Machine Learning and Cybersecurity for Internet-Connected Systemshttps://www.upc.edu/en/masters/machine-learning-and-cybersecurity-for-internet-connected-systems/++theme++homeupc/assets/images/logomark.png
Master's degree in Machine Learning and Cybersecurity for Internet-Connected Systems
The master’s degree in Machine Learning and Cybersecurity for Internet-Connected System aims to provide advanced and specialised scientific and technological training in artificial intelligence and cybersecurity, with an emphasis on their application in internet-connected systems, including computer systems of differing degrees of complexity in general and Internet of Things systems in particular. The aim is thus to cover the current shortage of professionals who have this kind of training, which is highly valued in industry and in research in ICT technologies.
This master's degree is organised within the framework of the European MERIT project, through the funding of the Digital Europe programme, in collaboration with three European universities, SMEs, digital innovation hubs and research centres. The European project provides funding such as student grants.
Candidates in possession of one of the following bachelor's degrees (or equivalent) are granted admission to the master's degree without having to take bridging courses:
Bachelor’s degree in ICT Systems Engineering
Bachelor's degree in Informatics Engineering
Bachelor’s degree in Data Science and Engineering
Bachelor’s degree in Telecommunications Systems Engineering
Bachelor’s degree in Telecommunications Technologies and Services Engineering
Bachelor’s degree in Network Engineering
Candidates in possession of one of the following bachelor's degrees (or equivalent) are granted admission to the master's degree once they have taken the bridging courses set by the master's degree committee, which will not exceed 18 ECTS credits:
Bachelor's degree in Industrial Electronics and Automatic Control Engineering
Bachelor's degree in Industrial Technology Engineering
Bachelor’s degree in Electrical Engineering
Admission of candidates with degrees other than the above must be established by the master's degree committee.
Places
30
Pre-enrolment
Pre-enrolment period open. Expected deadline: 05/07/2024. How to pre-enrol
Security manager in tech companies and ICT departments.
Data scientist and engineer.
Internet of Things engineer.
Researcher at innovation and development centres.
Teaching and/or research staff at universities.
Competencies
Generic competencies
Generic competencies are the skills that graduates acquire regardless of the specific course or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, knowledge of a foreign language (preferably English), teamwork and proper use of information resources.
Master's degree in Machine Learning and Cybersecurity for Internet-Connected Systems
Manresa School of Engineering (EPSEM)
Day
11/05/2024
Time
10:00 h
Location
Escola Politècnica Superior d'Enginyeria de Manresa (EPSEM)
Av. de les Bases de Manresa, 61, 73, 08242
Manresa
More information
Face-to-Face information session. Registration is required.More information
Info
Master's degree in Machine Learning and Cybersecurity for Internet-Connected Systems
Manresa School of Engineering (EPSEM)
Day
17/07/2024
Time
17:00 h
More information
Virtual information session. Registration is required.More information
Pre-enrolment
Pre-enrolment for this master’s degree is currently closed. Use the “Request information” form to ask for information on upcoming pre-enrolment periods.