Computing Science and Linguistics Simon Fraser University

Overview

The Computing Science and Linguistics programme at Simon Fraser University provides a unique interdisciplinary foundation for students interested in the mechanics of natural language. By combining technical expertise with linguistic theory, the curriculum prepares students to develop sophisticated systems that can interpret and model human communication. This joint major is delivered through the collaborative efforts of the School of Computing Science and the Department of Linguistics.

Students enrolled in this degree have the flexibility to pursue either a Bachelor of Arts or a Bachelor of Science, depending on their specific academic focus and career goals. The programme bridges the gap between human cognition and machine processing, offering a comprehensive look at how language functions within digital environments.

Why Computing Science and Linguistics at Simon Fraser University?

This programme stands out due to its collaborative nature, drawing on the combined strengths of the Faculty of Applied Sciences and the Faculty of Arts and Social Sciences. Simon Fraser University provides a robust academic environment where students benefit from diverse perspectives in both computing and the humanities. The joint delivery ensures that learners gain a balanced education, mastering both the mathematical rigour of computer science and the analytical depth of linguistic study.

Tuition Fee Breakdown

• International fee: CAD 37442 per year
• National fee: CAD 7502 per year

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

Syllabus

The curriculum integrates core concepts from multiple disciplines to provide a holistic understanding of language systems. Modules may include:

• Computing Science
• Linguistics
• Cognitive Psychology
• Artificial Intelligence
• Natural Language Representation
• System Construction

Careers with Computing Science and Linguistics

Graduates of this programme are well-equipped for roles in industries that rely on the interaction between humans and computers. The skills acquired during the degree are highly relevant for careers involving the construction and modelling of systems that represent natural language meaning. Potential career paths often involve work in artificial intelligence, software development, and speech recognition technology, where an understanding of both code and syntax is essential.