Foster your passion, explore cutting-edge research, and unlock your remarkable potential in Ontario
Ontario, Canada is one of the fastest-growing AI hubs globally, offering a vibrant environment for studying AI. Experience exceptional educational institutions and immerse yourself in a thriving AI ecosystem, that provides limitless opportunities for students passionate about AI.
Why study AI in Ontario?
Ontario’s thriving AI community is a result of years of research excellence and the presence of world-renowned researchers like Geoffrey Hinton. At the heart of this ecosystem is the Vector Institute, a key driver in advancing AI research and education in the province. From large companies to startups and cutting-edge research facilities, Ontario offers a dynamic environment for AI innovation and learning
All stats are from Impact and opportunities: Canada’s AI ecosystem – 2023 a report produced by Deloitte on behalf of CIFAR, Amii, Mila and the Vector Institute
“I chose to study AI in general because it is such a fast growing and interesting field. I’ve chosen to do it Ontario for two main reasons, the first being that my family is located here and I value being close to them. And the second is that Canada is a world leader in AI talent concentration, right now it seems like Canada, or Ontario, is the place to be if you want to pursue a career in AI.”
Darren Singh
Vector Scholarship in AI recipient | MMAI at York University
The Vector Institute: powering Ontario’s AI future
Established in 2017, the Vector Institute stands at the forefront of artificial intelligence innovation in Ontario. As a collaborative hub connecting academia, industry, and government, Vector drives cutting-edge AI research and education across the province.
Our community of over 860 researchers, including 46 distinguished Faculty Members, is committed to advancing AI technology and its real-world applications. Through partnerships with 14 Ontario universities, Vector recognizes 28 AI-focused master’s programs, ensuring that the next generation of AI professionals is equipped with the most in-demand skills.
Vector’s dedication to nurturing AI talent extends beyond the classroom. Our initiatives, including scholarships, internships, and our Digital Talent Hub, create pathways for students to transition into Ontario’s thriving AI industry. By fostering this vibrant AI ecosystem, Vector is cementing Ontario’s position as a global leader in artificial intelligence
Vector Recognized AI Master’s Programs
Carleton University
University of Guelph
Lakehead University
Rotman School of Management – University of Toronto
University of Toronto
Smith School of Business – Queen’s University
Queen’s University
Ontario Tech University
University of Waterloo
University of Ottawa
Lazardis School of Business – Wilfrid Laurier University
Schulich School of Business
York University
Toronto Metropolitan University
Western University
University of Windsor
Master’s in Data Science, Analytics, and AI
Carleton University offers a suite of thesis-based, project-based, and course-based master’s programs in Data Science, Analytics, and AI. The DSAAI programs are hosted by the School of Computer Science, the School of Information Technology, the School of Mathematics and Statistics, and the Department of Systems and Computer Engineering. Students will work in interdisciplinary teams on hands-on projects to learn both theory and best practice for data science, machine learning, data analytics, and AI. The DSAAI programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods, and software engineering.
Master of Science/Master of Applied Science (collaborative specialization in AI)
The University of Guelph’s Collaborative Specialization in Artificial Intelligence (AI) provides thesis-based master’s students in Computer Science, Engineering, Mathematics and Statistics, and Bioinformatics with a diverse and comprehensive knowledge base in AI.
By the end of this program, graduates will have comprehensive understanding of leading-edge AI techniques and will be able to apply this knowledge to solve real-world problems. Graduates will find employment opportunities in government and private industry, filling in-demand jobs such as machine learning research scientists, consultants, data scientists, and software engineers.
Master of Data Science
The University of Guelph’s Master of Data Science (MDS) is a one-year, course-based program that runs September to August. The MDS program trains individuals to become computationally-skilled and ethically-minded data analysts with strong communications skills.
Students will be expected to design, implement, visualize and present their data analyses—which address complex problems relevant to industry partners—to a diverse audience. Finally, the hands-on delivery format and built-in experiential learning opportunities will foster the development of soft skills, such as communication and problem solving, that are critical for graduates to successfully transition into the workforce.
