Data Science Concordia University Montréal

Overview

The Data Science BCompSc at Concordia University Montréal provides a comprehensive education that merges computational theory with mathematical precision. Students learn to design innovative tools and algorithms capable of solving complex problems and predicting future trends through rigorous data analysis. This interdisciplinary approach ensures graduates possess the technical versatility required for modern scientific and industrial research.

Why Data Science at Concordia University Montréal?

• Access state-of-the-art laboratories dedicated to high-performance computing, artificial intelligence, and networks.
• Benefit from a highly engaging curriculum that balances theoretical instruction with practical, hands-on projects.
• Join an active student community that organises dedicated study groups, technical tutorials, and professional social events.
• Participate in the Gina Cody School’s initiatives to advance integrated technologies in a socially responsible manner.

Tuition Fee Breakdown

• International fee: CAD 1190 per credit
• National fee: CAD 420 per credit

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

Syllabus

The curriculum combines a major in computer science with a major in mathematics and statistics. Modules may include:

• Programming Methodology
• Computer Architecture
• Data Structures
• Operating Systems
• Software Engineering
• Symbolic Computation
• Combinations
• Mathematical Modelling

Careers with Data Science

Graduates are well-equipped for professional roles in diverse sectors that rely on heavy data processing and technical innovation. Potential career paths and industries include:

• Data Analysis and Mathematical Modelling
• Software Development and Design
• Quality Assurance and Systems Testing
• Research and Development in multi-disciplinary sciences
• Roles within major organisations such as McKesson Canada and NeuroRx Research