Curriculum
- 30 credits (10 courses at 3 credits each) are needed to complete this degree.
- Students will take 4 required courses and then can choose 6 elective courses from the list.
- For course descriptions, see our course catalog.
| Course Number | Course Name | Credits |
|---|---|---|
| Required Courses | ||
| DTSC 560 | Data Science for Business | 3 |
| DTSC 600 | Information Visualization | 3 |
| DTSC 650 | Data Analytics in R | 3 |
| DTSC 690 | Philosophical and Ethical Issues in Data Science | 3 |
|
Electives |
Choose 6 Courses from these Options |
|
| DTSC 550 | Introduction to Statistical Modeling | 3 |
| DTSC 520 | Fundamentals of Data Science | 3 |
| DTSC 575 | Principles of Python Programming | 3 |
| DTSC 580 | Data Manipulation | 3 |
| DTSC 670 | Foundations of Machine Learning Models | 3 |
| DTSC 660 | Data and Database Management with SQL | 3 |
| DTSC 691 | Applied Data Science | 3 |
| HMGT 526 | Healthcare Finance and Economics | 3 |
| BUSA 505 | The Business Environment | 3 |
| BUSA 585 | Financial Accounting | 3 |
