Mathematics & Statistics (MA, MSc)
Program overview
Degree: Master of Arts (MA), Master of Science (MSc)
Prograem type: Thesis, Course-based
Duration: 2 years
Credits: 45 credits
An advanced degree in the mathematical sciences allows you to tackle complex problems in an array of fast-evolving fields. Our Department offers you a choice of supervisors from among over thirty faculty members with strong research profiles in a broad range of areas of mathematics and statistics. Concordia’s association with ALGANT, the ISM, the CRM, and MITACS opens the door to advanced courses at other Quebec universities, and to internships and collaborative projects in Canada and abroad. You will broaden your research network through seminars and presentations by leading researchers, and interaction with a diverse group of graduate students and postdoctoral fellows. By the end of the program, you will be ready to apply mathematical expertise to your chosen field of interest.
Program Details
Admission Requirements
- Bachelor's degree with Honours in Mathematics, Statistics, or equivalent.
- Proficiency in English. Applicants whose primary language is not English must demonstrate that their knowledge of English is sufficient to pursue graduate studies in their chosen field. Please refer to the English language proficiency page for further information on requirements and exemptions.
Degree Requirements
Fully-qualified candidates are required to complete a minimum of 45 credits.
Please see the Mathematics and Statistics Courses page for course descriptions.
Mathematics and Statistics MSc/MA (45 credits)
| 45 | credits chosen from: Mathematics and Statistics MA/MSc with Thesis (Option A) Mathematics and Statistics MA/MSc without Thesis (Option B) |
Mathematics and Statistics MA/MSc with Thesis (Option A) (45 credits)
| 18 | credits of coursework from the following categories: Mathematics History and Methods Courses Topology and Geometry Courses Analysis Courses Statistics and Actuarial Mathematics 600-level Courses Applied Mathematics Courses Algebra and Logic Courses Statistics and Actuarial Mathematics 700-level Courses |
| 27 | credits: |
| The choice of the option, the selection of the courses and the topic of the thesis, must be approved by the Graduate Program Director. |
Mathematics and Statistics MA/MSc without Thesis (Option B) (45 credits)
| 30 | credits of coursework from the following categories: Mathematics History and Methods Courses Topology and Geometry Courses Analysis Courses Statistics and Actuarial Mathematics 600-level Courses Applied Mathematics Courses Algebra and Logic Courses Statistics and Actuarial Mathematics 700-level Courses |
| 15 | credits:
|
All five Project courses are offered each term. Students are assessed on a pass/fail basis. The five Project courses may be completed at any point during the program. They must be taken in sequence and can be taken concurrently. |
Mathematics History and Methods Courses
| • MAST 651 The Contributions of Mathematics to Intellectual Life (3.00) • MAST 652 Topics in Research in Mathematics Education (3.00) • MAST 653 Topics in the Foundations of Mathematics (3.00) • MAST 654 Topics in the History of Mathematics (3.00) |
Topology and Geometry Courses
| • MAST 655 Topology (3.00) • MAST 656 Differential Geometry (3.00) • MAST 657 Manifolds (3.00) • MAST 658 Lie Groups (3.00) |
Analysis Courses
| • MAST 661 Topics in Analysis (3.00) • MAST 662 Functional Analysis I (3.00) • MAST 663 Introduction to Ergodic Theory (3.00) • MAST 664 Dynamical Systems (3.00) • MAST 665 Complex Analysis (3.00) • MAST 666 Differential Equations (3.00) • MAST 667 Reading Course in Analysis (3.00) • MAST 668 Transform Calculus (3.00) • MAST 669 Measure Theory (3.00) |
Statistics and Actuarial Mathematics 600-level Courses
| • MAST 670 Mathematical Methods in Statistics (3.00) • MAST 671 Probability Theory (3.00) • MAST 672 Statistical Inference I (3.00) • MAST 673 Statistical Inference II (3.00) • MAST 674 Multivariate Analysis (3.00) • MAST 675 Sample Surveys (3.00) • MAST 676 Linear Models (3.00) • MAST 677 Time Series (3.00) • MAST 678 Statistical Consulting and Data Analysis (3.00) • MAST 679 Topics in Statistics and Probability (3.00) |
Applied Mathematics Courses
| • MAST 680 Topics in Applied Mathematics (3.00) • MAST 681 Optimization (3.00) • MAST 682 Matrix Analysis (3.00) • MAST 683 Numerical Analysis (3.00) • MAST 684 Quantum Mechanics (3.00) • MAST 685 Approximation Theory (3.00) • MAST 686 Reading Course in Applied Mathematics (3.00) • MAST 687 Control Theory (3.00) • MAST 688 Stability Theory (3.00) • MAST 689 Variational Methods (3.00) |
Algebra and Logic Courses
| • MAST 691 Mathematical Logic (3.00) • MAST 692 Advanced Algebra I (3.00) • MAST 693 Algebraic Number Theory (3.00) • MAST 694 Group Theory (3.00) • MAST 696 Advanced Algebra II (3.00) • MAST 697 Reading Course in Algebra (3.00) • MAST 698 Category Theory (3.00) • MAST 699 Topics in Algebra (3.00) |
