Automation and systems

The Master's program in "Automation and Systems" is part of a framework of academic excellence and technological innovation, meeting the growing demands of Industry 4.0 and intelligent systems. It includes advanced instruction in linear, nonlinear, optimal, and adaptive control, advanced robotics, as well as predictive control algorithms for industrial and autonomous systems. Students also learn modern techniques for equipment supervision and predictive maintenance using artificial intelligence, while mastering the automation of complex processes through the use of programmable logic controllers (PLCs) and industrial communication networks. Thanks to a combination of theoretical and practical approaches, students develop strong skills in programming, simulation, and the design of control algorithms for various types of systems. This educational approach combines scientific rigor with technical expertise, fostering a systemic and interdisciplinary vision. By the end of the program, graduates will have a highly qualified profile, capable of joining research teams or taking on engineering roles in various sectors such as automotive, aerospace, energy, robotics, or automated manufacturing industries.

The program spans two academic years (four semesters). During the first year, students complete two semesters of coursework focusing on fundamental subjects related to automation and systems theory. The second year begins with a semester dedicated to advanced modules, combining professional and research-oriented courses. The final semester is entirely devoted to a capstone project, allowing students to apply their knowledge in a real-world or research context.