Remote Sensing, geoInformation, and Visualisation (RSIV)
Universitat Potsdam · Potsdam, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Potsdam
- Apply by
- Register by 15 August 2026
- Starts
- Winter semester
Universitat Potsdam does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 – €9,500 a year for international students.
Entry requirements and how to apply
- Entry requirements
- All information about the academic admission requirements can be found here .
- English language requirement
- B2 required, please provide an official language certificate, e.g.: UNIcert® English: UNIcert® II TOEFL iBT (before 2026): 75 TOEFL iBT Home Edition (before 2026): 75 PTE Academic: 59 IELTS Academic: 6 Cambridge English Qualifications: B2 First
- German language requirement
- A2 required, please provide an official language certificate, e.g.: telc Deutsch: telc Deutsch A2 ÖSD Zertifikat: A2 Deutsches Sprachdiplom der Kultusministerkonferenz (DSD): Deutsches Sprachdiplom A2 Reading: A2 Listening: A2 Speaking: A2 Writing: A2
- Application period
- The following is valid for applicants from: all countries For the winter semester: until 15 August
- Apply through
- Please check this website .
About this programme
This English-language Master’s degree programme focuses on the gathering, processing, analysing, and presentation of geoscientific spatial data by using remote-sensing technologies and data-processing methods. The programme uses models and theories to assess geoinformation, and then to prepare and communicate our findings with modern means of visualisation. In the Remote Sensing, geoInformation, and Visualisation Master's degree programme, you will develop an advanced understanding of remote sensing in theory and in practice. The programme begins by addressing fundamental principles in the recording and processing of spatial data as they are typically gathered by remote sensing devices. The programme teaches advanced scientific principles of geosciences, computer sciences, physics, chemistry, and biology to quantify environmental processes, the recording of remote sensing data and their interaction with the environment. The programme also teaches practical skills in the application of modern data processing methods, especially machine learning methods and big data approaches. It will grant you an overview of the broad range of available remote sensing technologies and data-processing methodologies. You will learn how to apply these technologies and methods to specific problems in (geo)scientific and applied scenarios. We use modern data visualisation tools to analyse and prepare our data, for example, in the generation of prognoses, scientific communication, and the comprehen
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