Computational Linguistics (Online) MSc

Shape the future of language technologies\
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.

Language is at the heart of today’s most transformative AI technologies. This programme 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.