Computer Science - Applied Artificial Intelligence University of Ottawa

Overview

The Computer Science - Applied Artificial Intelligence at the University of Ottawa provides a comprehensive curriculum that merges theoretical foundations with practical research skills. This Master's degree is designed to equip students with the analytical expertise required to implement complex algorithms and derive meaningful insights from diverse datasets. Students benefit from a collaborative academic environment that fosters innovation in the rapidly evolving field of AI.

Why Computer Science - Applied Artificial Intelligence at the University of Ottawa?

This programme is offered through the Ottawa-Carleton Institute for Computer Science, a unique partnership between the University of Ottawa and Carleton University. This collaboration provides students with access to a broader range of faculty expertise, research facilities, and graduate courses across both institutions. Located in Canada’s capital, the university ranks among the top research-intensive schools in the country, offering a strategic advantage for those looking to shape the digital world. Students can choose between a thesis-based stream or a coursework and project option, with opportunities to participate in a competitive co-op programme to gain professional experience.

Tuition Fee Breakdown

• International fee: CAD 10502 per semester
• National fee: CAD 3154 per semester

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

Syllabus

The curriculum is structured to ensure proficiency in core AI disciplines while allowing for specialised electives. Modules may include:

• Machine Learning
• Ethics for Artificial Intelligence
• Data Integration
• Knowledge Representation
• Network Security and Cryptography
• Software Quality Engineering
• Advanced Data Structures
• Swarm Intelligence
• Information Visualization and Visual Analytics

Careers with Computer Science - Applied Artificial Intelligence

Graduates are prepared for a wide range of high-level roles in the technology sector and beyond. The programme develops strong analytical skills, enabling professionals to work effectively as machine learning engineers, data scientists, and AI researchers. By focusing on applied skills and data-driven discovery, the curriculum ensures that graduates can communicate complex technical results effectively in various professional settings. The inclusion of a co-op option further enhances employability by connecting students with industry partners during their studies.