Electrical and Computer Engineering - Applied Artificial Intelligence University of Ottawa

Overview

The Electrical and Computer Engineering - Applied Artificial Intelligence programme at the University of Ottawa provides students with a comprehensive foundation in the responsible and effective integration of machine learning into device and network development. This curriculum ensures that graduates can safely leverage artificial intelligence methodologies while maintaining a focus on system design and engineering excellence.

Why Electrical and Computer Engineering - Applied Artificial Intelligence at the University of Ottawa?

The University of Ottawa offers a distinctive learning environment through its School of Electrical and Computer Science, where students benefit from a curriculum that balances technical theory with ethical practice. The programme is specifically designed to address the growing demand for engineers who can navigate the complexities of robotics, smart cities, and autonomous systems. Students have access to a supportive environment that encourages professional competence in technical English while allowing for work to be completed in either English or French.

Tuition Fee Breakdown

• International fee: CAD 1422 per credit
• National fee: CAD 396 per credit

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

Syllabus

Modules may include:

• Professional Skills and Responsibility
• Applied Machine Learning
• Ethics for Design, AI, and Robotics
• Multimedia Communications
• Ubiquitous Sensing for Smart Cities
• AI-Enabled Wireless Networks
• Machine Vision
• Mobile Robotics
• Deep Learning and Reinforcement Learning

Careers with Electrical and Computer Engineering - Applied Artificial Intelligence

Graduates of this concentration are prepared for a diverse range of career opportunities across industry, government, and academia. By combining research-led theory with practical application, the programme equips students to fill specialized roles in sectors such as telecommunications, autonomous vehicle development, and software engineering. The inclusion of a CO-OP option further enhances employability by providing selected students with paid work placements, allowing them to gain professional experience and build industry networks before graduation.