Overview

The Computational Linguistics programme at the University of British Columbia provides a specialized pathway for students to master the intersection of language and data. This intensive 10-month curriculum is designed to equip graduates with the technical skills required to build artificial intelligence capable of interpreting human communication. By combining foundational data science with advanced linguistic analysis, the programme prepares professionals for the evolving tech landscape.

Why Computational Linguistics at the University of British Columbia?

This programme offers a unique interdisciplinary approach, with courses delivered by expert faculty from the Department of Linguistics, Computer Science, and Statistics. Students benefit from a dual learning environment, sharing core modules with the broader data science cohort before moving into specialized, small-group sessions focused on linguistic computation. The curriculum is highly practical, featuring lab-oriented instruction and a dedicated eight-week capstone project. This final project allows students to apply their technical training to real-world datasets, gaining hands-on experience that is directly applicable to industry challenges.

Tuition Fee Breakdown

• International fee: CAD 57469 per year
• National fee: CAD 35853 per year

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

Syllabus

The curriculum is structured into four-week segments consisting of one-credit courses, followed by a major practical project. Modules may include:

• Data Science
• Linguistics
• Natural Language Processing
• Machine Learning
• Statistics
• High Dimensional Data Analysis
• Computational Methods in Statistics
• Data Mining
• Artificial Intelligence

Careers with Computational Linguistics

Graduates are prepared for high-demand roles within the technology and research sectors, specifically focusing on the development of human-language interfaces and AI systems. The programme focuses on turning language-related data into knowledge, a skill highly valued by global organisations working in natural language processing and machine learning. By completing the capstone project, students demonstrate their ability to handle real-life data sets, making them competitive candidates for positions as data scientists, computational linguists, and AI researchers.