Doctor of Philosophy in Computer Science (PhD)

Overview

PhD students in the Department of Computer Science may focus their research in the following areas:

  • Artificial Intelligence: computer vision, decision theory/game theory, knowledge representation and reasoning, intelligent user interfaces, machine learning, natural language understanding and generation, robotics and haptics.
  • Computer Graphics: animation, imaging, modeling, rendering, visualization.
  • Data Management and Mining: business intelligence, data integration, genomic analysis, text mining, web databases.
  • Formal Verification and Analysis of Systems: analog, digital and hybrid systems, VLSI, protocols, software.
  • Human Centered Technologies: human computer interaction (HCI), visual, haptic and multimodal interfaces, computer-supported cooperative work (CSCW), visual analytics.
  • Networks, Systems, and Security: high performance computing/parallel processing, networking, operating systems and virtualization, security.
  • Scientific Computing: numerical methods and software, differential equations, linear algebra, optimization.
  • Software Engineering and Programming Languages: development tools, foundations of computation, middleware, programming languages, software engineering.
  • Theory: algorithm design and analysis (including empirical), algorithmic game theory, discrete optimization, graph theory, computational geometry

What makes the program unique?

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.

Quick Facts

Degree
Doctor of Philosophy
Mode of delivery
On campus
Registration options
Full-time
Specialization
Computer Science
Program Components
Dissertation

Program Enquiries

If you have reviewed the information on this program page and understand the requirements for this program, you may send an enquiry

Requirements

TOEFL (ibT) Overall Score Requirement

100
22
21
22
21

IELTS Overall Score Requirement

7.0
6.5
6.5
6.5
6.5

GRE required?

Not required

Funding Sources

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. 

Career Outcomes

111 students graduated between 2005 and 2013. Of these, career information was obtained for 106 alumni (based on research conducted between Feb-May 2016):


RI (Research-Intensive) Faculty: typically tenure-track faculty positions (equivalent of the North American Assistant Professor, Associate Professor, and Professor positions) in PhD-granting institutions
TI (Teaching-Intensive) Faculty: typically full-time faculty positions in colleges or in institutions not granting PhDs, and teaching faculty at PhD-granting institutions
Term Faculty: faculty in term appointments (e.g. sessional lecturers, visiting assistant professors, etc.)
Sample Employers in Higher Education
University of British Columbia (5)
McGill University (3)
University of Waterloo (3)
University of Manitoba (2)
Swansea University
Stanford University
University of Utah
Ecole Polytechnique Federale de Lausanne (EPFL)
Swiss Federal Institute of Technology
University of Saskatchewan
Sample Employers Outside Higher Education
Google (12)
Microsoft (4)
Amazon (3)
Intel Corporation (3)
Disney (2)
Oracle Labs (2)
IBM (2)
Tasktop Technologies (2)
Tableau (2)
OriGene Technologies Inc.
Sample Job Titles Outside Higher Education
Research Scientist (5)
Software Engineer (5)
Senior Software Engineer (4)
Chief Technology Officer (3)
Product Manager (3)
Software Development Engineer (2)
Senior Data Scientist (2)
Senior Research Engineer (2)
Advisory Engineer
Senior Research Scientist
PhD Career Outcome Survey
You may view the full report on career outcomes of UBC PhD graduates on outcomes.grad.ubc.ca.
Disclaimer
These data represent historical employment information and do not guarantee future employment prospects for graduates of this program. They are for informational purposes only. Data were collected through either alumni surveys or internet research.

Alumni on Success

Barry Po

Job Title
Senior Director, Product & Business Development
Employer
NGRAIN

Tuition / Program Costs

FeesCanadian Citizen / Permanent Resident / Refugee / DiplomatInternational
Application Fee$104.00$168.25
Tuition *
Installments per year33
Tuition per installment$1,665.26$2,925.58
Tuition per year
(plus annual increase, usually 2%-5%)
$4,995.78$8,776.74
Int. Tuition Award (ITA) per year (if eligible) $3,200.00 (-)
Other Fees and Costs
Student Fees (yearly)$930.14 (approx.)
Costs of living (yearly)starting at $16,884.10 (check cost calculator)
* Regular, full-time tuition. For on-leave, extension, continuing or part time (if applicable) fees see UBC Calendar.
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.

Statistical Data

Enrolment Data

 20182017201620152014
Applications246151142129111
Offers2216151114
New registrations13131269
Total enrolment7876787683

Completion Rates & Times

This program has a graduation rate of 74.07% based on 54 students admitted between 2005 - 2008. Based on 33 graduations between 2014 - 2017 the minimum time to completion is 4.33 years and the maximum time is 7.66 years with an average of 5.91 years of study. All calculations exclude leave times.
Disclaimer
Admissions data refer to all UBC Vancouver applications, offers, new registrants for each year, May to April [data updated: 22 March 2019]. Enrolment data are based on March 1 snapshots. Program completion data are only provided for datasets comprised of more than 4 individuals. Rates and times of completion depend on a number of variables (e.g. curriculum requirements, student funding), some of which may have changed in recent years for some programs [data updated: 23 September 2018].

