Electrical and Computer Engineering (MEng)
Program overview
The Master of Engineering in Electrical and Computer Engineering is a course-based program designed to enhance the knowledge, design skills and presentation abilities of practicing engineers. This program combines practical course work with the option to complete one or more projects. Students who want the option to continue on to a PhD should enrol in the MASc program instead of the MEng program.
Admission requirements
Proficiency in English
Proficiency in English. Applicants whose primary language is not English must demonstrate that their knowledge of English is sufficient to pursue graduate studies in their chosen field. Please refer to the English language proficiency page for further information on requirements and exemptions.
Application process
Application deadlines
All applicants: Canadian / International / Permanent Resident

FALL
February 1 (all applicants)

WINTER
July 1 (all applicants)

SUMMER
n/a
Priority will be given to complete applications submitted by the deadline. In some cases, programs may continue to accept applications as long as there is space available.
International students: Considering the waiting period involved in meeting the entry requirements to Canada and Quebec, we strongly encourage international applicants to apply early and submit supporting documents prior to the deadline.
Tuition & funding
Tuition fees
The tuition fees of the program may differ depending on your student status. To estimate the cost of your education at Concordia, go through five (5) easy steps.
Awards and funding
Funding packages are generally available for students in thesis-based programs. Course-based students are eligible for a number of donor awards, and may consult with their department for program-specific opportunities.
Other programs of interest
- Thesis

Conduct your electrical and computer engineering research in established research centres and laboratories for telecommunications, signal processing, systems controls and robotics, power systems and renewable energy.
Department
Department of Electrical and Computer Engineering
Faculty