Doctor of Philosophy in Computer Science - Programming Languages

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 If you want to continue pursuing research and expand your learning, you will work with a supervisor to develop a thesis. As a graduate student at the PhD level you will be expected to conduct meaningful research that expands the scope of your graduate work.

Every aspect of computer science depends on programming languages to transform human ideas into a practical, functioning form executable by a computer. Many different programming languages have been developed and each addresses a well-defined purpose across a number of diverse computing environments. The Programming Languages Group (PLG) does research across this full spectrum: language design, parsing, type theory, static and dynamic analysis, code generation and runtime systems. PLG also examines the software life-cycle development tools, code comprehension and transformation, performance, debugging, and programmer behaviour and productivity. The research goal is to ease transforming human ideas into an executable form by a computer, which can be accomplished at multiple levels in the highly complex software stack.

A Master's degree in Computer Science with a 78% average.
Student with an undergraduate degree in Computer Science may apply for admission directly to the PhD program. Successful applicants will have an outstanding academic record, breadth of knowledge in computer science, and strong letters of recommendation.
PhD applicants may be admitted into the Master of Mathematics (MMath) program. Like all MMath students, they will have the option to transfer into the PhD program before completing the master's thesis if their performance warrants.
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Supplementary information form (SIF)
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References
Three references are required, at least two academic
Proof of English language proficiency, if applicable
TOEFL 93 (writing 22, speaking 22), IELTS 6.5 (writing 6.0, speaking 6.5)