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master

Degree

Master of Quantitative Finance (Thesis)

master

Degree

Master of Quantitative Finance (Thesis)

Quick facts

  • Tuition

    $12,039 CAD

  • Application fee

    $125 CAD

  • Duration

    2 years

  • PGWP

    2 years

  • Min GPA

    80 out of 100

Deadlines

Term start & deadline Deadline
Fall-September 15-January-2022 2022-01-15

Overview

Master of Quantitative Finance

Based in the Department of Statistics and Actuarial Science, this program is built upon the Finance program established in 1995 by founding director, renowned researcher Phelim P. Boyle.

The Master of Quantitative Finance (MQF) program focuses on the fundamental disciplines of mathematics, statistics, econometrics, machine learning, computer science and finance. It provides the analytical tools to solve practical problems in the complex and rapidly evolving world of today's financial industry.

Graduates from the Master of Quantitative Finance are equipped for positions with financial institutions, corporations and government regulatory organizations.

Careers include:

  • financial engineers in model vetting and risk compliance
  • analysts in portfolio credit risk, market risk, investment banking and audit
  • asset managers and portfolio managers
  • a range of positions requiring advanced skills in quantitative finance

Thesis option

This option is appropriate for students who are interested in research and/or pursuing a PhD. In addition to the thesis, this option requires a minimum of four courses including Finance 1 and 2 and two other courses selected in consultation with their faculty advisor. 

Students elect to do the thesis option during their first term in the program, when they also must choose an advisor. 

Estimate your cost

Residency
Count of person

$20,450

Total costs

yearly

Details


Cost of living 1 person $7,200
Accommodation 1 bed room $8,411
Tuition 1 person $12,039

Hourly wage

Min wage

15.50 CAD / 1 hour

in Canada every student can work 20 hour per week

Required documents

  • Résumé
  • Supplementary information form
  • Transcript(s)
  • References 
  • English language proficiency (if applicable)
  • Statement of interest
  • Passport and Visa

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

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

English for Academic Success (EFAS) is open to any university student or graduate who seeks increased proficiency in both spoken and written English. Prospective students should be at least at the Intermediate level.

 

 IntermediateHigh-intermediateAdvanced
Listening and
speaking

Able to participate
in general conversations.

Able to express opinions, likes/dislikes, etc.
in simple conversations.

Able to understand radio/television broadcasts.

Able to speak with confidence, but with grammatical errors and pronunciation errors.

Able to understand and participate in a wide variety of conversations.

Able to speak with confidence, while experiencing minor misinterpretations.

Reading and
writing

Able to read and understand short passages.

Able to write an organized paragraph.

Able to read and understand longer passages.

Able to write a short, organized essay.

Able to read a wide variety of articles/passages.

Able to write an organized essay and do some editing.

 


Academic background and requirement

  • 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.

Students from various disciplines are invited to apply for admission. Successful applicants have had backgrounds in quantitative fields such as actuarial science, computer science, economics, engineering, mathematics, physics and statistics.

GMAT and/or GRE scores are not required since we have our own entrance test.

  • A four-year honours degree (or equivalent) in a quantitative discipline with at least an 80% average
  • Strong analytical skills and ability to handle rigorous mathematical analysis
  • Programming skills: R, Matlab, Python and C++
  • Superior verbal and written communication skills
  • General knowledge of financial markets and economic

Career opportunities

  • Quantitative Research and Analysis.
  • Portfolio Management.
  • Programming and Software Development.
  • Risk Management.
  • Trading.
  • Data Science and Analytics.

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