Data Science Minor
Coordinator: Jill Tysse
The Data Science minor is open to students from all majors. The academic discipline of Data Science has emerged in recent years to handle the analysis of more readily available "big data" in all areas of life. Data scientists apply tools originating in the fields of computer science, mathematics, and statistics to their core activities: data collection, processing, analysis, inference, and interpretation and communication of such analyses in an ethical manner.
Requirements for the Minor
Required
One introductory statistics course from the following:
| MATH 112 | Applied Statistics | 3.0 |
| MATH 213 | Statistical Concepts and Methods | 4.0 |
| ECMG 212 | Statistics for Economics & Management | 3.0 |
| PSY 211 | Elementary Statistics | 3.0 |
| Total Credit Hours: | 3.0-4.0 |
*Students taking MATH 112 or PSY 211 or ECMG 212 as their introductory statistics course must also have Level III mathematics placement to proceed with the minor.
Other Requirements
| CS 100 | Applied Computing I | 3.0 |
| CS 200 | Applied Computing II | 3.0 |
| MATH 313 | Statistical Modeling | 3.0 |
| Total Credit Hours: | 9.0 |
Electives
One of the following:
An appropriate alternative 3-credit elective, may be substituted upon approval by the Minor Coordinator.
Total Credit Hours: 15.0-16.0