Curriculum

The MHA curriculum addresses the growing demand of data analysts with the knowledge and skills to integrate, analyze, and translate the results of health data.  Students will have unique opportunities to study and practice analytic methods applied particularly to health data, with basic and advanced skills in data mining, statistics, and database processing.

Total: 30 credit hours

Curriculum and Course Sequence

Semester-1 (9 credits)

  • MHA 500  Introduction to Healthcare Analytics (3 credits)
  • MHA 501  Programming Tools and Techniques in Data Management (3 credits)
  • MHA 502  Research Methods (3 credits)

Semester-2 (9 credits)

  • MHA 503  Leveraging Data for Evidence-Based Decision Making (3 credits)
  • MHA 504  Predictive Data Analytics (3 credits)
  • MHA 505  Healthcare Delivery Systems (3 credits)

Semester-3 (6 credits)

  • MHA 506  Data Mining and Machine Learning (3 credits)
  • Elective (3 credits) 
  • Students will choose one of the following courses depending on their individual career goals:
    • MHA 507  Strategic Communication
    • MHA 508  Management of Organizational Change
    • MHA 509  Leadership and Professionalism
    • MHA 510  Population Health and Preventive Care

Semester-4 (6 credits)

  • MHA 511  Practicum Project (6 credits)