Data Science Minor
Minor Requirements
22 credits
| Code | Title | Credits |
|---|---|---|
| DATA 125 | SURVEY OF DATA SCIENCE | 4 |
| DATA 225 | INTRODUCTION TO VISUALIZATIONS | 4 |
| MATH 280 | MATHEMATICAL MODELING EXPERIENCE | 1 |
| COMP 160 | BEG. PROGRAMMING AND PROBLEM-SOLVING | 4 |
| Choose one of: | 3-4 | |
| INTRODUCTION TO STATISTICS | ||
| PROBABILITY AND STATISTICS I | ||
| Remainder of credits of the following (to reach 22 total): | 5-6 | |
| BIOINFORMATICS | ||
| DATABASE MANAGEMENT SYSTEMS | ||
| ECONOMETRICS | ||
| CALCULUS I | ||
| LINEAR ALGEBRA | ||
| NUMERICAL ANALYSIS | ||
| PROBABILITY & STATISTICS II | ||
| COMPUTATIONAL PHYSICS | ||
| FAIRNESS AND RESPONSIBILITY IN DATA SCI | ||
| MACHINE LEARNING | ||
| DATA MANAGEMENT AND ANALYSIS W/ PYTHON | ||
| Total Credits | 22 | |
Student Learning Outcomes
- develop quantitative and analytical skills that are applicable to a wide range of disciplines;
- use data-driven solutions to make and defend informed judgments;
- apply data science to real world problems and communicate their solutions effectively; and
- develop teamwork skills.