Research Supervisors

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.

  • Beschastnikh, Ivan (cloud computing, distributed systems, software engineering, software analysis)
  • Carenini, Giuseppe (Artificial intelligence, user modeling, decision theory, machine learning, social issues in computing, computational linguistics, information visualization)
  • Conati, Cristina (artificial intelligence, human-computer interaction, affective computing, personalized interfaces, intelligent user interfaces, intelligent interface agents, virtual agent, user-adapted interaction, computer-assisted education, educational computer games, computers in education, user-adaptive interaction, Artificial intelligence, adaptive interfaces, cognitive systems, user modelling)
  • Condon, Anne (Algorithms, Molecular Programming)
  • Evans, William (Algorithms, Theoretical Computer Science, Computer Sciences and Mathematical Tools, theoretical computer science, computational geometry, graph drawing, program compression)
  • Feeley, Michael (Distributed systems, operating systems, workstation and pc clusters)
  • Friedlander, Michael (numerical optimization, numerical linear algebra, scientific computing, Scientific computing)
  • Friedman, Joel (Computer Science Theory, Algebraic Graph Theory, Combinatorics)
  • Garcia, Ronald (programming language semantics, design, and implementation, including language support for library-centric and modular software development, generic and generative programming, and domain specific languages and libraries. )
  • Greenstreet, Mark (Dynamic systems, formal methods, hybrid systems, differential equations)
  • Greif, Chen (Numerical Analysis, scientific computing, numerical linear algebra, iterative linear solvers, constrained optimization, numerical solution of partial differential equations)
  • Harvey, Nicholas (randomized algorithms, combinatorial optimization, graph sparsification, discrepancy theory and learning theory; algorithmic problems arising in computer networking, including cache analysis, load balancing, data replication, peer-to-peer networks, and network coding.)
  • Holmes, Reid (computer science, software engineering, software testing, software quality, open source software, software development tools, software comprehension, static analysis)
  • Hu, Alan (formal verification, formal methods, model checking, software analysis, post-silicon validation, security, nonce to detect automated mining of profiles)
  • Hutchinson, Norman (Computer Systems, Distributed Systems, File Systems, Virtualization)
  • Kiczales, Gregor (MOOCs, Blended Learning, Flexible Learning, University Strategy for Flexible and Blended Learning, Computer Science Education, Programming Languages, Programming languages, aspect-oriented programming, foundations, reflections and meta programming, software design)
  • Lakshmanan, Laks (data management and data cleaning, data warehousing and OLAP, data and text mining, analytics on big graphs and news, social networks and media, recommender systems)
  • Leyton-Brown, Kevin (Artificial Intelligence, Algorithms, Theoretical Computer Science, Resource Allocation, Computer Science and Statistics, Machine learning, Game theory, Auction theory)
  • Little, James Joseph (Artificial intelligence, computational vision, geographic information systems, robotics)
  • Mackworth, Alan (vision; robotics, Intelligent systems, programming)
  • MacLean, Karon (Information Systems, human-computer interaction, haptic interfaces, human-robot interaction, design of user interfaces)
  • McGrenere, Joanna (human-computer interaction, personalized user interfaces, universal usability, interactive technologies for older users and people with cognitive disorders, computer supported cooperative work (CSCW), computer science)

Pages

Recent Doctoral Citations

  • Dr. Robin Salkeld
    "Dr. Salkeld developed a foundation for applying computer programming languages to recordings of running software. Called "Time-travel Programming," it allows computer scientists to interact with previously recorded software behavior using the same tools and techniques as live execution. This approach can be used to diagnose previously unsolved, difficult-to-reproduce bugs." (November 2018)
  • Dr. Mushfiqur Rouf
    "Cameras cannot capture the full range of light intensities without losing image accuracy. Dr. Rouf proposed a computational optimization framework and developed methods for reconstructing high-fidelity photographs. This framework challenges expensive, conventional solutions and provides a practical use for everyday photography." (November 2018)
  • Dr. Debanga Raj Neog
    "Dr. Neog developed methods to measure, model and animate movements of eyes and human facial tissues. He applied his methods to measure subtle motions of these tissues that convey important information in facial expressions. He subsequently used these measurements to model and generate interactive facial animations for applications in computer graphics." (November 2018)
  • Dr. Jianhui Chen
    "Dr. Chen's doctoral studies focused on the automatic broadcasting of team sports, like basketball and soccer. He developed several methods of learning knowledge from human operators. His research contributes to camera calibration, camera angle prediction and camera location prediction, using computer vision and machine learning techniques." (November 2018)
  • Dr. Julie Ann Nutini
    "Dr. Nutini studied greedy optimization methods for large-scale machine learning. She showed how to theoretically and empirically speed up these methods by leveraging their flexibility and exploiting problem structure. Her work revitalized the use of greedy methods for solving popular machine learning problems, proving that sometimes, greed IS good." (November 2018)

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