Computing Science University of Alberta

Overview

The Computing Science programme at the University of Alberta provides students with a rigorous academic environment to pursue advanced research and professional development in the field of technology. This Master of Science degree is structured to accommodate different career goals through two distinct academic routes. Students can choose between a research-intensive thesis-based path or a comprehensive course-based curriculum, ensuring a tailored educational experience that meets the demands of the global tech industry.

Why Computing Science at the University of Alberta?

The university is a recognised leader in innovation, particularly in the field of Artificial Intelligence and technical research. Students benefit from a rich academic heritage and a commitment to excellence in graduate studies. The department provides a supportive environment for both domestic and international scholars, fostering a culture of discovery and high-level problem solving within the College of Natural and Applied Sciences.

Tuition Fee Breakdown

• International fee: CAD 10519 per year
• National fee: CAD 4924 per year

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

Syllabus

The curriculum is designed to provide a deep understanding of complex computational systems and research methodologies. Depending on the chosen route, students will engage with a variety of graduate-level modules. Modules may include:

• Teaching and Research Methods
• Essay in Computing Science
• Special Topics
• Graduate Computing Science

The thesis-based route requires the completion of 15 units of coursework alongside a substantial research thesis and a technical seminar. The course-based route focuses on 30 units of graduate-level study, culminating in a 6-unit capstone project that demonstrates practical and theoretical proficiency.

Careers with Computing Science

Graduates from this programme are well-equipped for senior roles in various sectors of the technology industry. The advanced training in research and technical application prepares students for careers in software engineering, data analysis, and systems architecture. Many graduates also progress into doctoral studies or take up leadership positions in research and development centres, contributing to advancements in artificial intelligence and computational theory on a global scale.