Â鶹AV

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, Â鶹AV 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 processing, broadband communications, and networking; these laboratories form part of the (STARaCOM), a Â鶹AV Research Centre devoted to fostering innovation in the area of communications systems and technologies via advanced research and training of highly qualified personnel.
  • The (iML) supports research in FPGAs, MEMS, micro- and nano-systems, VLSI architectures for digital communications and signal processing, mixed signal, RF, and microwave integrated circuits and components, simulation of integrated circuits and microsystems, integrated antennas, design for testability, reconfigurable computing, high-speed circuits, and packaging.
  • Antenna and microwave research, and optical fibre and integrated optics research are carried out in a fully equipped facility.
  • The Group includes experimental laboratories with high-speed test and measurement equipment and optoelectronics; tunable, high power, and pulsed lasers; extensive optics and optomechanics supporting research in telecommunications for advance probing stations; signal processing, nonlinear optics, RF photonics, optical processors for computing and AI, and biosensing.
  • Molecular beam epitaxy infrastructure. This infrastructure can grow wafer-scale group-III nitride epilayers and nanostructures for both photonic/optoelectronic and electronic devices.
  • The provides tools for numerical analysis, visualization, interface design, and knowledge-based system development.
  • For the microwave characterization research, one section of the laboratory hosts dielectric measurement probe in for the low- to high-gigahertz range.
  • Additionally, access to a complete range of commercial multi-physics simulation, design, and optimization software is available. The Power Engineering lab also has experimental facilities for the characterization of magnetic and small dynamometer for electrical machine measurements.
  • There is also a well-equipped laboratory for power electronics and power systems research ().
  • Computing infrastructure for software engineering research is also available.

The Department has extensive computer facilities. Most research machines are networked, providing access to a vast array of hardware and software. In addition, Â鶹AV is linked to the (CRIM) and the University Computing Centre.

There are several other universities in Montreal offering graduate-level engineering degrees: Concordia University; l’Université de Montréal and its affiliated school of engineering; Polytechnique Montréal; l’Université du Québec, which includes l'École de technologies supérieure (ETS); and l'Institut national de la recherche scientifique (INRS).

The proximity of these schools to Â鶹AV ensures that a rich array of courses is available to suit individual needs. Â鶹AV also collaborates on research projects with many organizations such as (IREQ) and (INRS).

Financial Support

Graduate Assistantship: The Department awards several graduate assistantship to qualified full-time graduate students. These are normally funded from research grants or contracts awarded to individual faculty members. In return, the graduate assistant is expected to perform research-related tasks assigned by the professor from whose grant the assistantship is paid. A good part, but not necessarily all, of this work can be used for preparing a thesis. There is no special application form for graduate assistantship; all applicants who indicate a need for support on their application forms will be considered.

Teaching Assistantship: Graduate students, with the approval of their supervisors, may also undertake teaching assistantship for additional remuneration. These are awarded at the beginning of the term. The Department can make no prior commitments.

Graduate students can also receive financial aid through fellowships, loans, or bursaries. For more information, please refer to mcgill.ca/gps/funding, or contact:

  • Graduate and Postdoctoral Studies, Â鶹AV
  • James Administration Building, Room 400
  • 845 Sherbrooke Street West
  • Montreal QC H3A 0G4
  • Website: mcgill.ca/gps/contact/gps
Master of Science (M.Sc.) Electrical Engineering (Thesis) (45 credits)

The Master of Science in Electrical Engineering (Thesis) is research-oriented and is expected to involve a thorough examination of a topic of current interest in the research area within the Department. Undertaking this program at Â鶹AV provides students with an opportunity to conduct intensive research under the supervision of researchers who are leaders in their field. The program is an ideal preparation for a Ph.D. degree or an industrial research career.

Master of Engineering (M.Eng.) Electrical Engineering (Non-Thesis) (45 credits)

The Master of Engineering degree (project option) involves graduate-level courses and an internally examined research project. The program is oriented more toward professional development than the thesis option. The project is of significantly less scope than a thesis, and includes options such as a technical review, a design project, or a small-scale research project. Students are provided with a very solid background in electrical and computer engineering, both in terms of breadth across the entire field and depth in the area of specialty. Graduates frequently pursue careers in research and development. A part-time program is possible.

Master of Engineering (M.Eng.) Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (45 credits)
Ìý
Doctor of Philosophy (Ph.D.) Electrical Engineering

The Ph.D. degree recognizes a significant novel research contribution that is described in an externally examined thesis. Students who are admitted to this program normally have a master's degree. Research is conducted under the supervision of a faculty member. The Department provides an excellent environment for conducting research, with supervision by internationally renowned researchers and access to state-of-the-art experimental facilities. Graduates from the program most commonly pursue research and teaching careers in academia or research careers in industrial labs.

