Program Statistics
Visit Master's Program Statistics for statistics such as program admissions, enrollment, student demographics and more.
Degree Types: MS
The Master of Science (MS) in Biomedical Informatics offers students a unique opportunity to gain expertise in a rapidly evolving field that blends healthcare, data science, and information technology. Unlike other programs that focus on using existing tools, the Biomedical Informatics program emphasizes the development of novel methods tailored to complex biomedical challenges. While students gain some programming skills, the core curriculum goes beyond computer science to focus on domain-specific informatics solutions.
Students complete rigorous coursework alongside those in doctoral programs and are required to complete and defend a master’s thesis under the guidance of a faculty committee.
Key benefits of the program include:
Graduates are well-positioned for roles such as:
Individuals interested in a PhD should look into the Informatics track of the Health Sciences Integrated PhD Program (HSIP) or Driskill Graduate Program in Life Sciences (DGP).
Additional resources:
Visit Master's Program Statistics for statistics such as program admissions, enrollment, student demographics and more.
Contact
Adam White
Graduate Programs Administrator
312-503-2244
The following requirements are in addition to, or further elaborate upon, those requirements outlined in The Graduate School Policy Guide.
Total Units Required: 10
| Course | Title |
|---|---|
| Core Requirements (Both Concentrations) | |
HSIP 441-0 | Health and Biomedical Informatics Methods I |
HSIP 442-0 | Health and Biomedical Informatics Methods II |
HSIP 443-0 | Health and Biomedical Informatics Methods III |
| Health Informatics Concentration | |
MHI 403-DL | Fundamentals of Health Informatics |
| Bioinformatics Concentration | |
DGP 485-0 | Data Science For Biomedical Researchers |
DGP 486-0 | Advance Bioinformatics and Genome Informatics |
| Selective Courses | |
| Each student should take at least two approved course in the following selective areas: | |
Domain knowledge required for research/thesis work | |
Intermediate statistical methods | |
Computation / Programming | |