Statistics and Actuarial Mathematics 700-level Courses
| • MAST 720 Survival Analysis (3.00) • MAST 721 Advanced Actuarial Mathematics (3.00) • MAST 722 Advanced Pension Mathematics (3.00) • MAST 723 Portfolio Theory (3.00) • MAST 724 Risk Theory (3.00) • MAST 725 Credibility Theory (3.00) • MAST 726 Loss Distributions (3.00) • MAST 727 Risk Classification (3.00) • MAST 728 Reading Course in Actuarial Mathematics (3.00) • MAST 729 Selected Topics in Actuarial Mathematics (3.00) |
Thesis and Mathematical Literature
| • MAST 700 Thesis (27.00) • MAST 702 Project - Stage I (3.00) • MAST 703 Project - Stage II (3.00) • MAST 704 Project - Stage III (3.00) • MAST 705 Project - Stage IV (3.00) • MAST 706 Project - Stage V (3.00) |
Students may enter one of the two options below. The choice of the option, the selection of courses and the topic of the thesis, must be approved by the Graduate Program Director.
Students choose one of the following fields of study:
- Actuarial Mathematics & Mathematical Finance
- Analysis, Partial Differential Equations & Applied Mathematics
- Dynamical Systems
- Mathematical Physics & Differential Geometry
- Number Theory & Computational Algebra
- Statistics & Probability
Your completed application will include:
- Application form and Fee
- Curriculum Vitae (CV)
- Three Letters of Reference and assessment form
- Statement of purpose (maximum two pages) should:
- describe your research interests and past research experience, if any
- identify specific professors or research groups in the Department of Mathematics and Statistics with whom or which you want to work
- Transcripts for all post-secondary institutions attended
- Proof of Canadian citizenship (if applicable)
- Applicants whose primary language is not English, are required to submit official language test scores, unless exempted .
Please apply online. Read the how-to guide for application procedures.
| DEGREE |
FALL (September) |
WINTER (January) |
SUMMER (May/June) |
| Mathematics | MA/MSc | Feb. 1 | n/a | n/a |
Consult the graduate calendar for a complete list of courses and the the department site for current offerings.
The department offers financial support to approximately 25-30 full-time M.Sc. and Ph.D. students per year. It also awards internal scholarships through organized competitions. Some scholarships and bursaries are also available through ISM.
In addition, the Faculty of Arts and Science supports graduate students by awarding one-year Masters fellowships ($7,000). Other awards available through the faculty include:
- Concordia Merit Scholarship
- Concordia University Graduate Fellowship
- Harriet and Abe Gold Endowment
- Hydro-Quebec Graduate Award
- John W. O'Brien Graduate Fellowship
- Clara Strozyk Scholarship
- Out-of-Province Fee Remission Awards
Consideration for Entrance Awards is automatically part of the admissions process for all new students. We also encourage students seeking admission to our program to apply for funding from external sources in the final year of their undergraduate studies (e.g. NSERC, FRQNT).
Please also consult Concordia’s graduate funding page and Financial Aid and Awards.
Our faculty members specialize in several research areas:
- Actuarial Mathematics
- Algebra
- Analysis
- Applied Mathematics
- Dynamical Systems
- Financial Mathematics
- Geometry
- Mathematics Education
- Mathematical Physics
- Number Theory
- Probability
- Statistics
Learn more about each area of study and get to know our faculty members.
The Department is part of the Institut des sciences mathématiques (ISM), a unique centre of excellence for graduate training in Mathematics, combining the resources and expertise of the mathematics departments at the four Montreal-area universities, as well as Université de Sherbrooke and Université Laval.
The Department is also associated with the Centre de recherches mathématiques (CRM), a NSERC National Research Centre whose mission is to provide leadership in the development of mathematical sciences in Canada.
To foster interdisciplinary research and cross-specialty collaborations, we maintain close ties with the Department of Computer Science, as well as other departments and universities. A wide range of research seminars and lectures are held regularly throughout the year, many of them being organized in conjunction with other Montreal universities, the ISM and the CRM.
See what our students are working on. Review an inspiring list of thesis topics.
In addition to academic research, students who graduate with a master’s in mathematics find numerous career opportunities in different fields of expertise, such as:
- High school teaching
- Financial analysis
- Risk management
- Investment banking
- Software engineering
- Market research
- Management consultancy
- Operational research
- Data analysis
- Computer programming
- Scientific research and development
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