Concordia University is a public research university located in Montreal, Quebec, Canada. Founded in 1974 following the merger of Loyola College and Sir George Williams University, Concordia is one of the three universities in Quebec where English is the primary language of instruction. We’re a next-generation university, continually reimagining the future of higher education. Located in the vibrant and multicultural city of Montreal, Concordia is the top-ranked university in North America founded within the last 50 years and annually registers some 51,000 students through its innovative approach to experiential learning and cross-functional research.

As a next-generation university, Concordia sets its sights further and more broadly than others. We align the quality of learning opportunities to larger trends and substantial challenges facing society. We pursue technology without losing sight of our humanity. We find inspiration through narrative and dialogue.

Concordia University offers a program in Mathematics and Statistics that leads to either a Bachelor of Arts (BA) or Bachelor of Science (BSc) degree. This program combines the study of mathematical theory and statistical methods to provide students with a strong foundation in both disciplines. The program prepares students for careers in fields such as data analysis, actuarial science, finance, or further study in mathematics, statistics, or related fields. While the specific courses and requirements may vary, here is a general overview of what the Mathematics and Statistics program at Concordia University might include:

Core Mathematics Courses: The program typically begins with core mathematics courses that provide a foundation in mathematical theory and techniques. These courses may cover subjects such as calculus, linear algebra, discrete mathematics, differential equations, and mathematical modeling. These courses provide the necessary mathematical background for advanced studies in mathematics and statistics.

Core Statistics Courses: Core statistics courses introduce students to the fundamental principles and methods of statistical analysis. Topics covered may include probability theory, statistical inference, regression analysis, experimental design, and multivariate analysis. These courses provide the necessary statistical knowledge and skills to analyze and interpret data.

Advanced Mathematics Courses: Advanced mathematics courses build upon the core mathematics courses and delve deeper into advanced topics. These courses may cover areas such as real analysis, abstract algebra, numerical analysis, complex analysis, mathematical logic, or topology. Students gain a deeper understanding of mathematical concepts and develop problem-solving skills.

Applied Statistics Courses: Applied statistics courses focus on the practical application of statistical methods to real-world problems. Students learn about topics such as statistical modeling, data visualization, time series analysis, nonparametric methods, or statistical software tools. These courses emphasize the application of statistical techniques to analyze and interpret data in various fields.

Probability Theory: Probability theory courses explore the mathematical theory behind random events and uncertainty. Students learn about concepts such as random variables, probability distributions, conditional probability, stochastic processes, and mathematical modeling of random phenomena. These courses provide the theoretical foundation for understanding and working with probability and uncertainty.

Electives: The program may offer a range of elective courses that allow students to specialize in specific areas of interest within mathematics and statistics. These electives may cover topics such as mathematical optimization, mathematical finance, data mining, Bayesian statistics, or computational statistics.

Capstone Project: Many programs include a capstone project or a senior seminar where students apply their mathematical and statistical knowledge to solve real-world problems or conduct independent research. The capstone project may involve data analysis, mathematical modeling, or statistical inference in a specific application area.

Please note that the specific courses and requirements for the Mathematics and Statistics program at Concordia University may differ from what is outlined above. It's important to visit the official Concordia University website or contact the university directly for the most accurate and up-to-date information about their Bachelor of Arts or Bachelor of Science in Mathematics and Statistics program.

You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

• Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
• Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it