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Is MSHCA Right For Me?

The Master of Science in Health Care Analytics & Information Technology (MSHCA) program takes the analytical and technology expertise of Heinz College and targets it to problems facing the health care field.

Technology and big data are transforming the health care sector—experts have truly only scratched the surface. In all aspects of the field and at all points of care, advanced technologies are causing us to rethink what's possible. 

The MSHCA program will prepare you to drive change in the industry immediately upon graduation. We will not only train you to understand the complex business models of today's health care system, we will unlock your ability to create new models powered by technology and analytics. This is the direction the industry is headed, and the MSHCA program will prepare you to navigateas well as causedisruption.

This program is ideal for students with a technical background but is suitable for students from non-technical areas who possess strong quantitative skills. Overall, MSHCA is for individuals who have a passion for health care and want to drive urgently needed changes that will shape the health industry in the 21st century.

MSHCA not what you’re looking for? Return to the Program Finder.

MSHCA Curriculum


Below is one possible schedule for the two-year MSHCA program. Actual schedules will vary depending on location and electives.

Class titles in bold are core courses.

Year 1 - Fall SEMESTER
  • Health Policy and Management Systems
  • Econometrics
  • Programming with R
  • Database Management
  • Organizational Design and Implementation
  • Applied Economic Analysis
  • Statistical Methods

Year 1 - Spring SEMESTER
  • Health Care Information Systems
  • Programming with Python
  • Management Science I & II
  • Health Care Finance
  • Financial Analysis
  • Writing for Public Policy
  • Strategic Presentation Skills


Year 2 - Fall SEMESTER
  • Health Care Analytics Capstone Project
  • Health Economics
  • Data Mining
  • Advanced Business Analytics
  • Data Warehousing

Year 2 - Spring SEMESTER
  • Applied Analytics: The Machine Learning Pipeline
  • Decision Analytics for Business and Policy
  • Unstructured Data Analytics
  • IT Project Management
  • Health Care Geographic Information Systems (GIS)

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