Statistics University of Victoria

Overview

The Statistics programme at the University of Victoria provides students with a deep understanding of how to interpret the world through data. By combining theoretical foundations with practical applications, the curriculum ensures that graduates are prepared to solve complex problems in science, business, and government sectors.

Why Statistics at University of Victoria?

Choosing this subject at the University of Victoria allows students to benefit from a flexible academic structure where they can shape their degree around specific interests. The institution provides exceptional support through the Math & Stats Assistance Centre, offering free tutoring to help students master challenging concepts and prepare for examinations.

Students also have the opportunity to engage with a vibrant academic community, including the Undergraduate Mathematics and Statistics Club and the Association for Women in Mathematics. These organisations foster a collaborative environment where learners can develop computational skills and evidence-based decision-making capabilities alongside their peers.

Tuition Fee Breakdown

• International fee: CAD 35448 per year
• National fee: CAD 6414 per year

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

Syllabus

The curriculum is designed to build proficiency in designing experiments and communicating results clearly. Students can choose to focus on applied statistics for real-world problem solving or theoretical statistics for a stronger mathematical grounding. Modules may include:

• Applied Statistics
• Theoretical Statistics
• Mathematical Foundations
• Data Analysis
• Experimental Design
• Computational Skills
• Biology and Mathematics and Statistics
• Computer Science and Statistics
• Mathematics and Statistics

Careers with Statistics

Graduates from the University of Victoria are highly sought after in data-driven industries where the ability to interpret complex information is essential. The skills acquired during the programme prepare students for diverse professional paths across both public and private sectors.

The programme also provides a strong foundation for roles in health and medical research, environmental science, and public policy. Graduates often find success in fields such as finance, computing, and government, where statistical thinking powers modern technologies like search algorithms and climate modelling.