Master of Applied Science in Electrical and Computer Engineering (MASc)
The Master of Applied Science (MASc) in Electrical and Computer Engineering Program is for students interested in pursuing advanced studies and research in Biomedical Technologies, Communications Systems, Computer and Software Systems, Energy Systems, or Micro and Nano Technologies. Electrical and Computer Engineers develop computing systems, from chip architecture to mobile applications, to communications protocols as well as the energy systems to allow these devices and all other electrical systems to function. The discipline has a huge impact on society because it helps to design the systems we use in everything from health to finance to safety.
In this program students can choose to contribute to research on technologies very close to or already in the market, or technologies that are in the early stages of research such as quantum computing or carbon nanotubes.
What makes the program unique?
Electrical and Computer Engineering is one of the largest graduate programs at The University of British Columbia with over 75 faculty members and 400 students. All of our faculty members lead distinguished research programs. Our faculty members also collaborate with colleagues in the Faculty of Medicine and Faculty of Science as well as with industry leaders. These collaborations allow our students to work beside world-leaders in their area of interest. Our students use cutting-edge technologies at The University of British Columbia’s many research facilities and centres of excellence as well as in the field.
Contact the program
Admission Information & Requirements
Applicants are required to upload to their application a PDF version of their Official Transcripts from each post-secondary institution (college, university, etc) that they have attended, showing both sides of the transcript document to include the university grading scale.
1) Check Eligibility
Minimum Academic Requirements
The Faculty of Graduate and Postdoctoral Studies establishes the minimum admission requirements common to all applicants, usually a minimum overall average in the B+ range (76% at UBC). The graduate program that you are applying to may have additional requirements. Please review the specific requirements for applicants with credentials from institutions in:
Each program may set higher academic minimum requirements. Please review the program website carefully to understand the program requirements. Meeting the minimum requirements does not guarantee admission as it is a competitive process.
English Language Test
Applicants from a university outside Canada in which English is not the primary language of instruction must provide results of an English language proficiency examination as part of their application. Tests must have been taken within the last 24 months at the time of submission of your application.
Minimum requirements for the two most common English language proficiency tests to apply to this program are listed below:
TOEFL: Test of English as a Foreign Language - internet-based
Overall score requirement: 100
IELTS: International English Language Testing System
Overall score requirement: 7.0
Other Test Scores
Some programs require additional test scores such as the Graduate Record Examination (GRE) or the Graduate Management Test (GMAT). The requirements for this program are:
The GRE is not required.
Prior degree, course and other requirements
Prior Degree Requirements
Applicants to the M.A.Sc. program must have an accredited (by UBC) four year Bachelor's degree in Electrical or Computer Engineering or a closely related field. It is preferred that M.A.Sc. applicants have a GPA in the first-class range and show some demonstrated aptitude for research.
All applicants are welcome to submit a GRE score, and while GRE scores are not mandatory, international students are strongly recommended to submit them. Please ask GRE to submit their examination report to UBC using the institution code 0965 (UBC). Applicants who have recently (within 5 years) completed a degree in one of the following countries do not need to submit a language score: Australia, Canada, Ireland, New Zealand, South Africa, United Kingdom, United States and the English-speaking countries of the West Indies. Other applicants, including Canadians, who have completed their most recent degree in other countries must submit a current TOEFL or IELTS (academic, not general) score. Unless you have completed a degree from one of the countries mentioned above within the past 5 years of your application, we require an official, current language score and will not waive this requirement. Our department does not consider conditional admission in the case of pending English language training.
2) Meet Deadlines
September 2022 Intake
Application Open Date15 October 2021
January 2023 Intake
Application Open Date01 May 2022
3) Prepare Application
All applicants have to submit transcripts from all past post-secondary study. Document submission requirements depend on whether your institution of study is within Canada or outside of Canada.
Letters of Reference
A minimum of three references are required for application to graduate programs at UBC. References should be requested from individuals who are prepared to provide a report on your academic ability and qualifications.
Statement of Interest
Many programs require a statement of interest, sometimes called a "statement of intent", "description of research interests" or something similar.
Students in research-based programs usually require a faculty member to function as their supervisor. Please follow the instructions provided by each program whether applicants should contact faculty members.
Instructions regarding supervisor contact for Master of Applied Science in Electrical and Computer Engineering (MASc)
Faculty members will review applications based on research interests and availability of student positions during the application/evaluation process.
Permanent Residents of Canada must provide a clear photocopy of both sides of the Permanent Resident card.
4) Apply Online
All applicants must complete an online application form and pay the application fee to be considered for admission to UBC.
