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Computational Linguistics at Goldsmiths, University of London - UCAS

Course options

2024 - 2025
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Have you ever wondered how personal assistants like Siri and Alexa work, or how humans interact with chatbots and apps using natural language? Are you interested in how language is structured, what its social functions are, or how to build formal models of it? If so, then this programme is for you. Why study MA in Computational Linguistics

  • Our interdisciplinary programme will enable you to acquire the theoretical understanding and practical skills you’ll need to succeed in the academic and professional fields of natural language processing and computational linguistics.
  • The programme is based on an inter-departmental collaboration between the Department of Computing and the linguistics team at the Department of English and Creative Writing, giving you a chance to explore the fascinating relationship between language and technology.
  • You’ll have access to modules that explore the core areas of language structure and meaning, the relationship between language, society and culture, linguistic analyses of text and speech, Natural Language Processing, core programming skills, Corpus Linguistics, as well as a further range of option modules available at the two Departments.
  • You’ll gain a solid understanding of how language technologies can be applied to diverse language processing tasks and will be able to steer your studies towards your primary interests and professional ambitions.
  • This program focuses on the intersection of linguistics and computation and is suitable for students coming from either of these disciplines or from related disciplines with strong interests in this domain, with good numeracy skills.
Ethical and social perspectives Throughout the programme, we encourage you to develop an understanding of the ethical and social dimensions of computational linguistics and its applications. Our graduates will be challenged to confront the many ethical issues in artificial intelligence and computational linguistics. In the modern era of data availability, it is vital that all participants involved in the acquisition and analysis of language data are aware of potential biases and the impact of their actions on privacy, anonymity, and personal security.

Modules

You'll take the following compulsory modules Core Issues in English Language & Linguistics 30 credits Data Programming 15 credits Corpus Linguistics 15 credits Machine Learning 15 credits Natural Language Processing 15 credits Final Project 60 credits Option modules You'll also take a further 30 credits of option modules from across the two departments. Listed below you'll find details of the current option module provision, although please be aware that not all modules will be available each year (for example, due to staff research leave). Data Science Research Topics 15 credits Statistics and Statistical Data Mining 15 credits Big Data Analysis 15 credits Data Visualisation 15 Credits Artificial Intelligence 15 credits Neural Networks 15 credits R Programming 15 credits Introduction to Research Methods 15 credits Interaction Science 15 credits Discourse and Identity in Spoken Interaction 30 credits Language & Ideology in Written Discourse 30 credits Language in its Sociocultural Context 30 credits Intercultural Discourse & Communication 30 credits English in a Multilingual World 30 credits The User Experience of Artificial Intelligence 15 credits You may also choose up to 30 credits from Masters-level modules taught by other departments at Goldsmiths, where specifically approved by the Programme Co-ordinator. Please note that due to staff research commitments not all of these modules may be available every year.

Entry requirements

We would accept applicants with an Upper Second-Class Bachelor’s or equivalent degree in either a humanities or a science subject. Degree results below the upper second class would be considered where there are indications of academic strength. Although we don't require prior study of linguistics or computer science, whilst evaluating applications, we do look for evidence of the following: Strong numeracy skills and basic knowledge of programming An aptitude for computational thinking An interest in and capability for working in interdisciplinary contexts A high level of competence in written and spoken English is also required. International qualifications We accept a wide range of international qualifications. If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 with no element lower than 6.0 to study this programme.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

For details of fees and funding please visit https://www.gold.ac.uk/pg/fees-funding/ or the programme page on our website.
Computational Linguistics at Goldsmiths, University of London - UCAS