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Complete guide to masters programs in Computer Science & IT at German universities
Masters programs in Computer Science & IT provide comprehensive education combining theoretical foundations with practical applications. These programs typically last 1-2 yearsand prepare graduates for various career paths in academia, industry, and research.

Area of Study: Computer Science, Applied Mathematics, Statistics Focus: Algebra, Geometry and Cryptography, Mathematical Logic and Discrete Mathematics, Analysis, Numerics and Approximation Theory, Dynamical Systems and Optimisation, Stochastics, Statistics, Data Analysis and Data Management and Programming, Key Competencies and Language Training, Applications

Area of Study: Civil Engineering, Mechanical Engineering, Applied Computer Science Focus: Artificial intelligence & Uncertainty Quantification, Civil Engineering, Mechanical Engineering, Automotive and Aerospace Engineering, Biomechanics

Area of Study: Information Technology, Engineering Informatics Focus: N/A

Area of Study: Electrical Engineering, Mechanical Engineering, Software Engineering, Applied Mathematics Focus: N/A

Area of Study: Information Technology, Communications Technology, Engineering Informatics Focus: Computer Science, Mathematics, Mechanics, Modelling, Simulation

Area of Study: Information Technology, Communications Technology, Engineering Informatics Focus: Mathematics, Computer Science, Mechanics, Modelling, Simulation

Area of Study: Mechanical Engineering, Applied Computer Science, Bioinformatics, Computer Science, Applied Mathematics Focus: Computational Life Sciences, Computer Mathematics, Visual Computing, Computational Engineering, Computational Modelling in Energy Economics, Logic Modelling, Applied Artificial Intelligence (from winter semester of 2023/24)

Area of Study: Neuropsychology, Computer Science Focus: Computational Neuroscience, Neurobiology, Computer Science, Bioinformatics, Neuroinformatics, Artificial Intelligence, Neurophysics

Area of Study: Computer Science, Physics Focus: Scientific Computing, Algorithms, Data Structures, Programming, Methods in Theoretical Physics, Introduction to Data Science, Subject-related methodology, Physics of Solar Cells, Attention and Eye Movements, Introduction to AI, Image Understanding, Neurocomputing, Robotics

Area of Study: Computer Science Focus: N/A

Area of Study: Engineering Informatics Focus: Infotronics, Communication and Media Technology, Media Systems Engineering, Scientific Computing, Software Engineering for Embedded Systems

Area of Study: Computer Science, Applied Mathematics Focus: Numerical Analysis, Computer Architecture and Networks, Parallel Programming, Programming of Supercomputers, Visualisation, Computational Fluid Mechanics