Minor in Statistics and Data Science
The Minor in Statistics and Data Science is designed to provide students with the knowledge, skills, and competencies to work in an increasingly data-driven world. Data science is a field of study that combines domain expertise, knowledge of mathematics and statistics, and programming skills to extract meaningful insights from data.
Students with the Minor in Statistics and Data Science may not also select the Minor in Statistical Methods.
| Code | Title | Hours |
|---|---|---|
| Minor in Statistics and Data Science | ||
| Required Courses | ||
| STAT 3379 | Statistical Methods in Practice | 3 |
| or STAT 3390 | Probability and Statistics for Sciences | |
| STAT 3385 | Statistical Methods for Data Science | 3 |
| STAT 4374 | Regression Modeling & Analysis | 3 |
| STAT 4390 | Introduction to Statistical Learning | 3 |
| Prescribed Electives | ||
| Select two from the following: | 6 | |
| Statistical Design and Analysis of Experiments | ||
| Sample Survey Methods | ||
| Introduction to Statistical Computing | ||
| Special Topics in Statistics | ||
| Theory and Applications of Probability and Statistics I | ||
| Theory and Applications of Probability and Statistics II | ||
| Nonparametric Statistics | ||
| Quality Control & Reliability | ||
| Time Series and Forecasting | ||
| Introduction to Applied Bayesian Analysis | ||
| Total Hours | 18 | |
