Computational Linguistics
Scholarships
Ranking
78th= in the world for Linguistics (QS World University Rankings by Subject, 2022)
Download Brochure
Scholarships
Ranking
78th= in the world for Linguistics (QS World University Rankings by Subject, 2022)
Download Brochure
Qualifications
Overview
Computational Linguistics combines linguistics, engineering, and science to evolve the way we use machines. It involves learning how to programme computers to analyse, synthesise, and understand spoken or written language.
Your studies will give you skills in computer modelling, speech processing, and machine learning allowing you to digitise language and evolve our interactions with machines.
- Learn from experts from a range of UC research centres.
- Practical learning using computer and software labs, human-computer interaction spaces and equipment.
See also Linguistics.
Computational Linguistics major
For the major in the Bachelor of Data Science, complete the following courses:
100-level
200-level
300-level
- LING310 Linguistics Research Report
- LING315 Natural Language Processing
- COSC367 Artificial Intelligence
You will also need to choose any 30 points of courses from the following:
The applications of computational linguistics are vast — from voice recognition tools, live translation devices, search engines, and many other technologies where humans and machines interact.
Some career pathways could include:
- Technology research and development
- Data analysis
- Software programming
- Artificial Intelligence engineering.
Find out more about what you can do with a degree in Data Science.
Contact us
For study planning help, please contact Professor Peyman Zawar-Reza:
Email peyman.zawar-reza@canterbury.ac.nz
Postal address
Te Kaupeka Pūtaiao | Faculty of Science
Te Whare Wānanga o Waitaha | University of Canterbury
Private Bag 4800
Christchurch 8140
New Zealand
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