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Human-Centred Artificial Intelligence University of Regensburg

Degree
Master of Science
Standard period of study (amount)
4 semesters
Location
Regensburg

Overview and admission

Study Type

graduate

Admission semester

Winter Semester only

Area of study

  • Practical Computer Science
  • Information Science

Focus

Human-Centred AI, AI for Human Computer Interaction, Information Behaviour, Computational Human-Centred AI

Target group

Graduates of a Bachelor’s degree course in Information Science.

Annotation

The international Master’s degree programme "Human-Centred Artificial Intelligence" prepares you to develop, implement and test solutions for human-centred AI. You will be taught specialist knowledge from various disciplines: computer science, data science, human-machine interaction and psychology.

Admission modus

Selection procedure / qualifying examination

More information regarding admission requirements

Admission requirements

Aptitude assessment procedure:
Curricular analysis (a maximum of 54 credit points can be achieved) of the submitted documents based on professional qualifications (learning outcomes of the Bachelor’s degree programme in Information Science) and final/provisional overall examination graduation.
If the final/provisional overall examination grade is 2.5 or better and 54 credit points have been achieved, the student is eligible for the degree course. If the final/provisional overall examination grade is 2.6 or worse and/or if fewer than 54 credit points have been achieved, the student is not eligible.

Selection interview in English (15-30 minutes) on a given topic (announced by 1 April for the winter semester and 1 October for the summer semester)
The eligibility parameters are a) existing specialist knowledge and skills in the field of computer science and b) existing methodological and problem-solving skills.

Lecture period

  • Winter semester 2026/2027: 12.10.2026 - 05.02.2027The lecture period is interrupted from 24.12.2026 to 6.01.2027 and on 01.11. 2026.
  • Summer semester 2027: 12.04.2027 - 16.07.2027The lecture period is interrupted on 26 May 2026.

Languages of instruction

Main language

English

Further languages

German

Available scholarships

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