Last updated on 2025-04-29
Program Overview
The Bachelor of Science (BSc) in Data Science at the University of Victoria equips students with essential software, mathematics, and statistics skills necessary for gathering and interpreting data. This program is designed to address real-world problems, enabling students to apply their knowledge in various fields such as climate change, medicine, and sports analytics. Graduates will be prepared to make significant contributions to society by leveraging data to create impactful solutions.
Program Structure
The BSc in Data Science is structured to provide a comprehensive education over a four-year period. The program offers various options to cater to different student needs, including:
- Data Science (Honours)
- Data Science (Major)
- Data Science as a minor alongside another degree program
Students can choose to enter the program through either the Faculty of Engineering and Computer Science or the Faculty of Science. The program emphasizes hands-on learning and practical applications, preparing students for a dynamic career in data science.
Featured Experiences
- Hands-on learning opportunities to apply theoretical knowledge in practical settings.
- Collaboration with various departments, including Computer Science and Mathematics and Statistics.
- Options for co-op placements and internships to gain real-world experience.
Career Options
Graduates of the BSc in Data Science can pursue a variety of career paths in Canada, including:
- Data Analyst: Analyze data sets to identify trends and insights that inform business decisions.
- Business Intelligence Specialist: Develop strategies to improve business operations through data analysis.
- Database Administrator: Manage and maintain databases, ensuring data integrity and security.
- Statistician: Apply statistical methods to collect, analyze, and interpret data for various industries.
- Marketing Analyst: Use data to evaluate marketing strategies and improve customer engagement.
- AI Specialist: Develop and implement artificial intelligence solutions to enhance data processing.
- Data Visualization Architect: Create visual representations of data to communicate findings effectively.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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