Health Analytics, MS
Students are required to complete 12 courses to earn the degree. The curriculum covers one entry level course (taken within first two quarters of the program) based on prior experience. Programming for Health Analytics entry course for students without a programming background and Introduction to Clinical Thinking entry course for students without clinical or healthcare experience. There are eleven core courses including a practicum course. Review curriculum details and elective choices while you consider applying to this program. Current students should refer to curriculum requirements in place at time of entry into the program.
|Entry Courses (1 unit)|
|Complete one entry course in your first or second quarter of the program. 1|
|Programming for Health Analytics|
or MHI 402-DL
|Introduction to Clinical Thinking|
|Core Courses (11 units)|
|Introduction to American Healthcare, Digital Health, and Analytics|
|Data Literacy and Analytics in Healthcare|
|Data Security, Ethics and Governance|
|Regression and Multivariate Analysis|
|Advanced Data Modeling for Health Analytics|
|Feature Engineering and Text Mining|
|Artificial Intelligence and Practical Machine Learning|
|Data Visualization and Storytelling|
|Health Analytics Leadership|
Which entry course should I take?
- Students without an analytics background (e.g., nursing, respiratory therapy, physical therapy, physicians) should take MSHA 401-DL Programming for Health Analytics.
- Students without a clinical background (e.g., engineering, economics, statistics) should take MHI 402-DL Introduction to Clinical Thinking.
Note: Students with neither an analytics or clinical background should take MSHA 401-DL Programming for Health Analytics.
About the Final Project
As their final course in the program, the Capstone is intended to be the culmination of coursework towards the MSHA degree. In the Capstone, students will
- Apply tools learned during MSHA coursework to define a problem in healthcare
- Define the data needed to resolve the problem
- Perform the analysis
- Communicate the results and conclusion of the analysis in written form