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.
Modules
You'll take the following compulsory modules Core Issues in English Language & Linguistics Analysing Discourse & Identity in Spoken Interaction Data Programming Corpus Linguistics Machine Learning Natural Language Processing Final Project Optional modules You'll also take a further 2 option modules from across the two departments. Recent options include: Big Data Analysis The User Experience of Artificial Intelligence Interaction Science Designing Information & Services Applied AI for Industry Advanced Quantitative Methods Cognitive Neuroscience Please note that due to staff research commitments not all of these modules may be available every year.
Assessment method
Assessments build on lectures and seminars so students are expected to attend all taught sessions to build knowledge and their own understanding of their chosen discipline. All assessed work is accompanied by some form of feedback to ensure that students’ work is on the right track. It may come in a variety of forms ranging from written comments on a marked essay to oral and written feedback on developing projects and practice as they attend workshops.
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
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Goldsmiths, University of London
New Cross
Lewisham
SE14 6NW