Courses
In our two-year masters program, you will take a variety of courses in your first year comprised of Core courses and Modules you choose to personalise your learning.
Your second year is dedicated to your Capstone research project, with you only needing to attend the Core capstone class, plus any electives you choose.
To complete the program, you must have 8 full course equivalents (FCE).
Core courses
The Core courses are compulsory classes everyone must take. You will complete 5.0 FCE in Core courses.
These include:
- Foundations in Translational Research (Fall and Winter)
- Projects in Translational Research (Fall and Winter)
- Information, Media, and Communication Literacy for the Sciences (Fall)
- Overview of Methods in Practices and Contexts (Winter)
- Capstone Project in Translational Research (summer and second year only)
Modules
You must take 8 modules as a total of 2.0 FCE (each at 0.25 FCE) over the two years of the program, but you can pick and choose which ones suit your learning needs.
Check the catalogue below for what can be on offer.
Electives
As a part of the degree requirement, you will be required to complete 1.0 FCE in elective courses. We recommend you complete electives in the second year of the program, as these courses should contribute to your learning outcomes, capstone project or career goals.
Electives are graduate level courses that are offered outside of the program by another department in the University of Toronto. Undergraduate courses do not count towards this elective degree requirement.
Enrollment in electives must be approved by the program by completing a Course Add/Drop Form through the School of Continuing Studies (SGS) and should be discussed with your assigned TRP IDP Advisor prior to the SGS sessional add and drop dates.
The Ontario Visiting Graduate Student Agreement (OVGS) is applicable to registered TRP students who wish to take advantage of an elective course outside of the University of Toronto.
You are responsible for researching and identifying course options, host departments as well as OVGS opportunities.
Contact us with any regarding electives at trp@utoronto.ca.
LMP 2390 Special Topics 2025: Economic Thinking in Healthcare and Health Policy
The purpose of this module is to introduce you to theoretical and empirical research and familiarize you with economic techniques with application to healthcare.
You will cover topics such as:
- The role of Economics in Healthcare and Health policies
- Financial structures of Healthcare
- Pharmaceutical markets: drug pricing
- The health innovation ecosystem and the current limitations of the current financial structures (TBC)
Learning outcomes
At the end of this module you will be able to:
- Demonstrate the ability to synthesize economic reasoning.
- Articulate and present economic rationale for health delivery or policy.
- Develop analytical skills to apply economic techniques to healthcare delivery or policy.
- Present your work applying economic techniques to one aspect of healthcare delivery or policy.
Instructor
- Derek Choi
Enrollment
- Students are required to complete eight modules (0.25 FCE each) spread out within 2 years of study.
- Students may enroll in modular courses using ACORN.
- The modular schedule will be emailed to students prior to the start of each semester.
- Modules offered outside of the program are also permitted such as ones offered by the Institute of Medical Science (IMS).
LMP 2390 Special Topics 2025: Healthcare Consulting: Responding to RFPs
A Request for Proposal (RFP) is a standard mechanism for soliciting bits for larger scape public healthcare delivery products, services, and projects.
Responding to an RFP is part expertise, part practice and part art - it requires the synthesis and analysis of primary and secondary research on the nature of the domain and verification of the problem or unmet need; it requires the ability to navigate and manage risk and ambiguity; and it requires the ability to scope and plan projects that are clear, time-bound and feasible. These skills are also all significant aspects of planning and managing a successful Capstone research project at the TRP.
This module is intended to provide you with specific grounded experience for future professional work that may involved responding to RFPs or planning translational projects in healthcare delivery domains. You will learn how to find, evaluate, and respond an RFP (Request for Proposal) either related to local Canadian contexts or for healthcare related projects in developing nations.
You will learn to:
- find sources of RFP postings for healthcare-related projects;
- triage the opportunities based on feasibility, expertise, scope, and funding; and
- structure projects that respond to a specific RFP.
Learning outcomes
At the end of this module you will be able to:
- Demonstrate the ability to search for, evaluate, and synthesize information from secondary and primary sources about a specific healthcare domain or challenge
- Prioritize and summarize complex issues to identify root challenges or unmet needs
- Understand how to prepare a bid for a formal Request for Proposal (RFP)
- Demonstrate the ability to present and disseminate knowledge to target audiences.
Instructors
Enrollment
- Students are required to complete eight modules (0.25 FCE each) spread out within 2 years of study.
- Students may enroll in modular courses using ACORN.
- The modular schedule will be emailed to students prior to the start of each semester.
- Modules offered outside of the program are also permitted such as ones offered by the Institute of Medical Science (IMS).
LMP2353H Introduction to AI in Healthcare
Healthcare solutions driven by artificial intelligence (AI) such as machine learning, natural language processing, and deep learning aim to improve health outcomes by reshaping clinical care, enhancing operational efficiency, accelerating innovation, and improving diagnostic accuracy.
However, applying these AI systems in healthcare settings remains complex due to cultural, economic, and regulatory considerations. To build sustainable health systems while focusing on patient experience and outcomes, challenges that need to be addressed include data protection and security, algorithmic bias, navigate ethical and governance considerations, digital literacy, organizational change and development, and the role of human expertise in clinical decision making and patient care.
This six-week AI in Healthcare module aims to provide students with an overview of contemporary issues related to the current and emerging AI technologies in health. It also introduces students to frameworks for examining the relationships between technology, law, and society from a rights-based lens.
Learning Outcomes:
This course is designed so that by the end of the course, students will be able to:
- Identify the basic nomenclature and concepts around data, digital technologies and healthcare
- Develop understanding of the AI applications adopted across the healthcare value chain
- Demonstrate knowledge of regulations, policies and ethical guidelines related to AI in healthcare - what can be regulated, what remains a challenge, and risk mitigation
- Apply best practices of AI applications to promote fair and equitable healthcare solutions
- Effectively communicate their ideas on issues associated with AI and health both orally and in writing
- Business models and strategies to realize the measurable value of AI at scale
Through case studies, guest speakers, and an interactive design sprint, this course will equip you to both critique existing AI in healthcare solutions and co-create tomorrow’s responsible, impactful solutions.
Enrollment
- Students are required to complete eight modules (0.25FCE each) spread out within 2 years of study.
- Students may enroll in modular courses using ACORN.
- The modular schedule will be emailed to students prior to the start of each semester.
- Modules offered outside of the program are also permitted such as ones offered by the Institute of Medical Science (IMS).
LMP2391H: Healthcare Policy and Innovation
In this module, you will engage in a series of structured activities designed to culminate in a comprehensive final report that identifies a significant healthcare gap and proposes a necessary policy framework to address it. Throughout this process, you will gain valuable skills in identifying healthcare problems, developing policy solutions, and implementing effective strategies.
Learning Outcomes:
- Identify Healthcare Gaps: You will learn how to conduct a thorough analysis of current healthcare systems to identify gaps or inefficiencies that impact patient care and outcomes.
- Research and Data Analysis: Utilize evidence-based research and data analysis techniques to support your findings and recommendations, ensuring that your proposed solutions are grounded in factual information.
- Develop Policy Frameworks: Gain expertise in crafting policy frameworks that are practical, sustainable, and aligned with stakeholders' needs, including healthcare providers, patients, and policymakers.
- Solution Implementation: Understand the intricacies of implementing policy solutions, including potential challenges and strategies for overcoming them.
Enrollment
- Students are required to complete eight modules (0.25 FCE each) spread out within 2 years of study.
- Students may enroll in modular courses using ACORN.
- The modular schedule will be emailed to students prior to the start of each semester.
- Modules offered outside the program are also permitted such as ones offered by the Institute of Medical Science (IMS).