Natural Language Processing

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.

Academic requirements

All applicants must include a letter of motivation with regard to the study programme with their application.

Minimum GPA

No fixed minimum GPA is published on the current official programme page.

English requirements

Applicants must prove their English language proficiency at level C1, based on the Common European Framework through one of the following tests. The test must have been taken within the last three years: TOEFL (Code 9208): at least 215 points (computer-based) or 550 points (paper-based) or 80 points (Internet-based); Cambridge English: Advanced (CAE) / C1 Advanced; IELTS (at least 6.5 points); UNIcert III.

Accepted bachelor fields

computer science, data science, communication science, linguistics, or artificial intelligence-related course of studies

APS Certificate

Yes

Thesis required

Yes

Tuition fee

None

Semester contribution

approx. 380 EUR for the first semester and 360 EUR from the second semester onwards

ECTS credits

120

Funding info

Tuition: None Semester contribution: approx. 380 EUR for the first semester and 360 EUR from the second semester onwards

Graduates are highly sought after in the rapidly growing field of language technology, with career opportunities in both industry R&D and academic research, benefiting from strong ties to the German and European tech scene.

• 1

  Applied Data Science (MSc)

  University of Göttingen

  Göttingen · Master of Science · English

• 2

  Artificial Intelligence

  Universität zu Lübeck

  Lübeck · Master of Science · English

• 3

  Data Science (MSc)

  Technische Universität Ilmenau

  Ilmenau · Master of Science · English

• 4

  Industrial Mathematics and Data Analysis (MSc)

  University of Bremen

  Bremen · Master of Science · English

• 5

  Data Science

  TU Dortmund University

  Dortmund · Master of Science · English