Big Data (MSc) at Simon Fraser University

Programme overview

The master of science in big data program engages students in developing deep knowledge and practical skills in specialized areas of computer science. The program trains computational specialists who can construct models, develop algorithms, and write software using state-of-the-art graduate-level knowledge and techniques.

Faculty: Faculty of Applied Sciences | Department: School of Computing Science | Duration: four terms | Study mode: full-time | Location: Burnaby, British Columbia, Canada

What you will study

This program consists of course work, and co-op or graduate project for a minimum of 30 graduate units.

Official programme page

Application information

Entry requirements

The School's Graduate Admissions Committee may recommend, at its discretion, admission to the professional master's program to exceptional students without an undergraduate degree in computer science or a related field. Students who do not meet the minimum university requirements may be recommended as conditional or qualifying students as per Graduate General Regulation (GGR) 1.3.8 or 1.3.9 . For further information on conditional or qualifying admission requirements, please contact the Program Coordinator.

Tuition is charged per credit, so the total depends on the courses you register for each year. Current fees are listed in the official fee schedule.

Trimester system: Fall term runs September through December, Spring term January through April, Summer term May through August. Admission is specific to each programme.

The application fee is 112 CAD for applicants with Canadian transcripts and 160 CAD for applicants with international transcripts, paid online after submitting the application form. Deadlines are set by each programme.

Apply through the official page: https://www.sfu.ca/gradstudies/apply.html

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