Master of Science in Computer Science (MSc)

Overview

The UBC Department of Computer Science, established in May 1968, is one of the top computer science departments in North America. Recognized internationally for excellence in research and teaching with a conscious focus on interdisciplinary programs, the Department encourages diversity both within its community and areas of study, and plays a leadership role in research, teaching and outreach activities to champion the understanding and integration of Computer Science within all aspects of society.

For those students contemplating advanced studies in computer science at UBC, completing a master's degree before continuing to the PhD program confers several advantages. The two-year period of the master's first helps students decide whether a research career is the right career choice for them. If it is, taking this time helps give them the skills needed to pursue independent research. Second, the research experience gained can be very valuable as student work toward picking a PhD topic, as most professors in the department prefer that students shoulder this choice on their own. Third, a student who completes a master's degree and decides to work in industry prior to embarking on the full PhD has the opportunity to apply his or her skills and master's level education in the field and to take advantage of jobs that have attractive starting salaries.

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
Master of Science
Subject
Information Technology
Mode of delivery
On campus
Specialization
Computer Science
Program Components
Coursework + Options
Faculty
Faculty of Science

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

Full MSc students will be supported at $6333.33 per term for their first two terms. After that, students writing an MSc thesis will be paid $7,333.33 per term after the first two terms, which amounts to $20,000 taxable stipend in the first year and $22,000 taxable stipend in the second year. MSc students pursuing the Breadth essay option will continue at the initial rate, which amounts to $19,000 taxable stipend per year. 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 Options

Our faculty and students actively interact with industry in numerous fields. Via internships, consulting and the launching of new companies, they contribute to the state-of-the-art in environmental monitoring, energy prediction, software, cloud computing, search engines, social networks, advertising, e-commerce, electronic trading, entertainment games, special effects in movies, robotics, bioinformatics, biomedical engineering, and more.

Tuition / Program Costs

FeesCanadian Citizen / Permanent Resident / Refugee / DiplomatInternational
Application Fee$102.00$165.00
Tuition *
Installments per year33
Tuition per installment$1,632.61$2,868.22
Tuition per year$4,897.83$8,604.66
Int. Tuition Award (ITA) per year (if eligible) $3,200.00 (-)
Other Fees and Costs
Student Fees (yearly)$923.38 (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. 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

 20172016201520142013
Applications1011645590489484
Offers10033656781
New registrations5524282337
Total enrolment101708588115

Completion Rates & Times

This program has a graduation rate of 89.02% based on 164 students admitted between 2007 - 2010. Based on 129 graduations between 2013 - 2016 the minimum time to completion is 1.33 years and the maximum time is 5.66 years with an average of 2.53 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: 9 March 2018]. 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: 29 September 2017].

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.

  • Ascher, Uri Michael (Ultibody systems applications, multilevel methods, numerical methods for differential equations with constraints, scientific computing)
  • 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 (scientific computing, numerical linear algebra, iterative linear solvers, constrained optimization, numerical solution of partial differential equations)
  • Gupta, Arvind (Algorithmic Issues in Bioinformatics; Constructive Combinatorics)
  • 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.)
  • Heidrich, Wolfgang (computational imaging and display, an emerging research area within visual computing, which combines methods from computer graphics, machine vision, imaging, inverse methods, optics and perception to develop new sensing and display technologies)
  • 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, Artificial intelligence, Machine learning, Algorithms, Game theory, Auction theory)
  • Little, James Joseph (Artificial intelligence, computational vision, geographic information systems, robotics)
  • Mackworth, Alan (vision; robotics, Intelligent systems, programming)

Pages

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