Program type
Honours, Specialization
Statistics (BA, BSc)
Primary campus
Sir George Williams (SGW)
Duration
3 to 4 years
Start term
Fall, Winter
Experiential learning
Co-op
Why study Statistics?
Statistics is the science of information that lets you discover patterns behind data. As a statistician, your understanding of probability theory lets you make decisions in the face of uncertainty. Statisticians also conduct surveys, analyze data, devise new methods of analysis and give advice on the statistical results of experiments such as clinical trials. Though it’s impossible to predict the future with 100 per cent accuracy, studying statistics will teach you creative problem solving, abstract thinking and analytical skills.
When you study statistics, you learn to uncover the mathematical structure of random systems such as the economy, health and survival, the weather, and the stock market. You will also receive a solid foundation in linear algebra, calculus, probability and computational methods and learn to use professional software tools for mathematics and data analysis applications.
An undergraduate degree in statistics prepares students for graduate work in statistics or in a professional career in business, industry, medical research or government agencies.
Program highlights
- The Science First-Year Experience Program → for students from other Canadian provinces. Connect with other first-year science students and engage in interdisciplinary, research-based approaches to the foundational sciences. Learn more
Program structure
A Bachelor of Arts or Science degree takes a minimum of three or four years (90 – 120 credits) of full-time study, depending on your academic background.
Program options
- Honours in Statistics (66 credits)*
- Specialization in Statistics (60 credits)
*Admission is to the Specialization. Students in the specialization program seeking admission to the honours program may apply to the departmental honours advisor – normally following the completion of 30 credits.
Courses
Co-op program
The Co-op program gives you the chance to complete paid work terms that last 12 to 16 weeks. As a Co-op student, you will work for firms where you may:
- Update industry and market statistics
- Plan experiments
- Perform data analysis
- Develop databases
- Manipulate algorithms
- Test survey hypotheses
Admission criteria
Application deadlines
We consider complete applications year round and give priority to applicants who apply by official deadlines.
FALL TERM
March 1 is the deadline to apply for fall term entry. International students are encouraged to apply by February 1 to allow sufficient time for CAQ and study permit application processing.
Late applications will be considered if places are still available. Please check program availability for the term, before you start your application.
WINTER
November 1 is the deadline to apply for winter term entry. International students are encouraged to apply by September 1 to allow sufficient time for CAQ and study permit application processing.
Not all programs are available for winter term entry. Please check program availability for the term, before you start your application.
We reserve the right to close admission to a program at any time after the official deadline without prior notice.
Other programs of interest
Actuarial Mathematics (BA, BSc)
- Honours
- Specialization
- Co-op
If you want to learn how to predict the future, consider actuarial mathematics. Actuaries use their mathematical and statistical wizardry to solve problems involving risk and uncertainty.
Department
Department of Mathematics & Statistics
Faculty
Pure and Applied Mathematics (BA, BSc)
- Honours
- Specialization
- Co-op
Mathematics is a universal language that explains the currents of the ocean, string theory, the spiral of a snail’s shell or the growth of a fern.
Department
Department of Mathematics & Statistics
Faculty
Mathematics and Statistics (BA, BSc)
- Major
- Minor
Mathematics is a language that answers real-world questions in science and engineering. Statistics is the science of information.
Department
Department of Mathematics & Statistics
Faculty