M.S. Curriculum, Biomedical Informatics
The M.S. in Medical Sciences with a concentration Biomedical Informatics is a minimum 36-credit-hour degree program, with at least 22 credits specific to the BMI concentration. The curriculum is comprised of:
| Course | Title | Credits |
| Core Courses – select all (16 credits) | ||
| GMS 6803 | Data Science for Clinical Research | 3 Letter-grade |
| GMS 6804 | Translational Bioinformatics | 3 Letter-grade |
| GMS 6805 | Introduction to Applied Ontology | 3 Letter-grade |
| GMS 6806 | Security and Privacy for Clinical Research | 3 Letter-grade |
| GMS 6850 | Foundations of Biomedical Informatics | 3 Letter-grade |
| GMS 7887 | Health Outcomes & Biomedical Informatics PhD Research Seminar | 1 S/U Letter-grade |
| Foundation Courses – select 2 courses (6 credits) | ||
| GMS 6856 | Introduction to Biomedical Natural Language Processing | 3 Letter-grade |
| BME 6938 | Introduction to Biomedical Image Analysis and Imaging Informatics | 3 Letter-grade |
| CEN 5035 | Software Engineering | 3 Letter-grade |
| COP 5725 | Database Management Systems | 3 Letter-grade |
| GMS 6822 | Measuring and Analyzing Health Outcomes | 3 Letter-grade |
| PHC 6410 | Issues in Public Health | 3 Letter-grade |
| PHC 6405 | Theoretical Foundations of Public Health/ PHC 6001: Principles of Epidemiology in Public Health/ Other relevant graduate level course if approved by the program director | 3 Letter-grade |
| GMS 7866 | Principles of Referent Tracking in Biomedical Informatics | 3 Letter-grade |
| Statistics Courses – select 1course (3 credits) | ||
| PHC 6050 | Biostatistical Methods | 3 Letter-grade |
| PHC 6052 | Introduction to Biostatistical Methods | 3 Letter-grade |
| PHC 6053 | Regression Methods for the Health and Life Sciences | 3 Letter-grade |
| STA 6166 | Statistical Methods in Research | 3 Letter-grade |
| STA 6826 | Stochastic Processes I | 3 Letter-grade |
| Advanced Electives – select 2 courses (5-6 credits) | ||
| CAP 5100 | Human-Computer Interaction | 3 Letter-grade |
| CAP 5510 | Bioinformatics | 3 Letter-grade |
| CAP 5635 | Artificial Intelligence Concepts | 3 Letter-grade |
| CAP 6610 | Machine Learning | 3 Letter-grade |
| COP 5725 | Database Management Systems | 3 Letter-grade |
| COT 5405 | Analysis of Algorithms | 3 Letter-grade |
| COT 5615 | Mathematics for intelligent Systems | 3 Letter-grade |
| COP 5618 | Concurrent Programming | 3 Letter-grade |
| PHI 5135 | Graduate Logic | 3 Letter-grade |
| BME 6938 | Special Topics: Machine Learning for Health and Biomedical Applications | 3 Letter-grade |
| GMS 6862 | Applied Biostatistics II | 3 Letter-grade |
| STA 6167 | Statistical Methods in Research II | 3 Letter-grade |
| STA 5325 | Fundamentals of Probability | 3 Letter-grade |
| GMS 6885 | Research Designs in Health Outcomes and Policy | 2 Letter-grade |
| GMS 7093 | Introduction to Clinical and Translational Research | 2 Letter-grade |
| Capstone Mentored Research Experience ( 6 credits) | ||
| GMS 6905 | Independent Studies in Medical Sciences (Non-Thesis Eligible) | 6 Letter-grade |
| GMS 6971 | Research for Master’s Thesis (Thesis Eligible) | 6 Letter-grade |
| Total | 36 credits minimum | |