We highly recommend the start of the programme in the winter semester. Although a start in the summer semester is possible, the programme is optimised for a start in the winter semester.
Admission is generally valid for two subsequent semesters. Applicants from countries requiring a visa for entering Germany should consider applying by 15 January for beginning their studies in the winter semester of the same year, giving them more time to complete the visa process and to prepare their stay.
Non-EU citizens:
- 15 January 2025 for the summer semester 2025 (admission also valid for the winter semester 2025/26)
- 31 May 2025 for the winter semester 2025/26 (admission also valid for the summer semester 2026)
EU citizens:
- 15 January 2025 for the summer semester 2025 (admission also valid for the winter semester 2025/26)
- 15 September 2025 for the winter semester 2025/26 (admission also valid for the summer semester 2026)
German citizens and applicants with a BA or MA degree from a German university:
- 15 March 2025 for the summer semester 2025 (admission also valid for the winter semester 2025/26)
- 15 September 2025 for the winter semester 2025/26 (admission also valid for the summer semester 2026)
Automation is bringing about profound changes in all areas of social and professional life, including science. Core technologies that are driving this revolution are artificial intelligence and natural language processing. The degree programme in “Natural Language Processing” enables students to accompany and shape these changes. It is interdisciplinary, and it deals with digitally-mediated language in its entire breadth – from written texts to audiovisual and social media. With NLP, the CLDH department offers a modern Master's degree programme that provides a specialisation in artificial intelligence, specifically in machine learning and semantic technologies as well as methods for the analysis, management and generation of text and media. It is interdisciplinary, combining studies in linguistics with artificial intelligence, and it offers a wide range of elective modules such as Digital Humanities and Digital Libraries. In addition to central theoretical foundations, courses on mathematics and computer science, the programme imparts problem-solving and practical competence.
For whom is NLP?
Do you have a Bachelor’s degree from a computer science, data science, communication science, linguistics, or artificial intelligence-related course of studies? Are you interested in digital media and communication, especially in how textual content can be managed, analysed and generated using computational methods? Do you want to automatically access, analyse and understand large amounts of textual and multimodal content and make it usable for humans and machines? Do you want to use the latest digital methods from artificial intelligence, knowledge graphs, machine learning and deep learning? Do you want a course of study that teaches practical skills and involves working with real data? Do you want not only to acquire technical skills but also to work in an application-oriented manner in interdisciplinary, international teams right from the start?
What is taught in NLP?
The Master of Science programme in “Natural Language Processing” with a focus on artificial intelligence and computational linguistics at the University of Trier provides skills that are in high demand in the modern job market:
Interdisciplinarity: Understanding of modern technical methods of artificial intelligence for the interdisciplinary analysis and generation of language and media as well as annotation of documents and their content integration beyond document collections
Practicality: Ability to develop, implement and use computer science methods using existing software libraries, and to experimentally and theoretically evaluate these methods in various language and media-based application scenarios
Reflectability: Ability to evaluate these methods and their use in relation to industry, society, politics and science – The NLP degree programme is particularly suitable for those who are interested in language, communication and media as well as in technical and scientific methods.
Research-orientation: The understanding and skills of the programme graduates go beyond well-established applications towards researching new methods and conducting novel experiments in a fast growing research area.