Needles Hall, second floor, room 2201
The program information below was valid for the spring 2023 term (May 1, 2023 - August 31, 2023). This is the archived version; the most up-to-date program information is available through the current Graduate Studies Academic Calendar.
The Graduate Studies Academic Calendar is updated 3 times per year, at the start of each academic term (January 1, May 1, September 1). Graduate Studies Academic Calendars from previous terms can be found in the archives.
Students are responsible for reviewing the general information and regulations section of the Graduate Studies Academic Calendar.
Graduate research fields
- Algorithms and Complexity
- Artificial Intelligence
- Bioinformatics
- Computer Algebra and Symbolic Computation
- Computer Graphics
- Cryptography, Security and Privacy
- Databases
- Formal Methods
- Health Informatics
- Human-Computer Interaction
- Information Retrieval
- Machine Learning
- Programming Languages
- Quantum Computing
- Scientific Computing
- Software Engineering
- Systems and Networking
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Admit term(s)
- Fall
- Winter
- Spring
-
Delivery mode
- On-campus
-
Program type
- Master's
- Research
-
Registration option(s)
- Full-time
- Part-time
- Study option(s)
-
Minimum requirements
- An Honours Bachelor degree in Computer Science or Engineering (or equivalent degree) with at least a 78% standing.
-
Application materials
- Résumé
- Supplementary information form
- Transcript(s)
-
References
- Number of references: 3
-
Type of references:
at least 2 academic
- English language proficiency (ELP) (if applicable)
- Graduate Academic Integrity Module (Graduate AIM)
-
Courses
- Students must complete 4 one-term (0.50 unit weight) graduate courses:
- At least 1 course must be at the 800 level
- At most 1 course can be at the 600 level.
- No more than 2 courses can be taken for degree credit in one area.
- Normally, courses need to be selected from the Categories and Areas table but exceptions can be granted by the School of Computer Science.
Category
Area
Computer Science (CS) Courses
Computing Technology
Software Engineering
CS 645, CS 646, CS 647, CS 745, CS 746, CS 846
Programming Languages
CS 642, CS 644, CS 744, CS 747, CS 842
Hardware and Software Systems
CS 650, CS 651, CS 652, CS 654, CS 655, CS 656, CS 657, CS 658, CS 755, CS 758, CS 854, CS 856, CS 858**,CS 869
Mathematics of Computing
Algorithms and Complexity
CS 662, CS 664, CS 666, CS 758, CS 761, CS 762, CS 763, CS 764, CS 765, CS 767, CS 840, CS 858**, CS 860
Scientific and Symbolic Computing
CS 670, CS 672, CS 675, CS 676, CS 679, CS 687, CS 770, CS 774, CS 775, CS 778, CS 779, CS 780, CS 794, CS 870, CS 887
Computational Statistics CS 680, CS 685, CS 786, CS 794, CS 885 Quantum Information and Computation
CS 766, CS 768, CS 867
Applications
Artificial Intelligence
CS 679, CS 684, CS 686, CS 784, CS 785, CS 787, CS 886
Databases
CS 640, CS 648, CS 740, CS 741, CS 742, CS 743, CS 848, CS 856*
Graphics and User Interfaces
CS 649, CS 688, CS 781, CS 783, CS 788, CS 789, CS 791, CS 888, CS 889
Bioinformatics
CS 682, CS 782, CS 882
Health Informatics
CS 792
- Note: * The versions of CS 856 entitled "Internet-Scale Distributed Data Management" and "Web Data Management" can be used as a Databases course.
- Note: ** CS 858 can be used as a Hardware and Software Systems course or as an Algorithms and Complexity course, depending on the course offering.
- Students must complete 4 one-term (0.50 unit weight) graduate courses:
- Link(s) to courses
- Master’s Thesis
- Students must present their research topic in a publicly announced seminar.
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Other requirements
- Fast-track admission to the PhD in Computer Science: the School of Computer Science offers excellent students an opportunity to transfer from the MMath program to the Doctor of Philosophy (PhD) program. This transfer enables the student to begin doctoral research, bypassing the MMath thesis. To apply for this transfer, a student submits a letter of application to the Associate Director of Graduate Studies, any time after the completion of the second term of registration in the MMath program or earlier in exceptional circumstances. The application must be strongly supported by the student's proposed PhD supervisor. A successful applicant would normally be in the thesis option and have an excellent academic record. Evidence must be available that the student has begun a viable research program. If accepted for transfer to the PhD program, the student is expected to meet the requirements for a PhD student entering directly from a Bachelor's degree.
- Graduate Academic Integrity Module (Graduate AIM)
-
Courses
- Students must complete 7 one-term (0.50 unit weight) courses:
- At least 2 of the courses must be at the 800 level.
- At most 3 of the courses can be at the 600 level.
- No more than 3 courses can be taken for degree credit in one area.
- Normally, courses need to be selected from the Categories and Areas table but exceptions can be granted by the School of Computer Science.
Category
Area
Computer Science (CS) Courses
Computing Technology
Software Engineering
CS 645, CS 646, CS 647, CS 745, CS 746, CS 846
Programming Languages
CS 642, CS 644, CS 744, CS 747, CS 842
Hardware and Software Systems
CS 650, CS 651, CS 652, CS 654, CS 655, CS 656, CS 657, CS 658, CS 755, CS 758, CS 854, CS 856, CS 858**,CS 869
Mathematics of Computing
Algorithms and Complexity
CS 662, CS 664, CS 666, CS 758, CS 761, CS 762, CS 763, CS 764, CS 765, CS 767, CS 840, CS 858**, CS 860
Scientific and Symbolic Computing
CS 670, CS 672, CS 675, CS 676, CS 679, CS 687, CS 770, CS 774, CS 775, CS 778, CS 779, CS 780, CS 794, CS 870, CS 887
Computational Statistics CS 680, CS 685, CS 786, CS 794, CS 885 Quantum Information and Computation
CS 766, CS 768, CS 867
Applications
Artificial Intelligence
CS 679, CS 684, CS 686, CS 784, CS 785, CS 787, CS 886
Databases
CS 640, CS 648, CS 740, CS 741, CS 742, CS 743, CS 848, CS 856*
Graphics and User Interfaces
CS 649, CS 688, CS 781, CS 783, CS 788, CS 789, CS 791, CS 888, CS 889
Bioinformatics
CS 682, CS 782, CS 882
Health Informatics
CS 792
- Note: * The versions of CS 856 entitled "Internet-Scale Distributed Data Management" and "Web Data Management" can be used as a Databases course.
- Note: ** CS 858 can be used as a Hardware and Software Systems course or as an Algorithms and Complexity course, depending on the course offering.
- Students must complete 7 one-term (0.50 unit weight) courses:
- Link(s) to courses
- Master’s Research Paper
- Students must present their research paper topic in a publicly announced seminar.
Thesis option:
Master's Research Paper option:
Note: it is not possible to be admitted directly to the Master’s Research Paper option but students may be able to transfer to it from the thesis option.