The MSc in Linguistics and AI combines artificial intelligence and computational linguistics to explore how AI techniques can be applied to language data. This programme is geared towards students interested in pursuing a career in AI without requiring a highly technical background. Led by Queen Mary’s renowned Department of Linguistics, it offers a solid foundation in AI methods related to language processing, statistical analysis, and programming. Throughout the course, you will learn how to handle large datasets, understand linguistic properties of text, and use models like neural networks and transformers. The programme emphasizes applying these models in real-world contexts, including ethical considerations and practical applications. It combines theoretical understanding with hands-on training in programming languages such as Python and R, as well as in data acquisition, cleaning, and analysis, preparing students for careers that intersect linguistics and technology.
Why this course is highly recommended
This MSc is ideal if you're interested in AI applications related to language but do not have a highly technical background. It provides foundational skills in both linguistics and AI, making it a versatile qualification for careers in technology, marketing, speech therapy, forensic linguistics, and more. The programme’s focus on real-world datasets, machine learning, and ethical considerations makes it relevant and practical. Studying in one of the top linguistics departments in the UK offers access to excellent facilities and expert faculty. The course also prepares students for further research or specialized careers by combining theoretical knowledge with practical skills in programming and data analysis.
The course offers a specialization in computational linguistics, covering core architectures like Hidden Markov Models, Recurrent Neural Networks, and Transformers, specifically used in large language models. It also delves into linguistic concepts such as syntax, semantics, discourse cohesion, and ambiguity, and how they are modeled computationally. The curriculum emphasizes connecting linguistic theory with AI techniques, including neural and symbolic approaches, and applying these to large language datasets. This prepares students to understand and develop AI applications in language processing, with a focus on contemporary generative AI models used in industry today.
Application fees
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1st year tuition fees
26.92L
Living cost
Applicants should have a 2:1 undergraduate degree or equivalent in any subject. For international applicants, qualifications are assessed based on national standards, but generally, a recognized bachelor's degree from a reputable institution with good grades is required. If applicants do not meet the direct entry requirements, they can consider the Graduate Diploma in Humanities and Social Sciences as a pathway to the MSc in Linguistics and AI.

English language test
Want to learn more about the admission process, eligibility criteria,
and acceptance rates for international students? Visit the Queen Mary University of London admission page
for complete details.
Graduates of this programme can pursue careers in diverse fields that intersect linguistics and AI, such as technology industries, marketing, brand consulting, speech therapy, forensic linguistics, banking, journalism, and IT. The programme also offers training workshops and guidance for those considering further research, including PhD opportunities. The combination of linguistic expertise, practical programming skills, and data analysis experience enhances employment prospects in both academic and industry sectors, especially in roles requiring AI and language data skills.