Master of Mathematics (MMath) in Computer Science - Quantum Information

The program information below is valid for the fall 2019 term (September 1, 2019 - December 31, 2019).

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 
    • Collaborative
    • Master's
    • Research
  • Registration option(s) 
    • Full-time
    • Part-time
  • Study option(s) 
  • Minimum requirements 
    • An Honours Bachelor degree (or equivalent) in Computer Science 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 
    • Computer Science courses: students must complete 4 one-term (0.50 unit weight) Computer Science 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.

    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 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 687, CS 770, CS 774, CS 775, CS 778, CS 779, CS 780, CS 870, CS 887

    Computational Statistics CS 680, CS 685, CS 786, CS 885

    Quantum Information and Computation

    CS 766, CS 768, CS 867

    Applications

    Artificial Intelligence

    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.
    • Quantum Information courses: students are required to take the 2 Quantum Information core courses listed below. These interdisciplinary courses provide a strong foundation in quantum information science:
      • CS 768/QIC 710 Quantum Information Processing
      • QIC 750 Implementation of Quantum Information Processing
    • Note: CS 768/QIC 710 can be used to fulfill a CS requirement; QIC 750 will not fulfill a CS course requirement.
  • Link(s) to courses
  • Master's Seminar
    • Students must present their research topic in a publicly announced seminar.
  • Master’s Thesis
    • Student must complete a Master's thesis in Quantum Information.
  • Other requirements 
    • Fast-track admission to the PhD in Computer Science – Quantum Information: 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.