Course summary
NLP is transforming the way humans communicate with each other and with machines. We have witnessed the rapid evolution of a wide range of natural language processing (NLP) systems that translate text, recognise or produce speech, answer questions, retrieve documents or facts, respond to commands, summarise articles, and simplify texts for children or non-native speakers. The rapid proliferation of online news, social media, and scientific articles has created an exploding demand for NLP systems that enable people to derive critical insights from massive streams of data in many languages. About our programme The Centre for Doctoral Training (CDT) in Natural Language Processing is jointly run by the School of Informatics and the School of Philosophy, Psychology and Language Sciences. Its aim is to equip you with the fundamental skills for advanced research in NLP and language science, giving you foundations in:
- linguistics
- machine learning, statistics, algorithms
- programming
- working with other modalities such as vision and design, ethics and responsible innovation as they apply to NLP systems
- Amazon
- Huawei
- Microsoft
- Naver
- Toshiba
- BBC
Modules
See the University of Edinburgh website for detailed programme information.
Entry requirements
Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Provider information
The University of Edinburgh
Student Recruitment and Admissions
33 Buccleuch Place
Edinburgh
EH8 9JS