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.
|2013||Dr. Southey investigated systems to help robots recognize objects. He studied the role of qualitative 3D spatial relationships that allows robots to differentiate between likely and unlikely spatial configurations, in order to detect objects. Someday it could help robots in tasks like personal care which require them to recognize household items.|
|2013||Dr. Meger conducted research in the field of Computer Science. He developed methods for robotic vehicles to understand the objects in their environment, using camera sensors. His work has resulted in one of the world's most capable robots for this task and been demonstrated to improve the performance of autonomous driving and home-assistant devices|
|2013||Dr.Ingram completed his research in the field of information visualization. His work focused on designing algorithms and tools for visually exploring large collections of text. These tools help researchers outside of computer science, like journalists, to summarize and understand these unstructured collections in less time than with existing tools.|
|2013||Dr. Fazli developed efficient algorithms to enable a team of robots to move around a target area and perform sensing and data collection. These robots can be used in challenging domains, such as search and rescue operations, planetary exploration, landmine detection, area patrolling, forest or ocean monitoring, and distributed servicing tasks.|
|2013||Dr. Muja researched efficient methods of indexing and searching large collections of data. He discovered ways of improving the efficiency of searches by using "approximate nearest neighbour" algorithms. The results of this work have been released as an open source library that is already being used by a large number of research groups around the world.|
|2013||Dr. Goyal developed accurate models and scalable algorithms for social influence analysis. This research assists us in understanding the flow of information in online social networks like Facebook and Twitter, in addition to improving applications like viral marketing and recommender systems.|
|2013||Dr. Yeo developed a computational model showing how movement is generated from muscle, how it interacts with the skeleton, and then how it is controlled by the brain. His work revealed a movement mechanism which was not well understood before, and an efficient way to simulate it which can be used in computer animation and movement neuroscience.|
|2013||Dr. Atcheson designed a digital system for recording real-world gas flows, such as vapour trails, using ordinary, consumer-grade cameras. The techniques developed to calibrate the cameras have proven useful in other computer graphics applications. This research advances the state of the art in capturing fluid motion for the visual effects industry.|
|2013||Dr. Khan's work focuses on artificial intelligence. He developed fast and accurate algorithms for data analysis, which in turn contributes to the design of smart computers. His work enables intelligent computing in a wide variety of areas such as robotics, genetics, multimedia, economics, social science, and education.|
|2013||Dr. Schechter developed new algorithms for simulating the flow of water and smoke in computer graphics. Her work includes modelling the impression of turbulence, capturing the interaction of water with solids and air, and generating the geometry of a water surface. This is of particular interest to the film visual effects and computer game industries.|
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).