The aim of the curriculum is to offer a broad education as well as an individualised specialisation. This can be realised by choosing from a variety of courses in the two major profiles:
- Structures in Mathematics Inspired by Physics
- Mathematical Modelling and Data Analysis
These profiles provide a consistent list of base and advanced modules that are taught on a regular basis. Each individual curriculum can be composed of modules from one profile or both. In addition, there are further modules to choose from, which are not part of these profiles but offer complementing foundational content or research-based specialisations. Furthermore, students have the possibility to attend courses at the universities of Berlin and count the courses towards this programme.
For assistance in planning their curricula, you can approach the student advisory service and their mentors, or you can attend the welcome event.
You can find a detailed description of the programme here.
Profile: Structures in Mathematics Inspired by Physics
The fundamental science of physics has an abundance of unanswered mathematical questions, spanning the range from general relativity to quantum mechanics and quantum field theory. These questions have sparked fascinating new developments in many branches of mathematics, such as analysis, geometry and probability theory. In the Structures in Mathematics Inspired by Physics specialisation, students will learn the basics and apply them to today's most active research fields.
The basic concepts are taught in courses offered each year in the branches of Differential Geometry, Functional Analysis, Partial Differential Equations, and Probability Theory. In advanced courses towards the end of the programme, students can further specialise in two or more of these branches. Lectures and seminars on current research topics, some held jointly with the Albert Einstein Institute for Gravitational Physics, offer a glimpse into current research.
Profile: Mathematical Modelling and Data Analysis
This profile provides a comprehensive theoretical basis and practical competencies to master mathematical modelling, simulation, data assimilation, and data analysis in an interdisciplinary setting.
While acquiring fundamental mathematical skills, students will also focus on mathematics as a unifying scientific language. This allows them to formulate and communicate complex knowledge and hypotheses and to compare theoretical results and numerical simulations with experimental data. This closely ties together mathematical theory and practice. Thus, the Master's profile will enable close cooperation with applied fields that are established research strengths of the University of Potsdam. These include Cognitive Sciences, Computer Science, Geosciences, Life Sciences, Pharmacology, and (Bio)physics among others.