- About Us
- Faisal Beg – Algorithms to Advance Research in Medicine
- Yasutaka Furukawa – Smart Building Technologies to Enhance Living Spaces and Create Opportunities
- Mo Chen – AI to Create Safe and Practical Robotics
- Sheelagh Carpendale – Understanding Data Through Interaction and Visualization
- Innovation to Improve 3D Navigation
- Voice AI is Helping Shoppers Make Better Decisions
- Geographic Information Science Can Help Better Track COVID-19
- Deep Learning to Inform Medical Diagnoses
- Protecting Killer Whales from Marine Traffic
- Using Big Data to Boost Athletic Performance
- Machine Reading for Literary Texts
- Finding a Cure for HIV with Big Data
- Linked Data for Women's History
- How Big Data Can Combat Fake News
- Algorithms for Safer Streets
- Discovering Wilde Data
- Deep Blue Data
- Big Data Meets Big Impact
- Previous Next Big Question Fund Projects
- Data Fellowships
- Using Data
- Upcoming Events
SFU's academic programs are training the next generation of big data leaders. Engaging students from diverse disciplines at all levels, SFU is providing education in big data approaches and tools, visualization, digital scholarship, data access, curation, security and more. Through our extensive range of program options, we are meeting the student demand for data-intensive educational experiences and delivering job-ready big data experts.
Professional Master’s Program in Big Data
SFU's Professional Master’s Program in Big Data develops data architects who apply a deep knowledge of computer science to create new tools that find value in the vast amounts of information generated today.
Students are well-prepared to become data scientists, programmers, solutions architects and chief data officers capable of offering insights that influence strategic decision-making. The program is challenging and ideal for those with a strong aptitude in computer science or in quantitative fields, such as engineering or physics.
Students tackle real-world challenges, gain valuable project management experience, and grow their network of industry contacts through SFU's respected co-op program.
Terrorism, Risk, and Security Studies Professional Master’s Program (TRSS)
The Terrorism, Risk, and Security Studies Professional Master’s Program (TRSS) is a unique, interdisciplinary program, delivered completely online, that addresses security challenges from a number of perspectives. The TRSS program leverages SFU’s recognized strengths in Terrorism Studies, Human Intelligence, Computation and Big Data, Risk Assessment, Decision Analysis, and Public Policy to address security issues from a variety of diverse, yet complimentary, disciplinary perspectives.
The new TRSS MA Program will be able to offer a wide range of specialized course content to not only ensure the dissemination of industry best practices, but also encourage a broader perspective among security and intelligence professionals.
Professional Master's program in cybersecurity
Cybersecurity is the practice of protecting hardware, software, and data from digital attacks. Due to a high degree of global connectivity, cyber attacks are increasingly more frequent and more severe. Across the world, cybersecurity professionals are in high demand; the field consistently deals with a 0% unemployment rate and a serious talent shortage. With the advantage of SFU's co-op program, the hands-on lab courses, and a well-rounded curriculum, students who specialize in this discipline are well-positioned to not only launch, but also progress in, rewarding careers with roles like cybersecurity engineer, cybersecurity analyst, cybersecurity consultant, vulnerability analyst, network architect, and more.
PROFESSIONAL MASTER'S PROGRAM IN VISUAL COMPUTING
Visual computing is an emerging discipline that combines computer vision, deep learning, computer graphics, and interactive techniques to advance technologies for the acquisition, analysis, manipulation, and creation of 2D or 3D visual content. This concentration of the professional master's program trains computer vision scientists, software engineers, and computer graphics experts in the application of cutting-edge deep learning techniques as well as traditional methods and technologies. Graduates contribute their expertise to industries specializing in computer vision, deep learning, robotics, visual effects, video games, autonomous driving, medical imaging, or companies dealing with visual data analysis and manipulation, including social media and video-sharing platforms.