Data Science Minor
Administered by the mathematics and statistics department, in consultation with the department of computing and information sciences, the data science minor develops the student’s ability to process, organize, visualize, and analyze data.
A minimum of 15 credit hours is required to complete this minor. Students who intend to complete this minor are strongly encouraged to consult their academic advisors before they begin their junior year. Depending on their major, students are advised to include specific courses as electives in their plans of study. Students should consult their academic advisors to determine which requirements these other courses fulfill.
| Course | Title | Credits |
| DATA 151 | Introduction to Data Science | 3 Credits |
| One course from the following options: | ||
| DATA 433 | Data Mining and Applications | 3 Credits |
| BAN 440 | Machine Learning | 3 Credits |
| One course from the following options: | ||
| CS 350 | Database Management Systems | 3 Credits |
| BAN 330 | Database Management Systems | 3 Credits |
| One course from the following options: | ||
| DATA 374 | Computational Linear Algebra | 3 Credits |
| DATA 375 | Scientific Visualization | 3 Credits |
| DATA 490 | Advanced Topics in Data Science | 3 Credits |
| At least 3 additional credits coming from courses with a DATA prefix or from the following options: | ||
| BIO/MATH 321 | Mathematical Models in Infectious Diseases | 3 Credits |
| CS 325 | Simulation and Modeling | 3 Credits |
| CS 345 | Artificial Intelligence | 3 Credits |
| ECE 452 | Digital Signal Processing | 3 Credits |
| ECON 473 | Applied Data Science | 3 Credits |
| GEO/MET 460 | Data Analysis | 3 Credits |
| ME 333 | Mechanical Measurements Laboratory | 4 Credits |
| PHYS 246 | Data Reduction and Error Analysis | 1 Credit |
| PSY 370 | Laboratory in Experimental Design and Analysis | 3 Credits |
| STAT 343 | Time Series Analysis | 3 Credits |
| STAT 361 | Introduction to R | 1 Credit |
| STAT 363 | Introduction to SAS | 3 Credits |