Master of Professional Studies in Applied AI

Program Description and Accreditation

This institution has been granted a consent by the Minister of Colleges, Universities, Research, Excellence and Security to offer this program for a five-year term starting February 26, 2026. Prospective students are responsible for satisfying themselves that the program and the degree will be appropriate to their needs (e.g., acceptable to potential employers, professional licensing bodies, or other educational institutions).

Tuition

Domestic: $33.4K CAD

International: $44.7K CAD

The domestic tuition price is inclusive of a scholarship of up to 25% for all domestic students beginning their graduate studies in the 2026 academic year. Domestic Canadian students with a GPA of 3.5 or higher from their previous institutions are eligible to receive up to 50%. This scholarship is not transferable to alternative programs of study, terms or campuses outside of Toronto, ON.

This is an estimate based on the tuition rates for Academic Year 2025–2026 and does not include any fees or other expenses. Some courses and labs have tuition rates that may increase or decrease total tuition. Tuition and fees are subject to revision by the president and Board of Trustees at any time. Find detailed information on tuition and fees from Student Financial Services.

Program Description

The MPS Applied AI program is forward-thinking, aiming to prepare students proactively and thoughtfully for the evolving technology landscape and its challenges. The curriculum focuses on building and implementing AI and machine learning (ML) technologies, with specializations in conversational AI, machine learning for cybersecurity, 3D imaging, and a range of electives. This comprehensive approach ensures that students are equipped with the skills and knowledge needed to stay ahead in the rapidly changing field of AI. The curricula framework adopts a multidisciplinary approach to problem-solving by combining computer science and analytical skills with functional government and industry expertise, creativity, and leadership.

Concentrations:

Conversational AI and Chatbots: Blending linguistics, tech, and design, they enhance user experiences and business operations. The field offers vast research, especially in Natural Language Processing, and emphasizes ethical AI practices. As industries adopt AI, expertise here opens diverse career avenues, from global enterprises to local businesses.

Machine Learning for Cybersecurity: Machine Learning (ML) enhances cybersecurity by detecting threats, automating responses, and scaling operations. ML spots sophisticated threats in vast datasets, streamlines responses, and predicts future risks. Its adaptive learning surpasses traditional systems, reduces false positives, and can be customized for organizations. As cyber threats evolve, ML’s role in defense and job relevance grows, offering novel research opportunities and countering advanced threats. ML is vital for the future of cybersecurity.

AI for 3D Imaging: Offers improved accuracy, faster workflows, and clarity in fields such as healthcare and entertainment. It aids in data augmentation, real-time analysis, image segmentation, noise reduction, and cost efficiency. Its application in design predicts real-world impacts, and as industries adopt it, expertise becomes vital, driving innovations in gaming, film, and Virtual Reality.