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important

Note: ´ó·¢²ÊƱƽ̨’s new Course Catalogue will replace the eCalendar. The Course Catalogue is expected to go live the week of April 22nd. When the new site is published, "mcgill.ca/study" will be redirected to the new Course Catalogue website.

Course information on this site is not reflective of offerings for the 2025–2026 academic year. Some irregularities may occur as we move operations to the incoming Course Catalogue.

Electrical and Computer Engineering

Electrical and Computer Engineering

Location

Location

  • Department of Electrical and Computer Engineering
  • McConnell Engineering Building, Room 602
  • 3480 University Street
  • Montreal QC H3A 0E9
  • Telephone: 514-398-7344 or 514-398-1406
  • Email: grad.ece [at] mcgill.ca
  • Website: mcgill.ca/ece

About Electrical and Computer Engineering

About Electrical and Computer Engineering

The Department offers programs of graduate studies leading to a degree of Master of Science (thesis), Master of Engineering (non-thesis/course-based), or Doctor of Philosophy.

The research interests and facilities of the Department are very extensive, involving more than 45 faculty members and 350 postgraduate students. The major activities are divided into the following groups:

  • Bioelectrical Engineering
  • Telecommunications and Signal Processing
  • Systems and Control
  • Integrated Circuits and Systems
  • Nano-Electronic Devices and Materials
  • Photonic Systems
  • Computational Electromagnetics
  • Power Engineering
  • Intelligent Systems
  • Software Engineering

The Department is equipped with state-of-the-art experimental laboratories and there are numerous multidisciplinary research projects, so students are provided with an ideal environment to develop new technologies, discover novel phenomena, and design revolutionary devices.

Research Facilities

The Department has extensive laboratory facilities for all its main research areas. In addition, ´ó·¢²ÊƱƽ̨ often collaborates with other institutions for teaching and research.

  • The Centre for Intelligent Machines (CIM) is an interdisciplinary research group focussed on intelligent systems. Its laboratories include research in the domains of robotics, systems and control, computer vision, medical imaging, computer graphics, and machine learning.
  • Telecommunications laboratories focus their work on signal proces