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UPC’s Master’s degree in Machine Learning and Cybersecurity for Internet-Connected Systems
This master’s degree responds to the growing need for digital skills described in the European Commission’s Digital Decade roadmap for 2030. More than 90% of jobs already require specific digital skills but the number of digital experts does not keep up with demand. This master’s degree provides training in three key areas of digitalisation: artificial intelligence (AI), cybersecurity and the Internet of Things (IoT), giving students a unique opportunity to become well-rounded digital professionals. They will be able to integrate and manage complex AI, cybersecurity and IoT systems, apply and develop valid solutions for different types of platforms and carry out safe and efficient systems and data management. These core disciplines are recognised as the workhorse of future industry and, alone or in combination, they sustain most Industry 4.0 projects. The degree also includes fundamental courses on software development that are specifically oriented to modern trends such as cloud architectures and high performance computing.
The degree’s structure is highly modular and allows students to choose their own pathway by taking a particular set of optional subjects. They can choose optional courses to build either a cross-disciplinary CV or a more specialised CV. Although their foundation is solidly theoretical, the courses stress direct, practical application to industrial use cases. They are eminently practical and foster teamwork on real, integrated projects and promote collaboration, interaction and a close relationship with teaching staff, who have proven experience.
Grants
Through the European MERIT project, students of the Master of Science in Smart, Secure and Internet-Connected Systems (MERIT) may apply for grants to cover enrolment fees. Mobility MERIT partners Tallinn University of Technology (TALTECH), Vilnius Gediminas Technical University (VILNIUS TECH) and Riga Technical University (RTU) have collaborated to codesign the master’s programme and provide mobility opportunities with transfer of credits, joint courses and collaborative projects for students from all the institutions. Dedicated scholarships for mobility are available.
Professional opportunities
Graduates can opt for job titles such as specialist in artificial intelligence, specialist in cybersecurity, cybersecurity analyst, data engineer/scientist and IoT engineer. Graduates will be able to apply ethical, legal and professional standards in the fields of artificial intelligence, cybersecurity and IoT, thus fitting seamlessly into the job market. They will also have direct access to the world of research in the areas covered, so they may join company R&D departments or continue in academia.
Learning environment
The Manresa School of Engineering (EPSEM) is an internationally recognised school whose wide ranging research is closely related to the city’s business and industrial networks. It offers bachelor’s, master’s and doctoral degrees in various engineering fields and is distinguished by a close relationship between teaching staff and students, practical training and teamwork.
The EPSEM belongs to the Universitat Politècnica de Catalunya – BarcelonaTech (UPC), a renowned public institution of research and higher education in the fields of engineering, architecture, sciences and technology. With 50 years of history and more than 30,000 students, the UPC has the greatest concentration of research and technological innovation in southern Europe. According to the 2024 QS World University Rankings by Subject, it is the best Spanish university in Telecommunications, Electrical and Electronic Engineering and Computer Sciences and Information Systems.
For more information on the Master’s study program in Machine Learning and Cybersecurity for Internet-Connected Systems (MERIT), visit this page.
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UPC – Master program in Machine Learning and Cybersecurity for Internet-Connected Systems (MERIT)