Program - Overview


Acquisition, analysis, management and interpretation of data collected for the system "Earth", its atmosphere and its hydrosphere, and the manifold of interactions nowadays is an essential requirement for solid economical development. In addition to the obvious ecological aspects the aforementioned activities also have implications for urban and regional planning, protection of property, traffic-control systems as well as facility management.

Geomatics engineering – GEOENGINE – is concerned with the acquisition, analysis, processing and presentation of spatial information, including value-adding to spatial data. It is based on general foundations in mathematics, physics and computer science. Applied subjects like representation of geo-data, positioning and navigation and geo-telematics are supported by sound theoretical foundations in theoretical geodesy, geo-methodologies and data acquisition. 

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The objective of this program is to convey profound knowledge on the theory and modelling of geo-spatial data, where the transfer of pure factual knowledge is taken into the back. The program will qualify specialists who will – after returning to their home countries – be enabled to set up basic requirements for an infrastructure of geoinformatics in specific applications and to adapt the technology to the necessities of the respective economics.

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Geomatics Engineers are professionals for advanced technologies for geospatial data acquisition and management. They are indispensable partners in urban planning, traffic management and sustainable economic development.
Therefore, the GEOENGINE Master program provides profound knowledge focused on positioning, navigation and telematics. As future executives in industry and research, graduates of this master program will also be proficient in the following:

  • Mastering state-of-the-art technology
  • Acquisition, administration and processing of geodata
  • Team management
  • Research in all fields of Geomatics Engineering

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The GEOENGINE program at Universität Stuttgart

The GEOENGINE program provides an advanced education and training for students with a Bachelor of Science degree (or comparable) in Geodesy, Photogrammetry, or Surveying Engineering. Graduates from programs similar in scope of study may be accepted subject to individual assessment.

The entire Master Program is studied in English language. It takes two years (four semesters) including a one-semester thesis research. Typically it is about 20-30 mainly international students per year. GEOENGINE has been designed to be a condensed graduate program. It attracts also people who already have finished other studies to gain expertise in the promising field of Geomatics Engineering.

University of Stuttgart offers special expertise in the fields of positioning, navigation, multisensoral integration and telematics and will impart profound knowledge. By the combination of knowledge transfer and trained skills the graduate will as well become acquainted with related fields which are of importance for the development in their home countries or other parts of the world.

Apart from the technical/scientific admission requirements a very good education in Mathematics is needed as well as great skills in any programming language (e.g. MATLAB, Fortran, C, etc.).

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The program in brief

Name Geomatics Engineering (GEOENGINE)
Profile International, Master of Science course
Research and theory related profile with adequate number of applied subjects
Final degree Master of Science (M.Sc.)
Standard period of study 24 months (4 semesters, 4 x 30 credits)
Start of course each winter semester (starting in September/October)
Number of students typically 20-30 students per year, mainly international
Language of lectures and exams English
Tuition fees 1.500 EUR per semester (only international degree seeking students from non-EU countries)
Other fees Student service fees of around 170 EUR per semester
Accreditation Fully accredited according to the European Standards and Guidelines for Quality Assurance in the European Higher Education Area in 2012


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White Paper

Cramer, M., Schwieger, V., Fritsch, D., Keller, W., Kleusberg, A., Sneeuw, N. [2013]

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