Master of Applied Science in Artificial Intelligence

Queen's University

Advancement in computing technology and the availability of big data has led to a resurgence of research in artificial intelligence (AI), machine learning and deep learning. AI is pushing the innovation boundaries across all disciplines, and industry has been investing heavily in various AI technologies. There is a high demand for graduates with an AI background from industry and research labs.The Department of Electrical and Computer Engineering (ECE) has substantial expertise in AI-related methodologies and application areas. We prepare our MASc in AI graduates with area-specific knowledge, skills, and competencies sought by the AI sector.Master of Applied Science program with a Field of Study in Artificial Intelligence provides 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. They will learn advanced research and technical knowledge in AI-related fields and will have a deep understanding of the ethical and societal implications of AI. The program will prepare graduates through a combination of classroom and online learning, team-based problem-solving and course projects, research seminars, and faculty-supervised research projects. The student learning experience will be promoted through an inquiry-based curriculum. The MASc program with a Field of Study in Artificial Intelligence is recognized by the Vector Institute for Artificial Intelligence as delivering a curriculum that equips its graduates with the skills and competencies sought by industry.