Dean of Graduate Studies > Future Students
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SFU Graduate Studies: Future Students

Simon Fraser University offers an excellent environment for research and graduate studies. The institution is home to a variety of world-class research facilities, innovative programs, and world-renowned scholars.

Over 5,000 post-graduate students are currently enrolled in graduate programs in our eight faculties.

Programs set their own application deadlines and some program accept applications throughout the year. Please consult the programs' websites for the final application deadline.

The Graduate Student Handbook provides useful information about the policies and procedures you will need to know as a graduate student at Simon Fraser University.

CONNECT WITH US

SFU FACULTY MEMBERS AND RESEARCH INTERESTS

A key part of your graduate experience is your relationship with your supervisor. Please see our advice on how to find a supervisor for your research.

ENTRANCE SCHOLARSHIP COMPETITION

SFU has a very limited number of major entrance scholarships for exceptional students.

If you wish to be nominated for an entrance scholarship, submit your admission application to your intended department by January 15.

News and Announcements

For new graduate students: SFU offers Tri-council top-up awards valued at  $5,000 per year

New program launched: The Academic English and Pre-Graduate Training Program (AEPGT) for incoming students who need to improve their English language proficiency.

FINANCIAL ASSISTANCE / EMPLOYMENT

Each graduate program sets its own policy on financial assistance, and applicants should contact programs directly for information. All graduate students are eligible to apply for:

Some graduate programs also have co-op work options.

International students' spouses or common-law partners may apply for Canadian work permits: See full guide.

Search the Graduate Studies website

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Defences and Events

  • Adhi Susilo PhD Education Thesis Examination
    10:00 AM - 1:00 PM
    May 30, 2013
    No Description
  • Haiyang Wang, Phd defence, Comp Sci
    11:30 AM - 1:30 PM
    May 30, 2013
    Ph.D. Thesis DEFENSE HAIYANG WANG Master from Tongji University, CHINA 2005 Thursday May 30th, 2013 11:30 a.m. TASC1 9204 West FROM PEERS TO CLOUDS: DISTRIBUTED RESOURCES FOR CONTENT DELIVERY AND USER COLLABORATION In this thesis, we tackle the problem of content delivery and user collaboration with emerging Internet technologies. Our investigation starts from peer-to-peer (P2P) sharing with social relations to contemporary cloud computing with flexible resource provisioning. We seek to leverage distributed resources for efficient sharing and collaboration, which leads to a hybrid system design that seamlessly bridges users' local resources to public datacenters. We first explore social-network-based optimizations in peer-to-peer content delivery. We give solid evidences that long-term social relations can be found and applied to enhance the sharing efficiency in peer-to-peer networks, and present practical implementation strategies for the popular BitTorrent system. We then investigate the performance of cloud-based file synchronization applications and identify the bottlenecks in their system design, in particular, the task interferences. We propose an interference-aware provisioning algorithm, which effectively mitigates the problem. We further examine the users' interactions in state-of-the-art cloud-based distributed interactive applications. We find that, despite the benefit in terms of cost savings and better scalability, the cloud-based deployment greatly increases the users' interaction latency. We demonstrate that a smart assignment algorithms for virtual machines can remarkably reduce such latency. Finally, we present a real-world system design that effectively bridges users' local resources to enterprise cloud platforms. Our measurements as well as system analysis indicate that it serves as a complement of great potentials to enterprise cloud services. Ph.D. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Mohamed Hefeeda, Supervisor Dr. Qianping Gu, Internal Examiner Dr. Kui Ren, External Examiner Dr. Steven Pearce, Chair
  • PhD Defence, Haiyang Wang, Comp Sci
    11:30 AM - 1:30 PM
    May 30, 2013
    Ph.D. Thesis DEFENSE HAIYANG WANG Master from Tongji University, CHINA 2005 Thursday May 30th, 2013 11:30 a.m. TASC1 9204 West FROM PEERS TO CLOUDS: DISTRIBUTED RESOURCES FOR CONTENT DELIVERY AND USER COLLABORATION In this thesis, we tackle the problem of content delivery and user collaboration with emerging Internet technologies. Our investigation starts from peer-to-peer (P2P) sharing with social relations to contemporary cloud computing with flexible resource provisioning. We seek to leverage distributed resources for efficient sharing and collaboration, which leads to a hybrid system design that seamlessly bridges users' local resources to public datacenters. We first explore social-network-based optimizations in peer-to-peer content delivery. We give solid evidences that long-term social relations can be found and applied to enhance the sharing efficiency in peer-to-peer networks, and present practical implementation strategies for the popular BitTorrent system. We then investigate the performance of cloud-based file synchronization applications and identify the bottlenecks in their system design, in particular, the task interferences. We propose an interference-aware provisioning algorithm, which effectively mitigates the problem. We further examine the users' interactions in state-of-the-art cloud-based distributed interactive applications. We find that, despite the benefit in terms of cost savings and better scalability, the cloud-based deployment greatly increases the users' interaction latency. We demonstrate that a smart assignment algorithms for virtual machines can remarkably reduce such latency. Finally, we present a real-world system design that effectively bridges users' local resources to enterprise cloud platforms. Our measurements as well as system analysis indicate that it serves as a complement of great potentials to enterprise cloud services. Ph.D. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Mohamed Hefeeda, Supervisor Dr. Qianping Gu, Internal Examiner Dr. Kui Ren, External Examiner Dr. Steven Pearce, Chair

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