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TUITION FREE STUDY ABROAD PROGRAM IN GERMANY

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the top popular courses for you

Applied Geoinformatics
Master’s programme in Applied Geoinformatics is a study programme conducted by the Faculty of Regional and Environmental Science, in cooperation with the faculties of Mathematics, Computer Science and Business Informatics. It is coordinated by the Faculty of Environmental Remote Sensing and Geoinformatics, and focuses on the combined use of quantitative remote sensing methods with GIS techniques to develop advanced mapping approaches for environmental observation and monitoring
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Applied Geoinformatics 23
Master’s programme in Applied Geoinformatics is a study programme conducted by the Faculty of Regional and Environmental Science, in cooperation with the faculties of Mathematics, Computer Science and Business Informatics. It is coordinated by the Faculty of Environmental Remote Sensing and Geoinformatics, and focuses on the combined use of quantitative remote sensing methods with GIS techniques to develop advanced mapping approaches for environmental observation and monitoring
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Master of Science in Computational Mathematics
In addition to being a science in its own right, mathematics plays a fundamental role in the quantitative areas of practically all other academic disciplines, particularly in the natural sciences, engineering, business administration, economics, medicine and psychology. Mathematical results permeate nearly all facets of life and are a necessary prerequisite for the vast majority of modern technologies – and as our IT systems become increasingly powerful, we are able to mathematically handle enormous amounts of data and solve ever more complex problems. Special emphasis is placed on developing the students' ability to formalise given problems in a way that facilitates algorithmic processing. Also, they are enabled to choose or develop, and subsequently apply, suitable algorithms to solve problems in an appropriate manner. The degree programme is theoretical in its orientation, with strongly application-oriented components. Studying this programme, you can gain advanced knowledge in the mathematical areas of cryptography, computer algebra, algorithmic algebra and geometry, image and signals processing, statistics and stochastic simulation, dynamical systems and control theory as well as expert knowledge in computer science fields such as data management, machine learning and data mining. Furthermore, you will have the chance to learn how to apply your knowledge to tackle problems in areas as diverse as marketing, predictive analytics, computational finance, digital humanities, IT security and robotics.
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Master of Science in Computational Mathematics
In addition to being a science in its own right, mathematics plays a fundamental role in the quantitative areas of practically all other academic disciplines, particularly in the natural sciences, engineering, business administration, economics, medicine and psychology. Mathematical results permeate nearly all facets of life and are a necessary prerequisite for the vast majority of modern technologies – and as our IT systems become increasingly powerful, we are able to mathematically handle enormous amounts of data and solve ever more complex problems. Special emphasis is placed on developing the students' ability to formalise given problems in a way that facilitates algorithmic processing. Also, they are enabled to choose or develop, and subsequently apply, suitable algorithms to solve problems in an appropriate manner. The degree programme is theoretical in its orientation, with strongly application-oriented components. Studying this programme, you can gain advanced knowledge in the mathematical areas of cryptography, computer algebra, algorithmic algebra and geometry, image and signals processing, statistics and stochastic simulation, dynamical systems and control theory as well as expert knowledge in computer science fields such as data management, machine learning and data mining. Furthermore, you will have the chance to learn how to apply your knowledge to tackle problems in areas as diverse as marketing, predictive analytics, computational finance, digital humanities, IT security and robotics.
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BSc. Medical Engineering
Bachelor in Biomedical Engineering
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BSc. Medical Engineering
Bachelor in Biomedical Engineering
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MSc. Data Science
The MSc Data Science is an interdisciplinary programme. It is carried out jointly by the Department of Statistics and the Institute for Informatics at Ludwigs-Maximilians-Universität München. The curriculum is a modularised study programme. It comprises lectures, exercise classes, lab courses, and practicals. It also includes summer schools and focused tutorials. Semesters 1-2: Core modules Statistics and Informatics; Individual Modules (Fundamentals of Data Science); Predictive Modelling; Human Computation and Analytics Semesters 2-3: Data Ethics and Data Security; Elective Modules; Current Research in Data Science Semester 3: "Data Science Practical" Semester 4: Master’s thesis and defence
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Why Olco Study?

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