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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CHLC 620 Data Governance in Healthcare (3 credits)
Overview
Health Care : In-depth analysis of the characteristics and stakeholders in data governance (tools, people and processes) within the healthcare context. Emphasis on data strategies, tooling creation and governance principles in healthcare organizations.
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.
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CHLC 630 Artificial Intelligence in Healthcare (3 credits)
Overview
Health Care : In-depth examination of how artificial intelligence (AI) is changing operations in healthcare through analysis of the AI impact and its application on healthcare systems. Topics include AI operations (Ops) and operational infrastructure, exploration of AI Ops in automation, and AI Ops cloud operations. Extensive exploration of current possibilities using AI in healthcare and how AI works in practice.
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.
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)
Course includes synchronous activities.
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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.
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CHLC 690 Special Topics in Healthcare (3 credits)
Overview
Health Care : Analysis of selected topics in the healthcare sector.
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.
Restrictions: Not open to students who have taken CHLC 590, 590N1/N2, 590J1/J2/J3.
1.Content will vary from year to year.
2.Course may be offered in person or online with synchronous and asynchronous activities.
Or another 600-level course offered by the School of Continuing Studies and approved by the academic unit.
