Curriculum Requirements for Master of Science in Data Science
Major Requirements
| Fundamental Courses |
Credits: |
| DTSC 610 |
Programming for Data Science |
3 |
| DTSC 615 |
Optimization Methods for Data Science |
3 |
| DTSC 620 |
Statistics for Data Science |
3 |
| DTSC 701 |
Introduction to Big Data |
3 |
| DTSC 710 |
Machine Learning |
3 |
| |
|
Total: 15 Credits |
|
Students must choose either Thesis Track or Non-Thesis/Project Track (below) |
| |
| Thesis Track |
Credits: |
| DTSC 890 |
MS Thesis I |
3 |
| DTSC 891 |
MS Thesis II |
3 |
| ELECTIVES |
Consult with program chair/program advisor on any electives. |
9 |
| |
|
Total: 15 Credits |
| |
| Non-Thesis/Project Track |
Credits: |
| DTSC 870 |
MS Project I |
3 |
| ELECTIVES |
Consult with program chair/program advisor on any electives. |
12 |
| |
|
Total: 15 Credits |
| |
| Total Required Credits = 30 |