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Computer Science, Department

Technische Fakultät at the Uni Freiburg

Institut für Informatik

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Basic information

Total number of students 1,000
Number of master degree students 230
Percentage of teaching by practitioners 1.0 %
Percentage of teaching by practitioners, master's 2.0 %

Support during the study entry phase

Total score for support in the study entry phase 9/14 points

Results of study

Graduations in appropriate time, undergraduate degrees 54.5 %
Graduations in appropriate time, master's 13.6 %

Job market- and career-orientation

Bachelor theses in cooperation with work environment 29.3 %
Master theses in cooperation with work environment 19.6 %


Publications per academic 3.3
Third party funds per academic 160.5 T€
Doctorates per professor 1.1

Students' assessments on undergraduate, presence-learning-courses

Teacher support
Support in studies
Courses offered
Study organisation
Research orientation
Job market preparation
Support for stays abroad
Overall study situation

Students' assessments on consecutive master's degree courses

Teacher support 2.2
Support in studies
Courses offered 1.9
Study organisation 2.1
Transition to Master's studies 2.0
Research orientation 2.1
Overall study situation 2.0

Degree courses without details

Further degree courses of the department
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About studying Computer Science in Germany
About the subject

Further information provided by the department

  • Special features regarding teaching
    Methodically-oriented training profile; scientifically founded, foundation and application-oriented course; variety of inter-disciplinary elements through membership to classical university; strong synergies between teaching and research; innovative use of e-learning and modern media in all areas of study (e.g. use of smartphones and tablets); teaching of inter-disciplinary and social skills; training in independent learning and working in company or academic environments; consistent documentation of performance for self-monitoring
  • Exchange universities for stay abroads
    Institut Polytechnique de Bordeaux, Bordeaux, Frankreich; Göteborg Universität, Schweden; Universidad des Pais Vasco, Bilbao, Spanien; Tampere University, Finnland; Universidad Politécnica de Madrid, Spanien; Haskolinn, Reykjavik, Island; KU Leuven, Belgien; La Sapienza, Rom, Italien; Lyngby University, Dänemark; Hacettepe Üniversitesi, Ankara, Türkei
  • Special features regarding the equipment
    Modern computer rooms with special equipment; technically very well-equipped labs (robotics, image processing and computer graphics, hardware, electronics, mechanics, optics, clean room class 4); WiFi access everywhere; extensive e-learning programmes (especially recorded lectures); innovative use of multimedia in teaching (smartphones in teaching, use of tablet PCs for examinations); modern technical equipment in the classrooms (smart boards, overhead projectors/audio systems)
  • Special features regarding research activities
    Research and teaching are closely linked, there is interaction beyond the boundaries of the institute and faculty on a daily basis. Basic and applied research are carried out to an equal extent frequently with the involvement of the students. Key areas lie in the areas of Cyber-Physical Systems, Artificial Intelligence/Machine Learning as well as Bioinformatics. Areas of excellence (CIBSS - Centre for Integrative Biological Signalling Studies) as well as cooperations with Fraunhofer institutes offer an ideal environment. One of 17 ELLIS Centres of Excellence for Machine Learning in Europe.
  • Support for founders
    The university's central office for technology transfer supports and supervises the utilisation of research results. The spectrum of services ranges from contract research to patents and licenses to the founding of companies. The faculty has a technology transfer staff member who works at both the ZFT and the faculty, providing an appropriate bridgehead. The expertise of this employee in IP matters (patents, trademarks, ...) is actively used. There are already numerous company spin-offs from the faculty.
  • Other special features
    In addition to diverse areas of application, Computer Science also offers the opportunity to do basic research. Diversity and the numerous overlaps with other areas make Computer Science an interesting and promising course of study. The requirement for successful academic studies is not only enjoying analytical and mathematical thinking but also creative talent.
  • Further information on research activities
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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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