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, involving 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.

The MCS is fostering a synergistic advancement of all components of computing and data sciences. It will educate students to rethink and develop novel mathematical methods, algorithms, and software to use such emerging computing modalities, or to fuse models and data to extract structure from complexity across disciplines. The MCS provides the foundations of a new form of computational thinking, and it trains master students to use various computing modes and advancements in mathematics, algorithms and software to address challenges presented by science or society.

Awarded degree

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

Latest news
A consortium of European partners led by the University of Luxembourg has been selected by the EuroHPC Joint Undertaking to design and implement the first pan-European High-Performance Computing (HPC) pilot Master’s programme. Università della Svizzera italiana is a member of the consortium that will offer courses from Autumn 2022 to provide students with outstanding career perspectives in the rapidly expanding field of HPC, High-Performance Data Analytics (HPDA), or Artificial Intelligence.
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Events
25
June
2022
25.
06.
2022
30
June
2022
30.
06.
2022

Device Accelerated solvers with PETSc: current status, future perspectives, and applications

Faculty of Biomedical Sciences, Faculty of Economics, Faculty of Informatics
01
July
2022
01.
07.
2022

Scalable Gaussian Processes

Faculty of Informatics
06
July
2022
06.
07.
2022