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.

Research areas

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
• Mathias Drton
• Massimo Fornasier
• Claudia Klüppelberg
• Robert König
• Felix Krahmer
• Fabian Theis
• Michael Ulbrich
• Elisabeth Ullmann
• Michael Wolf
• Johannes Zimmer

Related research groups

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