Wilfrid Laurier University Graduate Calendar - 2019/2020
Canadian Excellence

Master of Science in Mathematics

The Master of Science in mathematics offers students is a unique blend of pure and applied mathematics. Students learn and gain research experience in mathematics from both theoretical and practical points of view. The core subject matter includes pure mathematics, mathematical modelling, applied mathematics, statistics and data analytics.

Additional Information
 
Admission Requirements

To be admitted, a student must meet the general admission requirements of the University, and must have an honours degree in Mathematics or a closely related area that includes courses in advanced calculus, basic probability and statistics, linear algebra, and abstract algebra. A final year average of at least B+ is usually required, along with a cumulative average of at least B+ in all mathematics and statistics courses. Students with minor background deficiencies will be required to include specific undergraduate courses in their programs. At the discretion of the Graduate Officer, up to two such courses may be required in addition to normal requirements. Such students may require longer than normal to complete the program. A student whose background contains major deficiencies may be required to complete appropriate senior undergraduate courses in order to qualify for the Master's program. Normally minimum B+ standing is required in these courses.

 
Program Requirements

The MSc Mathematics program is normally completed in three consecutive terms, beginning in the Fall or the Winter terms. Full-time students must complete the program within two years of initial registration. To count a course or the Seminar toward the Master's degree, a student must obtain a grade of at least B-.

The MSc program is offered in three options: thesis option, project option and course-based option. 

All students who take the thesis option must complete MA680 - Seminar in Mathematical Modelling in Finance and Science, MA699 - Master's Thesis and three approved courses (1.5 credits). For the thesis option, at most 0.5 credits at the 500 level may be counted towards the program credit requirement.

All students who take the project option must complete MA680 - Seminar in Mathematical Modelling in Finance and Science, MA695 - Major Project, and five approved courses (2.5 credits).For the project option,at most 1.0 credit at the 500 level may be counted towards the program credit requirement.

All students who take the course-based option must complete MA693 - Graduate Seminar and eight approved courses (4.0 credits).

Students can take an optional field of concentration. There are three approved fields:

  • Financial Mathematics
  • Mathematical Modelling
  • Statistics and Data Analytics.

To complete a field, MA699 - Master's Thesis or MA695 - Major Project must be in the student's field of concentration. A maximum of one field is permitted as part of the MSc in mathematics degree. All fields of concentration require completion of a minimum 1.5 credits according to the following: 

Financial Mathematics: MA570 - Financial Mathematics in Discrete Time; two of MA647 - Monte Carlo and Simulation Methods, MA651 - Stochastic Analysis, MA670 - Financial Modelling and Derivative Pricing in Continuous Time, MA671 - Computational Methods in Finance

Mathematical Modelling: MA660 - Dynamical Systems; two of MA619 - Variational and Geometric Methods in Applied Mathematics, MA632 - Optimization, MA642 - Regression Analysis, MA647 - Monte Carlo and Simulation Methods, MA665 - Mathematical Biology.

Statistics and Data Analytics: MA641), MA642 - Regression Analysis; one of MA645 - Advanced Topics in Regression Analysis, MA647 - Monte Carlo and Simulation Methods. 

Students must develop their programs in consultation with the department; each student's program must be approved by the department in all cases.

The MSc may also be completed through part-time studies.