AI in Society

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University Munich University of Technology
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
Location (main / branches campus) München
Admission semester winter semester
Subject

Das Artificial Intelligence gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.
Weitere Informationen zum Studienbereich Computer Science.
Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.
Artificial Intelligence

Das Political Science gehört zum Studienbereiche Political Sciences der Fächergruppe Humanities and Social Sciences.
Weitere Informationen zum Studienbereich Political Sciences.
Weitere Informationen zur Fächergruppe Humanities and Social Sciences.
Political Science

Field of study
- kind of Master course according to the KMK consecutive
- Main instruction language English
- Annotation of the Higher Education Institution Application period: 01.02. - 31.05.
- Course Website
- Link to the programme in the Accreditation Council database
Access and Admission Requirements
- Mode of admission selection procedure / qualifying examination
- Admission semester winter semester
- Passing the aptitude test
  more information regarding admission requirements
- Completion of first university degree Bachelor/Bakkalaureus, Diplom, Diplom (FH), Magister, Staatsexamen, Master
University-wide Dates and Deadlines
- Wintersemester 2023/2024
- - Lecture period
Tuition Fee
- Annotation to the tuition fee Beginning in the winter semester of 2024/25, TUM introduced tuition fees for international students from outside the EU/EEA.
  Further information can be found online here: https://www.tum.de/studium/studienfinanzierung/studiengebuehren-fuer-studierende-aus-nicht-eu-laendern
  Many international students can apply for a waiver or scholarship; information can be found online here:
  https://www.tum.de/studium/studienfinanzierung/gebuehren/stipendien-und-erlasse
Contact / contact person
- International Students and applicants are kindly requested to contact the International Office:
- TUM Global & Alumni Office
- Street address Arcisstraße 21, 80333 München
- globaloffice(at)tum.de
- Internetpage of the institution
- Contact / contact person for this program
- Bezeichnung Kontaktstelle TUM School of Social Sciences and Technology
- Contact person Lehrstuhl für Human-Centered Technologies for Learning
- Street address Arcisstraße 21, 80333 München
- ais(at)sot.tum.de
- Studienberatung und –information
- Street address Arcisstraße 21, 80333 München
- Phone 089 289-22245
- studium(at)tum.de
- Internetpage of the institution

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