Earth System Data Science and Remote Sensing

Research- and method-oriented English-taught MSc in environmental data science and remote sensing, combining remote sensing technologies, quantitative methods, and application-focused specialisation in earth, environmental, or life sciences.

Academic requirements

GENERAL QUALIFICATION for the study programme is proven by a first professionally recognised degree qualification

Minimum GPA

No fixed minimum GPA is published on the current official programme page.

English requirements

Knowledge of English at CEFR B2 level.

German requirements

Certified knowledge of German is not required

Accepted bachelor fields

Bachelor's degree in an earth science, natural science, environmental science, or computer-science and data-science-related degree programme, with at least 35 credits from one or more of geography, earth system sciences, earth sciences, environmental sciences, life sciences, data science, ecoinformatics, remote sensing, or geographic information systems. The reviewed official page also requires prior knowledge in statistics of at least 5 credits and prior knowledge of a scripting language for computational science or a higher programming language.