Earn your Master of Science degree in Precision Health in as little as one year. The program consists of 10 courses, including a summer capstone project. Coursework covers the foundations of precision health, including epidemiology and population health, bioinformatics, biostatistics, and inclusion and equity in precision health. Additionally, all students will develop expertise in an area of concentration: data science, clinical research, or entrepreneurship in medicine. The curriculum encompasses three components:
Six core courses are required of all students.
- Principles of Precision Health
- Issues in Inclusion and Equity in Precision Health
- Clinical Epidemiology
- Introduction to Biostatistics
- Applied Regression Analysis
- Introduction to Biomedical Informatics and Ethical Issues in Precision Medicine
All students will complete a capstone project that puts into practice the knowledge and skills learned during the program. Students will work with a faculty mentor who will provide guidance and feedback throughout the capstone experience. The capstone class will provide instruction on project design and management, literature reviews, research and referencing, and writing and presentation. The final project may be research-based or applied, depending on the student’s interests and career objectives. A final presentation will complete the capstone project.
Each concentration requires three courses. The courses listed below are representative; other electives are possible with approval from the instructor and Program Director.
Data Science track
Machine Learning and Artificial Intelligence in Precision Health Research
Computational Biology: A Machine Learning Approach
Computer Programing for Population Health
Causal Inference in Machine Learning
Machine Learning and Large-scale Data Analysis
Clinical Research track
Introduction to Clinical Trials
Computer Programming for Population Health
Pharmacogenetics and Pharmacogenomics
Entrepreneurship for Science & Medicine
Life Sciences: Innovation and Finances
Healthcare Analytics Lab
Healthcare Data Analytics
A full-time course load is 3 courses per quarter (autumn, winter, spring), plus the capstone class in summer quarter. Students attending full-time can complete the program in one year. Part-time arrangements may also be available.