Master of Science (Computer Science – AI)
The Department of Computer Science is offering a two-year, thesis-based Master of Science in Computer Science (MSc) program with a specialization in Artificial Intelligence (AI).Students will develop the skills and knowledge to conduct research in the field of Computer Science with a focus on core AI techniques. Upon completion, students will be able to apply and select appropriate AI algorithms and techniques in a variety of industrial sectors and further advance the AI related research. Topics will include natural language processing, deep learning, machine learning, image processing, pattern recognition and other emerging technologies. Finally, students will develop research and application based ethical awareness.
Master of Management Analytics
The Rotman Master of Management Analytics (MMA) is a nine-month, full-time program running from August to April. The program is focused on teaching the applications of advanced analytics, AI, and machine learning to provide data-driven insights on complex managerial problems.
Master of Health Informatics
The Master of Health Informatics (MHI) is a professional program enabling graduates to harness the potential of data and knowledge for the better management of health and care. Set within University of Toronto’s Dalla Lana School of Public Health, and the Institute of Health Policy, Management and Evaluation, MHI exists within a vibrant, interdisciplinary culture. Taught by health sector leaders, MHI focuses on upstream development of the healthcare complement in areas of policy, management and evaluation to prepare students to lead AI-based change.
Master of Science in Health Policy, Management and Evaluation, Emphasis in Health Systems AI
Program description coming soon
Master of Management in Artificial Intelligence
Harnessing AI’s potential for competitive performance requires a new type of professional: one who not only understands the capacity of the science but has the expertise to apply it to organizational needs and strategies, and who can navigate the ethical, economic and societal implications. The Master of Management in Artificial Intelligence will provide:
- A strong understanding of the technical principles of AI and modern methods for data search and retrieval, and how to practically apply them to real world problems
- Command of best practices in identifying opportunities for and applying AI;
- Expertise in the business practices required to effectively use AI and machine learning;
- Awareness and engagement in the ethical, economic, and societal impacts of computers exhibiting intelligent behavior;
- Enhancement of skills for communicating complex problems and AI solutions to wide audiences in an organization; and
- Training in creating and maintaining high performance work teams.
Master of Financial Innovation & Technology
The Master of Financial Innovation & Technology provides a solution to the fast-growing need in the financial sector for leaders with a solid understanding of finance, data science and machine learning. The program will equip students with a unique combination of skills consisting of a deep understanding of financial models, data and technology. Take this 14-month program while working, with evening and weekend classes based at Smith Toronto, a dedicated learning facility in downtown Toronto.
Master of Science (Computer Science, AI)
The Queen’s School of Computing offers a Field of Study in AI that prepares students for AI-related work in leading technology firms, healthcare companies, automobile manufacturers, and research labs.
Master of Applied Science (Electrical and Computer Engineering, Field of Study in AI
The Department of Electrical and Computer Engineering at Queen’s offers a unique Master of Applied Science program with a Field of Study in Artificial Intelligence (AI) that provides the graduate students with a solid foundation in the principles of AI, machine learning and deep learning. Graduates will be able to design and analyze AI-related algorithms and methodologies, employ modern scientific and engineering tools, and apply AI-based techniques to tackle complex research problems.
Master of IT Security (Artificial Intelligence Security)
Ontario Tech University offers a specialized field within its Master of IT Security program with a focus on Applications of Artificial Intelligence in IT Security (MITS-AIS).
Graduates of this program can seek employment in the growing artificial intelligence industry, public and private organizations, as well as IT security firms.
Master of Business Analytics and Artificial Intelligence
The Master of Business Analytics and AI (MBAI) prepares students for highly successful careers both in the private and public sector where data is used to make decisions. The MBAI is a market-driven degree in an in-demand field at the intersection of technology and business. As a student in this program, you will be equipped with the skills, knowledge and networks needed to succeed in today’s workplace as well as the ability to adapt to the ever-evolving workplace of the future. You will be able to develop your strengths in digital economy, data analytics and artificial intelligence, all while building community and expanding connections with reputable industry partners.
Master of Data Science and Artificial Intelligence
Students in the Master of Data Science and Artificial Intelligence at Waterloo receive an in-depth education in the theory and practice of machine learning and computational analysis of massive data sets plus industrial experience. Offered jointly by three departments (Computer Science, Statistics and Actuarial Science, and Combinatorics & Optimization), available courses cover robust and efficient storage systems of massive data, effective statistical data exploration, and algorithms for discovering hidden structures. The program typically requires three terms on campus (to complete nine courses) and one term in an industrial co-op placement, for a total of 16 months. Waterloo’s mature and extensive co-operative education system and industrial ties give students opportunities to work at top data science and AI companies in North America. Entering students should have a bachelor’s degree in computer science, statistics, data science, or a related mathematical field. Background courses are available during the first term for students missing an aspect of the prerequisites.
