Master of Applied Science with Field of Study in Artificial Intelligence
Kingston, Canada
Master degree
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2025
STUDY FORMAT
On-Campus
Key Summary
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 competencies 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 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 program structure for the MASc program with a Field of Study in Artificial Intelligence is as follows:
- Take a minimum of two courses from the list of AI-related courses, one of which is the mandatory graduate course ELEC 825;
- Take up to two more graduate courses as required in the MASc program;
- Complete an AI-related MASc thesis;
- Complete other requirements including taking the graduate seminar course, ELEC 891, and the non-credit APSC 812 AI Ethics and Society course.
List of AI-related courses:
- Signal Processing
- Machine Learning and Deep Learning
- Artificial Intelligence and Interactive Systems
- Deep Learning in Computer Vision
- AI for Cybersecurity
- Wearable and loT Computing
- Machine Learning for Natural Language Processing
Other related courses offered by core ECE and cross-appointed Faculty include ELEC 845 Autonomous Vehicle Control and Navigation, ELEC 474 Machine Vision, CISC 881 Machine Learning and Medical Image Processing, and EE 523 Integrated Navigation Systems (RMC).