Healthcare Analytics M.S.
The M.S. in Healthcare Analytics is a technical learning program that combines an emphasis on information systems, databases, advanced reporting, and project management with health services administration and leadership. The degree is offered in cooperation with the School of Nursing and Health Sciences.
Graduates of this degree are equipped with essential skills in database structures, reporting applications, and several facets of healthcare administration, equipping them for careers as data and business analysts, administrators, managers, and executives in health-related fields.
- Degree Requirements and Courses
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- INFS6010 Decision Support Systems
- INFS6510 Introduction To Data Analytics
- HSAM6020 Exec Leadership In Healthcare
- HSAM6060 Healthcare Policy, Law / Politics
- INFS6240 Database Management Systems
- HSAM6330 Managing Healthcare Information Systems
- INFS6720 Data Mining
- INFS6440 Advanced Healthcare Information Systems
- INFS6730 Data Integration for Analytics
- INFS/CYMS 6000-7000 Level Elective
- INFS7479 Project Management
- INFS7000 Program Outcomes Assessment (0 credits)
- Program Learning Outcomes
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Through your course work, you will learn how to:
- Develop, manage, and maintain healthcare systems that allow for strategic use of
information in organizational settings. - Effectively leverage technology tools to generate best options for decision making for
healthcare services in an organization. - Develop a broad and deep understanding of the various methods, software tools, and
topical expertise needed to discover meaningful patterns in health-related data – and
effectively communicate the implications for patient outcomes. - Become leaders in the changing domain of healthcare analytics with a focus on
healthcare data to improve patient care.
- Develop, manage, and maintain healthcare systems that allow for strategic use of
- Admissions, Tuition, and Scholarship Information
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- Prospective students should have an undergraduate GPA of 2.75 and above with a degree in computer science, information systems, mathematics, software engineering, or related fields.
- Students from other fields are welcome to apply, but should note that some experience with introductory statistics is recommended.
- Contact Us
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Natalya G. Bromall, Ph.D.
Director, CIS Graduate Programs
Professor of Computer and Information SystemsEmail: bromall@rmu.edu
Phone: 412-397-6435
Office Wheatley Center 305
Jamie L. Pinchot, D.Sc.Department Head, Computer and Information Systems
Professor of Computer and Information SystemsEmail: pinchot@rmu.edu
Phone: 412-397-6050
Office: Wheatley Center 309Samantha J. Monda, Ph.D.
Department Head, Psychology and Health Sciences
Associate Professor of PsychologyEmail: monda@rmu.edu
Phone: 412-397-6036
Sample Courses:
These are some of the classes for students in this academic program:
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