AI Masters Programs in Ontario

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 (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 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 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 Financial Innovation & Technology

The Master of Financial Innovation & Technology (MFIT) 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.

The 12-month program offers flexibility to study while working, with evening and weekend classes held at Smith Toronto, our dedicated downtown Toronto facility, ensuring convenient access to both learning and networking opportunities.

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 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 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 Health Policy, Management and Evaluation, Emphasis in Health Systems AI

Program description coming soon

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 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 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.

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 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 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 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.