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 rigorous academic foundation in modern engineering and machine learning. This degree is designed to bridge the gap between theoretical artificial intelligence and practical system development. Students learn to integrate complex AI methodologies into the design of devices, networks, and software applications.

The curriculum emphasises the ethical and safe deployment of technology, ensuring that graduates can lead responsible innovation in the tech sector. By combining core engineering principles with specialised AI training, the university prepares researchers and practitioners to solve contemporary challenges.

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

The University of Ottawa is ranked among the top ten research universities in Canada, providing a premier environment for graduate studies. Located in the nation's capital, the Faculty of Engineering offers access to cutting-edge facilities and a diverse research community. Students benefit from a strategic focus on shaping the digital world through innovation in robotics, autonomous systems, and cybersecurity.

The programme is unique for its concentration on applied AI, requiring at least 12 units of specialised coursework. This structure allows students to gain deep technical knowledge while fulfilling the requirements of a traditional engineering master's degree. Research activities are supported by expert faculty members, and students have the opportunity to conduct original research for their final thesis.

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

Modules may include:

• Applied Machine Learning
• Ethics for Design, AI, and Robotics
• Multimedia Communications
• Ubiquitous Sensing for Smart Cities
• AI-Enabled Wireless Networks
• Machine Vision
• Uncertainty Evaluation in Engineering Measurements and Machine Learning
• Mobile Robotics
• Deep Learning and Reinforcement Learning

Careers with Electrical and Computer Engineering - Applied Artificial Intelligence

Graduates are well-equipped to fill a variety of high-demand roles across industry, government, and academia. The programme develops the specific skills needed to manage AI-driven projects in sectors such as telecommunications, manufacturing, and software development. Common career paths include roles in machine learning engineering, robotics research, and system architecture.