Queen's University - School of Graduate Studies

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Artificial Intelligence (M.A.Sc.)

Queen's University - School of Graduate Studies

Faculty:Faculty of Engineering and Applied Sciences
Field of Study:Artificial Intelligence and Robotics
Computer Engineering, General
Electrical, Electronics and Communications Engineering
Thesis Based:Yes
Length:2 Year(s)
Cost per year:*
National: $7,186
Careers:Computer and Information Systems ManagersData EngineerComputer Engineers


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 the AI-related methodologies and application areas and is an ideal place for the training of highly-qualified graduates with area-specific knowledge, skills, and competences sought by the AI sector.

The ECE Department offers a Vector Institute Accredited Master of Applied Science program with a Field of Study in Artificial Intelligence 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. They will acquire advanced research and technical knowledge in AI-related fields and will have deep understanding about 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.


Test Scores:
  • Test of English as a Foreign Language (Paper Based) or Test of English as a Foreign Language (Internet Based) or International English Language Testing System (academic or immigration)
Application Notes : If English is not your first language, we require a minimum of 7.0 on IELTS or 80% on MELAB or for TOEFL; 580 (paper based); and 88 (Internet-based) with, a minimum score in each of the components: Writing test 24/30, Speaking test 22/30, Reading test 22/30 and Listening test 20/30.

Please note: We do not take GRE. Please do not request that the official test score be sent to us.
Additional Admission Requirements:
  • Letter(s) of Reference
  • Resume/Curriculum Vitae
  • Statement of Research Interests
Applicants are required to have a Bachelor degree in Engineering or closely related field (e.g. computer science, physics, mathematics), with a minimum cumulative average of 75% from North American Universities, or 80% from other countries.

* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

Modified on September 22, 2022