Graduate studies and research in computing and information systems is a chance to invent the future.  It gives you the opportunity to explore areas of interest with greater depth, greater understanding, and quite possibly, greater insight than anyone before.

Working closely with the talented faculty in our department, you benefit from a personalized and professional approach to research.  Our graduate students enjoy the day-to-day contact, the smaller working groups, and the feeling that they are an integral and valuable part of our departmental life.

The Department of Computing & Information Systems has diverse interests in software development and testing, parallel computation, distributed systems, performance analysis, and data mining.

If you are considering graduate studies in computing and information systems at Trent University, please apply to the graduate program in the Applied Modelling and Quantitative Methods (AMOD).  It is an umbrella program that recognizes the application of computational modelling and simulation across all fields.

Also, feel free to contact any one of our faculty below and explore the possibilities together.

 

Wenying Feng, Ph.D. (Glasgow) 

Modelling, performance analysis, and machine learning

Richard Hurley, Ph.D. (Waterloo) 

Distributed web caching and liberated learning

Jim Jury, Ph.D. (Toronto) 

Medical imaging and expert systems

Sabine McConnell, Ph.D. (Queen’s) 

Data mining and high performance computing

Brian Patrick, Ph.D. (McGill) 

Parallel computation and programming languages

Stephen Regoczei, M.Sc. (Toronto) 

Systems theory and conceptual modelling