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Complete guide to masters programs in Mathematics & Statistics at German universities
Masters programs in Mathematics & Statistics 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: Mathematics, Statistics, Business Mathematics, Financial Management, Insurance, Economic Sciences, Economics, Business Management, Organization Management Focus: Financial Mathematics, Insurance Mathematics, Corporate Control, Risk Management, Insurance Sciences, Computer Science, Digitalisation, Data Science, Big Data, Business Analytics
Area of Study: Information Systems and Management, Statistics, Economic Sciences, Economics Focus: Business Informatics, Statistics, Business Intelligence, Machine Learning, Data Literacy, Principles of Programming, Big Data, Adaptive Learning Systems
Area of Study: Statistics Focus: Statistical Methods, Data Mining, Multivariate Data Analysis, Reporting & Visualisation
Area of Study: Applied Mathematics Focus: Mathematics with natural science or technical application subject, Business Mathematics
Area of Study: Applied Mathematics Focus: Numerics, Optimisation, Modelling, Partial Differential Equations, Risk Management, Financial Engineering, Insurance Mathematics, Statistics, Data Science
Area of Study: Applied Mathematics Focus: Finance, Insurances, Operations Research and Stochastics, Engineering Mathematics
Area of Study: Applied Mathematics Focus: N/A
Area of Study: Practical Computer Science, Technomathematics Focus: Applied Mathematics, Scientific Computing, Technology
Area of Study: Applied Computer Science, Applied Mathematics Focus: Cryptography, Mathematical Network Analysis, Computational Intelligence, Data Compression
Area of Study: Sociology, Social Science, Statistics, Business Administration, Accounting, Taxation, Controlling, Economics Focus: N/A
Area of Study: Engineering and Management, Computer Science, Mathematics, International Business Administration Focus: Programming & Software Engineering, Machine Learning & Applied Statistics, Business Operations & Logistics, Digitale Perfomance Marketing & Automation, Agile Project Management & Design Thinking, Artificial Intelligence & Deep Learning, Business Intelligence for Big Data & MLOps, Electives, IT Architectures, Cloud & IT Management, eCommerce, CRM & Lead Management
Area of Study: Mechatronics, Computer Science, Information Systems and Management, Mathematics Focus: N/A