Public Authority for Applied Education and Training
The Doctor of Philosophy (PhD) 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. Applicants to the program must have a high scholastic standing and must have demonstrated an aptitude for research to be admitted to the Ph.D. program, as the program is designed to develop the ability for independent research.
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.
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. The 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.
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.
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.
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:
Overall score requirement: 100
Overall score requirement: 7.0
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.
Applicants to the Ph.D. program must have a course and thesis-based Master's degree and references must include a detailed letter from the thesis supervisor. Applicants who have completed a course-based only Master's program are not generally eligible for the Ph.D. program. Applicants who have completed a degree by research only may have to complete a year of additional coursework as part of their Ph.D. program.
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.
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.
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.
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.
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.
All applicants must complete an online application form and pay the application fee to be considered for admission to UBC.
|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)||$969.17 (approx.)|
|Costs of living (yearly)||starting at $17,242.00 (check cost calculator)|
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.
All full-time students who begin a UBC-Vancouver PhD program in September 2021 or later will be provided with a funding package of at least $22,000 for each of the first four years of their PhD. The funding package may consist of any combination of internal or external awards, teaching-related work, research assistantships, and graduate academic assistantships. Please note that many graduate programs provide funding packages that are substantially greater than $22,000 per year. Please check with your prospective graduate program for specific details of the funding provided to its PhD students.
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.
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.
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.
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.
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.
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.
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.
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.
211 students graduated between 2005 and 2013. Of these, career information was obtained for 200 alumni (based on research conducted between Feb-May 2016):
These statistics show data for the Doctor of Philosophy in Electrical and Computer Engineering (PhD). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.
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.
|2020||Dr. Mustard investigated how to improve the speed of data analysis on computer systems. He developed a system that runs analysis tasks on novel computer processors that efficiently communicate over data center networks. His research provides insights into how and when to use these new designs to make data analysis faster for everyday users.|
|2020||Dr. Cui developed comprehensive approaches to interpreting deep learning models in visual understanding. These approaches provide explanations from diverse aspects for the black-box deep learning models. His work will help build trust in end-users for those deep models and contribute to the model deployment.|
|2020||Dr. Ren proposed architectural supports for efficient synchronizations in both single-Graphics Processing Units and multi-GPU systems. His work can simplify GPU programming, increase performance, and extend hardware scalability to large-scale systems, thereby attracting more programmers and extending GPU to a wider range of application domains.|
|2020||Dr. Rashtian worked on data prioritization when constraints prevent from collecting data from every source. He developed reinforcement learning methods to derive decision policies for data collection. His work provides benefits for large-scale machine learning pipelines in industrial applications such as the Internet of Things and social media.|
|2020||Dr. Mehrtash developed computer algorithms to assist doctors and improve outcomes for patients undergoing image-guided procedures. He devised novel machine learning methods for improving prostate cancer diagnosis and interventions. His work led to the development of new methods for uncertainty estimation in clinical decision-making systems.|
|2020||Dr. Luo developed an image sensor chip capable of per-pixel coded exposure for emerging machine vision applications. He subsequently applied his image sensor design in a portable AI camera to produce high-speed video, high dynamic range photos, and 3D depth maps with a single image capture.|
|2020||Dr. Reza developed a highly-scalable, distributed solution to support practical pattern matching based analytics in large graph datasets. He demonstrated the effectiveness of this technique through scaling experiments on massive real-world graph datasets and at platform scales, orders of magnitude larger than used in the past for similar problems.|
|2020||Dr. Fang developed comprehensive approaches to help applications detect and recover from failures caused by hardware faults in high-performance computing systems. These approaches improve the overall efficiency and effectiveness of error detection and resilience techniques that are commonly practiced in the high-performance computing domain.|
|2020||Dr. Karimibiuki studied security solutions for dynamic systems within the Internet-of-Things (IoT), such as drones and rovers. He developed mathematical-based methods to detect software vulnerabilities in mobile computer systems such as drones. His work enables the detection of malicious behaviors in autonomous IoT systems.|
|2020||Dr. Dong studied the integration of renewable energy into electric power systems. He proposed several renewable energy controller designs that have adjustable response speed, reduced output-power coupling, and fast synchronization speed. His research results will enable power systems to integrate more environmentally-friendly renewable energy.|
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.
I owe the decision of joining UBC to my supervisors, Prof. Abolmaesumi and Fels, who collectively drew an intriguing image of the opportunities in their interdisciplinary research settings where I could bridge my dentistry and computer engineering backgrounds. Besides, it is also hard to find a...
I decided to pursue my PhD in a renowned university like the University of British Columbia, as here I have got the opportunity to do state-of-the-art research in my field of interest. At UBC, I am constantly interacting with world-class researchers who are changing the world through their...