Master of Mathematics in Computer Science - Systems and Networking

The David R. Cheriton School of Computer Science has an international reputation in teaching, academics, research, and employment. We attract exceptional students from all over the world to study and conduct research with our award-winning faculty. You can participate in research projects in a wide variety of topics with our internationally acclaimed researchers. Our research spans the field of computer science, from core work on systems, theory and programming languages to human-computer interaction, DNA and quantum computing to theoretical and applied machine learning, just to name a few. As a graduate student, you will: Access research-intensive lab spaces. Gain the opportunity to publish your work in top conferences and journals. Present at premier conferences in front of peers, industry leaders, researchers, and experts in your field. As a graduate student, you will have the independence to pursue your preferred area of research with a faculty supervisor, or complete eight courses to fulfill your degree requirements through the coursework option

The focus of the Systems and Networking Group is the design, implementation, analysis, and evaluation of computer systems and networks that knit together disparate underlying components to present a cohesive operating environment for task-specific applications. Our members study systems ranging from single-processor, standalone embedded systems to large-scale highly networked distributed systems. Research activity similarly covers a broad variety of topics: parallel hardware, systems software, data-centre networking and data-centre systems, wireless networks, energy systems, and wide-area networks.

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