Master of Science in Health Care Informatics
Healthcare Data Analytics & AI Specialization
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Healthcare Data Analytics and Artificial Intelligence Specialization
The Healthcare Data Analytics and Artificial Intelligence specialization is designed for students passionate about a career at the intersection of data science and modern medicine. In this track, students take a deep dive into every facet of data analytics as it applies to healthcare informatics.
Our curriculum reflects the rapid shift toward automation in the industry. Through project-based assignments, students will move beyond theory to gain experience in Python scripting, SQL, and AI-assisted development workflows. Courses are taught by active informaticists, ensuring students receive unparalleled instruction from experts in the field.
Graduates of this 30-unit specialization will be prepared to proficiently utilize advanced analytics tools and programming skills to architect unique solutions for solving a wide array of current and evolving healthcare problems.
This track is for students who:
- Want to develop programming skills and learn to integrate AI tools responsibly to optimize healthcare workflows.
- Are interested in the ethical, legal, and regulatory frameworks required to govern AI and machine learning in a clinical setting.
- Have an interest in health informatics research, biostatistics, and using data-driven hypotheses to improve patient outcomes.
- Are interested in pursuing a career as a data scientist or plan to pursue doctoral-level studies.
20
Average number of months it takes to graduate from the program
15–20
Average number of hours of coursework to expect each week
Healthcare Data Analytics & AI Curriculum Highlights
- 10 courses for a total of 30 units over 5 terms
- 8 core courses
- 2 specialization courses
- Online students take one 7-week class at a time. Courses are taken year-round in the spring, summer, and fall terms.
- Campus students take 3, 14-week courses concurrently in the evening. Courses are taken in the fall and spring semesters, with the option to add on courses in the summer semester.
- Optional elective courses may be available
Orientation
Online: Before starting your first term, you’ll be required to complete the program orientation course. This self-paced course typically takes about 12-16 hours to finish, depending on your familiarity with online learning platforms. While you can complete it at your own pace, it is mandatory, so please plan your schedule accordingly.
Campus: Orientation for on-campus students will be scheduled near the start of the term and coordinated with you directly by a member of our team.
Core Courses – Taken By All Students
The curriculum includes the following courses:
| Course | Units |
|---|---|
|
Explore the intersection of healthcare delivery, information management, and artificial intelligence, focusing on the ethical, regulatory, a… |
3 |
|
Focus on advanced database design, modeling, and management within the healthcare environment. Gain the technical SQL skills and systems eng… |
3 |
|
Gain a comprehensive exploration of electronic health records (EHRs) and clinical documentation, combining theoretical regulatory frameworks… |
3 |
|
Examine the legal and ethical frameworks governing healthcare AI and data privacy. Learn to mitigate liability through risk-management tools… |
3 |
|
Focus on foundational analytic methods for population health by training to query healthcare databases, construct demographic and clinical c… |
3 |
|
Building on analytical foundations, transform complex healthcare datasets into interactive dashboards and data models that drive clinical, f… |
3 |
|
Integrate biostatistics and advanced research methods to evaluate healthcare programs. Gain the data stewardship, security, and analytical s… |
3 |
|
Integrate health informatics theory with practical application through an independent project and reflective ePortfolio focused on evaluatin… |
3 |
Healthcare Data Analytics & AI Specialization Courses
| Course | Units |
|---|---|
|
Gain an introduction to Python scripting and AI-assisted development workflows to automate routine data processing and improve operational e… |
3 |
|
Gain a foundational understanding of machine learning techniques, such as classification, clustering, and regression, to identify clinical p… |
3 |
Optional Elective for On-Campus Students (Not Part of Your Degree Requirements)
| Course | Units |
|---|---|
|
Gain practical experience in real-world healthcare informatics and data analytics settings, translating theoretical knowledge into practical… |
3 |
Are you an International Student?
If you are planning to seek a visa to attend the MS-HCI program
on-campus, you will enroll in a full-time course of study that includes courses from both specializations.
Technology Requirement
All students in the MS-HCI program are required to have a Windows-based computer by the start of their first term.
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