Machine Learning Eberhard Karls University Tübingen

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

More information regarding admission requirements

Admission requirements

Deviating application deadline already on 30 April

For course-specific admission requirements, see here https://uni-tuebingen.de/de/166353

Tuition fees

More information regarding tuition fees

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.

Main language

English