skip to content

Earth System Sciences

Research in Cologne

The research in Earth System Sciences in cologne covers all aspects and scales of the Earth system. The Institute for Geophysics and Meteorology investigates the physics of the atmosphere and electromagnetic methods for the exploration of the solid earth. The Institute for Geology and Mineralogy has expertise in numerical mineralogy and, with the Earthquake station also in seismology and planetary structure.

All areas of the Earth Sciences in Cologne are involved in interdisciplinary and high-quality research collaborations and projects. Examples are the Key Profile Area Intelligent Systems for Earth System Sciences and the Sonderforschungsbereiche SFB 1211, SFB/Transregio 172 and SFB 806.

Contents within the Master Program

Students will gain advanced knowledge of the Earth System, ranging from the Earth’s core over its atmosphere towards the magnetosphere as well as from microscopic particle structures towards large scale weather and climate systems.

Modules and Study Paths

Students will have to choose 30 CP from the following set of modules:

Physical Climatology

Clouds and Precipitation

Atmospheric Dynamics and Modeling

Advanced Remote Sensing

Atmospheric Boundary Layer

Physics of the Atmosphere

Atmospheric Chemistry


Electrical and Electromagnetic Methods of Applied Geophysics

Advanced Geophysical Field Course

Experimental and numerical Mineralogy


Geophysics of the Solar System

The choice of modules ensures that students will learn advanced concepts of Earth Sciences. Students may choose to focus on atmospheric physics or geophysics and mineralogy. It is also possible to put a focus on data driven and observational areas or simulation driven areas. Entirely independent choices based on personal interests are also possible.

A possible exemplary study plan could look like this:

Which topics in Mathematics/Computer Science suit this Area of Spezialization?

Examples for suitable courses for Earth System Sciences could come from the areas of Numerical Mathematics and Scientific computing, Data Analysis and Modelling, Artificial Intelligence and Visual Analytics or Algorithms.