Computational Linguistics MSc (Online)
Understand, build and evaluate AI-powered language technologies
100% Online
24 months (part-time)
180 credits
4 starts per year
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Shape the future of language technologies
- Apply By: 05/02/27
- Start: 01/03/27
Artificial intelligence is transforming the way people communicate, search, and interact with technology. Goldsmiths, University of London’s online MSc/PGDip/PGCert in Computational Linguistics combines linguistics, natural language processing, machine learning, and large language models to help you design intelligent, human-centred language technologies. Through project-based learning and authentic language datasets, you’ll build the technical expertise, critical perspective, and professional portfolio to solve real-world language challenges and prepare for careers at the forefront of AI.
Programme benefits
- Interdisciplinary focus beyond technical skills
- Explore the ethical and societal impact of AI
- Study NLP, conversational AI, and large language models
More information about the MSc Computational Linguistics
Click on each tab below to learn additional details regarding the programme requirements and features.
Curriculum
Build expertise at the intersection of language and AI
8 modules plus final project
15-20 hours per week
Language is at the heart of today’s most transformative AI technologies. This MSc combines linguistics, natural language processing (NLP), machine learning, conversational AI, and large language models to help you understand not only how AI processes language, but why language itself matters. Through an interdisciplinary 180-credit curriculum, you’ll develop both the technical skills to build intelligent language technologies and the linguistic expertise to evaluate how they perform in real-world contexts.
Working with authentic language datasets and project-based assessments, you’ll learn to analyse, generate, and model human language while considering the ethical, cultural, and societal implications of AI. Graduates are prepared for careers spanning NLP, conversational AI, language technology, computational linguistics, and AI research. While the programme is not a professional licensure or certification pathway, it provides a strong academic foundation for industry roles and further doctoral study.
Why you’ll graduate ready to shape the future of language technology
Combine linguistics with AI
Explore how language works while applying machine learning, NLP, and large language models to real-world language challenges.
Build practical NLP expertise
Develop conversational AI systems, analyse language data, and complete project-based assessments that build a portfolio of technical and research skills.
Design responsible language technologies
Examine ethics, bias, multilingual communication, and the societal impact of AI to develop language technologies that are effective, inclusive, and responsible.
Entry criteria
Build, analyse, and evaluate language technologies
Application Deadline 05/02/27
Start Date 01/03/27
This programme is designed for individuals who want to combine language, technology, and critical thinking to shape the future of AI-powered communication.
| Online application | Apply now |
|---|---|
| Degree | Typically, applicants hold a 2:2 bachelor’s degree (or equivalent). Applicants with substantial professional experience may also be considered. |
| Language criteria | If English is not your first language, you’ll usually need an IELTS overall score of 6.5 (with no band below 6.0). In some cases, this may be waived based on prior study, supporting access for a global cohort. |
Apply today
Review our admissions pages for more information on language criteria and how to apply.
AdmissionsFees & funding
Build your future with flexible tuition options
Invest in your future with flexible payment options. You can choose to pay in full or spread the cost across instalments for each module. All fee information is provided to help you make an informed decision.
| Total estimated cost | £12,500* |
|---|---|
| Cost per module | 8 payments of £1,200 and £2,900 for the Final Project (split into two instalments) |
| Total number of credits | 180 |
| Other Costs to Budget For | The tuition fee includes access to the online learning platform, course materials, and required digital resources. Personal costs such as technical equipment, office supplies, travel, visas, and expenses related to optional residencies are not included. |
Fees and funding
We are excited to be offering discounts. Review our tuition and funding pages for more information.
Funding options
Shape the future of human-AI communication
From intelligent assistants to machine translation and large language models, organisations are investing in technologies that understand and generate human language. This programme develops the interdisciplinary skills needed for careers in computational linguistics, NLP, conversational AI, and language technology. While it is not a professional licensure or certification pathway, it provides a strong foundation for industry roles and doctoral study.1
Explore careersWhat you’ll learn
Gain the skills to understand, build, and critically evaluate AI-powered language technologies through a unique blend of linguistics, computing, and responsible innovation.
- Analysing and interpreting language data
- Applying NLP, AI, and machine learning techniques
- Designing and evaluating language technology solutions
- Working with large language models and conversational AI
- Critically assessing AI systems and their ethical implications
- Solving complex problems using interdisciplinary approaches
- Communicating technical concepts to diverse audiences
- Conducting independent research and applied projects
Programme outcomes
- Understand how language works and how AI systems process, interpret, and generate human communication
- Apply natural language processing (NLP), machine learning, and AI techniques to real-world language challenges
- Critically evaluate the capabilities, limitations, and ethical implications of AI and large language models
- Analyse and interpret complex language data using both qualitative and quantitative approaches
- Design, build, and assess language technology solutions for practical applications
- Plan and deliver independent research or applied projects that address real-world problems
- Combine insights from linguistics, computing, and related disciplines to tackle complex challenges
- Communicate technical concepts, findings, and recommendations clearly to both specialist and non-specialist audiences
Meet your faculty
Our expert faculty members bring a wealth of knowledge and diverse perspectives to your learning experience. From AI and data science to creative coding, their shared commitment to innovation and excellence creates an empowering academic environment.
- Learn from active practitioners working across AI, computational arts, music, design and interactive media
- Study with Goldsmiths faculty leading research in creative technology and human-centred AI
- Benefit from studio-style teaching informed by real-world creative and cultural industries
- Develop your practice through collaborative learning, mentorship and personalised academic support
- Join a globally recognised creative community known for innovation in arts, media and computing
Dr Tony Russell-Rose, Reader in Computer Science, Computational Linguistics
Dr Tony Russell-Rose
Dr Tony Russell‑Rose is a Reader in Computer Science in the Department of Computing at Goldsmiths, University of London, whose work explores how people search for and interact with information online. His research focuses on the intersection of natural language processing, information retrieval, and user experience, with particular interests in human-information interaction, exploratory search, and knowledge discovery. His approach combines theory with experimentation, in analysing existing practices, building novel interactive technologies and systems, and studying their impact on real users in naturalistic settings.
Dr Geri Popova, Senior Lecturer, Computational Linguistics
Dr Geri Popova
Dr. Geri Popova is a Senior Lecturer in Linguistics in the Department of Computing at Goldsmiths, University of London, with interests in core areas of linguistics, including morphosyntax, lexical semantics, formal models of linguistic structure, and the empirical investigation of linguistic phenomena in corpora. Her research has examined grammaticalization and grammatical categories across languages from both synchronic and diachronic perspectives, drawing on cross-linguistic comparisons. She has also worked in applied areas of linguistics, including discourse analysis. Her teaching spans both theoretical and applied linguistics, covering topics including core linguistics, corpus linguistics, discourse analysis, translation, and multilingualism.
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Source and disclaimer
- World Economic Forum, Future of Jobs Report 2025 (AI and big data remain among the fastest-growing skill areas).
*Programme fees are reviewed annually and are subject to change each academic year. The fees listed above are for the academic year [2026-27].