Students
Tuition Fee
CAD 15,602
Start Date
2026-08-01
Medium of studying
On campus
Duration
60 credits
Details
Program Details
Degree
Bachelors
Major
Actuarial Science | Mathematics | Statistics
Area of study
Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
CAD 15,602
Intakes
Program start dateApplication deadline
2026-08-01-
2027-01-01-
About Program

Program Overview


Program Overview

The Majeure en mathťmatiques is a 60-credit program that allows students to develop a strong foundation in mathematics. The program is designed to provide students with a comprehensive understanding of mathematical concepts and techniques, as well as the ability to apply them to real-world problems.


Course Structure

The program consists of a range of courses that cover various aspects of mathematics, including:


  • Algebra and geometry
  • Calculus and analysis
  • Statistics and probability
  • Mathematical modeling and optimization

Admission Requirements

To be eligible for the program, students must meet the following requirements:


  • Hold a diploma of college studies (DEC) in a relevant field
  • Have a minimum R-score of 20
  • Meet the language proficiency requirements (French or English)

Tuition Fees

The tuition fees for the program vary depending on the student's residency status:


  • Quebec residents: $2,177.05 per trimester (15 credits)
  • Canadian non-Quebec residents: $5,387.20 per trimester (15 credits)
  • International students: $15,602.05 per trimester (15 credits)

Career Opportunities

Graduates of the program can pursue a range of career opportunities, including:


  • Mathematician or statistician in industry or government
  • Data analyst or scientist
  • Actuary or risk manager
  • Teacher or professor of mathematics

Research Areas

The program provides students with the opportunity to engage in research projects in various areas of mathematics, including:


  • Pure mathematics (algebra, geometry, number theory)
  • Applied mathematics (mathematical modeling, optimization, statistics)
  • Computational mathematics (numerical analysis, scientific computing)

Faculty and Resources

The program is taught by a team of experienced faculty members who are experts in their fields. Students have access to a range of resources, including:


  • State-of-the-art computer facilities and software
  • Library and online resources
  • Research opportunities and internships

Additional Information

For more information about the program, including admission requirements, course structure, and career opportunities, please consult the university's website or contact the department directly.


See More
How can I help you today?