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One opening for a MSc student
Research area
Student will study models of systems in which probabilities play a central role, such as randomized algorithms. These models are variants of Markov chains and Markov decision processes. Student need not be familiar with these models, but should be comfortable with some probability theory. This research is expected to impact the ability to find bugs in randomized code.
Admission requirements
Student must have an honors degree in Computer Science or closely related area, with at least a B+ average in the last two years of study, and must have completed a senior-level course in theoretical computer science. Student must have strength in both theory (high grades in theoretical courses on topics such as algorithms, data structures, complexity theory, etc) and practice (competent in a high level programming language such as Java or C++).
Degree requirements
Student must complete five graduate courses and defend a thesis.
Timeline
The length of the program is five terms (each academic year contains three terms and, hence, each term is four months). Normally, students
- Term 1: take three courses;
- Term 2: take two courses, read material about the research area;
- Term 3: do research;
- Term 4: do research;
- Term 5: write thesis and defend it.
Tuition, Fees, Funding and Scholarships
The tuition and supplementary fees are roughly $2,000 per term for domestic full-time students and roughly $6,500 per term for international full-time students. Normally, domestic full-time students receive roughly $10,000 of funding per term and international full-time students receive roughly $12,500 of funding per term. Normally, students who win substantial scholarships (such as NSERC, OGS, and Trillium) receive roughly $2,500 extra per term for the duration of the scholarship. Exceptional students also receive a York Graduate Scholarship of $6,000.
Additional information
For additional information, send email to franck@eecs.yorku.ca.
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