Modelling is generally understood to mean the mathematical analysis and reproduction of processes and systems in order to better understand how they work or even to be able to make predictions. In environmental modelling, these "processes and systems" are, for example, material transports in the sea, predator-prey relationships or the earth's climate. Modelling is needed everywhere if you want to understand not only what happens, but also how and why it happens.

In the Oldenburg Master's degree course in Environmental Modelling, students learn mathematical concepts and programming directly related to the application of environmental sciences. The courses deal with theoretical ecology, climate models, modelling of population dynamics, oceanography and much more. Topics with a somewhat broader environmental focus are also included - such as renewable energies or resource economics. Students can choose from a broad catalogue of courses.

Life after university does not have to be thematically limited either. The methods, equations and algorithms learnt can also be used in other fields such as epidemiology, sociology or neuroscience.

In general, it can be said that we environmental modellers are proficient in mathematical and Computing Science tools, but are also familiar with the issues of biology and chemistry. And that is why we are so important for the increasingly interdisciplinary world of science!

The degree programme also offers a positive environment beyond the content focus. There is a very flat hierarchy between the students and lecturers. This means that there is always someone to talk to if you have any problems with content or organisation. The interdisciplinarity also creates a pleasant atmosphere, as students from different disciplines can be found on the degree programme.
With students from Environmental Sciences, Mathematics, Geoecology, Computing Science, Business Administration and Biology, there is never a dull moment.