Program Requirements
The online Graduate Certificate in Digital Health Solutions offers a comprehensive introduction to Health Tech, focusing on the digitization of the healthcare sector. The program provides the necessary knowledge and skills for the application of Artificial Intelligence (AI)-based technologies in healthcare, the constantly advancing technology, and developing innovative solutions to the current and future healthcare sector challenges. Topics include leading change, exploring artificial intelligence and data governance in healthcare.
Required Courses (9 credits)
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CPL2 532 Leading Change (3 credits)
Overview
Policy : Leading and managing change issues, including the leader as a change agent and the change process itself. Various models of change and change leadership will be reviewed, as well as follower reluctance or resistance to change and strategies that leaders can use to gain follower commitment.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
**This course will be held on May 13, May 26, June 10 and June 16.
**Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the first lecture day and withdrawal is the second lecture day.
Complementary Courses (6 credits)
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CCCS 610 Digital Thinking for Data Analysis (3 credits)
Overview
Computer Science (CCE) : Examination of programmable tools for data analysis. Application methods to implement fundamental algorithms making use of data structures.
Terms: Fall 2024
Instructors: Babaei, Majid (Fall)
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CCCS 620 Data Analysis and Modelling
(3 credits)
Overview
Computer Science (CCE) : Analysis of fundamental concepts and techniques for data analysis and modelling; basic mathematical and computational concepts needed for data analysis. Application of programmable tools to real-world examples.
Terms: Fall 2024
Instructors: Rahbarnia, Farhad (Fall)
Not open to students who have taken CCS2 505.
Course may be offered in person or online with synchronous and asynchronous activities.
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CCCS 670 Information Visualization (3 credits)
Overview
Computer Science (CCE) : Examination of the application of computational and mathematical concepts, tools, and techniques to visualize quantitative multi-dimensional information. Qualitative information in static, animated, and interactive digital formats. Guidelines and best practices from cognitive psychology, UX, and graphic design, including dashboard tools and storytelling methods.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Course includes synchronous activities.
Or another 600-level course offered by the School of Continuing Studies and approved by the academic unit.
