More information about our programs can be found on the Graduate Programs in Biomedical Informatics webpage.
Master of Science
- 36 units
- Capstone/thesis
- Two to five years for program completion
- Full-time and part-time options
- Three tracks offered:
- Translational bioinformatics
- Applied clinical informatics
- Population health
Core Courses: All Tracks
All students in this program will be expected to take the core courses listed below:
- BMI 5302 Introduction to Biomedical Informatics I (3 units)
- BMI 5303 Introduction to Biomedical Informatics II (3 units)
- BMI 5304 Introduction to Biomedical Data Science I (3 units)
- BMI 5305 Introduction to Biomedical Data Science II (3 units)
- BMI 5200 Biomedical Informatics Journal Club (2 units)
- CLNV 510 Ethical and Legal Issues in Clinical Research (2 units) or MSB 512 Ethics in Biostatistics and Data Science (2 units)
- Up to 10 units of research including capstone or thesis (3 units)
Scientific Writing
Students in the MS program will be expected to demonstrate completion of a scientific writing course by the time of graduation. Students who have taken the equivalent at other institutions may be excused from this course with permission of the program director. If this requirement has not been met, students will enroll in CLNV 529. This course will not count toward the 36 units required for graduation.
- CLNV 529 Scientific Writing and Publishing (2 units)
Suggested Electives
Track: Translational Bioinformatics
| Code | Title | Units |
|---|---|---|
| Suggested Electives: | ||
| Biol 5488 | Genomics | max. 4 |
| Biol 5491 | Advanced Genetics | 3 |
| CLNV 513 | Designing Outcomes and Clinical Research | 3 |
| PHS 5252 | Comparative Effectiveness Research | 2 |
| PHS 5254 | Using Administrative Data for Health Services Research | 3 |
| PHS 532 | Applied Qualitative Methods for Health Research | 3 |
| CSE 530S | Database Management Systems | 3 |
| CSE 584A | Algorithms for Biosequence Comparison | 3 |
| CSE 587A | Algorithms for Computational Biology | 3 |
| CSE 511A | Introduction to Artificial Intelligence | 3 |
| CSE 556A | Human-Computer Interaction Methods | 3 |
| CSE 514A | Data Mining | 3 |
| CSE 517A | Machine Learning | 3 |
| MSB 503 | Statistical Computing with SAS | 2 |
| MSB 506 | Introduction to R for Data Science | 2 |
| MSB 550 | Introduction to Bioinformatics | 3 |
Track: Applied Clinical Informatics
| Code | Title | Units |
|---|---|---|
| Suggested Electives: | ||
| CLNV 513 | Designing Outcomes and Clinical Research | 3 |
| PHS 501 | Introduction to Epidemiology | 3 |
| PHS 532 | Applied Qualitative Methods for Health Research | 3 |
| CSE 530S | Database Management Systems | 3 |
| CSE 556A | Human-Computer Interaction Methods | 3 |
| PHS 560 | Principles of Shared Decision Making and Health Literacy in the Clinical Setting | 3 |
| PHS 526 | Patient Safety, Quality Management, and Quality Improvement | 3 |
| MSB 506 | Introduction to R for Data Science | 2 |
Track: Population Health
| Code | Title | Units |
|---|---|---|
| Suggested Electives: | ||
| CSE 530S | Database Management Systems | 3 |
| PHS 501 | Introduction to Epidemiology | 3 |
| PHS 5254 | Using Administrative Data for Health Services Research | 3 |
| CSE 511A | Introduction to Artificial Intelligence | 3 |
| Biol 5488 | Genomics | max. 4 |
| MSB 503 | Statistical Computing with SAS | 2 |
| MSB 506 | Introduction to R for Data Science | 2 |
| MSB 560 | Biostatistics I | 3 |
| MSB 570 | Biostatistics II | 3 |