Data Science University of Victoria

Overview

The Data Science programme at the University of Victoria provides students with the technical expertise required to navigate the modern data-driven landscape. By combining rigorous mathematical foundations with advanced computational techniques, the curriculum prepares graduates to solve complex problems across various global industries. This degree ensures that students can apply analytical methods to real-world challenges effectively.

Why Data Science at University of Victoria?

The University of Victoria offers a distinctive learning environment that emphasises career-ready skills in artificial intelligence, modelling, and data visualisation. Students benefit from research-connected learning, working alongside faculty members who are actively addressing applied data challenges in health, technology, and the environment. The institution fosters a supportive academic community where collaboration is highly encouraged.

A significant advantage of studying here is the renowned Co-operative Education programme. This initiative allows students to engage in paid, career-related positions that integrate directly with their academic studies. With approximately 70 percent of co-op students receiving job offers before graduation, the university provides a clear pathway to professional success without the need to compete for a placement spot.

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 a strong technical base in software and statistics. Modules may include:

• Data Science
• Data Analysis
• Data Management and Presentation
• Mathematics
• Statistics
• Computer Science

Careers with Data Science

Graduates are well-equipped for high-demand roles in the global technology and business sectors. The programme prepares students for diverse professional paths, focusing on the ability to interpret and manage large datasets.

Beyond immediate employment, the rigorous academic training provides a solid foundation for those wishing to pursue advanced research or postgraduate studies. Graduates often continue their education in specialised fields such as computer science or advanced statistical modelling to further enhance their professional expertise.