Senior Director, Product & Business Development
PhD students in the Department of Computer Science may focus their research in the following areas:
The UBC Department of Computer Science has many contacts in the computing industry. A strong rapport between the industry and research communities is beneficial to both, especially in cases where the department focuses its research to developing real-world applications.
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.
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.
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||$1,767.18||$3,104.64|
|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)||$1,057.05 (approx.)|
|Costs of living (yearly)||starting at $17,366.20 (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 PhD students will be provided with a funding package of at least $24,000 for each of the first four years of their PhD program. The funding package consists of any combination of internal or external awards, teaching-related work, research assistantships, and graduate academic assistantships. This support is contingent on full-time registration as a UBC Graduate student, satisfactory performance in assigned teaching and research assistantship duties, and good standing with satisfactory progress in your academic performance. CS students are expected to apply for fellowships or scholarship to which they are eligible.
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.
111 students graduated between 2005 and 2013. Of these, career information was obtained for 106 alumni (based on research conducted between Feb-May 2016):
These statistics show data for the Doctor of Philosophy in Computer Science (PhD). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.
|2018||Dr. Legare studied the many privacy concerns associated with using modern cloud services. He has developed novel application design methods to improve the privacy of user data. His methods allow for cloud services that offer verifiable guarantees that user data will, in the long term, remain available, confidential, or anonymous.|
|2018||Dr. Su studied end-to-end computational imaging systems using numerical optimization and machine learning. By introducing time-resolved image formation models for color and depth cameras, his algorithms tackled some of the challenges in machine perception. Dr. Su's research opens the door to many exciting directions in computational photography research.|
|2017||Dr. Prince studied the integration of language processing with visualization techniques in asynchronous conversations. Findings revealed that language processing identifies topics and opinions, while visualization techniques provide overviews of the data. This work highlights the benefits of adding visualization techniques in supporting web-based conversations.|
|2017||Dr. Zhang's dissertation concerns computer graphics. He has developed novel numerical schemes that allow for restoring vorticity in fluid flow. Xinxin's work uses modern particle methods to solve large-scale problems with high speed. The resulting models provide realistic simulations that are rich in detail and are faithful to the physical properties of the fluid.|
|2017||Dr. Kardan proposed a framework for adding personalized support to educational tools such as interactive computer simulations. It relies on user data and data mining to automatically provide hints to students when they need them. Experimental evaluations show that this framework can make the existing educational tools significantly more effective.|
|2017||Dr. Hajiaghayi studied bioinformatics, which combines computer science and statistics to interpret biological systems. She investigated RNA/DNA structure prediction, RNA/DNA folding pathways, and chemical reaction networks. Her work helps us to more efficiently compute and analyze complex functions using interacting molecules.|
|2017||Dr. Wires investigated software techniques for efficiently processing very large data sets. As part of his research, he built a high-performance storage system that dynamically optimizes how hardware resources are allocated as workload requirements evolve. His work reduces the time and money required to perform data-intensive analysis tasks.|
|2017||Dr. Damberg studied brightness perception in cinema and found that we need intensities up to 20 times or higher compared to today's movie projectors for realistic looking images. He developed a new technology to efficiently achieve these intensities and commercialized it in a local start-up. He recently sold to the world's largest cinema projector maker.|
|2017||Dr. Keeler studied fast methods for integral equations applied to problems in fluid animation. The resulting surface-only methods implicitly handled infinite boundaries such as the ocean's depth. He also studied compressing the resulting surface data for use in real-time applications such as virtual reality and computer games.|
|2017||Dr. Seifi studied people's perceptions of and language for 'synthetic touch' feedback, such as vibrations from mobile phones and smartwatches. Based on her findings, she developed simple and effective mechanisms that enable ordinary people to design and personalize their everyday vibration notifications on a mobile device.|
Computer Science covers Bayesian statistics and applications, bioinformatics, computational intelligence (computational vision, automated reasoning, multi-agent systems, intelligent interfaces, and machine learning), computer communications, databases, distributed and parallel systems, empirical analysis of algorithms, computer graphics, human-computer interaction, hybrid systems, integrated systems design, networks, network security, networking and multimedia, numerical methods and geometry in computer graphics, operating systems, programming languages, robotics, scientific computation, software engineering, visualization, and theoretical aspects of computer science (computational complexity, computational geometry, analysis of complex graphs, and parallel processing).