Master in Computational Science

 

Overview

 

 

Master in Computational Science

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The Master of Science degree in Computational Science (MCS) at the Università della Svizzera italiana (USI) offers students the opportunity to acquire an in-depth understanding and set of skills in computational science, numerical simulation, applied mathematics, statistics, and data science.  It provides an innovative combination of methodological and applied competencies in both computational and data science, which endow students with the knowledge and skills that are needed to operate at the forefront of science and industry.

Computational Science is not to be confused with Computer Science, which deals with the science and engineering of computers. Computational Science represents a broader approach to interdisciplinary problems and projects, using computer simulations in model based approaches that represent the interaction between theory and experiment.

Goal and Content

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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 modeling, numerical analysis, and data analysis, recent developments in computational science are making possible what was unthinkable only few years ago. Problems that are inaccessible to traditional experimental and empirical methods can now be addressed thanks to new techniques in algorithmic modeling and the increasing speed of modern supercomputers.

The MCS program combines courses from computer science, mathematics, statistics and data analysis to build application-oriented competences in simulation science and data science. Students enrolled in the MCS program acquire valuable and much sought-after analytical skills through direct involvement in modeling 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 modeling, 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 ICS,  the IDIDS, or the Faculty of Informatics. Topics include Numerical Analysis, High-Performance Computing, Geo-Science, Computational Engineering, Optimization, Computational (Bio-) Mechanics and Fluid-Mechanics, Computational Medicine, Drug-Design, Computational Finance, or Shape Analysis. 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.

Awarded Degree

After the successful completion of the programme, students will be awarded a Master of Science in Computational Science.

News

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    More than 50 participants at the 2016 FoMICS winter school on Uncertainty Quantification

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