| Degree | Master of Science |
| Format | Online (distance learning) ———————————- Hybrid(Online and in person) |
| Duration: Online Format | 1-year accelerated option ——————————— 2-year standard option |
| Duration: Hybrid Format | 15 months |
| Credits | 36 credit hours |
| Courses | 11 core courses (33 credits) 1 Capstone Project (3 credits) |
To successfully complete the MSHA program and be eligible for the award of degree, students must successfully complete the following requirements:
| Course Name | Credits | Required to Pass |
| Python for Data Science 1 (MTI-521) | 3 | Yes |
| Python for Data Science 2 (MTI-522) | 3 | Yes |
| Python for Data Science 3 (MTI-621) | 3 | Yes |
| Math for Data Science 1 (MDS-511) | 3 | Yes |
| Math for Data Science 2 (MDS-512) | 3 | Yes |
| Math for Data Science 3 (MDS-641) | 3 | Yes |
| Machine Learning for Data Science 1 (MDS-731) | 3 | Yes |
| Generative AI for Data Science 1 (MTI-771) | 3 | Yes |
| Analytics for Decision Making (MDS-645) | 3 | Yes |
| The Business of Medicine (MBU-511) | 3 | Yes |
| Healthcare Quality and Service Optimization (MHC-536) | 3 | Yes |
| Capstone Project (MAF-731) | 3 | Yes |
| Total | 36 |
