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postgraduate

Degree

Master of Quantitative Finance (Thesis)

postgraduate

Degree

Master of Quantitative Finance (Thesis)

Quick facts

  • Annual tuition (2022)

    $26,000 CAD

  • Application fee

    $125 CAD

  • Duration

    16 months

  • PGWP

    16 months

  • Min GPA

    80 out of 100

Deadlines

Term start& deadline Deadline
Fall-September 15-January-2024 2024-01-15

Overview

Master of Quantitative Finance

The Department of Statistics and Actuarial Science at the University of Waterloo is a top-tier academic unit among statistical and actuarial science globally. 

Students and faculty explore topics such as Actuarial Science, Biostatistics, Data Science, Quantitative Finance, Statistics, & Statistics-Computing.

Estimate your cost

Residency
Count of person

$34,579

Total costs

yearly

Details


Cost of living 1 person $7,359
Accommodation 1 bed room $8,579
Tuition 1 person $26,000

Hourly wage

Min wage

15.60 CAD / 1 hour

in Canada every student can work 20 hour per week

Required documents

  • Curriculum vitae
  • Supplementary information form (SIF)
  • Transcript(s)
  • SOP
  • 2 References
  • Proof of English language proficiency

Language requirements

GRE
not required
GMAT
not required

IELTS

7.5
-
listening
7
writing
7
speaking
-
reading

TOEFL

100
-
listening
26
writing
26
speaking
-
reading

PTE

68
-
listening
65
writing
65
speaking
-
reading

Cambridge

185
176
listening
176
writing
176
speaking
176
reading
Language pathway (conditional offer) is available

Conditional English language proficiency admission:
If you are applying to a graduate program, have supplied an ELP test but are slightly below the required score, conditional admission may be offered. 

If you are applying with a sponsorship that includes funding for English language studies, conditional admission may be offered.


Academic background and requirement

  • An overall 80% average from a Canadian University (or its equivalent).
  • A four-year honour's Bachelor's degree (or equivalent) with a strong background in quantitative methods. Such a background may be in mathematics, statistics, actuarial science, computer science, economics, engineering, physics, provided there is a strong component of high level mathematics in the program. Strong communication skills are also highly desirable.
  • An interview and diagnostic test may be required.

Career opportunities

  • Quantitative Research and Analysis.
  • Risk Management.
  • Trading
  • Data Science and Analytics

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