Actuarial Science and Quantitative Finance - Doctor of Philosophy (PhD)

Mathematics 3 Building

Mathematics 3 (M3) building on À¶Ý®ÊÓƵ's main campus

Join a vibrant research environment and generate new knowledge in one of our four areas of study with the PhD in Actuarial Science and Quantitative Finance.

You'll be best suited to this program if you have completed a master’s or bachelor’s degree in statistics, actuarial science, mathematics, or other quantitative disciplines.

The program focuses on research areas including actuarial science practice, actuarial science theory, finance and probability. Ìý

At the end of the program, you’ll have top-notch qualifications to pursue a career in academia, business, industry, government agencies, or research organizations. Our graduates are in demand and enjoy high degrees of job satisfaction.

Research fields

  • Actuarial Science Practice
  • Actuarial Science Theory
  • Finance
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Program overview

Department/School: Statistics and Actuarial Science
Faculty: Faculty of Mathematics
Admit term(s): Fall (September - December)
Delivery mode: On-campus
Program type: Doctoral, Research
Length of program: 48 months (full-time)
Registration option(s): Full-time, Part-time
Study option(s): Thesis

Application deadlines

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

Key contacts

Request more information

Chris Salahub

...I’ve learned so much in this field. À¶Ý®ÊÓƵ has given me so many opportunities to tell stories with data, and I’m excited to see where it takes me.

Chris Salahub, Actuarial Science, PhD

Supervisors

  • Review theÌýfinding a supervisor resources.
  • Before applying to the program, students are strongly advised to establish contact with potential supervisors.

Admission requirements

  • A master's degree in statistics, actuarial science,Ìýor mathematics, completed or expected.Ìý
    • Note: graduates of other quantitative and mathematically oriented programs are also encouraged to apply; this includes, but is not restricted to, graduates of commerce, economics, engineering, finance, and any of the physical sciences. The department graduate committee will determine the suitability of each student’s background for success in this program.
  • Students with an undergraduate degree in statistics, actuarial science, or mathematics may apply for admission directly to the PhD program. Successful applicants will have an outstanding academic record, and very strong letters of recommendation.
  • At least an overall 78% average from a Canadian university (or its equivalent).
  • An interview may be required.

Degree requirements

  • Review theÌýdegree requirementsÌýin the Graduate Studies Academic Calendar, including the courses that you can anticipate taking as part of completing the degree.
  • Check outÌýÌýto see recent submissions from the department of Statistics and Actuarial Science graduate students.

Application materials

  • Resume
  • Supplementary information form (SIF)
    • The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review theÌýapplication documents web pageÌýfor more information about this requirement.
    • If a statement or letter is required by your program, review theÌýwriting your personal statement resourcesÌýfor helpful tips and tricks on completion.
  • Transcript(s)
  • References
    • ThreeÌýreferences, normally from academic sources.
  • Proof ofÌýEnglish language proficiency, if applicable
    • TOEFL 90 (writing 25, speaking 25), IELTS 7.0 (writing 6.5, speaking 6.5)

Tuition and fees