Graduates will possess a wealth of knowledge of advanced mathematics and statistics.
#Stochastic methods professional#
Thanks to the project, students will have a deeper insight into the whole issue and often arrive at unique results publishable in professional periodicals.Ī complex knowledge of modern mathematics, stochastics, physics, and informatics is a good start position for an even more advanced degree and for jobs using this body of knowledge, and mathematical methods in particular, for being successful in research or commerce. Part of the degree course is an individual project on an given topic assigned to each student. The courses provide a deeper insight into the areas concerned and, therefore, will provide a sufficient overview of the present state of the issues. In practice, the mathematical apparatus designed is to be used for processing and evaluating general statistical data, estimating statistical characteristics based on sampling, and also applied to advanced methods of interactions in particle systems, statistical prediction of defects in materials, control and modelling of traffic flow, and evaluation methodology for statistical data on reliability and extreme events, and data from particle accelerators. The theory taught is only a background to practical issues to be solved by effective application of the theory. The master programme covers courses on the theory of informatics, regression analysis, generalized linear models, and in specialized disciplines of mathematics and statistics. The programme is a follow-up to the Bachelor´s Degree Course. Students are also trained to apply mathematical statisctics and mathematics to natural sciences or engineering and commercial practice. It is oriented towards building up an advanced theoretical apparatus of mathematical statistics and other fields of mathematics and towards analysing practical issues the solution of which enables effective application of the theory studied.
The Continuation Master Course in Applied Mathematical Stochastic Methods lays stress on mathematical stochastic methods and their practical applications. Course duration: 2 years Degree Course Characteristics
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