Students
مصاريف
CAD 15,602
تاريخ البدء
2026-08-01
وسيلة الدراسة
داخل الحرم الجامعي
مدة
60 credits
حقائق البرنامج
تفاصيل البرنامج
درجة
درجة البكالوريوس
تخصص رئيسي
Actuarial Science | Mathematics | Statistics
التخصص
لسانيات
نوع التعليم
داخل الحرم الجامعي
توقيت
لغة الدورة
إنجليزي
مصاريف
متوسط ​​الرسوم الدراسية الدولية
CAD 15,602
دفعات
تاريخ بدء البرنامجآخر موعد للتسجيل
2026-08-01-
2027-01-01-
عن البرنامج

نظرة عامة على البرنامج


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.


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