Tuition & Financial Support
|Fees||Canadian Citizen / Permanent Resident / Refugee / Diplomat||International|
|Installments per year||3||3|
|Tuition per installment||$1,732.53||$3,043.77|
|Tuition per year|
(plus annual increase, usually 2%-5%)
|Int. Tuition Award (ITA) per year (if eligible)||$3,200.00 (-)|
|Other Fees and Costs|
|Student Fees (yearly)||$1,052.34 (approx.)|
|Costs of living (yearly)||starting at $17,126.20 (check cost calculator)|
All fees for the year are subject to adjustment and UBC reserves the right to change any fees without notice at any time, including tuition and student fees. Tuition fees are reviewed annually by the UBC Board of Governors. In recent years, tuition increases have been 2% for continuing domestic students and between 2% and 5% for continuing international students. New students may see higher increases in tuition. Admitted students who defer their admission are subject to the potentially higher tuition fees for incoming students effective at the later program start date. In case of a discrepancy between this webpage and the UBC Calendar, the UBC Calendar entry will be held to be correct.
Applicants to UBC have access to a variety of funding options, including merit-based (i.e. based on your academic performance) and need-based (i.e. based on your financial situation) opportunities.
Program Funding Packages
UBC has launched Canada's first Blockchain training pathway for graduate students. The Graduate Pathway on Blockchain and Decentralized Trust Technologies will be a 12-credit non-degree training program that augments existing Master's and Phd programs. Additional funding may be available for students as part of the Blockchain pathway.
Scholarships & awards (merit-based funding)
All applicants are encouraged to review the awards listing to identify potential opportunities to fund their graduate education. The database lists merit-based scholarships and awards and allows for filtering by various criteria, such as domestic vs. international or degree level.
Teaching Assistantships (GTA)
Graduate programs may have Teaching Assistantships available for registered full-time graduate students. Full teaching assistantships involve 12 hours work per week in preparation, lecturing, or laboratory instruction although many graduate programs offer partial TA appointments at less than 12 hours per week. Teaching assistantship rates are set by collective bargaining between the University and the Teaching Assistants' Union.
Research Assistantships (GRA)
Many professors are able to provide Research Assistantships (GRA) from their research grants to support full-time graduate students studying under their direction. The duties usually constitute part of the student's graduate degree requirements. A Graduate Research Assistantship is a form of financial support for a period of graduate study and is, therefore, not covered by a collective agreement. Unlike other forms of fellowship support for graduate students, the amount of a GRA is neither fixed nor subject to a university-wide formula. The stipend amounts vary widely, and are dependent on the field of study and the type of research grant from which the assistantship is being funded. Some research projects also require targeted research assistance and thus hire graduate students on an hourly basis.
Financial aid (need-based funding)
Canadian and US applicants may qualify for governmental loans to finance their studies. Please review eligibility and types of loans.
All students may be able to access private sector or bank loans.
Foreign government scholarships
Many foreign governments provide support to their citizens in pursuing education abroad. International applicants should check the various governmental resources in their home country, such as the Department of Education, for available scholarships.
Working while studying
The possibility to pursue work to supplement income may depend on the demands the program has on students. It should be carefully weighed if work leads to prolonged program durations or whether work placements can be meaningfully embedded into a program.
Tax credits and RRSP withdrawals
Canadian residents with RRSP accounts may be able to use the Lifelong Learning Plan (LLP) which allows students to withdraw amounts from their registered retirement savings plan (RRSPs) to finance full-time training or education for themselves or their partner.
Please review Filing taxes in Canada on the student services website for more information.
Applicants have access to the cost calculator to develop a financial plan that takes into account various income sources and expenses.
Enrolment, Duration & Other Stats
These statistics show data for the Master of Applied Science in Electrical and Computer Engineering (MASc). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.
Completion Rates & Times
This list shows faculty members with full supervisory privileges who are affiliated with this program. It is not a comprehensive list of all potential supervisors as faculty from other programs or faculty members without full supervisory privileges can request approvals to supervise graduate students in this program.
Aamodt, Tor (computer architecture, optimizing compilers, Computer architecture, Microarchitecture and programming models for energy efficient computer accelerators)
Abolmaesumi, Purang (Electrical engineering, computer engineering, and information engineering; Medical and biomedical engineering; Artificial Intelligence; Biomedical Engineering; Biomedical Technologies; Cancer Imaging; Computer Assisted Interventions; Image Guided Surgery; Machine Learning; Medical Imaging; Surgical Robotics; Ultrasound Imaging)
Beznosov, Konstantin (Electrical engineering, computer engineering, and information engineering; computer security and privacy; mobile security and privacy; online social networks security and privacy; usable security and privacy)
Bhargava, Vijay (Green communications, cognitive and cooperative wireless systems, MIMO-OFDM systems, cross-layer analysis)
Chen, Yu Christine (modeling, analysis, and control of electric power systems.)
