The new Bachelor of Science degree programme "Language, Technology, Media" (STeM) is offered since the winter term 2020 and combines informatics with language, media and communication sciences. With "Artificial Intelligence and Computational Linguistics" (KICL), Computational Linguistics offers an elective focus in STeM from the third semester on.

A Bachelor of Science (B.Sc.) in "Language, Technology, Media" (STeM) with a focus on "Artificial Intelligence and Computational Linguistics" (KICL) at the University of Trier imparts skills that are highly demanded on the modern job market:

•    Interdisciplinary: 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.
•     Practical: Ability to develop, implement and use informatics methods using existing software libraries, and to experimentally and theoretically evaluate these methods in various language and media-based application scenarios.
•     Reflected: Ability to evaluate these methods and their use in relation to industry, society, politics and science. The STeM+KICL degree programme is particularly suitable for those who are interested in language, communication and media as well as in technical and scientific methods.

A degree in STeM+KICL provides students with qualifications that are currently in high demand on the labour market from employers in business, public institutions and research institutes.

Algorithmic processing of language and media is in demand both in informatics subjects such as artificial intelligence, machine learning and knowledge representation and in interdisciplinary collaboration with all other disciplines such as engineering, humanities, social sciences, law, economics and medicine.

Primary employers in this field are IT companies, especially in the areas of search engines, media, internet, advertising, social networks and dialogue systems. This ranges from the large digital corporations to innovative tech start-ups. However, there is also strong demand from all companies with large digital textual databases that need to be analysed automatically, e.g. for internal company information management, such as maintenance reports, or in customer service. There is currently also considerable demand from public institutions that work with digitised textual data, such as libraries and public authorities. The academic sector and research institutions are also looking intensively for qualified personnel, as digitisation has opened up numerous new fields of research.