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)

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

Semester-2 (9 credits)

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

Semester-3 (6 credits)

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

Semester-4 (6 credits)

  • Practicum Project (6 credits)