This English-taught Master's programme is delivered by the Faculty of Regional and Environmental Science in close cooperation with the faculties of Mathematics, Computer Science and Business Informatics, and is coordinated by the Environmental Remote Sensing and Geoinformatics lab and the Spatial Data Sciences lab. The curriculum trains students in the integrated use of quantitative remote sensing and GIS techniques to develop advanced mapping and monitoring approaches for environmental observation. Particular strengths include geospatial technologies, remote sensing methodologies and visualisation.
The programme requires 120 ECTS and is built around ten compulsory core courses plus six to eight electives, which together correspond to 16–18 graduate course units. Electives let you tailor your studies to specific interests—examples include advanced remote sensing methods, survey statistics and database technologies. The degree is completed with a scientific Master’s project that must be carried out and successfully defended.
This Master’s is aimed at students with a Bachelor’s in Geoinformatics or a related discipline who want to deepen methodological and computational skills. Graduates are prepared for technical and advisory roles in public and private sectors (for example consultant agencies, insurance companies and other organisations) and are well equipped to pursue PhD programmes or research positions at national and international universities and research institutions.
Requirements (concise)
This programme combines a focused core curriculum with flexible specialization options. Nine compulsory core units (totaling 75 ECTS) build the technical foundation through lectures, laboratory exercises and seminar work; an additional support unit is explicitly provided to help students complete the Master's thesis. Core topics include geospatial programming, multi- and geospatial statistics, numerical methods for geoscientists, and two stages each of environmental remote sensing and earth observation data science, all designed to give practical hands‑on skills with current geoinformatics tools and workflows.
The elective portion (45 ECTS) allows you to tailor the degree by selecting six to eight courses from a broad catalogue of 19 options across geoinformatics, geography/environmental sciences, computer science and related fields. Electives span advanced remote sensing applications, time‑series and forest remote sensing, geospatial visualisation and data analysis, as well as computing topics such as databases, big data analytics, machine learning and data mining. There are also opportunities for an off‑campus internship and for taking university‑wide free electives (up to 10 ECTS) to broaden your profile.
Learning outcomes include the ability to design and implement geospatial software, analyse and visualise earth observation and spatial data, apply multivariate and spatial statistical methods, and use numerical techniques relevant to geosciences. The programme emphasises independent research and project work (culminating in the Master’s thesis), preparing graduates for technical roles in industry, applied environmental and earth observation research, or further academic study.
Requirements and key modules
This programme is intended for students who already hold an undergraduate degree in the core subject area or for those from closely related disciplines who possess relevant technical background. It is aimed at applicants prepared to engage with advanced geoinformatics topics that rely on quantitative, computational, and remote-sensing skills.
If your bachelor’s degree is in a field other than geoinformatics, you must already have grounding in several relevant areas to be eligible. The programme expects incoming students to bring prior knowledge in technical and analytical subjects that underpin geoinformatics methods.
Winter Semester (International)
31 May 2026
Summer Semester (International)
15 January 2026
Winter Semester (EU/EEA)
15 September 2026
Summer Semester (EU/EEA)
15 March 2026
Graduates acquire advanced methodological and computational skills in remote sensing, GIS, statistics and geospatial data science that are directly applicable in public authorities, environmental agencies, consultancy firms, insurance companies and private industry working with spatial data. The programme's emphasis on applied mapping, data processing and visualisation also makes alumni valuable in roles such as GIS analyst, remote sensing specialist, data scientist for environmental applications, or technical consultant.
For students aiming at research, the MSc provides a solid foundation to pursue PhD studies and positions in national and international universities or research institutions, supported by the programme’s lab partnerships and the research orientation of the master’s thesis.