Here we list the main subjects. For more detailed information, please refer to the "Information Portal: Teaching" (in German: Informationsportal Lehre) and the subject-specific study regulations (in German: fachspezifische Studienordnung). Furthermore, an individual study plan hast to be drawn up.

• Mathematical Compulsory Modules
  • Mathematical Foundations of Data Science
  • Seminar Mathematical Data Science
  • Master Seminar
  • Master Thesis

• Elective Modules
  • Complex Advanced Mathematical Methods in Data Science (at least 3 modules), e.g.:
    • Graph Theory
    • Neural Networks and Learning Theory
    • Mixed-Integer Programming
    • Scientific Computing
    • Mathematical Statistics
    • Stochastic Processes
    • Algebra: Structures and Algorithms
    • Coding Theory
    • High-Dimensional Statistics
  • Complex Fundamentals of Data Science (at least 3-4 modules), e.g.:
    • Foundations of Data Mining
    • Cryptography
    • Introduction to Neural Signal Analysis
    • Logic in Databases 
    • Information Retrieval
    • Virtual Reality and Agents
    • Functional Analysis
    • Image Processing and Computer Vision
    • Introduction to Numerical Linear Algebra
    • Differential Geometry
    • Causal Data Science in Business and Economics
  • Complex Data Science Applications (at least 2-3 modules), e.g.:
    • Control Engineering 1
    • Control Engineering 2
    • Seminar Advanced Topics in Network and System Security
    • Network and System Security
    • Control Technology for Processes and Networks
    • Brain-Computer Interfaces (BCIs) for Neuroadaptive Technology
    • Biological Neuronal Networks
    • Advanced Database Models
    • Data Warehouses
    • Introduction to Computational Neuroscience
    • Foundations of Psychophysiology
    • Cognitive Systems: Behavior Control
    • Project Laboratory Control and Network Control Technology
    • Lab Control Engineering
    • Introduction to Cyber Security
    • Bioinformatics: Artificial Intelligence and Algorithmic Approaches
    • Artificial Intelligence for Drug Design
    • Computing at Scale in Machine Learning: Distributed Computing and Algorithmic Approaches

• Interdisciplinary studies (in German: Fachübergreifendes Studium)