of fifteen (15) credits are required.
| Code | Title | Credits |
|---|---|---|
| STAT 280 | Statistical Methods | 3 |
| STAT 320 | Applied Regression Analysis | 3 |
| STAT 420 | Applied Multivariate Statistics | 3 |
| Select 6-7 credits of the following: | 6-7 | |
| Applied Machine Learning | ||
| Analytics Applications and Development | ||
| Data Mining | ||
| Advanced Economic Analysis | ||
| Marketing Research | ||
| Advanced Statistics for Psychology | ||
| Quantitative Research Methods and Analysis | ||
| Probability and Statistical Inference | ||
| Probability and Statistical Inference | ||
| Directed Study 1 | ||
| Total Credits | 15-16 | |
- 1
Or equivalent 3-credit research experience in statistics to be approved by the Chair of the Department of Mathematics.
Mathematics Faculty
Julius N. Esunge, Chair
Randall D. Helmstutler, Career Advisor for Pure Mathematics
Jangwoon Lee, Career Advisor for Applied Mathematics
Debra L. Hydorn, Career Advisor for Statistics
Professors
Julius N. Esunge
Debra L. Hydorn
Janusz Konieczny
Jangwoon Lee
J. Larry Lehman
Keith E. Mellinger
Suzanne Sumner
Associate Professors
Melody B. Denhere
Randall D. Helmstutler
Senior Lecturers
Jennifer M. Magee
Lecturers
Keith A. Nabb