Cheung, Karen (Electrical engineering, computer engineering, and information engineering; Medical and biomedical engineering; additive manufacturing; BioMEMS; Biomedical Technologies; biosensors; microfluidics; neural interfaces; organ-on-chip; Tissue Engineering)
Chrostowski, Lukas (Electrical engineering, computer engineering, and information engineering; Optics and Photonics; Micro and Nanoelectronics; Nanotechnologies; Manufacturing Processes; biophotonics; biosensors; optics; optoelectronics; photonics; quantum computing; semiconductor lasers; silicon photonics)
Cretu, Edmond (Clean Energy,Microsystems, adaptive MEMS, micro-instrumentation, nonlinear signal processing, BioMEMS ultrasound imaging)
Dumont, Guy A (biomedical engineering; automatic drug delivery; mobile health; global health; anesthesia; physiological monitoring;, Adaptive control, predictive control, control of distributed parameters systems, advanced process control, applications of wavelet analysis, biomedical applications of control, pulp and paper process control)
Dunford, William (Electrical power conversion, electric vehicles, alternative enery and sustainable development, DC systems with load and battery management., Clean Energy, power conversion, ranging from utility to microelectronic applications)
Fedorova, Alexandra (design of system software: the software that manages the hardware and decides how to allocate its resources to applications; building better performance tools.)
Fels, S Sidney (Human computer interaction, human 3D biomechanical modeling, speech synthesis, medical applications of modeling, computer vision, interactive arts and music)
Garbi, Rafeef (Bioinformatics; Electrical engineering, computer engineering, and information engineering; Medical and biomedical engineering; Artificial Intelligence; Biomedical Engineering; Biomedical Technologies; Computer Vision; Deep Learning; image analysis; Imaging; Machine Learning; Medical Image Computing)
Gopalakrishnan, Sathish (computer and software systems, real-time and embedded computing (computer systems as part of the real world); cyber-physical systems, Real-time systems, distributed systems, resource management)
Ivanov, Andre (microelectronics; integrated circuits, computer chip design, smart grid, engineering curriculum, Computer and Software Systems, Emerging Micro/Nano Technologies)
Jaeger, Nicolas A (Integrated-optics, fiber-optics, optical sensors, optical measurement of voltage and current in power substations, ultrahigh-speed electro-optic modulators, ultrahigh-speed measurement techniques)
Jatskevich, Juri (Power and energy systems, smart energy grids, power electronic systems and converter circuits, electrical machines and drives, controls, electromagnetic transients, computer modeling and simulation, distributed and parallel simulation)
Lampe, Lutz (Communication Systems, Wireless Communications, Mobile Communications, , Communication and information theory, Smart Grid, Grid diagnostics, Ultra-wideband (UWB), Wireless sensor networks, Localization and tracking, RFID, Cognitive radio, Power line communications, Compressed sensing, Machine Learning)
Lemieux, Guy (vector processors, parallel programming, programmable logic devices (PLDs, FPGAs), computer architecture, computer arithmetic, custom computing hardware, computer engineering, Programmable logic and computing systems, multiprocessor and computer architecture)
Leung, Cyril (Wireless communications, cellular systems, multihop mobile networks)
Li, Xiaoxiao (Machine Learning, Deep Learning, Explainable AI, Trustworthy AI, Privacy and Security, Medical Image Analysis, Bioinformatics)
Lis, Mieszko (Computer and Software Systems)
Madden, John (Electrical engineering, computer engineering, and information engineering; Medical and biomedical engineering; artificial muscle; electrochemical devices; electronic skin; Functional and Intelligent Materials; medical devices; smart materials; supercapacitors; wearables)
Marti, Jose (Computer modelling of response to disasters, Infrastructures Interdependencies Simulation (I2Sim) project, electric power, Energy systems)
Mesbah, Ali (Computer and Software Systems; software engineering)
Sample Thesis Submissions
Electrical and Computer Engineering provides advanced study and research for graduates of electrical or computer engineering, engineering physics, physics, computer science or other related subjects. Facilities are provided for research in: communications and signal processing; computers and computer applications; digital system design, VLSI design and software engineering; electromagnetics; power systems and power electronics; solid state devices; microelectronics, nanoelectronics and optoelectronics; robotics and telerobotics; and systems and control.