SURVEY OF HEALTH INFORMATICS PROGRAMS AND
HEALTH INFORMATION MANAGEMENT PROGRAMS IN CANADA 2026 University of Calgary | ||||||||||||||||||||||||
| Program Name | Data Science and Analytics with Specialization in Health Data Science and Biostatistics (M) | |||||||||||||||||||||||
| CONTACT INFORMATION | ||||||||||||||||||||||||
| Department | Data Science and Analytics | |||||||||||||||||||||||
| Faculty | Faculty of Science; Cumming School of Medicine | |||||||||||||||||||||||
| Program Contact Name | ||||||||||||||||||||||||
| Telephone | ||||||||||||||||||||||||
| prograd.science@ucalgary.ca | ||||||||||||||||||||||||
| Street | 602 ICT Building; 2500 University Drive NW | |||||||||||||||||||||||
| City | Calgary | |||||||||||||||||||||||
| Province | AB | |||||||||||||||||||||||
| Postal Code | T2N 1N4 | |||||||||||||||||||||||
| PROGRAM INFORMATION | ||||||||||||||||||||||||
| Program Academic Level | Graduate | |||||||||||||||||||||||
| HI Component Comprehensiveness | Specialization | |||||||||||||||||||||||
| Program Delivery & Attendance | Onsite | |||||||||||||||||||||||
| Program Typical Duration | Full-Time: 12 to 16 months; Part-Time: 4 to 6 Years | |||||||||||||||||||||||
| Credential | Master's Degree | |||||||||||||||||||||||
| Credential Awarded | M | |||||||||||||||||||||||
| Credential Description | Master of Data Science and Analytics | |||||||||||||||||||||||
| Type of Professional Produced by Program List Standard Types (e.g., AHI, RDHI, CHI, HIM, hybrids, all) | Health Data Scientist | |||||||||||||||||||||||
| Type of Role(s) Addressed by Program List Standard Specific Roles (e.g., CIO, Internal Consultant, Teacher, Researcher, etc., all) | Career opportunities include working as an analyst within the health care system working with large administrative health databases or developing algorithms to identify serious health conditions such as atrial fibrillation from wearable devices. Health d | |||||||||||||||||||||||
| Candidate Pre-requisites for Program | A four-year baccalaureate degree from a recognized institution A minimum admission grade point average of 3.00 on a four-point scale or equivalent The successful completion of the following undergraduate courses: one course in computer programming or computer science or equivalent one course in statistics or equivalent, and one course in either calculus or linear algebra or equivalent. Students who successfully complete the Graduate Diploma in Data Science and Analytics with a cumulative GPA of 3.00 or higher will meet the minimum admission requirements for the Master of Data Science and Analytics. | |||||||||||||||||||||||
| Co-op; Practicum | Practicum | |||||||||||||||||||||||
| Part Time Availability | Yes | |||||||||||||||||||||||
| Program Cost | $3,060.00 Per 3 Units | |||||||||||||||||||||||
| Registration Due Date | July | |||||||||||||||||||||||
| Program Website | https://science.ucalgary.ca/data-science/programs/professional-programs/mdsa | |||||||||||||||||||||||
| Program Admissions Requirement Link | https://science.ucalgary.ca/data-science/faq | |||||||||||||||||||||||
| Program Application Link | https://grad.ucalgary.ca/future-students/how-apply | |||||||||||||||||||||||
| Comments on Program | Students in the Health Data Science program have access to the Centre for Health Informatics and are quickly immersed in the Centre’s culture of learning and teamwork throughout their studies. By being in the Centre, students have the unique opportunity to interact, network with, and gain knowledge from leaders in the field of health data science on a daily basis. | |||||||||||||||||||||||
| PROGRAM CURRICULUM | ||||||||||||||||||||||||
| Program Curriculum Information Link | https://science.ucalgary.ca/data-science/programs/professional-programs/mdsa | |||||||||||||||||||||||
| Program Courses | Master's Specific Courses: Integrated Topics in Data Science and Analytics Professional Internship in Data Science and Analytics OR Research Internship in Data Science and Analytics Graduate Certificate (Fundamental Data Science and Analytics) Courses: Working with Data and Visualization Statistical Data Analysis Statistical Modeling with Data Big Data Management Graduate Diploma (Data Science and Analytics) Courses - Health Data Science and Biostatistics Specialization: Advanced Statistical Modelling Machine Learning for Precision Health Big Data in Health Advanced Exploration and Visualization in Health | |||||||||||||||||||||||
| FACULTY ASSOCIATED WITH PROGRAM | ||||||||||||||||||||||||
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