Linguistics York University

Overview

The Linguistics programme at York University provides an in-depth exploration into the natural organisation and patterns of human speech. Students investigate the complex relationship between the mind and language usage, gaining a scientific understanding of how children acquire communication skills without formal instruction.

Why Linguistics at York University?

Choosing this programme allows you to engage with core linguistic areas such as phonology, morphology, and sociolinguistics within a supportive academic environment. The university offers small class sizes that foster lasting relationships between students and expert professors. A distinctive feature of the curriculum is the opportunity for fourth-year students to participate in advanced research-based projects and hands-on experiential learning.

Students benefit from unique practical opportunities, such as conducting independent field work. This involves interacting with native speaker consultants to analyse languages they have not previously encountered. Additionally, the department hosts various lecture series and prestigious events, including the Linguistic Symposium on Romance Languages, providing vital exposure to the global research community.

Tuition Fee Breakdown

• International fee: CAD 41526 per year
• National fee: CAD 8536 per year

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

Syllabus

The curriculum is designed to provide both breadth and depth in the scientific study of language. Modules may include:

• Linguistics
• Writing: Process and Practice
• Modes of Reasoning: Techniques of Persuasion
• History of Evolution
• Knowledge, Truth and Reality
• Phonetics
• Phonology
• Syntax
• Psycholinguistics

Careers with Linguistics

Graduates are well-prepared for diverse professional paths across health, technology, and legal sectors. Many pursue specialised roles such as speech-language pathologists, audiologists, or communicative disorders assistants. The analytical skills gained also support careers in computational linguistics, data science, and artificial intelligence.