More information about our programs can be found on the Graduate Programs in Biomedical Informatics webpage.
Master of Science
- 36 units
- Internship/Mentored Research
- Two to five years for program completion
- Full-time and part-time options
Core Courses
All students in this program will be expected to take the core courses listed below:
| Code | Title | Units |
|---|---|---|
| BMI 5302 | Introduction to Biomedical Informatics I | 3 |
| BMI 5303 | Introduction to Biomedical Informatics II | 3 |
| BMI 5304 | Introduction to Biomedical Data Science I | 3 |
| BMI 5305 | Introduction to Biomedical Data Science II | 3 |
| BMI 5200 | Biomedical Informatics Journal Club | 1 |
| CLNV 510 | Ethical and Legal Issues in Clinical Research | 2 |
| or MSB 512 | Ethics in Biostatistics and Data Science | |
| MSB 507 | R and Python For Biomedical Sciences | 2 |
| Up to 6 units of mentored research or internship | 3-6 | |
Scientific Writing and Grantsmanship
Students in the MS program will be expected to demonstrate completion of a scientific writing or grantsmanship 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.
| Code | Title | Units |
|---|---|---|
| CLNV 529 | Scientific Writing and Publishing | 2 |
| or CLNV 528 | Grantsmanship | |
Suggested Electives
Students can tailor their course work in areas including translational bioinformatics, applied clinical informatics, and public health informatics. Suggested electives for these areas are below.
| Code | Title | Units |
|---|---|---|
| Biol 5488 | Genomics | max. 4 |
| Biol 5491 | Advanced Genetics | 3 |
| CLNV 513 | Designing Outcomes and Clinical Research | 3 |
| CSE 511A | Introduction to Artificial Intelligence | 3 |
| CSE 514A | Data Mining | 3 |
| CSE 517A | Machine Learning | 3 |
| CSE 530S | Database Management Systems | 3 |
| CSE 556A | Human-Computer Interaction Methods | 3 |
| CSE 584A | Algorithms for Biosequence Comparison | 3 |
| CSE 587A | Algorithms for Computational Biology | 3 |
| MSB 503 | Statistical Computing with SAS | 2 |
| MSB 506 | Introduction to R For Data Science | 2 |
| MSB 550 | Introduction to Bioinformatics | 3 |
| MSB 560 | Biostatistics I | 3 |
| MSB 570 | Biostatistics II | 3 |
| PHS 501 | Introduction to Epidemiology | 3 |
| PHS 5252 | Comparative Effectiveness Research | 2 |
| PHS 5254 | Using Administrative Data for Health Services Research | 3 |
| PHS 526 | Patient Safety, Quality Management, and Quality Improvement | 3 |
| PHS 532 | Applied Qualitative Methods for Health Research | 3 |
| PHS 560 | Principles of Shared Decision Making and Health Literacy in the Clinical Setting | 3 |