Supervisors
Learn about faculty available to supervise this degree.
Please note: additional supervisors may be available. Contact the program for more information.
Program overview
Doctoral students in mathematics and statistics contribute original thought to a discipline that has developed in richness and complexity from antiquity to the present day. Students will choose to focus on a pure mathematical area such as combinatorics, discrete mathematics, geometry, logic, number theory and cryptography, analysis or even mathematical physics; or on theoretical research in probability or statistics. Or you may choose to work in industrial mathematics and operations research, with application in biology and medicine, biomedical statistics, energy or financial markets, mathematical finance, actuarial science, geoscience, medical imaging, software and computer applications, and big data analysis.
Completing this program
- Mathematics Courses: Topics may include measure and integration, analysis, algebraic geometry, number theory, scientific modelling and more.
- Statistics Courses: Topics may include probability, estimation, hypothesis testing and more.
- Seminars: In addition to required courses, students register in a research seminar in either actuarial science, biostatistics, mathematics, or statistics (depending on student's specialization).
- Presentations: Students are required to give three invited or contributed presentations during the degree program.
- Preliminary Examinations: Doctoral students must pass written Preliminary Examinations no later than 18 months from the beginning of their program and before completing Candidacy.
- Candidacy: Students will complete both oral and written candidacy exams.
- Thesis: Students will be required to submit and defend an original research thesis.
Specializations
- Mathematics
- Statistics
- Biostatistics (Interdisciplinary)
- 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 PhD in math and statistics is usually considered a final degree.
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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
A master’s degree or equivalent in the subject of the specialization.
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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