Artificial Intelligence advanced study programme

Master’s degree in
Artificial Intelligence

University degree conferred
Master of Science (M.Sc.)

Prescribed period of study
6 semesters

Type of study
Part-time / extra occupational / distance learning

Programme start
Each semester

Number of ECTS credits

Language of instruction


  • First degree (at least Bachelor with at least 6 semesters) from a recognised German or comparable other foreign university in Computer Science, Engineering or similar
  • At least 1 year relevant professional experience in full-time in the field of software engineering and project management and in systems engineering
  • Basic knowledge of Computer Science
  • Basic programming skills
  • Basic university level in mathematics, including linear algebra, probability theory and statistics
  • A motivation which matches the content of the Master’s programme
  • Proficiency requirement in English (min. B2)

Profile of the study programme

The continuing education programme Artificial Intelligence (AI) aims to convey the scientific and methodological fundamentals of artificial intelligence (AI), building on a bachelor's degree in informatics. The knowledge and skills acquired enable students to solve a wide range of AI problems in professional practice and research. The programme takes this into account by offering a broad, fundamentally-oriented Master's programme in combination with practical teaching units. The aim of the programme is to enable students to lead extensive AI projects in business or to become internationally active in research. The continuing education programme AI is therefore research-oriented.

The target group of the programme is, on the one hand, bachelor graduates who have gone into practice after a bachelor's degree related to computer science, but who still want to expand their competences for the qualification requirements of a leading position, e.g. in the AI projects that are in high demand in the economy. On the other hand, people are addressed (also from computer science-related Master's degree programmes without in-depth AI training) who are looking for new challenges in the socially important topic of AI research after a professional career. The programme is designed in principle as a part-time programme (with a load of 12-18 credits per semester), so that there is an opportunity for students to remain active in the professional environment. This is additionally supported by the design of the teaching as online teaching. This also makes distance learning possible.

As part of the recognition of competence from one year of professional practice in a computer science-related occupation, extensive interdisciplinary competences are also included in the overall training in the degree programme in addition to the computer science competences from professional practice. From the perspective of teaching methodology, the professional competences are realigned through lectures in the field of AI. Teaching content is deepened independently by students through larger practical teaching units in order to achieve sustainable learning.

The Master's degree programme complements the computer science-related degree programmes at the University of Lübeck, but offers, for example, a clear focus on aspects of AI compared to the Master's degree programme in computer science. With the AI fields of image processing playing a major role in the degree programme, there are connections to the Master Medical Informatics degree programme. With its focus on Human-Centered AI, there are also links to the Master's programme in Media Informatics. Through this orientation, the programme also fits in with the university's leitmotif: Focus on life. Despite the links, the programme is an independent educational offer within the University of Lübeck.

With English as the language of instruction throughout, the programme prepares for further internationalisation of the University of Lübeck. Although some AI degree programmes have recently been introduced in Germany, the orientation towards further education with recognition of professional achievements in a Master's programme and the English-language orientation can hardly be found at other universities.



Persönliche Beratung durch:

Prof. Dr. Martin Leucker
Studiengangsleiter Artificial Intelligence weiterbildend - Master
Dr.rer.nat. Frauke Kerlin
Studiengangskoordinatorin Artificial Intelligence weiterbildend - Master