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Mathematics and Statistics

Doctor of Philosophy (PhD)

Thesis-based program

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

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.

Thesis-based program

Students are required to prepare a thesis and successfully defend in an open oral defense.

Classroom delivery

Time commitment

Four years full-time; six years maximum

Supervisor

A supervisor is required, but is not required prior to the start of the program

Fees and funding

See the Graduate Calendar for information on fees and fee regulations, and for information on awards and financial assistance.

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Supervisors

Learn about faculty available to supervise this degree.
Please note: additional supervisors may be available. Contact the program for more information.


  1. Quan Long

    Quan Long

    Seeking Students
    Machine Learning , Biostatistics, Bioinformatics, Genetics and Multi-omics
  2. Xuewen Lu

    Xuewen Lu

    Accepting Inquiries
    Methodological Research in Statistics, Statistical Rresearch and Application in Medical, Health and Biological Sciences, Statistical Computing and Simulation, Big Data and Data Science
  3. Cristian Rios

    Cristian Rios

    Seeking Students
    Analysis of Partial Differential Equations
  4. Carlo Maria Scandolo_picture

    Carlo Maria Scandolo

    Accepting Inquiries
    Quantum information, quantum foundations
  5. David Scollnik

    David Scollnik

    Accepting Inquiries
  6. Deniz Sezer

    Deniz Sezer

    Seeking Students
    Spatio-temporal processes and applications to energy and finance
  7. Hua Shen

    Hua Shen

    Seeking Students
    Statistics and Biostatistics
  8. Anatoliy Swishchuk

    Anatoliy Swishchuk

    Accepting Inquiries
    financial mathematics, energy finance, stochastic processes, random evolutions and their applications, biomathematics, probability and statistics
  9. img

    Haixu Wang

    Seeking Students
    Machine learning, Functional data analysis, Generative models, Bayesian analysis, Data science
  10. Antony Tony Ware

    Antony (Tony) Ware

    Accepting Inquiries
    Quantitative and computational finance

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:

*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

Learn more about this program

Department of Mathematics and Statistics

Mathematical Science Room 462
612 Campus Place NW
Calgary, AB T2N 4V8
403.220-6299

Contact the Graduate Program Administrator

Visit the departmental website

 

Faculty of Science

Biological Sciences, Room 540
2500 University Drive NW
Calgary, AB T2N 1N4
403.220.8600

Visit the Faculty of Science website

 

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