The following requirements must be fulfilled: 36 credits, including 18 credits in required courses, 16 credits in elective courses, and a minimum of 2 credits in research and thesis coursework.
| Code | Title | Credits |
|---|---|---|
| Required | ||
| 18 credits in required courses. | ||
| PUBH 6080 | Pathways to Public Health * | |
| PUBH 6850 | Introduction to SAS for Public Health Research | |
| PUBH 6851 | Introduction to R for Public Health Research | |
| PUBH 6852 | Introduction to Python for Public Health Research | |
| PUBH 6854 | Applied Computing in Health Data Science | |
| PUBH 6860 | Principles of Bioinformatics | |
| PUBH 6868 | Quantitative Methods | |
| PUBH 6884 | Bioinformatics Algorithms and Data Structures | |
| PUBH 6886 | Statistical and Machine Learning for Public Health Research | |
| Electives | ||
| 16 credits in pre-approved courses selected from the following: | ||
| PUBH 6859 | High Performance and Cloud Computing | |
| PUBH 6861 | Public Health Genomics | |
| PUBH 6867 | Health Data Visualization | |
| PUBH 6894 | Research Analytics | |
| PUBH 8878 | Statistical Genetics | |
| PUBH 8885 | Computational Biology | |
| Required research/thesis courses | ||
| A minimum of 1 credit must be taken in each PUBH 6897 and PUBH 689. Any additional credits count as elective credits. | ||
| PUBH 6897 | Research in Biostatistics and Bioinformatics | |
| PUBH 6898 | Master of Science Thesis | |
*PUBH 6080 is waived for students who have a prior degree from a Council on Education for Public Health accredited school or program in public health.