Master in Engineering in Robotics and Systems of Intelligent Manufacturing


Master in Engineering in Robotics and Systems of Intelligent Manufacturing

MeRSIM offers postgraduate training in areas that are not currently covered at national level and where DEEC and NOVA School of Science and Technology have demonstrated skills and a positive brand image known in both Portugal and Europe, the Middle East and Latin America. Indeed, training that offers both knowledge of intelligent manufacturing and autonomous robotic systems is innovative at national and European level, helping to address an existing failure in the training of human resources in factories of the future in which there will be an ever-increasing application of autonomous robots, collaborative solutions between increasingly intelligent and autonomous equipment and subsystems, as well as distributed manufacturing systems and enterprise collaborative networks.

MeRSIM is designed to have students with diverse training at the bachelor level, qualifying these students with advanced, coherent and flexible training in Robotics and Intelligent Manufacturing Systems.

MeRSIM also emerges as a natural consequence of research and dissemination activities carried out by NOVA professors and researchers in the areas of Robotics, Intelligent and Distributed Systems of Manufacturing and Collaborative Networks, which is recognized nationally and internationally. The number of national and international projects of the Department of Electrotechnical Engineering and Computers at the level of intelligent and distributed manufacturing systems as well as autonomous robotics ensures the knowledge and experience necessary to ensure advanced training in this area. Thus, this master's degree aims to intensify the relations of research, development and transfer of knowledge and technology with companies and other entities and contribute to the promotion of initiatives to disseminate science, which are also objectives of the NOVA project.


The MeRSIM – Master's degree in Robotic Engineering and Intelligent Manufacturing Systems aims to provide advanced technical and scientific training in Robotics and Intelligent Manufacturing Systems, and promote the development of personal and interpersonal skills suitable for work in a professional or academic context:

  • Design, develop and maintain autonomous intelligent manufacturing and robotic systems;
  • Solve complex industrial problems using intelligent systems, promoting digitization, the use of data science and artificial intelligence;
  • Perform experimental work using solid theoretical bases;
  • Explore new methodologies, tools or technologies for the development of robotic solutions or intelligent manufacturing systems;
  • Promote technological progress in an academic and business context;
  • Study, evaluate and implement innovative ideas and conduct meaningful research respecting the requirements imposed by business and academic quality, integrity and responsibility standards.

NOVA's MeRSIM engineers combine skills in the field of fundamental scientific knowledge with advanced technological skills, which makes it easy to adapt to rapidly evolving processes and new market demands. These skills give a continuous adaptation of professionals to the challenges posed by technological innovation, and is therefore the guarantor of a successful career.


Career opportunities

The Master's curriculum in Engineering in Robotics and Systems of Intelligent Manufacturing is designed to provide access to a wide range of career opportunities. The following are pointed out as examples:

  • Companies in the area of industrial robotics: design and installation of manufacturing production lines (e.g. automotive); software development for product quality control; programming of logic controllers; programming of robots in 3D environment, intelligent process optimization systems.
  • Autonomous robotics companies: Autonomous Land, Air and Sea Systems applied to different areas (industry, agriculture, sea, ...).
  • Service Companies: Intelligent software development to support decision, data science, programming, ...
  • Consulting, banking /finance companies.

Tuition Fees

Portuguese students: 1250 €/year

Foreign students: 7000 €/year


To be announced


1st phase: 12th february to 22nd march 2024

2nd phase: 3rd June to 17th july 2024

Acceptance rate in masters

Accepted applicants will have to pay (within a maximum of 7 consecutive days from the date of placement) a non-refundable rate of 100 euros, which will be deducted, after registration, from the total tuition fee. Any payment made after the deadline will not be refunded, leaving the candidate excluded.


International Applications

Entrance requirements for the 2024/2025 academic year

Vacancies for 2024/2025:


Admission rules:

To enter the Master's degree in Robotic Engineering and Intelligent Manufacturing Systems, students need to have a 1st cycle training in the areas of Computer Engineering, Electrical Engineering, Mechanical Engineering, Industrial Engineering or related areas. Candidates with similar backgrounds will be evaluated based on their Curriculum and professional experience. All candidates will have to be approved by the scientific committee, and may be subject to an interview, with the aim of evaluating their preparation and motivation for the Master's course.

Course coordinator:

Professor José Barata Oliveira

Registration and Accreditation


Registration number R/A-Cr 164/202 on 27/07/2022


Publication date of the accreditation decision: 30/06/2022

Period of validity of the accreditation:
6 years from 31/07/2022

About the Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering (DEEC) is organized into six technical-and-scientifically coherent scientific areas, namely Energy and Electrical Machines, Control and Decision, Digital Systems, Robotics and Integrated Manufacture, Electronics and Telecommunications. Electrical Engineering is the largest department at NOVA School of Science and Technology with 40 faculty and over 1100 undergraduate, masters, and doctoral students.

Our faculty and students continue to advance the state-of-the-art, define new directions for electrical engineering and develop new technologies to help address critical societal challenges. Perhaps even more important is our unceasing commitment to our students, helping them learn, grow, develop and achieve their goals, whether it is becoming a professor, an entrepreneur or joining industry.

There are many advantages to joining Electrical Engineering as a student. We hope to be part of your success.

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