Dean of Graduate Studies > Future Students > Academic Programs > Health Sciences

Health Sciences

Degrees available:

Campus: Burnaby

The Graduate Diploma is offered on a part-time basis and scheduled at convenient times for working professionals. The MPH and MSc programs are offered on a full-time basis.

Please consult the departmental website for admission requirements.

Applications

Apply through our online application system. (See Application Process if you need assistance with your application, or with uploading your supporting documents.)

If you have admission-related questions, please email: fhsgrads@sfu.ca

Mail your sealed documents to:
Graduate Program Admissions
Faculty of Health Sciences
Blusson Hall 10703
Simon Fraser University
8888 University Drive
Burnaby BC, V5A 1S6

Application Deadlines: The Graduate Diploma and MPH have one deadline of February 1 for a fall semester start.  The MSc has multiple deadlines: February 1 for a fall semester start; June 1 for a spring semester start; October 1 for a summer semester start.

Fees

Note: International students may pay the same graduate fees as domestic students, depending on the program chosen. Please consult the program's website for further clarification.

Related Scholarships

See also scholarships for all SFU graduate students.

Connections

Mubnii, Master of Public Health graduate student
Mubnii says, "I chose to do a MPH due to my interest in the behavioral, cultural and social aspects of the global HIV/AIDS epidemic among vulnerable populations. I am excited about the practicum component of the program, where Global Health students have the opportunity to travel internationally for one semester and apply their knowledge. My favorite part of the program so far is learning about the impact of globalization and market forces on health services around the world. After this program, I hope to work abroad with a community or non-governmental organization, in disease prevention or health promotion."

 

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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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