Programs, Courses and University Regulations—2024-2025 (last updated Aug. 21, 2024) (disclaimer)

Electrical and Computer Engineering Admission Requirements and Application Procedures

Electrical and Computer Engineering Admission Requirements and Application Procedures

Admission Requirements

Admission Requirements

English Proficiency Requirement: Applicants to graduate studies whose mother tongue is not English, and who have not completed an undergraduate or graduate degree from a recognized foreign institution where English is the language of instruction or from a recognized Canadian institution (anglophone or francophone), must submit documented proof of competency in English. Accepted English language tests and minimum test score requirements can be found on our website. Official results must be received before the application deadlines.

GRE: Submission of (General Aptitude Test) scores is not mandatory. Applicants who have written the GRE are welcome to submit their scores for consideration.

Master's Degree Admission Requirements

The applicant must be the graduate of a recognized university and hold a bachelor's degree or its equivalent, as determined by Â鶹AV, in Electrical, Computer, or Software Engineering or a closely related field. An applicant holding a degree in another field of engineering or science will be considered but a Qualifying year may be required to make up any deficiencies. The applicant must have a high academic achievement: a standing equivalent to a cumulative grade point average (CGPA) of 3.0 out of 4.0, or a GPA of 3.2 out of 4.0 for the last two full-time academic years or equivalent. Satisfaction of these general requirements does not guarantee admission. Admission to graduate studies is limited and acceptance is highly competitive.

Ph.D. Degree Admission Requirements

In addition to satisfying the requirements for the Master's program, candidates must hold a suitable master's degree from a recognized university. The applicant must have a high academic achievement: a standing equivalent to a cumulative grade point average (CGPA) of 3.0 out of 4.0. Satisfaction of these general requirements does not guarantee admission. Admission to graduate studies is limited and acceptance is highly competitive.

Application Procedures

Application Procedures

Â鶹AV’s online application form for graduate program candidates is available at mcgill.ca/gradapplicants/apply.

See University Regulations & Resources > Graduate > Graduate Â鶹AV and Application Procedures > Application Procedures for detailed application procedures.

The Department accepts most of its graduate students for September; the chance of acceptance for January is significantly lower.

Additional Requirements

Additional Requirements

The items and clarifications below are additional requirements set by this department:

Application Dates and Deadlines

Application Dates and Deadlines

Application opening dates are set by Enrolment Services in consultation with Graduate and Postdoctoral Studies (GPS), while application deadlines are set by the Department of Electrical and Computer Engineering and may be revised at any time. Applicants must verify all deadlines and documentation requirements well in advance on the appropriate Â鶹AV departmental website; please consult the list at mcgill.ca/gps/contact/graduate-program.

Ìý Application Opening Dates Application Deadlines
Ìý All Applicants Non-Canadian citizens (Incl. Special, Visiting, and Exchange) Canadian Citizens/Perm. Residents of Canada (Incl. Special, Visiting, and Exchange) Current Â鶹AV Students (Any Citizenship)
Fall Term: Sept. 15 Dec. 15 Dec. 15 Dec. 15
Winter Term: Feb. 15 Aug. 1 Oct. 15* Oct. 15*
Summer Term: N/A N/A N/A N/A

*All applicants (domestic or international) who wish to be considered for Faculty of Engineering awards must apply by August 1.

All supporting documents must be uploaded to the online application system by the application deadlines.

Programs, Courses and University Regulations—2024-2025 (last updated Mar. 15, 2024) (disclaimer)

Master of Science (M.Sc.) Electrical Engineering (Thesis) (45 credits)

The Master of Science in Electrical Engineering (Thesis) is research oriented and the thesis is expected to involve a thorough examination of a topic of current interest in the research area within the Department. Undertaking this program at Â鶹AV provides students with an opportunity to conduct intensive research under the supervision of researchers...

For more information, see Master of Science (M.Sc.) Electrical Engineering (Thesis) (45 credits).

Master of Engineering (M.Eng.) Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (45 credits)

The Master of Engineering in Electrical Engineering; Non-Thesis - Applied Artificial Intelligence is a professional program of 45 credits. The program provides the foundation for applications of Artificial Intelligence (AI) techniques and experience building an AI system in various fields of interest. The program may be completed on a part-time basis.

For more information, see Master of Engineering (M.Eng.) Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (45 credits).

Master of Engineering (M.Eng.) Electrical Engineering (Non-Thesis) (45 credits)

The Master of Engineering in Electrical Engineering; Non-Thesis program is a professional course-based program of 45 credits. The program provides a solid background in electrical and computer engineering, both in terms of breadth across the entire field and depth in the area of specialty. The program structure allows students to complete the program in three...

For more information, see Master of Engineering (M.Eng.) Electrical Engineering (Non-Thesis) (45 credits).

Doctor of Philosophy (Ph.D.) Electrical Engineering

Faculty of Engineering—2024-2025 (last updated Aug. 21, 2024) (disclaimer)
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