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Piano degli studi Master in Computational Science (MCS)
Questa pagina contiene informazioni destinate agli studenti già immatricolati.
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Piano degli studi Master in Computational Science (MCS)
Il piano degli studi (o anche "piano di studio" o "piano dei corsi") del Master contiene le indicazioni sulla struttura del percorso formativo.
Il contenuto è disponibile solo in lingua inglese.
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Study plan 2023-2025
The Master in Computational Science programme consists of four semesters across two years of full-time study (120 ECTS). It offers courses in numerical mathematics and computer science and a wide range of more application-oriented courses. It finishes with a master’s thesis in the form of a half–year project worth 30 ECTS, which can be carried out in an industrial or research setting.
Designed to align with student's unique interests and career goals, the programme offers three specialised tracks for a targeted educational experience:
- High-Performance Computing (HPC)
- Data Science
- Simulations
Each track features a tailored study plan to ensure an enriching educational experience. Under the guidance of the MCS study coordinator, students are encouraged to formulate individualised study plans that incorporate relevant elective courses.
With the guidance of the Master Director, students will be encouraged to set up an individual study plan that includes appropriate elective courses. The Master Director will advise and accompany students through the entire two-year course of study.
For students who require special provisions, modifications to the track curriculum can be arranged following discussions with MCS Study Coordination and program director(s).
High-Performance Computing Track
This track concentrates on large-scale computing and optimisation techniques, equipping students for careers in sectors that demand high computational capabilities.
First Semester
30
Mandatory
24
6
6
6
6
Electives
6
3
Scattered Data Approximation
or
Artificial Intelligence3
or
6Second Semester
30
Mandatory
24
6
6
6
6
Electives
6
Third Semester
30
Mandatory
24
6
6
6
6
Electives
6
Fourth Semester
30
Mandatory
24
Master Thesis
24
Electives
6
Please be aware that slight changes in the study programme may occur.
For students who require special provisions, modifications to the track curriculum can be arranged following discussions with MCS Study Coordination and program director(s).
Data Science Track
This track focuses on the analysis and interpretation of data to understand complex systems and relationships, suitable for those interested in studying interconnected phenomena.
First Semester
30
Mandatory
24
6
6
6
6
Electives
6
3 Scattered Data Approximation
or
Artificial Intelligence3
or
6Second Semester
30
Mandatory
18
6
6
6
Electives
12
6
Other
6
Third Semester
30
Mandatory
24
6
6
6
6
Electives
6
Fourth Semester
30
Mandatory
24
Master Thesis
24
Electives
6
Please be aware that slight changes in the study programme may occur.
For students who require special provisions, modifications to the track curriculum can be arranged following discussions with MCS Study Coordination and program director(s).
Simulations Track
Centres on the development and interpretation of simulations, applicable in diverse fields such as engineering and biomedical research.
First Semester
30
Mandatory
24
6
6
6
6
Electives
6
3
Scattered Data Approximation
or
Artificial Intelligence3
or
6Second Semester
30
Mandatory
24
6 6
6
6
Electives
6
Third Semester
30
Mandatory
12
6
6
Electives
18
Fourth Semester
30
Mandatory
24
Master Thesis
24
Electives
6
Please be aware that slight changes in the study programme may occur.
For students who require special provisions, modifications to the track curriculum can be arranged following discussions with MCS Study Coordination and program director(s).
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Study plan 2022-2024
The Master in Computational Science programme consists of four semesters across two years of full-time study (120 ECTS). It offers courses in numerical mathematics and computer science, together with a wide range of more application-oriented courses. It finishes with a master’s thesis in the form of a half–year project worth 30 ECTS, which can be carried out in an industrial or research setting.
With the guidance of the Master Director, students will be encouraged to set up an individual study plan that includes appropriate elective courses. The Master Director will advise and accompany students through the entire two-year course of study.
First Semester
Mandatory (21 ECTS)
6 6 3 6 Electives (9 ECTS)
3 6 6 6 6 6 3 6 6 6 6 3 Second Semester
Electives (30 ECTS)
6 6 6 6 6 Effective High-Performance Computing & Data Analytics Summer School
4 3 6 3 6 3 3 3 6 6 6 Third Semester
Mandatory (6 ECTS)
6 Electives (24 ECTS)
3 6 6 6 6 6 3 6 6 3 6 6 Uncertainty Quantification
3 Fourth Semester
Mandatory (24 ECTS)
24 Electives (6 ECTS)
Advanced Computer Architectures
6 6 6 6 6 6 Databases
6 Effective High-Performance Computing & Data Analytics Summer School
4 6 3 6 3 3 3 6 6 Scientific Learning
6 Software Atelier: Simulation, Data Science & Supercomputing
6 Stochastic Methods
6 6 Please be aware that slight changes in the study programme may occur.
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Study plan 2021-2023
The Master in Computational Science programme consists of four semesters across two years of full-time study (120 ECTS). It offers courses in numerical mathematics and computer science, together with a wide range of more application-oriented courses. It finishes with a master’s thesis in the form of a half–year project worth 30 ECTS, which can be carried out in an industrial or research setting.
