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Computer Science, Department

Mathematisch-Naturwissenschaftliche Fakultät at the Uni Tübingen

Fachbereich IV Informatik

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Basic information

Total number of students 2,210
Number of master degree students 650
Percentage of teaching by practitioners 2.0 %
Percentage of teaching by practitioners, master's 5.0 %

Support during the study entry phase

Total score for support in the study entry phase 11/14 points

Results of study

Graduations in appropriate time, undergraduate degrees 70.6 %
Graduations in appropriate time, master's 47.8 %

Job market- and career-orientation

Bachelor theses in cooperation with work environment 3.9 %
Master theses in cooperation with work environment 30.6 %


Publications per academic 2.5
Third party funds per academic 72.1 T€
Doctorates per professor 1.0

Students' assessments on undergraduate, presence-learning-courses

Teacher support 2.0
Support in studies 1.9
Courses offered 2.1
Study organisation 1.7
Exams 2.0
Research orientation 1.9
Job market preparation 2.7
Support for stays abroad 2.0
Rooms 2.1
Library 1.7
IT-infrastructure 2.0
Workstations 1.9
Overall study situation 1.9

Students' assessments on consecutive master's degree courses

Teacher support 2.0
Support in studies 2.2
Courses offered 1.8
Study organisation 1.9
Transition to Master's studies 2.0
Research orientation 1.8
Overall study situation 1.9

Degree courses without details

Further degree courses of the department
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About the subject

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
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(S)-Students' judgements  (F)-Facts  (P)-Professors' judgements
Last update 2021: Data collected by the CHE Center for Higher Education.
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