Program Overview

Master of Health Informatics and Analytics Program

The Master of Health Informatics and Analytics (MHIA) is a course-based graduate program designed to prepare students for leadership roles in health informatics and data analytics.

Program Overview

• The program is offered by the School of Public Health Sciences at the University of Waterloo.
• Students must complete the following to graduate:
  • Seven core courses
  • Two elective courses
  • One practicum course (HLTH 640 – 12 to 16 weeks, 420 hours)
• Note: There is no research or thesis option.

Program Duration

• Full-time: Completed in two years (three courses per term; three terms per year)
• Part-time: One course per term; must be completed within four years of entry

Workload Expectations

• Students should expect to spend approximately 12–15 hours per week on coursework, per course.
• Full-time students may spend up to 45 hours per week on coursework.

Courses at a Glance

The MHIA program can be completed without specialization or with a concentration in Health Informatics or Advanced Analytics.

MHIA (without specialization)

• HLTH 612/CS 792 Data Structures and Standards in Health Informatics
• HLTH 605B Quantitative Method and Analysis
• HLTH 613 Information Technology for the Health Professional
• HLTH 648M Ethics and Privacy Considerations for Digital Technology and Artificial Intelligence in Health (0.25 unit weight)
• HLTH 649M Leadership in Digital Health and Transformation (0.25 unit weight)
• HLTH 640 Professional Experience Practicum (1.5 unit weight)
• Two HLTH/CS electives (four modular courses, two 0.5 unit courses, or a combination that adds up to a total of one unit)

MHIA Health Informatics Specialization

• HLTH 612/CS 792 Data Structures and Standards in Health Informatics
• HLTH 605B Quantitative Method and Analysis
• HLTH 613 Information Technology for the Health Professional
• HLTH 648M Ethics and Privacy Considerations for Digital Technology and Artificial Intelligence in Health (0.25 unit weight)
• HLTH 649M Leadership in Digital Health and Transformation (0.25 unit weight)
• HLTH 640 Professional Experience Practicum (1.5 unit weight)
• CS 634 Security and Privacy for Health System (0.5 unit weight)
• CS 638 Principles of Database Management and Use (0.5 unit weight)
• HLTH 615 Requirements Specification and Analysis in Health Systems (0.5 unit weight)
• Two HLTH/CS electives (four modular courses, two 0.5 unit courses, or a combination that adds up to a total of one unit)

MHIA Advanced Analytics Specialization

• HLTH 612/CS 792 Data Structures and Standards in Health Informatics
• HLTH 605B Quantitative Method and Analysis
• HLTH 613 Information Technology for the Health Professional
• HLTH 648M Ethics and Privacy Considerations for Digital Technology and Artificial Intelligence in Health (0.25 unit weight)
• HLTH 649M Leadership in Digital Health and Transformation (0.25 unit weight)
• HLTH 640 Professional Experience Practicum (1.5 unit weight)
• HLTH 619 Fundamental Research Methods in Health Informatics (0.5 unit weight)
• HLTH 657M Application of Artificial Intelligence in Health (0.25 unit weight)
• HLTH 658M Machine Learning Techniques in Health (0.25 unit weight)
• HLTH 717M Advanced Artificial Intelligence in Health I (0.25 unit weight)
• HLTH 718M Natural Language Processing Algorithm and Application in Health (0.25 unit weight)
• Two HLTH/CS electives (four modular courses, two 0.5 unit courses, or a combination that adds up to a total of one unit)

Elective Courses

Students must also complete two HLTH/CS elective courses. Possible elective courses include:

• HLTH 603 Health Policy in Public Health (0.5 unit weight)
• HLTH 608 Health and Risk Communication in Public Health (0.5 unit weight)
• HLTH 609 Management and Administration of Public Health Services (0.5 unit weight)
• HLTH 611 Health Care System (0.5 unit weight)
• HLTH 614 Evaluation of Public Health Programs (0.5 unit weight)
• HLTH 631 Public Health Surveillance (0.5 unit weight)
• HLTH 632 Health Economics and Public Health (0.5 unit weight)
• HLTH 637 Public Health Informatics (0.5 unit weight)
• HLTH 661 Geographic Information Systems and Public Health (0.5 unit weight)
• CS 634 Security and Privacy for Health System (0.5 unit weight)
• CS 638 Principles of Database Management and Use (0.5 unit weight)
• HLTH 615 Requirements Specification and Analysis in Health Systems (0.5 unit weight)
• HLTH 619 Fundamental Research Methods in Health Informatics (0.5 unit weight)
• HLTH 657M Application of Artificial Intelligence in Health (0.25 unit weight)
• HLTH 658M Machine Learning Techniques in Health (0.25 unit weight)
• HLTH 717M Advanced Artificial Intelligence in Health I (0.25 unit weight)
• HLTH 718M Natural Language Processing Algorithm and Application in Health (0.25 unit weight)