Linguistics with a Specialisation in Computational Linguistics MA

About this degree

Students gain knowledge and understanding of current research in computational linguistics and are prepared fo independent research. On completion of the programme, they will be able to formulate appropriate research questions, find and evaluate relevant literature, develop and test new hypotheses, and produce cogent, structured and professionally presented reports.

Students will use symbolic models, deep learning models, or crowdsourcing-based data collection and experimental methods, and will receive extensive training in research methods and the scholarly presentation of ideas.

The Linguistics MA with a specialisation in Computational Linguistics aims to give students a thorough grounding in both theoretical and computational linguistics. Students gain a basic understanding of the three core areas of linguistics: phonetics and phonology; syntax; and semantics and pragmatics, plus they will be introduced to algorithms and models that implement linguistic theories and form the basis of modern natural language processing systems. Through option modules, students are also able to tailor their programme to meet their personal research interests.

Normally a minimum of a second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard is required. Applicants must be able to demonstrate that they have foundational knowledge in at least one procedural programming language (e.g., Python or Java).

The English language level for this programme is: Level 2

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

This Linguistics MA equips graduates with the necessary skills to carry out advanced research in linguistics with a particular focus on computational linguistics. It additionally provides transferable skills that prepare students for a wide range of careers within and outside of academia, including analytical thinking, problem solving, project management, and writing and oral presentation skills. It provides training in computational linguistics.