To study real world systems is generally to study the dynamics of complex systems consisting of many interacting components. Examples of such systems are found in both natural and social sciences and include phenomena such as the global climate, interacting species in ecosystems, and the dynamics of financial systems to mention some.

The aim of the master's program is to provide a broad and thorough introduction to the theory of complex systems and its applications to the world around us. The program is based on a physics perspective with a focus on the general principles, while also being interdisciplinary with available courses on information theory, computer science and optimization algorithms, ecology and genetics as well as adaptive systems and robotics.