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  4. Electrical / Information Engineering
  5. FH Salzburg/Urstein (A)
  6. Studiengang Applied Image & Signal Processing
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Electrical / Information Engineering, Department

Studiengang Applied Image & Signal Processing at the FH Salzburg/Urstein (A)

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Basic information

Total number of students 20 *
Number of master degree students 20
Percentage of teaching by practitioners no data

Support during the study entry phase

Total score for support in the study entry phase no data available

Results of study

Graduations in appropriate time, undergraduate degrees no bachelors' degree programme
Graduations in appropriate time, master's <10 graduades/year in at least one of the years surveyed; source: department survey

International orientation

International orientation, bachelor's no bachelors' degree programme
International orientation, master's 9/9 points
Outgoing students 5.0 %

Job market- and career-orientation

Contact with work environment, bachelor's no bachelors' degree programme
Contact with work environment, master's 2/11 points
Bachelor theses in cooperation with work environment 50.0 %
Master theses in cooperation with work environment 50.0 %
Share of professors with work experience 50.0 %


Third party funds per professor no data
Cooperative doctoral degrees (in three years) 1

Students' assessments on undergraduate, presence-learning-courses

Teacher support
Support in studies
Courses offered
Study organisation
Job market preparation
Support during practical semester
Support for stays abroad
Overall study situation

Students' assessments on consecutive master's degree courses

Teacher support
Support in studies
Courses offered
Study organisation
Transition to Master's studies
Support for stays abroad
Overall study situation

Degree courses without details

Further degree courses of the department yes, please see department website
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About studying Electrical / Information Engineering in Germany
About the subject

Further information provided by the department

  • Special features regarding teaching
    Elective Courses: Medical Imaging, Platfrom Specific Signal Processing, Data Science, Biometric Systems, Media Security, Computational Geometry, Machine Learning. The STG actively researches and publishes in these fields, and there are numerous industrial cooperations and projects (FFG, FWF, EU). Each student chooses at least 2 elective courses and, as part of a free elective course, can freely choose another 6 ECTS credits from the English-language offerings.
  • Special features regarding the international orientation
    The STG is taught entirely in English and is aimed at an international target group. Students currently come from countries in Europe and Asia and from Canada. The International Office of the Salzburg University of Applied Sciences establishes contacts with students from other STGs, and numerous language courses (German) are offered as well as regional events.
  • Exchange universities for stay abroads
    Vilnius Gediminas Technical University (VGTU)
  • Special features regarding the equipment
    The STG benefits from the excellent laboratory structure of the STG Information Technology and Systems Management, under whose leadership it was established. All students also have access to PC rooms and many software licenses (matlab, visual studio,...).
  • Special features regarding research and development
    The department is involved in several research projects. On the university side, there are FWF projects in the areas of Media Security and Biometrics, Image Processing, Computational Geometry, and on the universities of applied sciences side there are R&D projects (FFG, contract research) with several international industrial partners in the areas of Medical Imaging, Data Science, Signal Processing.
  • Support for founders
    The Startup-Center of the Salzburg University of Applied Sciences is available to all STG students as an information and advice centre.
  • 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 2019: Data collected by the CHE Center for Higher Education.
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