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Computer Science, Department

Mathematisch-Naturwissenschaftliche Fakultät at the Uni Düsseldorf

Institut für Informatik

  • Universitätsstraße 1 (Gebäude 25.02, 25.12, 25.13-02)
  • 40225 Düsseldorf
  • Phone: +49 211 811-2235 /-12193
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Basic information

Total number of students 1,600
Number of master degree students 220
Percentage of teaching by practitioners 0.0 %
Percentage of teaching by practitioners, master's 0.0 %

Support during the study entry phase

Total score for support in the study entry phase 5/14 points

Results of study

Graduations in appropriate time, undergraduate degrees 61.0 %
Graduations in appropriate time, master's 46.9 %

Job market- and career-orientation

Bachelor theses in cooperation with work environment 0.0 %
Master theses in cooperation with work environment 0.0 %


Publications per academic 2.2
Third party funds per academic 31.1 T€
Doctorates per professor 0.8

Students' assessments on undergraduate, presence-learning-courses

Teacher support 2.6
Support in studies 2.6
Courses offered 2.7
Study organisation 2.2
Exams 2.2
Research orientation 3.2
Job market preparation 3.3
Support for stays abroad
Rooms 3.2
Library 1.9
IT-infrastructure 3.1
Workstations 2.7
Overall study situation 2.7

Students' assessments on consecutive master's degree courses

Teacher support 1.9
Support in studies 2.4
Courses offered
Study organisation 1.5
Transition to Master's studies 1.9
Research orientation 1.9
Overall study situation 2.1

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
    Each compulsory course is accompanied by a lecturer throughout the course of several years. This allows the evaluations and student feedback to be systematically incorporated into the further development of the courses, and the courses remain consistent over the years. Large events are supported by the use of online learning platforms, which facilitates communication between students and teachers. Possible inhibitions on the part of the students to ask questions are reduced by this.
  • Exchange universities for stay abroads
    Université de Nantes, Frankreich; Universidad Politécnica de Madrid, Spanien; Universidad San Jorge, Zaragoza, Spanien; Universität Basel, Schweiz; Institute of Technology, Blanchardstown, Irland; Göteborgs Universitet, Schweden; Technological Educational Institut of Epirus, Arta, Griechenland; University of Warmia and Mazury, Olsztyn, Polen; Università di Pisa, Italien; Universität Hacettepe, Ankara, Türkei
  • Special features regarding the equipment
    Excellent access to high-performance cluster "HILBERT", which can also be used by students for appropriate final theses. Excellent infrastructure for artificial intelligence and machine learning applications.
  • Special features regarding research activities
    Strong interdisciplinary orientation in research, e.g. through the participation of bioinformatics in the biology excellence cluster; through intensive cooperation with the social sciences at the "Düsseldorf Institute for Internet and Democracy" (with a focus on digital democracy) and the "Leibniz Institute for Social Sciences" in Cologne; close cooperation with medicine in the fields of data science and artificial intelligence; joint professorships with the Jülich Research Centre in data science and machine learning.
  • Support for founders
    A professorship for practice-oriented start-up teaching is currently being established. Support by DIWA GmbH, a joint technology transfer agency of Heinrich Heine University and the state capital Düsseldorf. The aim of DIWA is to support start-ups from science, to intensify cooperation between science and industry and to strengthen Düsseldorf as a location for science and technology.
  • Other special features
    Establishment of a group of staff members who, with special focus and didactic training, are dedicated to the development and monitoring of basic teaching. In the course of this development, a programme for the early detection of problems and for the support of weak students will be established.
  • 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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