Program of Study
The minimum requirements for the Degree of Master of Data Science are the completion of the following:
- The graduate courses DSCI-6601, DSCI-6602, DSCI-6607, DSCI-6619, DSCI-6659, plus two additional 3-credit hour courses from the list of Data Science Elective Courses or courses from other academic units approved by the Dean of Graduate Studies.
- DSCI-6690 and DSCI-695A/B and a final project report. The report must demonstrate a satisfactory general mastery of data science knowledge.
Schedule
| Fall | |
|---|---|
| DSCI-6619 | Regression models |
| DSCI-6601 | Practical machine learning |
| DSCI-6607 |
Programmatic data analysis using R and Python |
| DSCI-6690 |
Data science case study series |
| *Students must also register for SUBJ 9000 in this semester. |
|
| Winter | |
|---|---|
| DSCI-6659 | Statistical exploration of data |
| DSCI-6602 | Deep learning and artificial intelligence |
| DSCI-695A | Capstone project |
| Elective 1 and possibly elective 2 |
| Spring | |
|---|---|
| DSCI-695B | Capstone project |
| Elective 2 if not previously completed |