Master of Mathematics in Data Science
Students in the Master of Mathematics in Data Science program at Waterloo work at the forefront of modern research in topics related to data science, encompassing statistics, computer science, and optimization. Degree requirements include the completion of four graduate courses and the writing of a Master’s thesis under the supervision of a leading expert from one of three departments (Computer Science, Statistics and Actuarial Science, and Combinatorics & Optimization) that participate in the program. The program requires 4-6 terms, i.e., up to two calendar years. The course requirements include data exploration, distributed computing with data, machine learning and optimization, and a fourth elective course. Students in this program receive financial support composed of research and teaching assistantships and scholarships. Entering students should have a bachelor’s degree in computer science, statistics, data science, or a related mathematical field. Background courses (not counting toward the degree) are available for students missing an aspect of the prerequisites.
Master of Computer Science (Applied AI)
The applied artificial intelligence (AI) concentration within the existing Master of Computer Science program at uOttawa encompasses both the foundations and applications of machine learning. This unique program emphasizes the application of machine learning and AI to solve problems in areas such as health care, medicine, education, manufacturing and cyberspace.
Master of Applied Science (MASc) in Electrical and Computer Engineering and Master of Engineering (M.Eng) in Electrical and Computer Engineering — Applied Artificial Intelligence Concentration
The objective of this program is to graduate highly qualified electrical and computer engineers who not only are highly skilled in AI theory, but are also equipped with the desired skills to apply their knowledge across multiple domains. To this end, it covers both the fundamental knowledge in machine learning and its applications to the problems in electrical and computer engineering.
Master of Science in Management Analytics
The MSc in Management Analytics (MMA), offered by the Lazaridis School of Business, is a 12-month program targeted at students who have recently completed a STEM or Business undergraduate degree. The program focuses on training analysts and managers who can design, lead, and execute data driven projects across industries in a changing technological landscape. The program is designed to provide students with the knowledge and skills to apply state-of-the-art analytics tools from statistics, machine learning and AI to utilize available data, gain business insights and improve operational and strategic decision making. At the end of this program, graduates will have demonstrated the ability to design and move data analytics projects from conception to application. To achieve these learning objectives the program emphasizes the project development life cycle through case analysis, course projects and a two-term field project, in which groups of students, supported by a faculty supervisor, collaborate with an industry partner to complete a consulting project.
Master of Business Analytics
The Master of Business Analytics (MBAN) offered by the Schulich School of Business is a professional degree program designed to provide students with the breadth and depth of knowledge to be successful in a wide range of careers in areas such as banking, insurance, marketing, consulting, supply chain management, healthcare, and technology.
Master of Management in Artificial Intelligence (Schulich School of Business)
Artificial Intelligence (AI) is undergoing a landmark evolution, transforming the private and public sectors. As organizations adopt and invest in AI technology, a new style of management is needed – one that pairs a leader’s vision with a scientist’s mastery over a growing body of specialized knowledge. The 12-month Master of Management in Artificial Intelligence (MMAI) is designed to meet the growing need for talented professionals with the skills and advanced applied knowledge to develop, evaluate, refine and implement AI-related applications and technologies.
Master of Science (Computer Science, AI)
York University’s Master of Science in Computer Science program with specialization in AI has been strategically designed to provide its graduates with a solid grasp of the computational framework underlying AI methodologies with hands-on experience on how they are applied to diverse computing problems. The core coursework focuses on fundamentals of AI, machine learning theory, data mining, and ethics of AI. A broad range of elective courses that focus on applications of AI in areas such as computer vision, robotics, neural networks & deep learning, natural language processing and data mining & analytics provide students with the ability to tailor their education according to career goals.
Master of Engineering (Electrical, Computer and Biomedical Engineering, AI)
The Department of Electrical, Computer and Biomedical Engineering’s Master of Engineering (MEng) with an AI concentration will provide students at Toronto Metropolitan University with the essential training to be successful professionals in the field of AI. Students will be required to take four core courses: 1) Intelligent Systems, 2) Neural Networks, 3) Deep Learning, and 4) Advanced Data Engineering.
