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  6. Fachbereich 03: Mathematik / Informatik
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Computer Science, Department

Fachbereich 03: Mathematik / Informatik at the Uni Bremen

  • Bibliothekstraße 5
  • 28359 Bremen
  • Phone: +49 421 218-63500
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Basic information

Total number of students 1,780
Number of master degree students 320
Percentage of teaching by practitioners 5.0 %
Percentage of teaching by practitioners, master's 5.0 %

Cooperative Education

Students in cooperative education 80
Extent of interlinking

Support during the study entry phase

Total score for support in the study entry phase 12/14 points

Results of study

Graduations in appropriate time, undergraduate degrees 47.2 %
Graduations in appropriate time, master's 40.8 %

Job market- and career-orientation

Bachelor theses in cooperation with work environment 15.4 %
Master theses in cooperation with work environment 52.4 %


Publications per academic 3.6
Third party funds per academic 99.3 T€
Doctorates per professor 1.0

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 cooperate education courses

Teacher support
Support in studies
Courses offered
Study organisation
Coordination of theory and practice phases
Overall study situation

Students' assessments on consecutive master's degree courses

Teacher support 1.8
Support in studies 2.0
Courses offered 2.1
Study organisation 1.6
Transition to Master's studies 1.5
Research orientation 2.0
Overall study situation 1.8

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
    Bremen project work (generally development of bigger software systems in larger teams during two semesters); academic achievements are generally in the form of group work; wide selection, meaning individual specialisation is possible; close association of teaching and research (research-based learning); application orientation; interdisciplinary cooperation/lectures.
  • Exchange universities for stay abroads
    University of Melbourne, Australien; Université NICE Sophia Antipolis, Frankreich; University College Dublin - Nation University of Ireland, Irland; The University of Electro-Communications, Japan; Lulea University of Technology, Schweden; University of Ljubljana, Slowenien; Universidad Complutense de Madrid, Spanien; Charles University Prague, Tschechien; Bogazici University, Istanbul, Türkei; University of California Santa Barbara, USA
  • Special features regarding the equipment
    Departmental computer work rooms; campus-wide WiFi; work rooms for student projects with technical equipment; work stations in the nearby main library; group workspaces with Internet access; subject-specific labs (e.g. Robotics); various special labs (e.g. Spatial Cognition Virtusphere, Bremen Ambient Assistant Living Lab (BAALL), Maritime Exploration Hall, Space Exploration Hall).
  • Special features regarding research activities
    SFB "EASE: Everyday Activity Science and Engineering"; interdisciplinary research focus "Minds, Media, Machines"; Technology Centre for Computer Science and Information Technology; affiliated institutes: DFKI (areas "Robotics" and "Cyber-Physical Systems"), Institute for Information Management Bremen, Fraunhofer Institute for Image-Based Medicine; close cooperation with German Aerospace Centre; graduate colleges; research focus in teaching: Safety and Quality, Artificial Intelligence, Digital Media and Interaction, Visual and Medical Computing.
  • Support for founders
    University-wide institutions that help with spin-offs, e.g. BRIDGE. Courses from this area can be credited as "General Studies" in the degree course. Embedding the University of Bremen in the Technology Park.
  • Other special features
    Comprehensive introductory weeks for first-year students (incl. pre-courses); good contacts to lecturers ("open doors"); one of the largest research clusters in computer science in Germany; research-based learning as a guiding principle.
  • 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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