Control Systems Engineering

This program forms high level professionals in the field of automatic control, robotics, and machine learning. They are capable of designing models and control systems for industrial applications and have a solid knowledge of the technological processes for which control systems need to be designed. The program offers four paths that focus on different aspects of contemporary control system engineering:

  1. Robotics: models and control techniques for single or groups of interacting robots and cyber-systems;
  2. Machine Learning: artificial intelligence and statistical methods for learning data-driven models and the optimal ways to control them;
  3. Industrial Automation: methods and technologies used in Industry 4.0, i.e. state-of-the-art industrial automation systems;
  4. Complex Systems: advanced modeling and control techniques for engineering and research in complex physical, biological, and information processing systems.

In addition to these, we offer the opportunity to tailor a path that suits the student’s interests and needs.

The program, completely offered in English, provides its graduates with the skills needed to:

  1. adapt to the rapid evolution of methods and technology in Robotics, Machine Learning, and Industry 4.0;
  2. design, plan, and manage complex and innovative processes and services;
  3. collaborate with professionals of other fields of engineering (in particular, mechanical, electrical, and process engineering).
Entry requirements
  • A minimum three-year undergraduate degree (or equivalent) in Engineering or related fields (e.g. Mathematics) is required, with proven skills in Information Engineering, Physics, and Mathematics
  • Minimum GPA equivalent to Italian 84/110
Language requirements
  • English language: B2 level (CEFR) or equivalent

The occupational opportunities are in research and development, advanced design, plan and management of complex systems, both as freelance professionals and as employees in private and public companies. In particular, occupational opportunities are in electrical and electromechanical engineering companies, chemical companies, aero-spatial companies and, more generally, service providers and managing companies requiring design and development of automatic control, machine learning and robotics systems.

After 3 years from graduation:

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employment rate

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postgraduate education

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average salary*

Data taken from Almalaurea  (2017)
* The average salary is referred to the former degree of Ingegneria dell’Automazione, as three years ago Control Systems Engineering was not yet born