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Course catalog

Healthcare Management · Proposed course

Healthcare Data Analytics and Visualization

Course code
MHM 602
Credit hours
3
Program
MHM
Delivery
Hybrid/Online

Course description

Course overview

This course introduces students to the use of data analytics and visualization tools in healthcare management. Students will explore data collection, cleaning, and analysis methods for healthcare data, applying visualization software and programming tools to interpret complex information. The course emphasizes using analytics for evidence-based decision-making and strategic planning in healthcare organizations.

Course content is presented for institutional review and remains subject to approval and revision.

Academic focus

Course objectives

  1. 01

    Understand principles of data analytics and their applications in healthcare settings.

  2. 02

    Apply data visualization techniques using tools such as Tableau, Power BI, or Python.

  3. 03

    Interpret healthcare datasets to support organizational strategy and decision-making.

  4. 04

    Demonstrate the ability to transform raw data into actionable insights.

Learning outcomes

Upon completion

  1. CLO 1

    Apply statistical methods and analytical techniques to healthcare datasets (maps to PLO 2, PLO 3).

  2. CLO 2

    Design and interpret visual dashboards and reports for healthcare stakeholders (maps to PLO 2, PLO 7).

  3. CLO 3

    Evaluate the role of data analytics in healthcare operations and policy-making (maps to PLO 1, PLO 2).

  4. CLO 4

    Use visualization software and programming tools to communicate data insights effectively (maps to PLO 2, PLO 7).

Proposed syllabus

Weekly course schedule

The sequence below reflects the current 15-week syllabus and remains subject to institutional review.

  1. Week 1

    Introduction to Healthcare Data Analytics

  2. Week 2

    Healthcare Data Types and Sources

  3. Week 3

    Data Cleaning and Preparation

  4. Week 4

    Statistical Analysis Methods for Healthcare Data

  5. Week 5

    Introduction to Data Visualization Tools (Tableau, Power BI)

  6. Week 6

    Exploratory Data Analysis in Python

  7. Week 7

    Predictive Analytics and Modeling

  8. Week 8

    Midterm Exam and Project Proposal

  9. Week 9

    Dashboards and Reporting for Decision-Makers

  10. Week 10

    Population Health Analytics and Data Ethics

  11. Week 11

    Integrating Data Analytics with Healthcare Operations

  12. Week 12

    Advanced Visualization and Storytelling

  13. Week 13

    Data Governance and Quality Assurance

  14. Week 14

    Final Project Presentations

  15. Week 15

    Final Exam and Reflection

Evaluation

Assessment and grading

  • Data Analytics Project – 30%
  • Midterm Exam – 20%
  • Final Exam – 20%
  • Homework and Exercises – 20%
  • Participation and Discussions – 10%
A = 90–100%B = 80–89%C = 70–79%F = Below 70%

Course resources

Required texts and materials

  • McLaughlin, D. B., & Olson, J. R. (2022). Healthcare analytics for quality and performance improvement (3rd ed.). Health Administration Press.
  • Additional readings and case studies will be provided through the LMS. Students may also use Tableau Public or Power BI Desktop (free versions).