With the guidance of the Master Director, students will be encouraged to set up an individual study plan that includes appropriate elective courses. The Master Director will advise and accompany students through the entire two-year course of study.
First Semester
Mandatory (21 ECTS)
6 6 3 6 Electives (9 ECTS)
3 6 6 6 3 6 3 6 6 3 3 Second Semester
Electives (30 ECTS)
6 6 6 6 6 Effective High-Performance Computing & Data Analytics Summer School
4 3 6 3 6 3 3 6 3 6 6 6 6 Third Semester
Mandatory (6 ECTS)
6 Electives (24 ECTS)
3 6 6 6 6 3 6 6 3 6 6 3 3 Fourth Semester
Mandatory (24 ECTS)
24 Electives (6 ECTS)
6 Advanced Topics in PDEs
3 6 6 Data Analytics
6 Effective High-Performance Computing & Data Analytics Summer School
6 3 6 3 6 3 6 Please be aware that slight changes in the study programme may occur.
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Study plan 2020-2022
The Master in Computational Science programme consists of four semesters across two years of full-time study (120 ECTS). It offers courses in numerical mathematics and computer science, together with a wide range of more application-oriented courses. It finishes with a master’s thesis in the form of a half–year project worth 30 ECTS, which can be carried out in an industrial or research setting.
With the guidance of the Master Director, students will be encouraged to set up an individual study plan that includes appropriate elective courses. The Master Director will advise and accompany students through the entire two-year course of study.
First Semester
Mandatory (30 ECTS)
6 3 3 6 6 6 Second Semester
Mandatory
6 3 3 6 6 6 Third Semester
Mandatory (15 ECTS)
6 6 3 Electives (15 ECTS)
3 6 3 6 Distributed Algorithms II - Protocol and Techniques for Blockchains
3 6 6 3 Fourth Semester
Mandatory (24 ECTS)
24 Electives (6 ECTS)
6 3 Effective High-Performance Computing & Data Analytics Summer School
6 3 6 6 3 6 3 Please be aware that slight changes in the study programme may occur.
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Study plan 2019-2021
The Master of Science in Computational Science programme consists of four semesters of full-time study (120 ECTS). It offers courses in numerical mathematics and computer science, together with a wide range of more application-oriented courses. It finishes with a master’s thesis in the form of a half–year project, worth 30 ECTS, which can be carried out in an industrial or research setting. Selected block courses are taught by distinguished professors from other prominent academic institutions and international research centres, e.g., Stanford, University of Erlangen, University of Texas at Austin, The University of British Columbia, or Massachusetts Institute of Technology (MIT).
With the guidance of the Master Director, students will be encouraged to set up an individual study plan that includes appropriate elective courses. The Master Director will advise and accompany students through the entire two-year course of study.
First Semester
Mandatory (30 ECTS)
6 3 3 6 6 6 Second Semester
Mandatory (21 ECTS out of 24 ECTS)
6 3 Software Atelier: Simulation, Data Science & Supercomputing*
6 6 6 Electives (9 ECTS)
6 3 6 Effective High-Performance Computing & Data Analytics Summer School
6 Functional and Numerical Analysis (FOMICS block course) 3
3 6 6 6 Third Semester
Mandatory (15 ECTS)
6 6 3 Electives (15 ECTS)
3 6 3 6 6 6 3 Fourth Semester
Mandatory (24 ECTS)
24 Electives (6 ECTS)
6 3 6 Effective High-Performance Computing & Data Analytics Summer School
6 3 6 6 6 6 * The course is not offered in the Academic Year 2019/20
Please be aware that slight changes in the study programme may occur.
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Study plan 2018-2020
Study plan of the Master in Computational Science - curriculum 2018-2020
First Semester
Mandatory (27 ECTS)
6 3 6 6 6 Electives (3 ECTS)
3 3 Second Semester
Mandatory (24 ECTS)
6 6 6 6 Electives (6 ECTS)
6 6 Functional and Numerical Analysis (FOMICS block course) 6
6 6 6 USI-CSCS Summer School on Effective High Performance Computing
6 Third Semester
Mandatory (30 ECTS)
6 Data Assimilation*
3 Generalizations of the Linear Model*
3 6 Molecular Dynamics and Monte Carlo Methods
6 6 Fourth Semester
Mandatory (24 ECTS)
24 Electives (6 ECTS)
6 Bioinformatics**
6 6 6 6 6 6 Introduction to Network Science**
6 USI-CSCS Summer School on Effective High Performance Computing**
6 * The course is not offered in the academic year 2018/19
** If not already taken in the 1st year
Changes in the study plan may occurr. In case of discrepancies, or for any legal purpose, the study plan indicated by the Director of the Master or the Dean's office of the Faculty of Informatics shall prevail.
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Study plan 2017-2019
Study plan of the Master in Computational Science - curriculum 2017-2019
The Master of Science in Computational Science program consists of four semesters of full-time study (120 ECTS). It offers courses in numerical mathematics and computer science, together with a wide range of more application-oriented courses. It finishes with a master’s thesis in the form of a half–year project, worth 30 ECTS, which can be carried out in an industrial or research setting. Selected block courses are taught by distinguish professors from other prominent academic institutions and international research centres, e.g., Stanford, University of Erlangen, University of Texas at Austin, The University of British Columbia, or Massachusetts Institute of Technology (MIT).
