Data & Information

Whether in logistics, medicine or mobile communications - many applications give rise to data sets of increasing size. In order to analyze and use that amount of data efficiently, new mathematical tools are required.

At the TUM Department of Mathematics, we develop and research methods for data processing and extract relevant information, specifically addressing the challenges of large data sets. Mathematics in Data Science enables the creation of forecasts, the conservation of resources and the reduction of costs in many areas of application.

Different groups in our department study Data & Information from the viewpoints of

• optimization,
• probability and statistics,
• applied harmonic analysis,
• computational topology, and
• quantum information theory.

Professors

• Ulrich Bauer
• Folkmar Bornemann
• Claudia Czado
• Massimo Fornasier
• Claudia Klüppelberg
• Robert König
• Felix Krahmer
• Fabian Theis
• Michael Ulbrich
• Elisabeth Ullmann
• Michael Wolf

Related research groups

• Mathematical Optimization
• Numeric Mathematics
• Scientific Computing
• Mathematical Physics
• Applied Geometry and Discrete Mathematics
• Geometry und Visualization
• Mathematical Modeling of Biological Systems
• Probability
• Applied and Numerical Analysis, Optimization and Data Analysis