Minor in Data Science
Marketable Skills
- Make data-driven decisions.
- Find patterns and draw conclusions using data.
- Ability to communicate findings to non-statisticians.
- Apply reasoning to solve real-world problems.
- Analytical and problem-solving skills.
- Industry knowledge.
- Teamwork and collaborative skills.
- Designing and conducting quantitative studies.
- Computing skills.
Degree Plan
| Code | Title | Hours |
|---|---|---|
| Required Courses: | ||
| UNIV 1301 | Seminar/Critical Inquiry | 3 |
| Math Electives: | ||
| MATH 1411 | Calculus I | 3-4 |
| or MATH 2301 | Math for Social Sciences II | |
| Minor Electives: | ||
| Select twelve hours from the following (6 hrs in upper division courses): | 12 | |
| Intro to Computer Science and Intro to Computer Science Lab | ||
| Elementary Statistical Methods | ||
| Probability | ||
or STAT 3320 | Probability and Statistics | |
| Statistics Inference | ||
| Applied Regression Analysis | ||
| Statistical Machine Learning | ||
| Statistical Programming | ||
| Total Hours | 18-19 | |