13 Statistics Degree Programs in Canada

Data Science is a broad field that encompasses the generation and analysis of data.

Statistics involves collecting, analyzing, and interpreting data, and calls for strong mathematical skills and an interest in problem-solving. Statistics and statistical modelling are essential and in-demand skills that are used in many types of research and industries, from science and medicine to economics and finance.

Statistics involves collecting, analyzing, and interpreting data, and calls for strong mathematical skills and an interest in problem-solving. Statistics and statistical modelling are essential and in-demand skills that are used in many types of research and industries, from science and medicine to economics and finance.

The Department of Mathematics and Statistics provides undergraduate and postgraduate instruction and training in pure mathematics, applied mathematics, and statistics. A Bachelor of Science degree is available in Mathematics, as well as joint BSc degrees in Mathematics and Physics, Economics and Mathematics, Chemistry and Mathematics, and Computer Science and Mathematics.

Bachelor of Science (BSc) in Biology and Mathematics and Statistics, this combined program uses mathematics and statistics to model and analyze significant biological research questions. Strengthen your talent for math or statistics. Gain powerful tools that will make you a strong analyst.

Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. In a world that is increasingly data-driven, knowing how to extract and interpret information is key. Statistics help evaluate ideas, test hypotheses and give clarity to complex issues. If your passion is the environment, statisticians help manage our natural resources and understand the impact of climate change.

Mathematics is often described as the "queen of the sciences". It is essential to many fields, including engineering, finance, medicine, economics and the natural sciences. Math is everywhere! It is used to secure your data when you enter it online, in fraud detection, to understand medical scans, in weather prediction, for modeling wildfires and for creating efficient networks for security systems or air traffic. Studying mathematics trains you to think critically and develops strong problem-solving skills.

The focus of our courses is on the broad understanding of the statistical methods and computational and presentation skills for statistical problem-solving. We also develop students’ ability to systematically think about how to describe the world around us and use data to make decisions and predictions. Statistical research methodology and associated analysis techniques aimed at a non-mathematical audience (non-calculus based). This course introduces procedures that are most commonly used in the investigation of survey and experimental data.

Good health care decisions depend on good data. But there’s a crucial shortage of people with the right skills to make sense of statistical information. Step into that gap with a Biostatistics degree from Waterloo — the only one of its kind in Canada.

In Computational Mathematics you’ll study the intersection of mathematics, statistics, optimization, and computer science, to solve problems in business, finance, medicine, science, and technology. You'll learn to analyze data sets, formulae, and images in ways that help us understand the world around us and predict and influence the future.

Why do we think, feel and behave the way we do? Psychology is central to our understanding of human behaviour, from our biological foundations to our social processes. This program provides learning opportunities and research experience in many fields within psychology including cognition, abnormal psychology, statistics, gender and sexuality, health, human development, law, and sensation and perception. A psychology degree leads to limitless career paths by equipping you with in-demand transferable skills that prepare you for success across many fields.

The main goal of this learning module is to discuss phase transitions and critical phenomena in statistical physics. We introduce the ideas of mean-field theory and renormalization group and exploit them to calculate the critical exponents for the Ising model. More advanced topics concern the models with continuous symmetry, topological phase transitions, as well as Monte Carlo simulations.

Use your understanding of mathematical concepts to solve complex problems in engineering, medicine, business, and science, from the behaviour of ocean waves to the structure of space-time.In Applied Mathematics, you’ll deepen your knowledge of calculus and differential equations: the foundation for most mathematical models. You’ll have lots of opportunity to put those tools to work on real-life problems — in the classroom and, if you choose co-op, during your work terms.