🌟 Keep Calm, we are building an AI for you. Join our FREE Community 🙂
🌟 Keep Calm, we are building an AI for you. Join our FREE Community 🙂
Complete guide to masters programs in Applied Mathematics at German universities
Masters programs in Applied Mathematics 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 Focus: Numerical Analysis, Computer Architecture and Networks, Parallel Programming, Programming of Supercomputers, Visualisation, Computational Fluid Mechanics
Area of Study: Mechanical Engineering, Computer Science, Applied Mathematics Focus: Modelling, Simulation, Optimisation, Numerics, High Performance Computing, Scientific Computing, Flow Simulation, Biomechanics, Simulation of Chemistry, Simulation of Biology
Area of Study: Applied Computer Science, Applied Mathematics Focus: N/A
Area of Study: Applied Computer Science, Applied Mathematics Focus: Geosciences, Numerical Mathematics, Physics of the Atmosphere, Physics of Liquids and Solids, Theoretical Chemistry
Area of Study: Mechanical Engineering, Applied Mathematics, Engineering Informatics Focus: Mathematical Foundations, Computational Engineering and Methods, Engineering Tracks (mandatory): Solid or Fluid Mechanics, Information Technology and others
Area of Study: Electrical Engineering, Mechanical Engineering, Applied Mathematics, Engineering Informatics Focus: Autonomous Intelligent Systems (AIS), Computational Engineering (CE), Electronic Design Automation (EDA), Computer-Aided Product Development, Simulation and Testing Engineering (SV), Wireless Communications (COM)
Area of Study: Computer Science, Applied Mathematics, Mathematics Focus: Visual Computing and Machine Learning, Embedded Computing, Software Engineering, IT security (subject to conditions, see note on the degree programme)
Area of Study: Applied Computer Science, Practical Computer Science, Applied Mathematics Focus: Big Data, Data Analysis, Data Acquisition, Data Management, Machine Learning, Internet of Things, Statistical Modelling, Visual Analytics
Area of Study: Applied Computer Science, Applied Mathematics, Statistics Focus: N/A
Area of Study: Software Engineering, Applied Mathematics Focus: Methods and Concepts of Mathematics, 25 CP (incl. Linear Algebra in Data Science, Optimisation in Data Science), Methods and Concepts of Computer Science, 25 CP (including data processing, data analysis, data management), Application Area, 15-25 CP (Image and signal processing\; Medicine\; Biology, Chemistry and Pharmacy\; Data Science in Engineering), Key Qualifications and Ethics, 5-15 CP
Area of Study: Information Systems and Management, Applied Mathematics, Statistics, Engineering Informatics Focus: Data Science, Data Science, Big Data, Data Engineering, Data Analysis, Machine Learning, Mathematics, IT Security, Artificial Intelligence, Statistics
Area of Study: Computer Science, Applied Mathematics Focus: Machine Learning, Software Development of Scalable Systems, Big - Data Technology, Statistical Data Analysis (Analytics), Scientific Computing