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Machine Learning

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Quick Overview

  • University Eberhard Karls University Tübingen
  • Degree Master
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission local admisssion restriction
  • Beginning Students First-year students can only apply or register for the winter semester.
  • Standard period of study (amount) 4 semesters
  • Study Mode (elucidation) full time; international course
  • Location (main / branches campus) Tübingen
  • 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 Data Science gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

     Data Science

  • Field of study
    • Target group The international Master’s program in machine learning offers a wide choice of courses in computer science and, apart from a few mandatory courses, allows students to choose their subjects according to interest. Students will attend lectures, seminars, and project lab courses under the supervision of scientists who introduce them to basic and applied research and current topics in machine learning. To pick up on scientific trends and make the best use of the current state of research, the curriculum relies heavily on the strong research presence on site, in machine learning as well as the wider field of computer science: top-level researchers in all major methodological branches of machine learning are present in Tübingen – personnel that will actively engage in teaching for the Master’s Program Machine Learning. Since the field is obviously very young and currently developing extremely rapidly, training will naturally be based on the most recent insights and the most pressing research questions of these teaching researchers. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor any sub field of computer science.
    • kind of Master course according to the KMK consecutive
    • Main instruction language English
  • Access and Admission Requirements
    • Mode of admission local admisssion restriction
    • Admission semester winter semester
    • Deviating application deadline already on 30 April

      A Bachelor's degree (or equivalent) in either computer science, mathematics, physics or related natural sciences with a grade of at least 2.3 (German grading system). In particular, competences from the following areas are required, equivalent in content and scope to those in the BSc course in Computer Science in Tübingen:

      Mathematics: one- and multidimensional analysis, linear algebra and either numerics or stochastic
      Computer science: Programming, Algorithms and Data Structures.

      Applicants must also provide adequate proof of English proficiency.
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus
  • University-wide Dates and Deadlines
  • Tuition Fee
    • Tuition fee more information regarding tuition fees
    • Annotation to the tuition fee All information about tuition fees for international students (EUR 1,500 per semester) and for a second degree course (EUR 650 per semester) can be found on our website.
  • Contact / contact person

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