M.S. Health Informatics and Analytics
The Health Informatics and Analytics program leverages its position within the School of Data Science and capitalizes on the strength of its partner colleges, the College of Health and Human Services and the College of Computing and Informatics, to prepare national and international students to advance the professional practice of health informatics through a thorough grounding in data science, system architecture, and health analytics. Starting in the fall of 2022 the HIA program began offering two pathways for matriculating students into the MS program. The two options are the Health Services Outcomes (HSO) Concentration or the Data Science (DS) Concentration. The HSO Concentration is most suitable for students with a health-related background, while the DS Concentration assumes more background in computing and statistics. Each concentration has its own selection of Foundational Core, Core, and Selective courses. They share the same broad selection of Restrictive Elective courses.
- 36 graduate credits hours (12 courses) are required to earn an M.S. HIA degree
- 6 credit hours of Foundational Core courses
- 12 credit hours of required Core courses
- 9 credit hours of 'Selective' courses
- 6 hours of Restricted Elective courses
- 3 credit hours of an Internship or Capstone course
Estimated Time to Degree:
- A full-time student (9-12 credit hours/3-4 classes per semester) can complete the program in roughly 15-18 months.
- A part-time student (3-6 credit hours/1-2 classes per semester) can complete the program in approximately 24 months.
Health Services Outcomes (HSO) Concentration
Students who choose the Health Services Outcomes Concentration (HSO) have experience or training in health-related fields but may not have a foundation in computing and programming. The HSO concentration offers introductory courses in programming and databases.
Foundational Core Courses (6 credit hours)
- HADM 6100 - Introduction to the U.S. Healthcare System (3)
- HCIP 5376 - Introduction to Programming for Health Informatics (3)
Core Courses (12 credit hours)
- HCIP 6102 - Healthcare Data Analysis (3)
- HCIP 6160 - Database Systems for Data Scientists (3)
- HCIP 6201 - Health Information Privacy and Security: Law, Ethics, and Technology (3)
- HCIP 6380 - Introduction to Health Informatics (3)
Data Science (DS) Concentration
Students who choose the Data Science Concentration should have a current working knowledge of at least one high-level programming language (e.g., Python, Java, R, or C/C++/C#); and familiarity with computer systems and applications. A minimal background in mathematics, including two semesters of calculus and one semester of statistics, is recommended. One course in linear algebra is also highly desirable.
Foundational Core Courses (6 credit hours)
- HADM 6100 - Introduction to the U.S. Healthcare System (3)
- HCIP 6380 - Introduction to Health Informatics (3)
Core Courses (12 credit hours)
- HCIP 5122 - Visual Analytics (3)
- HCIP 6156 - Applied Machine Learning (3)
- HCIP 6160 - Database Systems for Data Scientists (3)
- HCIP 6201 - Health Information Privacy and Security: Law, Ethics, and Technology (3)
Transfer Credits
Up to six hours of external graduate credit may be transferred to satisfy the requirements for the MS in Health Informatics and Analytics. Requirements for transfer credit:
- Coursework must be approved by the program faculty.
- Only courses in which the student earned a grade of a B or higher will be accepted.
- Graduate credits applied to a previous degree cannot be transferred.
Once a student has been admitted to the program, they can request that their transcripts be reviewed.