
Master of Health Informatics and Analytics
Tailor your learning and your pace with our 100% online graduate program.
The Master of Health Informatics and Analytics (MHIA) program will prepare you to design, implement, and manage informatics solutions incorporating digital and AI technologies. Whether you work in public health or health care, you'll be equipped to leverage data and technology to inform health decision-making or transform clinical care.
The program is entirely online and available via full time or part time studies, offering flexibility to advance your career while balancing your commitments.Ìý
At University of À¶Ý®ÊÓÆµ, you'll be joining a community renowned for its groundbreaking contributions to technology, analytics, artificial intelligence (AI), and research. Learn and collaborate with globalÌýexperts in public health, health systems, healthcare research, public health intervention design and evaluation.Ìý
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Application deadline: February 1Ìý

Offered entirely online, the MHIA format allows you to balance your studies with professional commitments. It can be completed in as little as 16 months or up to four years.

Complement a core of analytics, data science, machine learning, and artificial intelligence with a specialized track in Health Informatics or Advanced Analytics.Ìý

Four-month professional practicum provides hands-on, experiential learning in a real-world public health or health care setting.
Advance your career
Open doors with À¶Ý®ÊÓÆµ's unparalleled industry connections and professional practicum. Prepare for a variety of roles including:
- Health Informatics Consultant
- Clinical Data Analyst
- Public Health Data Analyst
- Manager of Clinical Trial Operations and Informatics
- Health IT Solutions Architect
- Senior Health Business Consultant


Coming from a clinical background, the program helped me shift my career toward something that combined my passion for both health and technology. I wanted to move from helping one patient at a time to making a broader impact across systems that benefit both patients and healthcare providers.
Courses and specializations
MHIA is a course-based curriculum consisting of eight required courses (including 12-16 week practicum course) and two electives. You can complete the recommended core sequence or direct your course selection to complete one of two specialized tracks:
- Health Informatics
- Advanced Analytics
Completing a specialization allows students to build a strong foundation in both areas, while specializing in one, enhancing their skills and boosting employability.
Whether you choose to study part-time or full-time, the MHIA program can be completed in as little as 16 months or up to four years.
What courses will I take?
MHIA courses (without specialization)
Required courses:
- Data Structures and Standards in Health Informatics
- Quantitative Methods and Analysis
- Information Technology Fundamentals for Health Professionals
- Applications and Evaluation of Health Information Technology
- Ethics and Privacy Considerations for Digital Technology and Artificial Intelligence in Health
- Leadership in Digital Health and TransformationÌý
- Professional Experience Practicum
Restricted electives (four to five courses, depending on credit weight):
- Security and Privacy for Health System
- Principles of Database Management and Use
- Requirements Specification and Analysis in Health Systems
- Fundamental Research Methods in Health Informatics
- Application of Artificial Intelligence in Health
- Machine Learning Techniques in Health
- Advanced Artificial Intelligence in Health I
- Natural Language Processing Algorithm and Application in Health
Free electives (two to four graduate level courses at UÀ¶Ý®ÊÓÆµ, depending on credit weight)
MHIA with Health Informatics Specialization
The Health Informatics Specialization equips students with foundational knowledge and practical skills to manage, implement, and evaluate information systems in health settings. Core topics include data standards, privacy and security, database management, and the application of digital health technologies to support clinical and administrative decision-making.
Required courses:
- Data Structures and Standards in Health Informatics
- Quantitative methods and analysis
- Information Technology Fundamentals for Health Professionals
- Applications and Evaluation of Health Information Technology
- Ethics and Privacy Considerations for Digital Technology and Artificial Intelligence in Health
- Leadership in Digital Health and Transformation
- Requirements Specification and Analysis in Health Systems
- Security and Privacy for Health System
- Principles of Database Management and Use
- Professional Experience PracticumÌý
Free electives (two - four graduate level courses at UÀ¶Ý®ÊÓÆµ, depending on credit weight)
MHIA with Advanced Analytics Specialization
The Advanced Analytics Specialization focuses on developing expertise in health data analysis, machine learning, and artificial intelligence to support data-driven decision-making in health care and public health. Students gain practical skills in biostatistics, Python programming, machine learning and deep learning techniques while learning to apply and evaluate advanced analytical methods to real-world health challenges.
Required courses:
- Data Structures and Standards in Health Informatics
- Quantitative methods and analysis
- Information Technology Fundamentals for Health Professionals
- Applications and Evaluation of Health Information Technology
- Ethics and Privacy Considerations for Digital Technology and Artificial Intelligence in Health
- Leadership in Digital Health and Transformation
- Application of Artificial Intelligence in Health
- Machine Learning Techniques in Health
- Advanced Artificial Intelligence in Health I
- Natural Language Processing Algorithm and Application in Health
- Professional Experience Practicum
Free electives (two to four graduate level courses at UÀ¶Ý®ÊÓÆµ, depending on credit weight)
Professional practicum
Gain workÌýexperience by completing a 420-hour professional practicum at aÌýhospital, provincial or federal governmental agency or non-governmental organization.Ìý
You will work closely with the Experiential Learning and Communications Specialist to find a meaningful practicum that will provide you with an opportunity to apply your knowledge and skills in a professional setting and to connect with future employers.
The practicum can be completed on a full-time basis over one term or part time over two terms.
Previous practicum sites and projects
- Canadian Institute for Health Information -ÌýHealth data and information governance strategy
- University Health Network -ÌýUse of data analytics in streamlining lung metastases
- Public Health Ontario -ÌýImplementation of surveillance of healthcare associated infections in long-term care homes in Ontario
- Brampton Civic Hospital -ÌýUnified communications project and meditech MSO project

"I completed a data science internship at Roche, where I developed an RShiny dashboard for clinical trial analysis that contributed to FDA submissions. This hands-on experience strengthened my skills in clinical analytics, statistical programming and digital health innovation." -- GINA NAJIMAN