University of Ottawa

Overview

The Master's in Computer Science – Applied Artificial Intelligence at the University of Ottawa is designed to equip students with advanced expertise in machine learning, data-driven methodologies, and AI systems. The program integrates a blend of rigorous coursework and practical research experiences, offering pathways that may include a thesis or a project-based approach.

What you'll study

The curriculum combines advanced graduate courses with hands-on applications. Students typically complete a set of core courses in AI and computing, followed by electives tailored to their interests. Depending on the chosen pathway, participants may also engage in either a thesis or a substantial project.

Typical course areas may include:

• Machine learning and data-driven methods
• Data integration and database design
• Knowledge representation and AI foundations
• Software engineering and software quality
• Security topics such as network security and cryptography
• Applied or domain-focused computing (e.g., medical computing)
• Information visualization and visual analytics
• Swarm intelligence and other advanced AI topics
• Ethics and responsible use of AI

Research component (pathway-dependent):

• Thesis option: Conduct research under the guidance of a faculty supervisor, culminating in a thesis and the completion of required academic milestones.
• Coursework + project option: Engage in a significant applied project that demonstrates technical proficiency and integrates the learning outcomes of the program.

Electives and specialization:

Electives offer opportunities to deepen knowledge in areas such as AI systems, security, data engineering, or specialized applications. Course availability may vary by term and faculty offerings.

Entry requirements

Applicants should possess a bachelor’s degree with honours in computer science or an equivalent qualification, with a minimum average of B (70%) required. There are no GRE/GMAT requirements for this program.

English language requirements:

• TOEFL iBT: 100
• PTE Academic: 60
• IELTS: 7.0

Career prospects