Please note that the CHE Ranking is currently being updated. It is therefore possible that the information provided is not up-to-date. On the website of ZEIT ONLINE you can already find the updated ranking, but only in German:

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  • Department

Basic information

Total number of students at the department


Number of master degree students (w/o teacher qualification)


Percentage of teaching by practitioners


Percentage of teaching by practitioners, master's


Support during the study entry phase

Total score for support in the study entry phase

11/14 points

Job market- and career-orientation

Bachelor theses in cooperation with work environment


Master theses in cooperation with work environment



Publications per academic


Third party funds per academic

72,100 €

Doctorates per professor


Students' assessments on undergraduate, presence-learning-courses

Teacher support
Support in studies
Courses offered
Study organisation
Exam organisation
Research orientation
Offers for career orientation
Support for stays abroad
Student Workstations
Overall study situation
Return rate of the questionnaires


Students' assessments on consecutive master's degree courses

Teacher support
Support in studies
Courses offered
Study organisation
Transition to Master's studies
Research orientation
Overall study situation
Return rate of the questionnaires


Further information provided by the department

Special features regarding teaching

Degree courses in Bioinformatics, Machine Learning and Medical Informatics that can be studied in English; seminars are held in English; examinations can be held in English; selected elective courses are also held in English already in the Bachelor's degree course. This allows students to settle in gradually from the 5th semester at the latest in order to be optimally prepared for a Master's degree course.

Exchange universities for stay abroads

Universitat Pompeu Fabra, Barcelona, Spanien; Universitetet i Oslo, Norwegen; Uppsala Universitet, Schweden; Hacettepe Üniversitesi, Ankara, Türkei; Universidade Nova de Lisboa, Portugal; Tufts University, Medford, USA; Universidade Federal do Rio Grande do Sul (UFRGS), Brasilien; Universiteit van Amsterdam, Niederlande; Università degli Studi di Perugia, Italien; University of Michigan, Ann Arbor, USA

Special features regarding the equipment

Very good equipment, e.g. high performance and GPU cluster, IBM Mainframe, eye-tracking and motion-tracking laboratory, robots, quadrocopter, digital 3D photo studio, LightStage, driving simulator, hardware lab, Brain-Computer Interface, Psychophysics lab, Internet lab/ machine learning training centre, augmented reality.

Special features regarding research activities

Research at the faculty has a very inter-disciplinary focus. The Universität Tübingen offers a highly inter-disciplinary research landscape. Cooperations with Medicine, Neurosciences, Linguistics, Bioinformatics, Psychology, the Institut for Wissensmedien (IWM, Institute for Knowledge Media), as well as the three local Max Planck institutes. The quality of research is characterised by high-ranking research programmes (several ERC- and Emmy-Noether groups) and intensive cooperation with industry. Involvement in the Württemberg economic area and numerous international cooperations.

Support for founders

CyberValley Startup Incubator; start-up support of the University of Tübingen Knowledge Transfer and Innovation.

Further information on research activities

Further information about study entry phase




top group


middle group


bottom group
Not specified
not specified


(S) = Students' judgements

(F) = Facts

(P) = Professors' judgements


Value in percent

Value in points


Thousand Euro

Last Update 2021: Data collected by the CHE Center for Higher Education
DAAD - Deutscher Akademischer Austauschdienst - German Academic Exchange Service