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Master English Mathematics & Natural Sciences

Remote Sensing, geoInformation, and Visualisation (RSIV)

Master

About the Program

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 comprehensive presentation of data to representatives from other disciplines as well as non-specialist decision-makers. The programme thereby offers a comprehensive, interdisciplinary understanding of geoscientific questions.
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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 comprehensive presentation of data to representatives from other disciplines as well as non-specialist decision-makers. The programme thereby offers a comprehensive, interdisciplinary understanding of geoscientific questions.

General Requirements

Specific requirements for this program are not in our database yet. The following are typical for this degree and language in Germany — always verify the exact requirements on the program's official page.

Academic qualification

A recognised Bachelor's degree in a related field; some programs require a minimum grade or specific prerequisites.

Language

English proficiency (typically IELTS ~6.5 or TOEFL iBT ~90). Basic German is helpful for daily life.

Typical documents

  • Recognised diploma and transcript (certified translations)
  • Language certificate
  • Passport and passport photo
  • Tabular CV (Lebenslauf)
  • Letter of motivation (for many programs)
  • Application via uni-assist / VPD (for most international applicants)

Which Professions Does This Program Open Up?

Related profession searches from Bundesagentur für Arbeit (BERUFENET) data:

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Subjects / Topic Areas

Geophysics

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Frequently Asked Questions

Quick answers about Remote Sensing, geoInformation, and Visualisation (RSIV) at Universität Potsdam

Is Remote Sensing, geoInformation, and Visualisation (RSIV) at Universität Potsdam taught in German or English?

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Remote Sensing, geoInformation, and Visualisation (RSIV) programme cost?

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Remote Sensing, geoInformation, and Visualisation (RSIV) at Universität Potsdam?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Remote Sensing, geoInformation, and Visualisation (RSIV)?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Universität Potsdam — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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