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 data have transformed the health care sector, and that transformation is accelerating. 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 prepare you to understand the complexity of today's health care environment, we will unlock your ability to create new models and products powered by technology and analytics. But not only will you have the ability to innovate, you wiill be equipped to translate those innovations for maximum impact. As the industry evolves in the digital age, the MSHCA program will prepare you to adapt, using analytics to make a difference at health organizations of all kinds.
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 create urgently needed changes that will shape the health industry in the 21st century.
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SAMPLE SCHEDULE: MSHCA
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 Systems
- Programming with R
- Database Management
- Applied Economic Analysis
- Statistical Methods
- Python Programming
- Data Mining
Year 1 - Spring SEMESTER
- Health Care Information Systems
- Management Science I & II
- Health Care Finance
- Strategic Presentation Skills
- Health Policy
- Data Science for Product Managers
--REQUIRED SUMMER INTERNSHIP--
Year 2 - Fall SEMESTER
- Health Care Analytics Capstone Project
- Health Economics
- Organizational Design and Implementation
- Writing for Public Policy
- Decision Analytics for Business and Policy
- Data Science and Big Data
Year 2 - Spring SEMESTER
- Machine Learning for Health Care
- Unstructured Data Analytics
- IT Project Management
- Health Care Geographic Information Systems (GIS)
- Designing Smart and Healthy Systems