Data Science University of British Columbia

Overview

The Data Science programme at the University of British Columbia provides students with a rigorous interdisciplinary education designed to meet the growing global demand for data-driven decision-making. By combining the analytical depth of statistics with the computational power of computer science, the curriculum prepares graduates to manipulate, visualise, and interpret vast datasets efficiently. Students benefit from a globally recognised qualification that balances theoretical foundations with practical, real-world applications.

This degree is hosted by the Irving K. Barber Faculty of Science and emphasises experiential learning through dedicated research facilities. Participants have the opportunity to engage with cutting-edge projects in the Statistical Machine Learning Laboratory or the Laboratory for Data Visualization.

Why Data Science at University of British Columbia?

Choosing this programme allows students to build a broad professional foundation within a high-demand field frequently cited for excellent work-life balance. The university provides unique opportunities for undergraduate research, highlighted by an annual conference where students showcase their findings. Additionally, the Quantitative Sciences Course Union and the Women in Science and Engineering (WiSE) mentoring program offer vital peer support and networking platforms.

Tuition Fee Breakdown

• International fee: CAD 51041 per year
• National fee: CAD 6079 per year

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

Syllabus

The curriculum is structured to guide students from fundamental scientific principles to advanced analytical modelling. Modules may include:

• Computer Programming
• Differential Calculus with Applications to Physical Sciences and Engineering
• Discrete Structures
• Data Structures
• Data Analytics
• Machine Learning
• Databases
• Network Science
• Modelling and Simulation

Careers with Data Science

Graduates are well-equipped for diverse roles across numerous sectors, including business intelligence, national security, and online commerce. Common career paths include becoming a data engineer, marketing analyst, or financial risk manager. The skills acquired are also highly applicable in industries such as defence, counter-terrorism, gaming, and information technology, where data-driven insights are critical for strategic success.