Healthcare Data Science, MS
Students are required to complete 12 courses to earn the degree. The curriculum covers 10 core courses including a capstone course. Students are able to select any 2 electives from the list below.
Curriculum
| Course | Title |
|---|---|
| Core Courses (10 units) | |
| MHDS 401-DL | Foundation of Healthcare Programming with Python and R |
| MHDS 403-DL | Introduction to U.S. Healthcare, Digital Health & Analytics |
| MHDS 405-DL | Data Literacy and Analytics in Healthcare |
| MHDS 407-DL | Data Governance, AI Ethics & Cybersecurity |
| MHDS 409-DL | Foundations of Health Statistics and Data Exploration |
| MHDS 412-DL | Feature Engineering and Unstructured Data |
| MHDS 422-DL | Practical Machine Learning and AI in Healthcare |
| MHDS 455-DL | Data Visualization and Storytelling |
| MHDS 480-DL | Healthcare Strategy, Operations, and AI Leadership |
| MHDS 498-DL | Capstone |
| Electives (2 units) | |
| Regression and Multivariate Analysis | |
| Applications of AI in Healthcare | |
| Enabling AI in Healthcare: Cloud Platforms, Data Architecture, and Scalable Systems | |
| Digital Twin Intelligence in Healthcare: Foundations, Agents, and Strategy | |
About the Final Project
As their final course in the program, the Capstone is intended to be the culmination of coursework towards the MHDS degree. In the Capstone, students will
- Apply tools learned during MHDS coursework to define a problem in healthcare
- Define the data needed to resolve the problem
- Perform the analysis
- Communicate the results and conclusion of the analysis in written form