Structure and contents

The Master in Computational Science (MCS) program is an exciting new approach to understanding complex systems in a broad range of knowledge areas, including the natural and physical sciences, the social sciences, the life sciences, management science and medical science. By integrating computer simulation, mathematical modelling, and data analysis, recent developments in computational science are making possible what was unthinkable only a few years ago. Problems that are inaccessible to traditional experimental and empirical methods can now be addressed thanks to new techniques in algorithmic modelling and the increasing speed of modern computers.

The MCS program combines courses from computer science, mathematics, statistics, and data analysis to build application-oriented competencies in simulation science and data science. Students enrolled in the MCS program acquire valuable and much sought-after analytical skills through direct involvement in modelling projects addressing a wide range of real-world problems spanning many interdisciplinary applications.

The program introduces students to the university's blend of innovative scientific research and real-world applications, thus providing an excellent foundation for a career in industry and science. Students may emphasize numerical software, mathematical modelling, deterministic and probabilistic theory, computer simulation, or data science. Our graduates are ready to pursue professional careers in research, engineering, scientific computing, data science, data and business analytics, computational medicine, and information systems.

For the master's thesis, students can participate in ongoing research projects at the Institute of Computing at the Faculty of Informatics or the Euler Institute. Topics include, e.g., Statistical Computing, High-Performance Computing, Multiscale Modelling, Computational Engineering, Optimization, High-Dimensional Data Analysis and Computational Finance. Interested students will also be given the possibility to participate in ongoing research projects. Elective courses and the master thesis allow students to tailor their learning experience to their individual interests and professional objectives while creating innovative combinations of knowledge across multiple disciplines.

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