Master of Science in Big Data

The Master of Science 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, data solutions architects, and chief data officers capable of offering insights that influence strategic decision-making. The curriculum was developed and is constantly being refined using input from an advisory panel of industry leaders. Through SFU’s respected co-op program, students tackle real-world challenges, gain valuable project management experience, and grow their network of industry contacts.

Unlike traditional thesis-based degrees, this program does not have a research component. Instead, almost half of the coursework consists of hands-on lab training, complemented by a carefully selected array of instructional courses. Students develop deep knowledge and practical skills working with data in all forms. Consulting with dedicated academic advisors, students are able to select courses that help them hone in on an area of interest. The program is best suited for students who wish to work in industry upon graduation and have a strong aptitude in computer science or other quantitative fields, such as engineering or mathematics.

Admission Requirements

• Bachelor’s degree or equivalent in computer science or a related field with a cumulative grade point average (CGPA) of at least 3.00/4.33 (B) or the equivalent.

What You’ll Learn

• Analysis of scalability of algorithms to big data.
• Data warehouses and online analytical processing.
• Efficient storage of big data including data streams.
• Scalable querying and reporting on massive data sets.
• Scalable and distributed hardware and software architectures.
• Software as a service. Cloud Computing (e.g. Amazon EC2, Google Compute Engine).