The Data Analytics Minor consists of the following courses:
| Code | Title | Credits |
|---|---|---|
| CS 190 | Computer Science I | 3 |
| CS 303 | Machine Learning | 3 |
| MATH 213 | Probability and Statistics (GT-MA1) | 3 |
| or ECON 216 | Statistics for Business and Economics | |
| MATH 260 | Applied Linear Algebra | 3 |
| MATH 313 | Statistical Modeling and Simulation | 3 |
| And six credits from the following, including at least 3 upper division: | 6 | |
| Genome Analysis (with laboratory) | ||
| Database Management Systems | ||
| Data Analytics | ||
| Big Data Analytics | ||
| Distributed Computing for Machine Learning and Data Analysis | ||
| Macroeconomics (GT-SS1) | ||
or ECON 202 | Microeconomics | |
| Econometrics | ||
| Quantitative Skills for Climate Action Planning | ||
| Intro Geographic Info Systems | ||
| Geospatial Analysis | ||
| Applied Probability I | ||
| Genome Analysis (with laboratory) | ||
| Linear Algebra | ||
| Numerical Methods | ||
| Applied Probability II | ||
| Total Credits | 21 | |