Three Professional Master’s Program Projects Win 2021 Innovation Prize
Selected students were chosen by their instructors to present their project to the PMP Advisory Council Board members, who chose winners based on the following criteria: innovation, potential impact and quality of implementation. learn more →
Professional Master’s Program Prepares SFU Graduand for a Successful Return to the Data Science Industry
SFU graduand Matt Canute is ready to return to the data science industry with an expanded skillset as he graduates from the Professional Master of Science in Computer Science program this June. learn more →
Data science researcher builds tools to speed up data preparation
SFU computing science professor Jiannan Wang’s mission is to speed up data science by greatly reducing the time spent on data preparation. learn more →
Applications for the Fall 2022 intake will open on October 1, 2021 and close on January 10, 2022. Supporting documents are due by January 17, 2022.
The School of Computing Science offers a full-time master's program in professional computer science allowing students to take courses in areas like data science, data engineering, computer vision, computer graphics, deep learning, computer security, software security and more. This cohort-based program trains computational specialists who can construct models, develop algorithms, and write software using state-of-the-art graduate-level knowledge and techniques. The program has been running since 2014 and has created tremendous value for its graduates.
Data Science & Engineering
Courses cover the computational treatment of the massive datasets being collected in all areas of our society. We offer courses that will develop data architects who apply a deep knowledge of computer science to create new tools that find value in these vast amounts of data. Students are well-prepared to become data scientists, programmers, data solutions architects, and chief data officers capable of offering insights that support strategic decision-making.
Computer Vision & Graphics
As part of the professional master’s program, you have the option to take courses in computer vision, deep learning and computer graphics. Learn about interactive techniques to advance technologies for the acquisition, analysis, manipulation and creation of 2D or 3D visual content. Such courses prepare students to become software developers and architects in areas including deep learning, computer vision, computer graphics, machine learning, AR/VR and 3D games.
Computer Systems Security
The School of Computing Science has expertise in cyber risk management, a computing-based discipline combining technology, people, information, and processes to enable assured operations in the context of adversaries. It involves the creation, operation, analysis, and testing of secure computer systems. Students taking relevant courses can pursue positions like cybersecurity engineer, cybersecurity analyst, cybersecurity consultant, vulnerability analyst, network architect and many more.
SFU is Canada's top comprehensive university according to Maclean’s magazine. The university has ranked number one for 12 of the past 13 years.
The School of Computing Science is home to 68 top-notch researchers and instructors in computer vision, computer graphics, machine learning, artificial intelligence, database systems, data mining and more. Learn more about our faculty's research excellence and reputation.
SFU's Burnaby campus is located in cosmopolitan Metro-Vancouver, an area known globally for its high quality of life.