View all MSc Programs in Computational Mathematics 2019 in Passau in Germany
The Master of Science, or MSc, is an academic degree awarded to those who effectively complete about two years of intensive study on a given topic. Many MSc courses offer a combination of classroom and research-based curriculum.
Germany is a great destination for international scholarsand has a high quality higher education system. The value of this level of education has been improved by the Germany's strong economy. Foreign students enjoy excellent living standards in a secure and safe surroundings. Berlin is the capital.
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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, particularl
About the programme
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 students' ability to formalize given problems in a way that facilitates algorithmic processing as well as enabling them 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....