Program Co-Directors: Ali Rahnavard, Marcos Pérez Losada
Students interested in the dual degree program should confer with the graduate advisor. Visit the program website for additional information.
Credit sharing: 9 credits
| Code | Title | Credits |
|---|---|---|
| MS courses taken during the BS program and corresponding BS courses waived: | ||
| PUBH 6854 | Applied Computing in Health Data Science | |
One of the following BS courses is waived: | ||
| Introduction to Programming with Java | ||
or CSCI 1012 | Introduction to Programming with Python | |
or PUBH 4201 | Practical Computing | |
| PUBH 6884 | Bioinformatics Algorithms and Data Structures | |
One of the following BS courses is waived: | ||
| Algorithms and Data Structures | ||
or PUBH 4202 | Bioinformatics Algorithms and Data Structures | |
| PUBH 6860 | Principles of Bioinformatics | |
| or PUBH 6861 | Public Health Genomics | |
| or PUBH 6886 | Statistical and Machine Learning for Public Health Research | |
One of the following BS courses is waived: | ||
| Machine Learning | ||
| Introduction to Bioinformatics | ||
| Introduction to Genomics | ||
Visit the BS in health data science and MS in health data science program websites for additional information about the individual programs.