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Artificial Intelligence Technology Brandenburgische Technische Universität Cottbus-Senftenberg

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

Overview and admission

Study Type

graduate

Admission semester

Summer and Winter Semester

Area of study

  • Applied Computer Science
  • Media Informatics
  • Engineering Informatics
  • Artificial Intelligence
  • Data Science

Focus

Hardware-Based Systems: Electrical Engineering, Information Technology and Physics, Cognition and Neuroscience, Autonomous Driving, Data Science, Assistance Systems

Target group

Graduates with a Bachelor’s degree in Artificial Intelligence, Computer Science, Mathematics and Ethics as well as other related degree courses

Admission modus

Without admission restriction

Admission requirements

The subject-specific admission requirement is a first professionally qualifying degree (at least Bachelor’s degree) in a related degree course

The degree will be considered sufficiently related in terms of content if the degree in Computer Science, Electrical Engineering, Mathematics and Ethics is comparable in scope to the Bachelor’s degree programme in Artificial Intelligence Technology at Brandenburg University of Technology Cottbus-Senftenberg.

Lecture period

Winter semester 2026/2027: 05.10.2026 - 31.01.2027

Application deadlines

Summer semester (2025)

  • Deadlines for international students from countries that are not members of the European Union

    01.11.2026 - 15.01.2027
  • Deadlines for International Students from the European Union

    01.11.2026 - 15.02.2027
  • Application deadline for Germans and inhabitants

    01.12.2026 - 01.03.2027
  • Enrollment deadline for Germans and foreign students

    01.12.2026 - 01.03.2027

Winter semester (2026/2027)

  • Deadlines for International Students from the European Union

    Expired
  • Deadlines for international students from countries that are not members of the European Union

    01.03.2027 - 15.05.2027
    -For the degree programmes Artificial Intelligence, Chemistry Materials Engineering and Sustainability, Heritage Conservation and Site Management, World Heritage Studies 01.03.26 to 15.07.2026 - For the distance learning degree programme in World Heritage Studies (online): Application deadline from 01.03.26 to 15.08.26
  • Application deadline for Germans and inhabitants

    Expired
  • Enrollment deadline for Germans and foreign students

    Expired

Languages of instruction

Main language

German

Available scholarships

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