Queen's University

Overview

The Electrical and Computer Engineering - Field of Study in Artificial Intelligence MASc at Queen's University is a research-oriented master's program designed for individuals seeking to deepen their knowledge and skills in artificial intelligence and machine learning. Students will explore various aspects of AI, including its ethical and societal implications, through both coursework and supervised research projects.

What you'll study

The MASc program integrates advanced coursework with hands-on research training. Students will engage in required and elective courses, participate in research seminars, and undertake a faculty-supervised research project, culminating in a written thesis.

Typical coursework areas

• Signal Processing

• Machine Learning and Deep Learning

• Artificial Intelligence and Interactive Systems

• Deep Learning for Computer Vision

• AI for Cybersecurity

• Wearable and IoT Computing

• Machine Learning for Natural Language Processing

Research component

• Participation in research seminars to assist in topic development, literature review, and effective research communication.

• Completion of a faculty-supervised research project leading to a thesis, as mandated by the program’s requirements.

Note: Course availability, sequencing, and credit requirements may vary depending on the term and the student's research focus.

Entry requirements

Applicants typically need to meet a minimum GPA requirement, demonstrating a strong academic background in relevant fields. Competency in English is also essential for success in the program.

Career prospects