Master of Science in Engineering - Computer science
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Master of Science in Engineering - Computer Science
The Master of Science in Engineering profile in Computer Science trains a professional with in-depth knowledge of research, development, planning and design of innovative applications, advanced information systems and ICT infrastructures, including their security.
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The MSE study profile in Computer Science provides in-depth knowledge and skills in research and development, planning, specification and design of innovative ICT applications, systems and architectures.
Topics covered in the course of study include:
Skills:
Topics covered in the course of study include:
- Human-computer interaction and NLP;
- Internet of Things, social and complex networks;
- Audio-visual processing, VR/AR/MR and Digital Gaming;
- Cloud-native applications and services;
- ICT security and Blockchain;
- Educational technologies and open data.
Skills:
- Analysis and evaluation of new technologies and research approaches for innovative solutions;
- Ability to work in diverse IT environments;
- Managerial skills to lead development teams and assume responsibility for the management of IT infrastructures;
- Development of systems in collaboration with users and stakeholders;
- Development of tools for data analysis and management, simulation and modelling;
- Use of data analysis tools to solve complex problems.
Educational perspectives
The Master of Science in Engineering is the highest degree conferred by a university of applied sciences in Switzerland in the fields of engineering and IT.
MSE graduates can continue their education with a PhD at Swiss or international universities and polytechnics, as well as through continuing education courses:
- Master of Advanced Studies (MAS)
- Diploma of Advanced Studies (DAS)
- Certificate of Advanced Studies (CAS)
Professional perspectives
SUPSI Master of Science in Engineering graduates with a profile in Computer Science can find employment in the following activities and professional fields:
- Development of cloud-native applications;
- Information and communication systems;
- Decentralised blockchain-based systems and applications;
- Computer security;
- Development of Advanced User Interfaces, including Virtual;
- Reality and Natural Language Processing.
The planning of the study programme is carried out by the students with the support of the advisor assigned at the beginning of the course.
Theoretical modules
30 ECTS
Modules of 3 credits each divided into three areas:
Modules of 3 credits each divided into three areas:
- 3 FTP modules (fundamental theoretical principles)
- 4 TSM modules (technical and scientific skills specific to the chosen profile)
- 2 CM modules (context modules)
- 1 module of your choice from FTP, TSM and CM
Specialization modules
30 ECTS
Modules that vary according to the specialization profile.This part of the curriculum allows for an in-depth study of specific topics and an approach to the world of practice by working on individual projects, group projects or by attending seminars and Summer Schools.
Modules that vary according to the specialization profile.This part of the curriculum allows for an in-depth study of specific topics and an approach to the world of practice by working on individual projects, group projects or by attending seminars and Summer Schools.
Thesis
30 ECTS
Enables the skills acquired during the course of study to be put into practice and further developed.
The work undertaken must meet high methodological, conceptual and scientific requirements. The thesis takes the form of a project assigned by a company, organisation or a research assignment awarded within the university of applied sciences.
Enables the skills acquired during the course of study to be put into practice and further developed.
The work undertaken must meet high methodological, conceptual and scientific requirements. The thesis takes the form of a project assigned by a company, organisation or a research assignment awarded within the university of applied sciences.
- FTP_AdvAlgDS: Advanced Algorithms and Data Structures (Lugano)
- FTP_ApprAlg: Approximation algorithms (Lugano)
- FTP_ModSim: Modelling Simulation and Optimisation (Lugano)
- FTP_MultiASys: Multi-agent systems (Lugano)
- FTP_Alg: Algorithms (Zurich)
- FTP_Optimiz: Optimization (Zurich)
- FTP_StochMod: Stochastic Modelling (Zurich)
- FTP_TheoComp: Theoretical Computer Science (Zurich)
- TSM_AdvCompG: Advanced Computer Graphics (Lugano)
- TSM_AdvDataMgmt: Advanced Data Management - non standard database systems (Lugano)
- TSM_DevOps: DevOps of Cloud-Native Applications (Lugano)
- TSM_IoT: Internet of Things (Lugano)
- TSM_AdvPrPa: Advanced Programming Paradigms (Zurich)
- TSM_ClComp: Cloud Computing (Zurich)
- TSM_ITSec: IT-Security (Zurich)
- TSM_MobCom: Mobile Computing (Zurich)
- TSM_ProgAlg: Parallel and distributed computing (Zurich)
- TSM_SoftwEng: Software Engineering and Architectures (Zurich)
- TSM_UseInf: Advanced User Interfaces (Zurich)
- TSM_WireCom: Wireless Communications (Zurich)
- CM_InnoLEAN: Innovation and Lean (Lugano)
- CM_QRM: Quality and Risk Management (Lugano and Zurich)
- CM_ComplPro: Management of Complex Processes (Zurich)
- CM_Entrepr: Corporate Management and Entrepreneurship (Zurich)
- CM_PrivLaw: Privacy and Law (Zurich)
Registration for the academic year 2023-2024 opens on 21st November 2023.
The application for admission is submitted exclusively by following the online procedure available on the SUPSI Student Portal.
The application for admission is submitted exclusively by following the online procedure available on the SUPSI Student Portal.
The MSE specialization profile in Computer Science is generally eligible for students with a Bachelor's degrees in Computer Science Engineering.
The eligibility of applicants and candidates will be checked individually.
More information is available here: Master of Science in Engineering.
The eligibility of applicants and candidates will be checked individually.
More information is available here: Master of Science in Engineering.
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