Master Data Analysis Across Any Field
The minor in Statistics provides students with a solid foundation in statistical inference and data interpretation. The minor complements a wide range of disciplines, including biology, health, social sciences, and business, by equipping students with the tools necessary to analyze and make informed decisions based on data.
Curricular Requirements for the ÃÛÌÒTVÊÓƵ Minor in Statistics
A student with a major in another program may minor in Statistics with the approval of the associate director of the School of Computer Science and Data Analytics. A minimum of nineteen (19) hours of approved course credit is required.
Students wishing to declare a Statistics minor should complete a course plan in consultation with a Computer Science and Data Analytics faculty member.
Students may earn a minor in Statistics by completing the following:
| Program Required Courses | Credits |
|---|---|
| MAT 150 – Statistics for Life Sciences | 3 |
| MAT 190 – Calculus I | 4 |
| MAT 220 – Linear Algebra | 3 |
| STS 220 – Probability | 3 |
| STS 250 – Statistical Method I: Linear Models | 3 |
| Total Credits | 16 |
| Select One (1) of the Following Courses: | Credits |
|---|---|
| DSC 344 – Machine Learning | 3 |
| DSC 360 – Deep Learning | 3 |
| DSC 410 – Data Mining | 3 |
| DSC 490 – Data Science Topics | 3 |
| STS 210 – Principles of Study Design | 3 |
| STS 280 – Statistical Computing | 3 |
| STS 360 – Time Series Analysis | 3 |
| STS 400 – Bayesian Methods | 3 |
| Total Credits | 3 |
| Minimum Total Required Credits | 19 |
|---|
Please note: While some courses can fulfill both core and program requirements, the credits earned do not count twice towards the minimum total required credits for the degree.