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Human-Centred Artificial Intelligence

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Quick Overview

  • University University of Regensburg
  • Degree Master of Science
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission selection procedure / qualifying examination
  • Standard period of study (amount) 4 semesters
  • Study Mode (elucidation) full time; international course; part time
  • Location (main / branches campus) Regensburg
  • Admission semester winter semester
  • Subject

    Das Information Science gehört zum Studienbereiche Library Science, Documentation der Fächergruppe Language and Cultural Studies.

    Weitere Informationen zum Studienbereich Library Science, Documentation.

    Weitere Informationen zur Fächergruppe Language and Cultural Studies.

     Information Science

    Das Practical Computer Science gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

     Practical Computer Science

  • Areas of Concentration AI for Human Computer Interaction, Computational Human-Centred AI, Human-Centred AI, Information Behaviour
  • Field of study
    • Target group Graduates of a Bachelor’s degree course in Information Science.
    • kind of Master course according to the KMK consecutive
    • Main instruction language English
    • Further language(s) German
    • Annotation of the Higher Education Institution 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.
    • Course Website
  • Access and Admission Requirements
    • Mode of admission selection procedure / qualifying examination
    • Admission semester winter semester
    • 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.
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus
      (and other qualifications, provided that they are recognised as being equivalent)

      Minimum requirements for first university degree:
      • Minimum grade: 2.50
      • Minimum number of semesters: 6 semesters
      • Minimum standard period of study: 6 semesters
      • Required ECTS credits: 180
    • Required language skills
    • Required minimum language skills that must be proven by passing one or more of the following language tests:
      • GER (English): Englisch B2
  • University-wide Dates and Deadlines
    • Wintersemester 2025/2026
      • Lecture period
      • 13.10.2025 — 06.02.2026
        Die Vorlesungszeit wird unterbrochen vom 24. Dezember 2025 bis einschließlich 6. Januar 2026 sowie durch den 1. November 2025.
        • Application Deadline for Selection Process 01.06.2026
          Anträge auf Zulassung zum Masterstudiengang und zum Eignungsverfahren ausschließlich über das elektronische Bewerbungsportal für das Wintersemester bis zum 1. Juni (Ausschlussfrist).
  • Contact / contact person

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