Master of Science in Photogrammetry and Geoinformatics
Advance your expertise in spatial data processing, remote sensing, and geoinformation systems at Stuttgart University of Applied Sciences.
Best for:Best for engineering and science graduates seeking advanced technical training in photogrammetry, remote sensing, and GIS.
Overview
The Master of Science in Photogrammetry and Geoinformatics at Stuttgart Technical University of Applied Sciences is an intensive three-semester graduate programme designed to train students in modern digital photogrammetry, remote sensing, and GIS technologies. Offered by the university, the curriculum combines rigorous theoretical coursework with hands-on training using advanced analytical workstations, digital elevation modeling, and spatial data analysis. Students develop essential technical and project management skills through lectures, practical training sessions, and a comprehensive master's thesis project. The programme attracts an international cohort, preparing graduates for professional careers in geospatial engineering, environmental monitoring, and spatial data management.
What you'll do
- Engage in intensive theoretical and practical coursework covering photogrammetric technology and geographic information systems
- Process aerial images, generate digital elevation models, and create orthoimages using modern digital workstations
- Design, manage, and query spatial databases and implement custom GIS solutions
- Participate in specialized training practices and hands-on laboratory sessions in GIS and photogrammetry
- Conduct a full-time research project and author a master's thesis accompanied by a research seminar
Requirements
Degree required: Bachelor's degree in Civil Engineering, Geodesy, Geography, Agriculture, Forestry, or a corresponding discipline related to photogrammetry, remote sensing, or GIS
Degree offered: Master of Science
Language: English; B2 level required, demonstrated via official certificate such as IELTS Academic 6 or TOEFL iBT
Instruction: English
- Solid foundation in mathematics
- Good computer skills and technical aptitude
- Academic background in a spatial science, engineering, or related field
- Applicants must hold an eligible bachelor's degree or equivalent qualification
Funding & terms
Programme and admissions
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How to apply
Deadline: 2026-07-15
Prepare all required application documents and submit them via email to the designated admissions address before the relevant deadline.
- CV
- Bachelor's degree certificate and transcripts
- Official English language certificate
Contact
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