Mathematics and Statistics Concordia University Montréal

Overview

The Mathematics and Statistics programme at Concordia University Montréal provides students with the advanced analytical tools required to solve complex problems in rapidly evolving scientific sectors. This graduate degree offers a choice between a research-heavy thesis option and a comprehensive course-based stream.

Candidates benefit from a vibrant academic environment featuring over thirty faculty members with distinguished research profiles. The department maintains strong links with prestigious organisations such as the Centre de Recherches Mathématiques and MITACS, facilitating high-level collaborative projects and professional internships.

Students broaden their professional networks through regular seminars and interactions with a diverse community of postdoctoral fellows and researchers.

Why Mathematics and Statistics at Concordia University Montréal?

The institution offers a distinctive teaching environment through its association with major mathematical networks like ALGANT and the Institut des Sciences Mathématiques. These partnerships allow students to access advanced courses at other universities across Quebec, significantly expanding their educational horizons.

Facilities at the Sir George Williams campus support intensive study and research, while the faculty provides expert guidance in a broad range of specialisations. The programme's structure is designed to foster both theoretical depth and practical application through various research and internship opportunities.

Tuition Fee Breakdown

• International fee: CAD 691 per credit
• National fee: CAD 315 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Contributions of Mathematics to Intellectual Life
• Research in Mathematics Education
• Foundations of Mathematics
• History of Mathematics
• Topology
• Differential Geometry
• Manifolds
• Lie Groups
• Analysis
• Functional Analysis I
• Ergodic Theory
• Dynamical Systems
• Group Theory
• Advanced Algebra II
• Category Theory
• Algebra
• Survival Analysis
• Actuarial Mathematics
• Pension Mathematics
• Portfolio Theory
• Risk Theory
• Credibility Theory
• Loss Distributions
• Risk Classification

Careers with Mathematics and Statistics

Graduates are prepared for high-level roles in sectors requiring sophisticated data analysis and mathematical modelling. The programme equips students with the skills needed for careers in actuarial science, statistical research, and various industrial applications of mathematics.

The curriculum's focus on research and practical problem-solving ensures that alumni are competitive in both academic and professional environments. Many graduates pursue further doctoral studies or secure positions within global research organisations and financial institutions.