Computational and Applied Mathematics and Statistics Carleton University

Overview

The Computational and Applied Mathematics and Statistics programme at Carleton University provides students with the technical expertise required to address sophisticated challenges in science, business, and government. This degree focuses on the practical application of mathematical theories and computational techniques to real-world scenarios. Students learn to navigate the intersection of data science and traditional mathematics to drive innovation.

The curriculum is designed to foster analytical thinking and technical proficiency. By integrating computer science with advanced statistical methods, the programme ensures that graduates are prepared for the evolving demands of the global digital economy.

Why Computational and Applied Mathematics and Statistics at Carleton University?

Carleton University offers this programme as an Honours degree, providing a high level of academic rigour and specialised knowledge. Students benefit from a flexible structure that includes three distinct concentrations: Applied Analysis, Applied Statistics and Probability, and Discrete Mathematics. These pathways allow for tailored learning based on individual career goals and interests.

The institution provides a robust Co-op option, allowing students to gain professional experience before graduation. This work-integrated learning approach helps develop vital employability skills and establishes industry connections. Located in Canada’s national capital, the university offers a unique environment for studying the applications of mathematics in public policy and high-tech industries.

Tuition Fee Breakdown

• International fee: CAD 56274 per year
• National fee: CAD 8860 per year

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

Syllabus

The curriculum covers a broad range of topics from theoretical foundations to advanced computational applications. Modules may include:

• Combinatorial Optimization
• Mathematical Cryptography
• Applied Analysis
• Applied Statistics and Probability
• Discrete Mathematics
• Network Flow Problems
• Elliptic Curve Cryptosystems
• Approximation Algorithms

Careers with Computational and Applied Mathematics and Statistics

Graduates are well-equipped for roles that require high-level quantitative analysis and computational problem-solving. The solid foundation in mathematics and statistics provides a competitive advantage in various modern industries. Many alumni find success in sectors that rely heavily on data-driven decision-making and algorithmic development.

Common career paths for graduates of this programme include:

• Data Management
• Finance
• Insurance
• Public Health Modelling
• Environmental Science Prediction
• Resource Allocation Management