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  4. Electrical / Information Engineering
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  6. Fakultät für Elektrotechnik und Informationstechnik
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Electrical / Information Engineering, Department

Fakultät für Elektrotechnik und Informationstechnik at the Uni Magdeburg

  • Universitätsplatz 2
  • 39106 Magdeburg
  • Phone: +49 391 671-8641
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Basic information

Total number of students 890
Number of master degree students 340
Percentage of teaching by practitioners no data
Percentage of teaching by practitioners, master's no data

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 88.5 %
Graduations in appropriate time, master's 66.9 %

Job market- and career-orientation

Contact with work environment, bachelor's no data
Contact with work environment, master's no data
Bachelor theses in cooperation with work environment no data
Master theses in cooperation with work environment no data


Publications per academic no data
Citations per publication no data
Third party funds per academic no data
Doctorates per professor no data

Students' assessments on undergraduate, presence-learning-courses

Teacher support
Support in studies
Courses offered
Study organisation
Digital teaching elements
Research orientation
Job market preparation
Overall study situation

Students' assessments on consecutive master's degree courses

Teacher support return rate too low
Support in studies return rate too low
Digital teaching elements return rate too low
Courses offered return rate too low
Study organisation return rate too low
Transition to Master's studies return rate too low
Research orientation return rate too low
Overall study situation return rate too low

Degree courses without details

Further degree courses of the department none
did you know?
About studying Electrical / Information Engineering in Germany
About the subject

Further information provided by the department

  • Special features regarding teaching
    Due to the close relationship between aspects of Computer Science and Energy Engineering, the study of modern developments deals with increasingly complex electronic systems. The course therefore includes a particular focus on teaching basic knowledge and specialist knowledge as well as acquiring the ability to work using scientific methods, to independently get to grips with the many different tasks associated with application and development and to master the frequently changing tasks arising in the course of everyday work; Contact with other subjects
  • Special features regarding the international orientation
    ERASMUS cooperation with Eindhoven University of Technology/Netherlands; ERASMUS cooperation with University College Cork/Republic of Ireland; close cooperation with Wrocław University of Technology/Poland, [Donetsk National Technical University (Ukraine) currently not possible], Kharkov National Technical University (Ukraine).
  • Special features regarding the equipment
    There are high-quality laboratory facilities, the largest absorber hall [electromagnetic compatibility] at a German university, a fuel-cell laboratory, capabilities for image processing and medical technology, all of it used in research and instruction. This means that the students can be offered laboratory practicals in all the major fields. This concerns basic studies as well as subsequent specialist studies. There are computer rooms with subject-specific software, meaning that there are good conditions for computer-supported exercises.
  • Special features regarding research activities
    Robotics and Energy Engineering, Drive and Communications Engineering is researched and taught within the framework of the automation of industrial process (e.g. Biotechnology), the development and miniaturisation of sensors as well as software development and simulation. There are ultramodern laboratories for alternative electric energy sources (e.g. photovoltaics, wind energy, fuel cells), power electronics and electromagnetic compatibility (anechoic chamber), image processing and neurocomputing, cognitive systems (language processing), microsystems technology and medical technology (including CT, MRI).
  • Support for founders
    Technology and start-up centre of the OVGU, state project ego.start, support and coaching of start-ups
  • Other special features
    The versatility in research and teaching is reflected in the numerous links to other types of Engineering and to Natural Sciences, Medicine and Economics. The faculty works closely with national and international research facilities, e.g. there are close links to the Max Planck Institute for Dynamics of Complex Technical Systems, the Fraunhofer Institute for Factory Operation and Automation, the Institute for Automation and Communication, and other research facilities in the town of Magdeburg. Volunteer mentors.
  • Further information on research activities
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(S)-Students' judgements  (F)-Facts  (P)-Professors' judgements
Last update 2022: Data collected by the CHE Center for Higher Education.
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