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.
Students are responsible for reviewing the general information and regulations section of the Graduate Studies Academic Calendar.
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Admit term(s)
- Fall
- Winter
- Spring
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Delivery mode
- On-campus
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Program type
- Collaborative
- Master's
- Research
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Registration option(s)
- Full-time
- Part-time
- Study option(s)
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Minimum requirements
- An overall 78% average or its equivalent for undergraduate work.
- A four-year Honours Bachelor degree with a specialization in Mathematics, or in Science or Engineering with a strong concentration in mathematics.
- Students who have a strong academic record but who have some gaps in their Applied Mathematics background may be admitted subject to the requirement that they complete a selection of fourth year undergraduate courses as part of their graduate program.
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Application materials
- Résumé
- Supplementary information form
- Transcript(s)
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References
- Number of references: 3
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Type of references:
normally from academic sources.
- English language proficiency (ELP) (if applicable)
- Graduate Academic Integrity Module (Graduate AIM)
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Courses
- Students must complete 4 one-term (0.50 unit) graduate courses, satisfying a breadth requirement and Quantum Information core course requirement. Candidates for the MMath (thesis) degree must maintain a grade point average of at least 70% in their coursework. Besides the breadth and Quantum Information requirements, there are no other constraints on course selection.
- Breadth requirement: students are required to take 1 Computation course and 1 Differential Equations or Techniques course, from the following list:
- Computation:
- AMATH 740 Numerical Analysis
- AMATH 741 Numerical Solution of Partial Differential Equations
- Differential Equations:
- AMATH 751 Advanced Ordinary Differential Equations
- AMATH 753 Advanced Partial Differential Equations
- AMATH 777 Stochastic Processes in the Physical Sciences
- Techniques:
- AMATH 731 Applied Functional Analysis
- AMATH 732 Asymptotic Analysis and Perturbation Theory
- Computation:
- Quantum Information core course requirement: students are required to take the 2 Quantum Information core courses listed below. These interdisciplinary courses provide a strong foundation in quantum information science:
- QIC 710 Quantum Information Processing
- QIC 750 Implementation of Quantum Information Processing
- Students may not count more than 1 graduate course that is cross-listed with an undergraduate course for credit towards their MMath (thesis) degree. This restriction applies to all 600-level AMATH courses and any cross-listed courses offered by other departments.
- Courses are selected in consultation with the student's supervisor. Students are encouraged to select courses that will help them develop a broad knowledge of Mathematics and its applications: appropriate courses are often offered by other departments in the Faculties of Mathematics, Science and Engineering.
- Link(s) to courses
- Master’s Thesis
- The MMath thesis is a comprehensive study that contributes to the understanding of a research topic, either by relating various approaches in the literature or by developing new methods. An MMath thesis is not required to contain original results. However, it is not uncommon for students - particularly those who have had research experience as undergraduates - to obtain new results that lead to publication in the research literature. For University guidelines on co-authored material in Masters theses please visit the Graduate Studies Office website; additional departmental guidelines apply.
- The Master's thesis is read by a committee that consists of the thesis supervisor and two other faculty members who are knowledgeable about the research area. The supervisor and at least one of the other two committee members must be affiliated with the Department of Applied Mathematics.
- The thesis must be on a topic in Quantum Information. The supervisor must be an approved Quantum Information thesis supervisor. A list of approved supervisors can be found on the Institute for Quantum Computing website.
- The student will present their results in a thesis defence, which consists of a 20 minute presentation by the candidate, followed by detailed questioning by the committee members. The thesis should be provided to the Examining Committee at least two weeks before the defence date.
