School of Graduate Studies

School of Graduate Studies
School of Graduate Studies

Electrical & Computer Engineering

ECE collage



"Thanks to Queen's ECE, where my MASc and PhD study paved the way for my rewarding career as a professor. Besides my thesis supervisor, I also collaborated with student and faculty researchers at Queen’s and other universities. I presented my research at companies and government labs to cultivate connections, and I took stints as a visiting researcher at a university and a company in Europe."

Tiago Falk, MASc 2005, PhD 2008.

Program Contact

Ms Debie Fraser
Graduate Assistant
Electrical & Computer Engineering
Walter Light Hall, Room 424

and Cheryl Wright
Walter Light Hall, Room 416C

Phone: 613.533.2179


Program Overview

The Department of Electrical & Computer Engineering (ECE) is home to nationally and internationally recognized researchers. ECE students and faculty interact as a close-knit community in ways not usually found in large departments. Our faculty includes 2 Canada Research Chairs, 1 Queen’s Research Chair and 4 IEEE Fellows. A "medium size" department, Queen's ECE continues its long history of training graduates to become leaders in industry, academia, and governments.

ECE provides graduate students with modern office space and cutting-edge research facilities. ECE is home to many research labs such as Queen's Centre for Energy and Power Electronics Research (ePower) and Lightwave Systems Research Laboratory.



Students in our department avail cross-disciplinary opportunities. We collaborate with the departments of Mathematics & Statistics, Physics, Computing, Mechanical Engineering and the School of Kinesiology and Health Studies. The department is an active participant in the Queen’s collaborative graduate program in Computational Science and Engineering. Our students also have the opportunity to travel worldwide through summer placements and attend conferences..

Career paths – employment opportunities

ECE graduates have found careers:

  • As university professors @, e.g., U Toronto, UBC, Carleton, INRS
  • With high tech companies such as AMD, BlackBerry, Ciena, Cisco Systems, Google, Huawei, IBM, Intel, Infinera, Microsoft, Nokia
  • With startup companies
  • In service sectors such as financials, pension, acturial, intellectual property
Degrees Offered/Method of Completion

Degrees Offered

M.Eng. : 2 academic terms (fall & winter) and a project

M.A.Sc.: 2 years

Ph.D.: 4 years

Method of Completion

M.Eng.: Course work and project

M.A.Sc.: Course work, research thesis

Ph.D.: Course work, research thesis, exam

Fields of Study and Supervisors

We encourage you to identify an area of research interest and contact a potential supervisor before applying.

Communications & Signal Processing

  • Wireless communications and networking
  • 5G and beyond-5G wireless communications
  • Processing of information-bearing signals, e.g., speech, multimedia, biomedical, optical
  • Source & channel coding

Faculty: S.D. Blostein, W.Y. Chan, S. Gazor, I.M. Kim, L. Ning, S. Yousefi 

Computer & Software Engineering

  • Computer-aided design of VLSI systems
  • High-performance clusters
  • Software tools for system-on-chip design and implementation
  • Security testing of network applications
  • Programming language design and implementation
  • Model-driven software development and quality control

Faculty: A. Afsahi, T. Dean, R.E. Grant, N. Manjikian, J. Ni, X. Zhu, Y. Zou

Microelectronics, Electromagnetics and Photonics

  • Integrated circuit design for Gigahertz frequencies
  • Coherent optical fiber communications (OFC), short-reach OFC, digital signal processing
  • High Q micro-resonator for biosensing applications
  • Antennas, filters and applied electromagnetism

Faculty: M.Z. Alam, J.C. Cartledge, B. Frank, A.P. Freundorfer, S. Kabiri Ameri, C.E. Saavedra, A.Tait, S. Yam

Power Electronics

  • Grid-connected renewable electricity generation
  • Alternative energy power systems
  • High-frequency, high-efficiency converters

Faculty: A. Bakhshai, S.Z. Eren, P. Jain, Y.F. Liu, M. Pahlevani, P.C. Sen

Biomedical and Intelligent Systems

  • Modeling human arm dynamics and control of prosthetic arms
  • Real-time ultrasound image processing
  • Mobile and field robotics
  • Robot-assisted guidance of ultrasound probes and surgical instruments
  • Control of Discrete-Event Systems
  • Data analytics of physiological signals
  • Mathematical modeling of signaling pathways

Faculty: A. Etemad, M. Greenspan, K. Hashtrudi-Zaad, M.J. Korenberg, J. Marshall, E.L. Morin, M. Pan, K. Rudie.

Funding, Academic Prerequisites & Deadline

Funding Information

M.Eng. Program does not receive funding.

M.A.Sc. students (domestic & international): $23,000. for 2 years 

Ph.D. students (domestic & international : $25,000 for 4 years

Please note that international Ph.D. students pay domestic tuition rates as of September 1, 2021.

The basic package consists of scholarships, teaching assistantships and research assistantships. 

Queen’s automatically issues a $5,000 (M.A.Sc.) or $10,000 (PhD) top-up award to federal government Tri-Council Award winners. Internal awards are also available.

Academic Prerequisites

M.A.Sc.: Bachelor degree in Engineering or closely related field (e.g. computer science, physics, mathematics)

M.Eng.: Bachelor degree in Engineering or closely related field (e.g. computer science, physics, mathematics)

Ph.D.: Master of Applied Science or Master of Science

Grades Required

Minimum cumulative average of 75% from North American Universities, or 80% from other countries.

Other Requirements

Other requirements

  • Statement of Interest/Statement of Research
  • Curriculum Vitae
  • Description of courses taken to date (optional)
  • Proof of Landed Immigrant Status if you indicate this status.

Test Requirements

If English is not your first language, we require a minimum of 7.0 on IELTS or 80% on MELAB or for TOEFL; 580 (paper based); and 88 (Internet-based) with, a minimum score in each of the components: Writing test 24/30, Speaking test 22/30, Reading test 22/30 and Listening test 20/30.

Please note: We do not take GRE. Please do not request that the official test score be sent to us.

Key Dates and Deadlines

For September admission: January 31 for international and March 1 for domestic students.

For January admission: August 15 for all students (MASc and PhD only).

Notification of Acceptance: For September admission: Mid February to end of April for international students. May 31 for domestic students.

Learning Outcomes

Degree Level Expectations - MASc (77 KB)

Degree Level Expectations - M.Eng (75 KB)

Degree Level Expectations - PhD (76 KB)

Grad Maps

View the Grad Maps for this department and all graduate degrees on the Career Services website


PHoto of Tian LuTian Lu
Electrical & Computer Engineering
Recipient of Leadership Award
PHoto of Dhyanesh_ChaudhariDhyanesh Chaudhari
Electrical & Computer Engineering
Applying own creative ideas in spare time!
john lamJohn Lam
Electrical & Computer Engineering
A Bright Future - John had an idea!