Statistics University of Toronto

Overview

The Statistics programme at the University of Toronto provides students with a comprehensive foundation in quantitative methodology and data analysis. This Honours Bachelor of Science (HBSc) degree prepares graduates to tackle complex challenges across diverse industries by mastering the principles of probability and mathematical modelling. Students can tailor their education through specialist, major, or minor options to suit their professional goals.

Why Statistics at the University of Toronto?

The university's statistics programmes are consistently ranked among the most prestigious globally, offering a world-class environment for academic growth. Students benefit from a flexible curriculum that can be paired with other disciplines such as health studies, economics, or psychology. Furthermore, the optional co-op stream provides eight to twelve months of paid, relevant work experience with prominent organisations like RBC and the Canada Revenue Agency.

Tuition Fee Breakdown

• International fee: CAD 63570 per year
• National fee: CAD 6100 per year

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

Syllabus

The curriculum covers theoretical foundations and practical computational techniques. Specialist students may choose focused streams in Statistical Machine Learning and Data Mining, Quantitative Finance, or Statistical Science. Modules may include:

• Linear Algebra I for Mathematical Sciences
• Computer Science I
• Computer Science for the Sciences
• Calculus I for Physical Sciences
• Calculus I for Mathematical Sciences
• Calculus II for Physical Sciences
• Calculus II for Mathematical Sciences
• International Development Studies
• Human Health and the Environment

Careers with Statistics

Graduates from this programme are highly sought after, with 94% of mathematics and statistics alumni finding employment within two years of finishing their studies. The analytical skills developed during the degree lead to successful roles in finance, technology, and consulting. Common career paths and industries include:

• Actuarial Analyst in insurance providers
• Business Analyst in telecommunications
• Associate Risk Consultant for high-tech manufacturers
• Data and Incentives Analyst in technology integration
• Consulting Associate for software developers
• Compensation Consulting firms

Many students also pursue further education in specialised fields such as Actuarial Science, Epidemiology, Bioinformatics, or Business Administration to enhance their professional expertise.