Profile: Mathematical Modelling and Data Analysis


This concentration will provide a comprehensive theoretical basis and practical skills to master mathematical modelling, simulation, data assimilation and data analysis in an interdisciplinary setting.

While acquiring fundamental mathematical abilities, you will also focus on mathematics as a unifying scientific language. This allows you to formulate and communicate complex knowledge and hypotheses. This approach allows you compare theoretical results and numerical simulations with experimental data. To closely tie together mathematical theory and practice, this Master's profile will enable close cooperations with applied fields which are established research strengths of the University of Potsdam. These include the cognitive sciences, computer science, geosciences, life sciences, pharmacology and (bio)physics, among others. Current research topics cover a wide spectrum and include the modelling and analysis of eye movements during reading, the distribution of a drug's active ingredient across a body, the movement of amoebas along a nutrient gradient and problems in earthquake forecasting and climate modelling.  

Successful completion of a Master's program under this profile opens doors for the student in a wide variety of professional careers. Beyond these, students will be prepared to pursue a PhD.


Basic coursesAdvanced coursesSpecialized courses
Survey of interdisciplinary mathematics
Partial differential equations
Functional analysis
Stochastic Processes
Statistical Data Analysis
Bayesian inference and data assimilation
Numerical optimisation
Stochastic analysis
Mathematics of machine learning
Gaussian processes
Financial mathematics
Reinforcement learning
Numerics of PDEs
Theoretical systems biology
Courses from the disciplines of:
Cognitive Sciences,
Computer Science,
Life Sciences,

A more detailed description of this profile is here

Contact people

Prof. Dr. Wilhelm Huisinga
Prof. Dr. Han C. Lie