Program Overview

Program Overview

The Master of Mathematics in Pure Mathematics Collaborative Quantum Information program is a unique opportunity for students to explore the boundary of mathematics and pure reason while learning about and engaging in world-leading research at the cutting edge of quantum information. This program is offered in collaboration with the Institute for Quantum Computing (IQC) and provides students with a strong and broad foundation in quantum information science.

Program Details

• Department/School: Pure Mathematics
• Faculty: Faculty of Mathematics
• Admit term(s): Fall (September - December), Winter (January - April)
• Delivery mode: On-campus
• Program type: Collaborative, Master's, Research
• Length of program: 12 months (full-time)
• Registration option(s): Full-time
• Study option(s): Master's Research Paper

Application Deadlines

• January 1 (for admission in September)
• January 1 (for admission in January of the following year)

Admission Requirements

• An honours bachelor's degree (or equivalent) in mathematics with at least a 78% standing.

Degree Requirements

• Review the degree requirements on the Graduate Studies Academic Calendar, including the courses that you can anticipate taking as part of completing the degree.
• Check out the institutional thesis repository to see recent submissions from the Department of Pure Mathematics graduate students.

Application Materials

• Program-specific questions (PSQ): These are questions specific to the program you’re applying to.
• Transcript(s)
• References: Three references are required, at least two academic.
• Proof of English language proficiency, if applicable: TOEFL 90 (writing 25, speaking 25), IELTS 7.0 (writing 6.5, speaking 6.5)

Tuition and Fees

• Visit the graduate program tuition page to determine the tuition and incidental fees per term for your program.
• Review living costs and housing.
• Review the funding graduate school resources for graduate students.

Career Opportunities

At the end of the program, students will be prepared to pursue further research at the PhD level for a career in the computer industry, teaching at the high school or college level, or in business, particularly finance.