Supervisors
Learn about faculty available to supervise this degree.
Please note: additional supervisors may be available. Contact the program for more information.
Program overview
This course-based degree allows students to build on their undergraduate training to develop advanced skills under the guidance of award-winning, research-active faculty. You may study pure mathematics such as combinatorics, discrete mathematics, geometry, logic, number theory and cryptography, analysis, mathematical physics, probability and statistics. Or you may study applied mathematics and statistics, including industrial mathematics and operations research, with potential overlap with biology and medicine, medical imaging, oil and gas, software application development, finance and geoscience; biomedical and industrial statistics, actuarial science, environmental risk and big data analysis. Students have access to events hosted by the Pacific Institute for the Mathematical Sciences.
Completing this program
- Mathematics Courses: Topics may include measure and integration, analysis, algebraic geometry, number theory, scientific modelling and more.
- Seminars: In addition to required courses, students register in a research seminar in either actuarial science,mathematics, or statistics (depending on student's specialization).
- Statistics Courses: Topics may include probability, estimation, hypothesis testing and more.
- Project: All students will complete resulting in a written report.
Specializations
- Mathematics
- Biostatistics
- Statistics
- Actuarial Science
- Mathematical Finance
Outcomes
Universities and colleges, Government of Canada (Canadian citizens only), banking and finance, information technology and cybersecurity, energy, risk management and insurance, health, pharmaceuticals, environmental management, quantum computing, data analytics, medical imaging.
A course-based master’s degree in math and statistics is usually considered a final degree.
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Seeking StudentsMachine learning, Functional data analysis, Generative models, Bayesian analysis, Data science -
Accepting InquiriesQuantitative and computational finance -
Accepting InquiriesStatistics, Biostatistics -
Seeking StudentsMachine learning, High-dimensional data mining, Biostatistics, and Bioinformatics
Admission Requirements
GPA
A minimum of 3.0 GPA on a 4.0 point system, over the past two years of full-time study (a minimum of 10 full-course equivalents or 60 units) of the undergraduate degree.
Minimum education
Bachelor’s degree, or its equivalent, in the subject of the specialization to which the application is made, or a closely related area.
Work samples
None
Documents
None
Reference letters
Three
Test scores
None
English language proficiency
An applicant whose primary language is not English may fulfill the English language proficiency requirement in one of the following ways:
- Test of English as a Foreign Language (TOEFL ibt) score of 97 (Internet-based, with no section less than 20).
- International English Language Testing System (IELTS) score of 7.0 (minimum of 6.0 in each section).
- Pearson Test of English (PTE) score of 68, or higher (Academic version).
- Canadian Academic English Language test (CAEL) score of 70 (70 in some sections – up to the program, 60 in all other).
- Academic Communication Certificate (ACC) score of A- in one or two courses (up to the program), “B+” on all other courses.
- Cambridge C1 Advanced or Cambridge C2 Proficiency minimum score of 191.
*Please contact your program of interest if you have any questions about ELP requirements.
Deadlines
For admission on September 1:
Canadians and permanent residents: Jan. 15 application deadline
International students: Jan. 15 application deadline
If you're not a Canadian or permanent resident, or if you have international credentials, make sure to learn about international requirements
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