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Engineering

Big Data (Graduate Diploma) at Simon Fraser University

Simon Fraser University, Canada

Programme overview

The graduate diploma in big data is a professional graduate program that provides a hands-on introduction to computing technology relevant to the acquisition, preprocessing, storage, manipulation, and analysis of very large data sets, including both structured and unstructured data.

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

Official programme page

Application information

Entry requirements

Applicants must satisfy the university admission requirements as stated in Graduate General Regulation 1.3 in the SFU Calendar. In addition to the university CGPA requirement, students must hold a bachelor's degree or its equivalent in computing science or a related field. Students admitted to the master of science in big data may transfer to the graduate diploma in big data at any time with permission of the graduate program committee and graduate studies.

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.

Duration: three terms

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

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