Master of Mathematics (MMath) in Computer Science

The program information below was valid for the winter 2017 term (January 1, 2017 - April 30, 2017). 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.

• 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) 
  • Thesis
  • Master's Research Paper
  • Coursework

• Minimum requirements 
  • An Honours Bachelor degree in Computer Science or Engineering (or equivalent degree) with at least a 78% standing.
  • The Graduate Record Examination (GRE) General test is required of all applicants to the School of Computer Science, who have not completed a 4 year undergraduate degree at a North American University where English is the primary language of instruction.
• 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)

Thesis option:

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 842
	Hardware and Software Systems	CS 650, CS 652, CS 654, CS 655, CS 656, CS 657, CS 658, CS 758, CS 854, CS 856, CS 858**,CS 869
Mathematics of Computing	Algorithms and Complexity	CS 662, CS 664, CS 666, 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 673, CS 675, CS 676, CS 687, CS 770, CS 774, CS 775, CS 778, CS 779, CS 780, CS 870, CS 887
	Quantum Information and Computation	CS 766, CS 768, CS 867
Applications	Artificial Intelligence	CS 684, CS 685, CS 686, CS 784, CS 785, CS 786, CS 787, CS 886
	Databases	CS 640, CS 648, CS 740, CS 741, CS 742, 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 683, CS 782, CS 882
	Health Informatics	CS 792, CS 793

• 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.

Link(s) to courses

• Computer Science (CS) courses

Master’s Thesis

• Students must present their research topic in a publicly announced seminar.

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.

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 other two options.

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 842
	Hardware and Software Systems	CS 650, CS 652, CS 654, CS 655, CS 656, CS 657, CS 658, CS 758, CS 854, CS 856, CS 858**,CS 869
Mathematics of Computing	Algorithms and Complexity	CS 662, CS 664, CS 666, 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 673, CS 675, CS 676, CS 687, CS 770, CS 774, CS 775, CS 778, CS 779, CS 780, CS 870, CS 887
	Quantum Information and Computation	CS 766, CS 768, CS 867
Applications	Artificial Intelligence	CS 684, CS 685, CS 686, CS 784, CS 785, CS 786, CS 787, CS 886
	Databases	CS 640, CS 648, CS 740, CS 741, CS 742, 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 683, CS 782, CS 882
	Health Informatics	CS 792, CS 793

• 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.

Link(s) to courses

• Computer Science (CS) courses

Master’s Research Paper

• Students must present their research paper topic in a publicly announced seminar.

Coursework option:

Graduate Academic Integrity Module (Graduate AIM)

Courses 

• Students must complete 8 one-term (0.50 unit weight) graduate courses:
  • At least 2 courses must be at the 800 level
  • At most 3 courses can be at the 600 level.
  • No more than 4 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 842
	Hardware and Software Systems	CS 650, CS 652, CS 654, CS 655, CS 656, CS 657, CS 658, CS 758, CS 854, CS 856, CS 858**,CS 869
Mathematics of Computing	Algorithms and Complexity	CS 662, CS 664, CS 666, 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 673, CS 675, CS 676, CS 687, CS 770, CS 774, CS 775, CS 778, CS 779, CS 780, CS 870, CS 887
	Quantum Information and Computation	CS 766, CS 768, CS 867
Applications	Artificial Intelligence	CS 684, CS 685, CS 686, CS 784, CS 785, CS 786, CS 787, CS 886
	Databases	CS 640, CS 648, CS 740, CS 741, CS 742, 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 683, CS 782, CS 882
	Health Informatics	CS 792, CS 793

• 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.

Link(s) to courses

• Computer Science (CS) courses