Biomedical Informatics, MSBMI
The MSBMI is designed to provide training for clinicians or those trained in computational, social, biological, and behavioral sciences, aiming to pursue a research-focused career. Students will become adept in applying biomedical informatics principles to advance research in areas such as precision medicine and predictive analytics, digital health, natural language processing, machine learning and artificial intelligence, and clinical data integration and intraoperatively. Graduates of the professional degree program will be equipped with the research skills and knowledge to address important research questions in clinical, translational, and public health.
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2026 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.
The MSBMI will be a 12-course unit curriculum that fulfills the biomedical informatics competencies as established by the American Medical Informatics Association and accepted by the Commission on Accreditation for Health Informatics and Information Management Programs (CAHIIM). Appendix D demonstrates how the curriculum maps to the CAHIIM competencies.
MSBMI and MCI students would share a core of 4 courses (BMIN 5010, 5020, 5030, and 5110). Two additional core courses are designed for MSBMI students; BMIN 5130: Quantitative Research Methods and BMIN 6010: Seminar in Advanced Topics in Biomedical Informatics. Students will take 3 concentration-specific courses and one elective, and will be awarded 2 thesis credits upon successful defense of their thesis. Course syllabi descriptions are listed in Appendix C.
Students in the MSBMI will declare in one of three available concentrations: Clinical Science Informatics (CSI), Translational Bioinformatics (TBI), and Health Artificial Intelligence (HAI). The three concentrations differ in their course curriculum and in the domain focus of the master’s thesis. Students will seek a thesis mentor with primary expertise in the declared concentration.
| Code | Title | Course Units |
|---|---|---|
| Requirements | ||
| BMIN 5010 | Introduction to Biomedical and Health Informatics | 1 |
| BMIN 5020 | Database and Data Integration in Biomedical Research | 1 |
| BMIN 5030 | Data Science for Biomedical Informatics | 1 |
| BMIN 5110 | Biomedical Informatics Methods for Learning Health Systems | 1 |
| BMIN 5130 | Quantitative Methods for Learning Health Systems Science | 1 |
| BMIN 5200 | Foundations of Artificial Intelligence in Health | 1 |
| BMIN 6010 | Seminar in Advanced Topics in Biomedical Informatics | 1 |
| Elective chosen in consultation with advisor | 1 | |
| Thesis fulfilled though: | 2 | |
BMIN 9990 | ||
| Concentration Requirements | 2 | |
| Clinical Science Informatics | ||
| Standards and Clinical Terminologies | ||
| Human Factors | ||
| Translational Bioinformatics | ||
| Advanced Methods and Health Applications in Machine Learning | ||
| Introduction to Bioinformatics | ||
| Health Artificial Intelligence | ||
| Advanced Methods and Health Applications in Machine Learning | ||
| Natural Language Processing for Health | ||
| Total Course Units | 12 | |
Sample Study Plans
Clinical Sciences Informatics Concentration
Full-time program (two years to completion):
| First Year | ||
|---|---|---|
| Fall | Course Units | |
| BMIN 5010 | Introduction to Biomedical and Health Informatics | 1 |
| BMIN 5030 | Data Science for Biomedical Informatics | 1 |
| BMIN 5130 | Quantitative Methods for Learning Health Systems Science | 1 |
| Course Units | 3.00 | |
| Spring | ||
| BMIN 5020 | Database and Data Integration in Biomedical Research | 1 |
| BMIN 5110 | Biomedical Informatics Methods for Learning Health Systems | 1 |
| BMIN 5060 | Standards and Clinical Terminologies | 1 |
| Course Units | 3.00 | |
| Second Year | ||
| Fall | ||
| BMIN 5070 | Human Factors | 1 |
| BMIN 5200 | Foundations of Artificial Intelligence in Health | 1 |
| BMIN 9990 | ||
| Course Units | 2.00 | |
| Spring | ||
| BMIN 6010 | Seminar in Advanced Topics in Biomedical Informatics | 1 |
| Elective | 1 | |
| BMIN 9990 | ||
| Course Units | 2.00 | |
| Total Course Units | 10.00 | |
Part-time program (three years to completion):
| First Year | ||
|---|---|---|
| Fall | Course Units | |
| BMIN 5010 | Introduction to Biomedical and Health Informatics | 1 |
| BMIN 5030 | Data Science for Biomedical Informatics | 1 |
| Course Units | 2.00 | |
| Spring | ||
| BMIN 5020 | Database and Data Integration in Biomedical Research | 1 |
| BMIN 5110 | Biomedical Informatics Methods for Learning Health Systems | 1 |
| Course Units | 2.00 | |
| Second Year | ||
| Fall | ||
| BMIN 5130 | Quantitative Methods for Learning Health Systems Science | 1 |
| BMIN 5060 | Standards and Clinical Terminologies | 1 |
| Course Units | 2.00 | |
| Spring | ||
| BMIN 5070 | Human Factors | 1 |
| Elective | 1 | |
| Course Units | 2.00 | |
| Third Year | ||
| Fall | ||
| BMIN 5200 | Foundations of Artificial Intelligence in Health | 1 |
| BMIN 9990 | ||
| Course Units | 1.00 | |
| Spring | ||
| BMIN 6010 | Seminar in Advanced Topics in Biomedical Informatics | 1 |
| BMIN 9990 | ||
| Course Units | 1.00 | |
| Total Course Units | 10.00 | |