Master of Science in Data Science and Analytics
This unique one-year Master of Science (MSc) degree program enables students to develop interdisciplinary skills and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates are highly trained, qualified data scientists who can pursue careers in industry, government or research.
Master of Data Analytics (Artificial Intelligence)
Western’s Master of Data Analytics in Artificial Intelligence is a one-year professional science master’s program designed to produce technical data analytics professionals skilled in artificial intelligence, machine and deep learning, big data management and analysis infrastructure for unstructured data as well as other foundational areas of analytics, including visualization, databases, data carpentry and statistical modelling and inference, who are also effective communicators with complementary business skills and teamwork experience.
Master of Computer Science and Electrical and Computer Engineering (collaborative specialization artificial intelligence)
Western University’s departments of Computer Science (CS) and Electrical and Computer Engineering (ECE) are jointly offering a collaborative specialization artificial intelligence (CSAI) concentration in existing Master programs in CS and ECE (i.e., MSc, MESc and MEng). CSAI enhances the education and research of a graduate student by adding a module to their program of study.
Collaborative Specialization in Machine Learning in Health and Biomedical Sciences
This collaborative specialization is an interdisciplinary training program that equip students with the expertise to apply modern machine learning approaches to improve human health and well-being. Innovations in health and biomedical science are increasingly driven by large sets of genetic, physiological, imaging, and behavioral data, and the algorithms necessary to analyze them. The program is open to students in a number of graduate programs across the Faculties of Science, Health Sciences, Engineering, and the Schulich School of Dentistry and Medicine.
Master of Science in Computer Science- Artificial Intelligence [with/without Co-Operative Education]
The concentration in Artificial Intelligence is part of the thesis-based program of the Master of Science in Computer Science at the University of Windsor, and has a curriculum that includes a variety of AI and AI-related courses in specialized areas of computing technology, applications, and theory. The program introduces students to advanced topics in AI and AI-related subjects and applications, as well as to new AI technologies that are in high demand for computer professionals in the IT industry. T
“The Health Systems AI program at the University of Toronto, with its focus on integrating AI into healthcare systems, aligns perfectly with my passion and aspirations. It offers a unique opportunity to combine AI expertise with healthcare applications, addressing critical challenges in the field. This program’s emphasis on interdisciplinary collaboration and its connection to a thriving AI ecosystem in Ontario were key factors in my decision to pursue my studies here. I’m eager to continue my journey at the intersection of AI and healthcare, contributing to advancements that can make a real-world impact.”
Pourya Momtaz
Vector Scholarship in AI recipient | MSC Health Systems AI at the University of Toronto
Vector Scholarship in AI Benefits
The Vector Scholarship in AI is a $17,500 entrance scholarship awarded to top students pursuing an AI master’s at an Ontario university.
Scholarship recipients receive support for their education, and become part of the Vector community and get access to:
- Networking & recruitment events
- Professional development opportunities
- Research talks from Vector’s researchers
Meet some of our previous recipients:
Eptehal Nashnoush
2022-23 Vector Scholarship in AI Recipient
“I’m working on developing Machine Learning algorithms to predict inpatient flow in hospital settings.”
Debaditya Shome
2022-23 Vector Scholarship in AI Recipient
“The Vector Scholarship has changed my life, and has significantly impacted my career by funding my studies and research.”
Eptehal Nashnoush
2022-23 Vector Scholarship in AI Recipient
Current: Master of Management Analytics, University of Toronto Rotman School of Management
Undergraduate: B.Eng in Electrical Engineering, Dalhousie University/span>
What are your current interests or areas of interest in AI? My current interests in AI lie in the digital health sphere, particularly AI-enabled wearables in hospital settings. Another area I am investigating is using Electronic Health Records (EHR) to predict patient flow. Currently, I’m working on developing Machine Learning algorithms to predict inpatient flow in hospital settings.
Debaditya Shome
2022-23 Vector Scholarship in AI Recipient
Current: QMASc in Electrical and Computer Engineering, Queen’s University
Previous: B.Tech in Electronics & Telecommunications,Kalinga IIT, India
How has the Vector Scholarship in AI impacted you? The Vector Scholarship has changed my life, and has significantly impacted my career by funding my studies and research. It has also allowed me to grow my network with access to hiring events, AI summits, and job openings through the Vector Digital Talent Hub.
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