Master of Engineering (MEng) in Electrical and Computer Engineering

The program information below was valid for the fall 2019 term (September 1, 2019 - December 31, 2019). This is the archived version; the most up-to-date program information is available through the current Graduate Studies Academic Calendar.

The Graduate Studies Academic Calendar is updated 3 times per year, at the start of each academic term (January 1, May 1, September 1). Graduate Studies Academic Calendars from previous terms can be found in the archives.

• Admit term(s) 
  • Fall
  • Winter
  • Spring
• Delivery mode 
  • On-campus
• Length of program 
  • The minimum period of full-time registration for the program is three terms and the maximum allowable time is six terms of active registration. For part-time students, the minimum period of registration for the program is six terms and the maximum allowable time is fifteen consecutive terms.
• Program type 
  • Master's
  • Professional
• Registration option(s) 
  • Full-time
  • Part-time
• Study option(s) 
  • Coursework

• Minimum requirements 
  • The Department of Electrical and Computer Engineering requires either (i) a 75% overall standing in the last two years, or equivalent, in a relevant four-year Honours Bachelor's degree or equivalent or (ii) a 75% overall standing or equivalent, in a relevant four-year Honours Bachelor's degree or equivalent, as the minimum requirement for admission to a Master's program for applicants educated at a Canadian institution. A 75% overall standing or equivalent, in a relevant four-year Honours Bachelor's degree or equivalent is the minimum requirement for admission to a Master's program for applicants educated outside of Canada.
• Application materials 
  • Résumé
  • Supplementary information form
  • Transcript(s)
• References 
  • Number of references:  2
  • Type of references: 

    at least 1 academic

• English language proficiency (ELP) (if applicable)

Coursework option:

Graduate Academic Integrity Module (Graduate AIM)

Courses 

• Students must successfully complete 8 one-term courses (0.50 unit weight) acceptable for credit by the Department.
• Students may register for any ECE course at the 600 or 700 levels.
• A minimum of 5 courses must be taken from within the ECE Department. A maximum of 3 courses may be taken from outside the Department but must be from the faculties of Engineering, Math and Science.
• A minimum grade of 65% in each of the 8 courses and a minimum cumulative average of 70% are required to remain in the program.
• Students wishing to complete a Graduate Specialization as part of their MEng program should consult the list of required courses for each Graduate Specialization before selecting courses.

• Students in the MEng in Electrical and Computer Engineering program may choose to pursue one of the following Graduate Specializations:

  1. Artificial Intelligence and Machine Learning
  2. Computer Networking and Security
  3. Nanoelectronic Circuits and Systems
  4. Sustainable Energy

• A Graduate Specialization is a University credential that is recognized on the student’s transcript but not on the diploma and is intended to reflect that a student has successfully completed a set of courses that together provide an in-depth study in the area of the Graduate Specialization. A student will only obtain the Graduate Specialization on their transcript if they have completed the requirements associated with the MEng degree and the requirements associated with the Graduate Specialization.

• All MEng Graduate Specializations in Electrical and Computer Engineering consist of a set of at least 5 graduate (0.50 weight) level courses and this set is comprised of a mix of compulsory and elective courses. Compulsory courses are those that are prescribed as part of the Graduate Specialization. Elective courses are those that are on a list of courses designated as electives for a given Graduate Specialization. The requirements for each of the Graduate Specializations are described below.

1. Graduate Specialization in Artificial Intelligence and Machine Learning

• To receive the Graduate Specialization in Artificial Intelligence and Machine Learning, students must successfully complete 2 compulsory courses and 3 elective courses:
  • Compulsory courses:
    • ECE 657 Tools of Intelligent Systems Design
    • ECE 657A Data and Knowledge Modelling and Analysis
  • Elective courses  (choose 3 from the following list):
    • ECE 602 Introduction to Optimization
    • ECE 603 Statistical Signal Processing
    • ECE 606 Algorithm Design and Analysis
    • ECE 607 Fundamentals of Ultrasonics
    • ECE 613 Image Processing and Visual Communication
    • ECE 659 Intelligent Sensors and Sensor Networks
    • ECE 700 Topic-7 Game Theory with Engineering Applications
    • ECE 750 Topic-33 Artificial Life: Biology and Computation
    • ECE 750 Topic-34 Artificial Life: Embodied Intelligence
    • ECE 750 Topic-35 Applied Topics in Artificial Intelligence
    • MSCI 718 Statistical Methods for Data Analytics

2. Graduate Specialization in Computer Networking and Security

• To receive the Graduate Specialization in Computer Networking and Security, students must successfully complete 3 compulsory courses and 2 elective courses:
  • Compulsory courses:
    • ECE 610 Broadband Communication Networks
    • ECE 628 Computer Network Security
    • ECE 655 Protocols, Software, and Issues in Mobile Systems
  • Elective courses (choose 2 from the following list):
    • ECE 606 Algorithm Design and Analysis
    • ECE 611 Digital Communications
    • ECE 612 Information Theory
    • ECE 656 Database Systems
    • ECE 657 Tools of Intelligent Systems Design
    • ECE 659 Intelligent Sensors & Wireless Sensor Network
    • ECE 715 Wireless Communication Networks
    • ECE 716 Communication Security

3. Graduate Specialization in Nanoelectronic Circuits and Systems

• To receive the Graduate Specialization in Nanoelectronic Circuits and Systems students, must successfully complete 1 compulsory project course (1.0 unit), and 5 elective courses:
  • Compulsory course:
    • ECE 740 Topic-5 Nanoelectronic Circuits and Systems Project (1.0 unit)
  • Elective courses Set-A (choose 2 from the following list):
    • ECE 621 Computer Organization
    • ECE 627 Register-transfer-level Digital Systems
    • ECE 630 Physics & Models Semiconductor Devices
    • ECE 631 Microelectronic Processing Technology
    • ECE 636 Advanced Analog Integrated Circuits
    • ECE 637 Digital Integrated Circuits
    • ECE 642 Radio Frequency IC Design
    • ECE 671 Microwave & RF Engineering
  • Elective courses Set-B (choose 3 from the following list or from Set-A):
    • ECE 606 Algorithm Design and Analysis
    • ECE 638 CMOS Sensor Integrated Circuits
    • ECE 730 Topic-9 VLSI Quality, Reliability and Yield Engineering
    • ECE 730 Topic-16 Semiconductor Memories
    • ECE 730 Topic-30 Advanced VLSI Devices
    • ECE 738 VLSI Circuits for Wireless Communication
    • ECE 740 Topic-3 CMOS Data Converters
    • ECE 770 Topic-22 Wireless Radio Systems

4. Graduate Specialization in Sustainable Energy

• To receive the Graduate Specialization in Sustainable Energy, students must successfully complete 2 compulsory courses and 3 elective courses:
  • Compulsory courses:
    • ECE 663 Energy Processing
    • ECE 760 Topic-10 Operation and Control of Future Integrated Energy Systems
  • Elective courses (choose 3 from the following list): Note: not all elective courses may be offered each year.
    • ECE 661 HVDC and FACTS
    • ECE 662 Power System Analysis and Control
    • ECE 664 Power System Components and Modelling
    • ECE 665 High Voltage Engineering Applications
    • ECE 666 Power Systems Operation
    • ECE 667 Sustainable Distributed Power Generation
    • ECE 668 Distribution System Engineering
    • ECE 669 Dielectric Materials
    • ECE 768 Power System Quality
    • ECE 765 Power System Protection and Relaying

Link(s) to courses

• Electrical and Computer Engineering (ECE) courses