GLD_Programmatic_Computational_Linguistics_PGCert_Hero

Launch a career building AI-powered language technologies

100% Online

8 months (part-time)

60 credits

4 starts per year

Request more information

Complete the form below for detailed programme and pricing information, and to be contacted by phone and email.

Study AI-powered language technologies without pausing your career

The online Postgraduate Certificate in Computational Linguistics is designed for graduates and professionals who want to develop expertise in AI, NLP, and language technologies without committing to a full master’s degree. The programme focuses on theoretical foundations with practical application, enabling you to develop both technical expertise and critical awareness of the social and ethical implications of language technologies.

Certificate benefits

Gain interdisciplinary skills beyond core computing
Examine the ethical and societal impact of AI
Build expertise in NLP, conversational AI, and large language models
Develop practical, career-focused skills

Request info

A curriculum that combines linguistic and technical skills

4 courses

60 total credits

Designed for working professionals or career changers who want to develop expertise in AI, NLP, and language technologies, alongside humanities, the Computational Linguistics Certificate is ideal if you’re interested in large language models, responsible AI, and how technology shapes communication.

View programme specification

Core Computational Linguistics PGCert modules

Core issues in language and linguistics 15 Credits

Exploring the fundamental principles of linguistic analysis, this module develops students’ understanding of how language is structured and how meaning is created and interpreted. Students will examine key levels of linguistic organisation, including phonology, morphology, syntax, semantics, and pragmatics, applying theoretical frameworks to the analysis of authentic language data. The module investigates how grammatical structures encode meaning, how context shapes interpretation, and how language varies across social and communicative settings. Through critical engagement with linguistic theories and methods, students will develop the analytical skills required to investigate language systematically and independently, providing a foundation for further study of language in applied, computational, and interdisciplinary contexts.

Data programming 15 Credits

Developing practical programming skills for language and data analysis, this module introduces students to the tools and techniques required to acquire, process, and explore data using Python. Students will learn how to collect, clean, validate, and manipulate datasets through structured and reproducible workflows, applying programming concepts to real analytical challenges. The module emphasises the use of data structures, libraries, and visualisation techniques to support exploratory analysis and evidence-based reasoning. Through hands-on engagement with data, students will develop the technical competence and critical awareness required to conduct responsible data analysis and prepare for advanced study in machine learning, natural language processing, and computational linguistics.

Corpus linguistics 15 Credits

Exploring the use of large-scale language data in linguistic research, this module introduces corpus linguistics as a powerful methodology for investigating patterns of language use. Students will examine the principles of corpus design, construction, annotation, and analysis, considering the theoretical, practical, and ethical decisions involved in creating and using language corpora. The module develops skills in applying statistical and computational techniques to explore linguistic phenomena such as meaning, variation, discourse, and style, using a range of corpus tools and analytical methods. Through the design and execution of an independent corpus-based investigation, students will develop the ability to conduct rigorous, evidence-based research and critically evaluate language patterns in authentic datasets.

Artificial intelligence 15 Credits

Examining the latest developments in artificial intelligence, this module explores how modern AI systems are designed, trained, and applied to address complex real-world challenges. Students will investigate contemporary approaches including machine learning, deep learning, generative AI, and intelligent agents, evaluating their capabilities, limitations, and practical applications across a range of domains. The module combines technical understanding with critical reflection, encouraging students to assess the ethical, societal, and organisational implications of AI technologies while developing evidence-based solutions to real-world problems.

GLD_Programmatic_Computational_Linguistics_PGCert_50_50

Career outlook

The online Computational Linguistics Certificate helps you develop the skills needed to pursue career opportunities across diverse industries, including software and SaaS organisations, technology startups, and data science and analytics teams.

Explore potential career pathways

AI Engineer £68,427 per year¹

AI Training Specialist £55,438 per year²

Value of a Postgraduate Certificate (PGCert)

A Postgraduate Certificate (PGCert) offers a flexible way to develop specialist knowledge without committing to a full master’s degree. Complete targeted Level 7 study in a shorter timeframe while balancing work and personal commitments.

Study focused, industry-relevant modules
Complete in less time
Lower overall tuition cost
Apply learning in the workplace
Progress to a PGDip or or master’s

Programme outcomes

By the end of the Postgraduate Certificate in Computational Linguistics, you’ll be able to:

Communicate technical concepts, findings, and recommendations clearly to both specialist and non-specialist audiences.
Gain the ability to critically evaluate the capabilities, limitations, and ethical implications of AI and large language models.
Design, build, and assess language technology solutions for practical applications.
Combine insights from linguistics, computing, and related disciplines to tackle complex challenges.

Entry criteria

Application Deadline 05/02/27

Start Date 01/03/27

Tailored for graduates and professionals who want to develop computational linguistics skills without committing to a full master’s degree. While we seek applicants with a bachelor’s degree, we do consider those with relevant work experience.

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.

Admissions

Tuition and funding

£4,800 Total cost

60 Total credits

Programme fees are reviewed annually and are subject to change each academic year. The fees listed above are for the academic year 2026-27.

Fees and funding

We are excited to be offering discounts. Review our tuition and funding pages for more information.

Funding options

Meet your faculty

Our expert faculty offer extensive knowledge and diverse perspectives, bringing industry insights and real-world expertise directly into the classroom to enhance your learning experience.

Academics with advanced qualifications and specialised expertise
Real-world experience integrated into coursework and discussion
A learning environment that blends academic rigour with structured support
Smaller study groups that enable individual attention and feedback
Ongoing mentorship and support at each stage of your studies at Goldsmiths

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.

Related programmes

Explore other programmes that build complementary AI, NLP, and computational linguistics skills.

Develop practical skills in language data analysis, machine learning, and NLP that are applicable across AI, data science, and technology careers. 

 Deepen your skills in NLP, AI, and linguistics while building and evaluating AI-powered language technologies. 

Sources

Salaryexpert.com. (2026). Salary & Compensation Calculator | Compensation Hub – SalaryExpert. [online] Available at: https://www.salaryexpert.com/salary/job/ai-engineer/united-kingdom [Accessed 9 July 2026].
Salaryexpert.com. (2026). Salary & Compensation Calculator | Compensation Hub – SalaryExpert. [online] Available at: https://www.salaryexpert.com/salary/job/ai-trainer/united-kingdom [Accessed 9 July 2026].

Computational Linguistics PGCert (Online)