Overview

Explore the intersection of language and artificial intelligence

The online Computational Linguistics MSc/PGDip/PGCert at Goldsmiths is an interdisciplinary programme that combines the study of human language with cutting-edge developments in artificial intelligence, natural language processing (NLP), machine learning, and large language models (LLMs). The programme helps you develop your expertise in building and evaluating language technologies while also helping you become critically aware of their social, ethical, and cultural implications.

Goldsmiths' approach brings together expertise from both linguistics and computing, creating a more balanced curriculum that explores how language works, how machines process it, and how AI systems impact society. This programme equips you with the knowledge and skills to help shape the future of language technologies in an increasingly AI-driven world.

Goldsmiths, University of London is one of the UK’s leading institutions for creative code and home to a growing suite of industry-focused AI and computing degrees. Our innovative approach, strong industry links, and modern curriculum expose students to the latest learning in the field.

• Explore the ethical and societal impact of AI

• Gain a strong understanding of both language and AI

• Learn to analyse, design, and evaluate language technologies

• Develop practical skills in language data analysis, machine learning, and NLP

• Learn topics such as NLP, conversational AI, and large language models

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

Career Pathways

There is growing demand for professionals who can work with language data, machine learning, and AI powered systems, and graduates are well positioned to pursue opportunities in the rapidly growing fields of AI, language technology, and data science. 

Graduates are qualified for roles, including:

• Computational linguist

• Natural language processing engineer

• Language engineer

• AI engineer

• AI analyst

• Research scientist (NLP/AI)

• Language data analyst

• Search relevance engineer