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 and clinical research informatics
- Clinical informatics
- Bioinformatics
Core Courses: All Tracks
All students in this program will be expected to take the core classes listed below (with the exception of the research credit units):
- 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
- BMI 5305 Biomedical Data Science II (3 units)
- BMI 5204 Mixed Methods in Biomedical Informatics
- BMI 5200 Biomedical Informatics Journal Club (2 units)
- CLNV 510 Ethical and Legal Issues in Clinical Research (2 units)
- BMI 5201 Biomedical Informatics Rotation (4 units)
Core Competencies: All Tracks
Students in the MS program will be expected to have the competencies listed below by the time of graduation. Students who have taken the equivalent at other institutions may be excused from these courses with permission of the program director.
- MSB 506 Introduction to R for Data Science (2 units)
- MSB 560 Biostatistics I (3 units)
- MSB 570 Biostatistics II (3 units)
- BMI 5304 Introduction to Biomedical Data Science I (3 units)
- CLNV 529 Scientific Writing and Publishing (2 units)
Suggested Competencies & Electives
Track: Translational Bioinformatics and Clinical Research Informatics
| Code | Title | Units |
|---|---|---|
| Competency: | ||
| PHS 5252 | Comparative Effectiveness Research | 2 |
| PHS 5254 | Using Administrative Data for Health Services Research | 3 |
| CSE 530S | Database Management Systems | 3 |
| PHS 532 | Applied Qualitative Methods for Health Research | 3 |
| CLNV 513 | Designing Outcomes and Clinical Research | 3 |
| CSE 511A | Introduction to Artificial Intelligence | 3 |
| CSE 556A | Human-Computer Interaction Methods | 3 |
| Suggested Electives: | ||
| CSE 514A | Data Mining | 3 |
| CSE 515T | Bayesian Methods in Machine Learning | 3 |
| CSE 517A | Machine Learning | 3 |
| MSB 503 | Statistical Computing with SAS | 3 |
Track: Clinical Informatics
| Code | Title | Units |
|---|---|---|
| Competency: | ||
| CSE 530S | Database Management Systems | 3 |
| PHS 532 | Applied Qualitative Methods for Health Research | 3 |
| CLNV 513 | Designing Outcomes and Clinical Research | 3 |
| PHS 501 | Introduction to Epidemiology | 3 |
| CSE 556A | Human-Computer Interaction Methods | 3 |
| Suggested Electives: | ||
| 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 503 | Statistical Computing with SAS | 3 |
Track: Bioinformatics
| Code | Title | Units |
|---|---|---|
| Competency: | ||
| CSE 584A | Algorithms for Biosequence Comparison | 3 |
| CSE 587A | Algorithms for Computational Biology | 3 |
Or Biol 5495 | Computational Molecular Biology | |
| CSE 530S | Database Management Systems | 3 |
| CSE 511A | Introduction to Artificial Intelligence | 3 |
| Biol 5488 | Genomics | 3 |
| Suggested Electives: | ||
| Biol 5491 | Advanced Genetics | 3 |
| MSB 503 | Statistical Computing with SAS | 3 |