MS in Computational Biology & Medicine

The curriculum for the MS in Computational Biology & Medicine combines fundamental and advanced didactics with hands-on application through active learning course design and completion of a scholarly thesis.

CORE COURSES – 33 CREDITS

• GC 558: Intro to UNIX and Programming in C (3 credits)
• GC 559: Intro to R programming (3 credits)
• GC 561: Data Structures and Algorithms (3 credits)
• GC 562: Computational Genomics (3 credits)
• GC 563: Computational Transcriptomics (3 credits)
• GC 564: Data Mining and Knowledge Discovery (3 credits)
• GC 565: Functional Genomics (3 credits)
• GC 660: Biostatistics (3 credits)
• GC 640: Research Ethics (1 credit)
• GC 723: Communicating Science via Storytelling (2 credits)
• GC XXX: Masters Thesis Research (6 credits)

ELECTIVES –  7 CREDITS

• GC xxx: Masters Clerkship (0-6 credits)
• BI 550: Biomedical Chemistry (3 credits)
• CB 560: Cell Biology (3 credits)
• GC 510: Database Design & Management (2 credits)
• GC 560: Data Visualization (2 credits)

Many additional Jefferson College of Life Sciences biomedical science courses and professional development courses are available as electives.