Mathematics and Statistics Concordia University Montréal

Overview

The Mathematics and Statistics programme at Concordia University Montréal provides students with a sophisticated language to solve complex real-world challenges. By combining these two vital disciplines, the curriculum offers a robust framework for interpreting numerical data across scientific, engineering, and business applications.

This degree is specifically structured for those aiming to enter the professional workforce immediately after graduation. Students explore the mathematical foundations of random systems, gaining insights into the economy, stock markets, and weather forecasting. The training ensures a deep understanding of how numerical structures influence global industries.

The curriculum focuses on building a versatile skill set that includes proficiency in professional software for data analysis.

Why Mathematics and Statistics at Concordia University Montréal?

Students benefit from a learning environment that emphasises the applicable nature of mathematical sciences. The programme is delivered at the Sir George Williams campus, situated in the heart of a vibrant city known for its scientific and economic activity. This central location provides a dynamic backdrop for academic growth.

The faculty focuses on teaching mathematics as a tool for critical thinking and problem-solving. Distinctive features include the use of industry-standard software throughout the coursework, ensuring students are technologically adept. This practical approach bridges the gap between abstract theory and the requirements of the global job market.

Tuition Fee Breakdown

• International fee: CAD 1075 per credit
• National fee: CAD 420 per credit

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

Syllabus

The Major consists of a core foundation designed to provide a broad background in mathematical sciences. Modules may include:

• Linear Algebra
• Calculus
• Probability
• Number Theory

Students may also explore specialised topics through elective groups. These focused areas of study allow for further customisation of the degree based on individual career goals. Modules may include:

• Quantitative Finance
• Insurance

Careers with Mathematics and Statistics

Graduates are well-equipped for diverse professional paths that require high-level analytical and statistical expertise. Many alumni find success in roles that involve interpreting complex data sets to inform strategic decision-making. The skills acquired are highly transferable across multiple high-growth sectors.

Common career destinations for graduates include positions in biostatistics, data analysis, and scientific research. Many individuals also pursue opportunities within government agencies or work as consultants in management and statistics. The programme also provides a strong foundation for roles in software development and survey analysis.

Industries such as finance, healthcare, and public policy frequently seek the expertise of those trained in these disciplines. Whether working for polling agencies or in corporate strategy, graduates apply their knowledge to solve practical problems. The degree ensures readiness for the evolving demands of the global economy.