This master's specialisation brings together geoscience with computer science, image processing, geoinformatics and artificial intelligence to study the Earth from space and sensor networks. The programme trains you to observe, monitor and analyse the planet as a whole, with the goal of deriving robust, actionable options that support sustainable development and responsible environmental management.
By integrating image and geodata analysis with positioning and communication technologies, the programme teaches how to generate near‑real‑time information streams and to manage them inside geoinformation systems (GIS). These systems combine remotely sensed data with in‑situ and auxiliary information for further processing, mapping and visualization, producing information that decision makers can rely on.
The Remote Sensing and GIS track concentrates on techniques for image‑based Earth observation, advanced data analysis and the presentation of results in GIS. Graduates are prepared to apply these skills across many societally relevant domains — agriculture and forestry, environmental protection, climate‑related measures, disaster management, civil security and broader Earth‑system monitoring.
Key topics and skills
This Master's specialisation trains you to analyze images and geospatial data using artificial intelligence and optimisation techniques, with additional grounding in computer programming and foundational geomatics. The programme balances theory and hands-on work: lectures and laboratory classes in the first two semesters introduce the core disciplines—Image Analysis, Remote Sensing and Data Science—while later courses, projects and seminars emphasise application and deeper investigation.
Practical relevance is a defining feature. Coursework and supervised projects are deliberately structured to build transferable skills such as teamwork, problem-oriented working and research-oriented thinking. This combination of methodological depth and applied experience equips graduates to carry out independent research and development, whether within the university, in industry, or at research institutes.
Core modules and topics
Typical learning outcomes
Admission overview
Applicants must hold a Bachelor’s degree (or an internationally equivalent qualification) in a related subject area such as Geodesy and Geoinformatics, an engineering discipline, Geosciences, or Geography. International degrees that are judged equivalent are accepted; make sure your transcripts clearly document the content of your prior studies.
Academic preparation expected
You should have a solid grounding in basic mathematics and be familiar with geoinformation systems. Basic programming skills are required on entry and will be further developed during the master’s programme. Prior experience with digital imaging/computer vision, satellite positioning, and data processing is beneficial but not strictly mandatory.
Selection interview
Before a final admission decision, the admissions committee may invite you to a short online interview (about 20 minutes) with one of the programme’s lecturers. The interview is used to assess whether you are likely to succeed in the curriculum and to clarify any aspects of your application.
Key requirements
Winter Semester (International)
31 May 2026
Winter Semester (EU/EEA)
15 July 2026
Graduates are prepared for technical and analytical roles in geospatial fields such as remote sensing scientist, GIS specialist, geodata analyst, and spatial data scientist. Employers include environmental and urban planning agencies, forestry and agricultural organisations, disaster management and civil security bodies, private geospatial and mapping companies, and international organisations.
The programme also equips students for research and development positions in academia and research institutes, and for roles that require integration of imaging, positioning and AI methods for real-time geoinformation systems. Strong practical training and industry ties facilitate entry into both public-sector and private-sector careers in monitoring, decision support and sustainable-environment applications.