Healthcare Analytics M.S.

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Program Credits

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

View Guided Curriculum

  • 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

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.

Admissions, Tuition, and Scholarship Information

  • 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 must take two prerequisite courses at the undergraduate level, one in statistics and one in Python programming, before beginning the MS Healthcare Analytics program. The prerequisite courses can be taken at RMU or another institution and include:
    • STAT 2110 Statistics or a similar course
    • INFS 3240 Python Programming or a similar course
  • 4+1 accelerated prospective students are encouraged to take the prerequisite courses as open electives to prepare them to begin the MS Healthcare Analytics program.

Contact Us

Natalya G. Bromall, Ph.D.

Director, CIS Graduate Programs 

Professor of Computer and Information Systems


Phone: 412-397-6435 

Office Wheatley Center 305

Jamie L. PinchotJamie L. Pinchot, D.Sc.

Department Head, Computer and Information Systems

Professor of Computer and Information Systems


Phone: 412-397-6050 

Office: Wheatley Center 309

Samantha J. Monda, Ph.D.

Department Head, Psychology and Health Sciences

Associate Professor of Psychology


Phone: 412-397-6036

Sample Courses:

These are some of the classes for students in this academic program:

Managing Healthcare Information Systems
Data Mining
Executive Leadership in Healthcare

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School of Data Intelligence and Technology

School of Data Intelligence and Technology

In the School of Data Intelligence & Technology, students are immersed in cutting-edge programs that prepare them for careers in a variety of rapidly evolving fields. 

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