Computational Linguistics
Scholarships
Ranking
90th in the world for Linguistics (QS World University Rankings by Subject, 2023)
Download Brochure
Scholarships
Ranking
90th in the world for Linguistics (QS World University Rankings by Subject, 2023)
Download Brochure
Qualifications
Overview
Computational Linguistics combines linguistics, engineering, and science to evolve the way we use machines. It involves learning how to program 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.
- Explore computer science and AI programming, alongside language structure and theory, and human psychology.
- 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
Complete the compulsory courses for the Bachelor of Data Science, along with the following major courses:
100-level
200-level
300-level
- LING310 Linguistics Research Report
- LING315 Natural Language Processing
- COSC367 Artificial Intelligence
Plus any 30 points of courses chosen 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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