Master of Science in Natural Language Processing

Automation is bringing about profound changes in all areas of social and professional life, including science. Core technologies driving this revolution are artificial intelligence and natural language processing. The MSc in “Natural Language Processing” (NLP) enables you to shape these changes. It is interdisciplinary, and it deals with digitally-mediated language – from written texts to audiovisual and social media. NLP is an MSc 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 linguistics with artificial intelligence, with a wide range of electives such as Digital Humanities and Digital Libraries. In addition to 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? to use the latest digital methods from artificial intelligence, knowledge graphs, machine learning and deep learning? a course of study that teaches practical skills and involves working with real data? to work in an application-oriented manner in interdisciplinary, international teams? What is taught in NLP? The MSc in NLP with a focus on artificial intelligence and computational linguistics provides skills that are in high demand in the job market: Interdisciplinarity: Understanding of technical methods of artificial intelligence for 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 software libraries, and to experimentally and theoretically evaluate these methods in various language and media-based application scenarios Reflectability: Ability to evaluate methods and their use in relation to industry, society, politics and science The programme is particularly suitable for those interested in language, communication and media as well as in technical and scientific methods. Research orientation: The understanding and skills of the graduates go beyond well-established applications towards researching new methods and conducting novel experiments. The Master's programme covers the following module types: Compulsory modules: Introductory courses as well as propaedeutic courses Elective modules covering topics in artificial intelligence & machine learning, computational linguistics & natural language processing, digital humanities and data science Research case studies Master's thesis PDF Download