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Plano de Recuperação e Resiliência / República Portuguesa / NextGenerationEU

Código do incentivo: C06-i03.03

ISEL’s master’s in Mathematics Applied to Industry is our recently launched master's course in an area of specialization with growing demand in the business/industry world. Our goal is to train students with the mathematical and computational skills that will enable them to expertly solve multidisciplinary problems in industry sectors – technology, logistics, consulting, banking, insurance, or R&D.

Our masters in Mathematics Applied to Industry (MMAI) develops solid skills in analytical, numerical and statistical methods – the basis of applied mathematics – and sound training in modelling, programming and simulation, which make it possible to apply mathematics to a wide variety of practical problems.

The MMAI provides students with the opportunity to build their own training profile, combining a common curriculum with various optional units (including, but not limited to, dynamic systems, image processing, machine learning, data mining, programming, computer security, and artificial intelligence). In their last semester of the course, students can choose to dedicate themselves to one of the following: a dissertation, a project, or an internship. In line with several other ISEL courses, the MMAI was designed and will be carried out in collaboration with several prominent and well-respected business and industrial entities.

Experts in the ability to capture the essentials of real situations and in finding solutions to the problems before them through the identification of appropriate mathematical models, the holders of our MMAI will be the bridges between mathematics and the real world.

Applications

The PhD Program in Cyber-Physical Systems for Sustainable Development (CPS-SD) is a four-year doctoral program focused on applied research, placing advanced engineering and emerging technologies at the service of the United Nations 2030 Agenda for Sustainable Development. The program centers on Cyber-Physical Systems (CPS)—intelligent solutions that tightly integrate sensing, computation, communication and control with physical processes. These systems constitute the technological backbone of smart cities, resilient infrastructures, next-generation healthcare, sustainable energy networks and Industry 4.0, enabling real-time interaction between the digital and physical worlds in a human-centred manner.

The program provides a strong interdisciplinary environment, bringing together expertise from Electronics and Telecommunications Engineering, Computer and informatics Engineering, Engineering Physics, and Biomedical Engineering. During the first year, students undertake advanced training covering sustainable development, research methods and ethics, core CPS concepts, and technology management and entrepreneurship. This training is complemented by elective courses that allow students to deepen their knowledge in areas such as communications, photonics and optoelectronics, intelligent and ubiquitous systems, computational systems, climate challenges, materials for CPS, biomedical engineering, and multimedia-oriented CPS applications.

From the second year onwards, students devote themselves fully to original research leading to the doctoral thesis, under the close supervision of experienced researchers.

Throughout the program, students develop advanced research skills, critical thinking and the ability to lead multidisciplinary projects addressing real sustainability challenges. They are also trained to communicate effectively with both scientific and non-specialist audiences and to translate technological innovation into societal impact, including in the context of developing and least-developed countries. Graduates will be well prepared for careers in academia, research institutes, high-technology industries and innovative organizations, contributing to the design and implementation of CPS solutions that directly support the Sustainable Development Goals and help shape a more just, inclusive and sustainable future.

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