Studyportals

Computational Linguistics

University of Wolverhampton

M.A.
12 months
Duration
13650 GBP/year
6400 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The MA in Computational Linguistics at University of Wolverhampton is a course run by a leading research group at the University of Wolverhampton. As a Masters student on this course, you will be part of our Research Institute of Information and Language Processing (RIILP), an independent, research-driven University unit specialising in Linguistics and Natural Language Processing.

Overview

As the name suggests, Computational Linguistics (sometimes called Natural Language Processing) is the use of computers to study language. 

On the MA in Computational Linguistics at University of Wolverhampton, you will be able to study:

  • How to use Python and the well-established NLTK library to process natural language texts;
  • How to analyse real language usage;
  • How to automatically translate text using computer programs;
  • The use of computers to study features of language;
  • Translation tools such as translation memory systems;
  • Computer techniques for automatically classifying natural language texts;
  • Understand how Siri, Amazon Echo and Google Home etc. work;
  • How to design an experiment that will thoroughly test your research questions.

You will be mentored through this programme by experienced and leading academics from the field. Join our research group today to become part of this team of leading researchers and academics and create your path to a career in computers and language!

Potential Career Paths

Graduates of this course will be well-placed to continue their academic/research careers by applying for PhD positions within RIILP or at other leading centres for language and information processing. 

This degree will also enable graduates to access research and development positions within the language processing and human language technology industries, as well as in related areas such as translation, software development and information and communication technologies, depending on their specific module choices and dissertation topic. 

It should be noted that computer programming is a skill that is increasingly sought after by many companies from technological backgrounds and skills gained from this course will place graduates in a good position to take up such posts. 

Past graduates from this course have also gone on to successful careers specifically within the computer programming industry.

Programme Structure

Course include:

  • Computational Linguistics
  • Corpus Linguistics with R
  • Dissertation
  • Machine Learning for
  • Python Programming
  • Research Methods
  • Machine Translation
  • Translation Technology

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

More details

Direct applications can be made any time prior to the course start date but we will need sufficient time to process it.

Language

English

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

  • The entry requirement would normally be a 2:1 undergraduate degree in a computer science, linguistics, translation, languages or mathematics. Exceptionally, a 2:2 would be considered upon a successful interview. 
  • Students with a linguistics or language-related discipline but without a background in computer science would be appropriately advised by the course team and additional specialist technical support provided where necessary. 

Tuition Fee

  • International

    13650 GBP/year
    Tuition Fee
    Based on the original amount of 13650 GBP per year and a duration of 12 months.
  • EU/EEA

    6400 GBP/year
    Tuition Fee
    Based on the original amount of 6400 GBP per year and a duration of 12 months.

Part time Home/EU: £3200 per year

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computational Linguistics
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University of Wolverhampton

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