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Machine Learning Eberhard Karls University Tübingen

Degree

Master of Science

Standard period of study (amount)

4 semesters

Location

Overview and admission

Study Type

graduate

Admission semester

Winter Semester only

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.

Annotation

To be newly established for the winter semester 2019/2020.

Admission modus

Local admission restriction

Admission requirements (Link)

Admission requirements

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.

Lecture period

  • 15.04.2024 - 27.07.2024
  • 14.10.2024 - 08.02.2025

Application deadlines

Winter semester (2024/2025)

  • Application deadline for Germans and inhabitants
    Expired
    Please note different application deadlines for Master’s degree courses. You can find an overview here: https://uni-tuebingen.de/de/111543
  • Deadlines for International Students from the European Union
    Expired
    Please note different application deadlines for Master’s degree courses. You can find an overview here: https://uni-tuebingen.de/de/111543
  • Deadlines for international students from countries that are not members of the European Union
    Expired
    Please note different application deadlines for Master’s degree courses. You can find an overview here: https://uni-tuebingen.de/de/111543
  • Enrollment deadline for Germans and foreign students
    Expired (Universitywide deadline)
    Please note different application deadlines for Master’s degree courses. You can find an overview here: https://uni-tuebingen.de/de/111543

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.

Languages of instruction

Main language

English

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