Natural Language Processing (Master of Science, 1-subject)
Automation is bringing about profound changes in all areas of social and professional life, including science. A core technology that is driving this revolution is Artificial Intelligence and specifically Natural Language Processing (NLP). The degree program NLP enables students to accompany and shape these changes. It is interdisciplinary and deals with digitally-mediated language in its entire breadth: from written texts to audiovisual and social media.
With NLP, the Computerlingustik & Digital Humanities department offers a modern Master's degree program that provides a specialization in Artificial Intelligence, specifically Machine Learning and Semantic Technologies, methods for the analysis, management and generation of text and media. It is interdisciplinary, by combining studies in linguistics with artificial intelligence and offers a wide range of elective modules like Digital Humanities and Digital Libraries. In addition to central theoretical foundations courses on mathematics, computer science, the program imparts problem-solving and practical competence. The students' ability to reflect on the use of such methods is also promoted.
| Course | Natural Language Processing |
| Degree | Master of Science |
| Program type | 1-subject |
| Course length | 4 semester |
| ECTS (Credits) | 120 |
| Admission restrictions | none (Winter Semester 2025/26) | none (Summer Semester 2026) |
| Course starts | Winter Semester | Summer Semester |
| Language of Instruction | English |
Programme Co-ordinator | Natural Language Processing Programme
Dr. phil. Simon Werner
Tel.:+49 651 201-2265
E-Mail: werners@uni-trierde
Study Documents
A single-subject master’s degree programme has a standard period of study of four semesters.
- Module overview | Natural Language Processing (M.Sc., 1-subject)
- Curriculum | Natural Language Processing (M.Sc., 1-subject)
The subject examination regulations (german) regulate the purpose, content and procedure of the examinations and are legally binding. If you have specific questions about the content of an individual examination, please connect your examiners, otherwise contact the departmental academic advisor. The University Examination Office will answer any questions regarding the organisation of examinations.
The module descriptionsspecify the modules laid out in the examination regulations and provide information on the content of the courses in the modules as well as the learning objectives and competences to be acquired.
Application and Admission
Admission to this master’s programme requires proof of an appropriate bachelor’s degree according to the subject examination regulations [D].
Whether a bachelor’s degree programme or parts of a bachelor’s degree programme qualify for admission to a particular master’s degree programme is determined by the subject examination board during the application process on the basis of the subject examination regulations.
The following certificates are also required for admission to this master’s degree programme according to the subject examination regulations:
- English language proficiency.
Further information on application, admission and enrolment is summarised on the application page.
Internship
An internship is not compulsory in this programme.
Nevertheless, it is recommended to make contact with employers through internships at an early stage and get to know the future working world. The university supports internships in Germany and abroad through Career Services by providing information and internships offers.
Stay abroad
A study/stay abroad is not compulsory but is recommended.
The university supports study and internship stays abroad through numerous exchange programmes. Further information: