Program Description
The Master of Science in Computational Biology & Medicine at Thomas Jefferson University equips students with in-demand data skills essential for the future of biomedical science.
Technological breakthroughs in biology and medicine have been transforming the biomedical sciences into "information sciences," creating a digital divide that is an ongoing challenge to researchers, clinicians and educators. As a result, the demand for scientists who can successfully analyze complex biomedical data is skyrocketing—with no signs of slowing down.
The MS in Computational Biology & Medicine program addresses this gap by teaching essential and valuable skills that will allow practitioners to become proficient in their assigned tasks, compete effectively in the marketplace and contribute to research teams in academia, the private sector and other venues.
The curriculum features a required MS thesis, specialized electives in professional development and hands-on experiential learning through clerkships—ensuring graduates can hit the ground running.
| Code | Title | Credits |
|---|---|---|
| GC 558 | Intro to UNIX & Program in C | 3 |
| GC 559 | Intro to R Programming | 3 |
| GC 561 | ||
| GC 562 | Computational Genomics | 3 |
| GC 563 | Computational Transcriptomics | 3 |
| GC 564 | Data Mining & Machine Learning | 3 |
| GC 565 | ||
| GC 640 | Research Ethics | 1 |
| GC 660 | Statistical Methods | 3 |
| C 723 | ||
| GC 7XX | 6 | |
| Designated Electives | 7 | |
GC XXX | ||
| Database Design & Mgmt | ||
GC 560 | ||
| Topics-Medical Biochem | ||