With the guidance of the Master Director, students will be encouraged to set up an individual study plan that includes appropriate elective courses. The Master Director will advise and accompany students through the entire two-year course of study.
First Semester Mandatory (24 ECTS) Deterministic Methods 6 High Performance Computing 6 Introduction to Ordinary Differential Equations 3 Introduction to Partial Differential Equations 6 Numerical Algorithms 3 Electives (6 ECTS) Introduction to Statistics 6 Simulation & Data Science Seminar 3 Software Atelier: Partial Differential Equations 3 Software Tools in Computational Science 3 Second Semester Electives (30 ECTS) Advanced Computer Architectures 6 Bioinformatics 6 Computer Vision & Pattern Recognition 6 Fast Solvers** 3 Geometric Algorithms 6 Geometric Deep Learning 6 Molecular Dynamics and Monte Carlo Methods 6 Multiscale Methods 6 Node-Level Performance Engineering 3 Simulations Using Particles: from DNA to the Universe 3 Software Atelier: Simulation, Data Science & Supercomputing 6 Stochastic Methods 6 USI-CSCS Summer School on Effective High Performance Computing 3 Third Semester Mandatory (6 ECTS) Advanced Discretization Methods 6 Electives (24 ECTS) Computational Biology and Drug Design 6 Computational Fluid Dynamics** 6 Data Assimilation 3 Machine Learning 6 Software Tools in Computational Science*** 3 Preparation Master's Thesis 6 Fourth Semester Mandatory (24 ECTS) Master Thesis 24 Electives (6 ECTS) Advanced Computer Architectures*** 6 Bioinformatics*** 6 Geometric Algorithms*** 6 Computer Vision & Pattern Recognition*** 6 Fast Solvers**/*** 3 Geometric Deep Learning*** 6 Multiscale Methods*** 6 Molecular Dynamics and Monte Carlo Methods*** 6 Node-Level Performance Engineering*** 3 Simulations Using Particles: from DNA to the Universe*** 3 Software Atelier: Simulation, Data Science & Supercomputing*** 6 Stochastic Methods*** 6 USI-CSCS Summer School on Effective High Performance Computing*** 3 ** some of these courses will be offered on a bi-yearly basis
*** If not already taken in the 1st year
Changes in the study plan may occurr. In case of discrepancies, or for any legal purpose, the study plan indicated by the Director of the Master or the Dean's office of the Faculty of Informatics shall prevail.
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Study plan 2016-2018
Study plan of the Master in Computational Science - curriculum 2016-2018
The Master in Computational Science consists of four semester’s full-time study (120 ECTS).
It offers courses in numerical mathematics and computer science, together with a wide range of more application-oriented courses. It finishes with a substantial half-year project master’s thesis, worth 30 ECTS which can be done in an industrial environment or in a research group.
A few selected courses will be taught in block courses by professors from other top-level universities or research centres (e.g., Stanford, ETH Zurich, University of Erlangen, and University of Texas at Austin, CSCS, or ORNL).
With the guidance of the Master Director, students will be encouraged to set up an individual study plan that includes appropriate elective courses. The Master Director will advise and accompany students through the entire two-year course of study.
Course ECTS First Semester Mandatory (24 ECTS) Introduction to Differential Equations 9 Software Atelier: Differential Equations 3 Numerical Algorithms 3 Practice of Simulation & Data Sciences 3 High Performance Computing 6 Electives (6 ECTS) Statistics 6 Deterministic Methods 6 Second Semester Mandatory (12 ECTS) Optimization and Multiscale Methods 6 Software Atelier: Simulation, Data Science & Supercomputing 6 Electives I (6 ECTS) Computational Fluid Dynamics* 3 Software Engineering for Computational Science* 3 Fast Solvers* 3 Node-Level Performance Engineering* 3 Computational Data-based Imaging* 3 Electives II (12 ECTS) Advanced Computer Architectures 6 Geometric Algorithms 6 Computer Vision & Pattern Recognition 6 Stochastic Methods 6 Third Semester Mandatory (18 ECTS) Preparation Master's Thesis 6 Computational Biology and Drug Design 6 Advanced Discretization Methods 6 Electives III (12 ECTS) Econometrics 3 Large-Scale Optimization 3 Intelligent System 6 Molecular Dynamics 3 Fourth Semester Mandatory (27 ECTS) Master Thesis 24 Data Assimilation 3 Elective IV ** (3 ECTS) * Some of these courses will be offered on a bi-yearly basis
** A number of elective courses can be selected from other Master programs available at USI such as Informatics, Cyber-Physical and Embedded Systems, and Economics.
Changes in the study plan may occurr. In case of discrepancies, or for any legal purpose, the study plan indicated by the Director of the Master or the Dean's office of the Faculty of Informatics shall prevail.
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Aggiornato al: 05 luglio 2024
