Healthcare Data Science and AI, Advanced Graduate Certificate
Curriculum
To earn a certificate, students must complete four of the following courses:
| Course | Title |
|---|---|
| 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 410-DL | Predictive Modeling and Statistical Inference in Healthcare |
| MHDS 412-DL | Feature Engineering and Unstructured Data |
| MHDS 422-DL | Practical Machine Learning and AI in Healthcare |
| MHDS 426-DL | Applications of AI in Healthcare |
| MHDS 427-DL | Enabling AI: Cloud Platforms, Data Architecture, and Scalable Systems |
| MHDS 428-DL | Digital Twin Intelligence in Healthcare: Foundations, Agents, and Strategy |
| MHDS 455-DL | Data Visualization and Storytelling |
| MHDS 480-DL | Healthcare Strategy, Operations, and AI Leadership |
Any course that has a prerequisite may be taken provided the student has met prerequisites through course completion or course waiver.
Please note that courses completed in the certificate program cannot be transferred to the corresponding graduate degree.