Master in Automation Engineering and Control of Complex Systems

This two-year master's programme, taught in English at Università degli Studi di Catania, belongs to the field of automation engineering, which studies how to design systems that operate with reduced or no human intervention by using sensors, controllers, and feedback mechanisms. The discipline draws heavily on control theory, which provides the mathematical tools for designing systems that respond predictably and stably to changing conditions, alongside electronics, computer science, and mechanical engineering. Students typically study control systems and control theory, robotics, industrial automation, and signal processing, building both the theoretical grounding and the practical skills needed to design and implement automated systems. The focus on complex systems within this programme suggests additional emphasis on systems composed of many interacting components, such as large industrial plants, networks of robots, or interconnected infrastructure, where coordinating behavior across the whole system becomes a central engineering challenge. Coursework often includes modeling and simulation of dynamic systems, alongside hands-on laboratory work involving sensors, actuators, and programmable controllers. Depending on the programme's orientation, students may also encounter topics related to artificial intelligence and machine learning as they apply to automation, given the growing role of data-driven methods in modern control systems. Graduates of automation engineering programmes find roles in manufacturing and industrial automation, robotics companies, energy and process industries, and firms developing control systems for vehicles, aerospace, or infrastructure. Others move into research and development positions, working on the next generation of automated and robotic systems, or into systems integration roles that require coordinating hardware, software, and control logic across complex installations. As industries continue to automate processes and adopt more interconnected systems, expertise in control and automation engineering remains closely tied to advances in manufacturing, robotics, and infrastructure management.