Master in Eng. in Robotics and Systems of Intelligent Manufacturing

Education objectives

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 FCT''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.

General characterization

DGES code



Master (2nd Cycle)



Access to other programs

Access to a 3rd cycle


José António Barata de Oliveira

Opening date





Portuguese students: 1250 €/year

Foreign students: 7000 €/year



Teaching language

Available soon

Degree pre-requisites

Duration: 2 years

Credits: 120 ECTS

Scientific Area
Acronym ECTS
Mandatory Optional
Electrical and Computing Engineering EEC 102 0
Social and Human Sciences CHS 3 0

Electrical and Computing Engineering / Industrial Engineering

EEC / EI 0 6
Transferable Skills CC 3 0
Any Scientific Area QAC 0 6 (a)
TOTAL 108 12

(a) 6 ECTS in courses chosen by the student on a list approved annually by the Scientific Council of NOVA FCTwhich includes the unity of all scientific areas of NOVA FCT.

Conditions of admittance

Available soon

Evaluation rules

The evaluation of all UCs is continuous for all the components that integrate it, and it must be completed by the last day of the school term of the academic semester.

The continuous evaluation of a UC must include a minimum of three elements in the set of evaluation components, on dates adequately spaced throughout the period of classes.

All UCs with a theoretical-practical evaluation component must provide, in addition, a form of evaluation of this component by exam, to be carried out after the period of classes (Examination of Appeal).

All requirements and conditions related to the evaluation of the UC, namely the minimum weights and classifications, if any, of each component, as well as the Frequency conditions, are defined a priori and, mandatorily, published in the Discipline Form.

For each UC, combinations of three evaluation components are allowed: (i) Theoretical-practical evaluation; (ii) Laboratory or project evaluation; (iii) Summative assessment.

The final Dissertation (or Project) involves a public discussion with a Jury.

Regulamento de Avaliação de Conhecimentos (Licenciaturas, Mestrados Integrados e Mestrados.)


1.º Semester
Code Name ECTS
12793 Knowledge Discovery 6.0
12720 Integrated Telecommunication Networks 6.0
11456 Robotics 6.0
7228 Intelligent Supervision 6.0
10991 Robotics and Autonomous Systems 6.0
2.º Semester
Code Name ECTS
10380 Entrepreneurship 3.0
12717 Cyber-Physical Systems Integration 6.0
7317 Data Acquisition Systems 6.0
10994 Distributed Manufacturing Systems 6.0
2363 Robotic Systems and CIM 6.0
10508 Sociology of Organizations 3.0
3.º Semester
Code Name ECTS
13090 Cognition for Telerobotics and Autonomous Systems 6.0
7316 Virtual Enterprises 6.0
13089 Preparation for the Dissertation 3.0
13091 Intelligent Industrial Systems 3.0
3.º Semester - Opção 1
Code Name ECTS
10918 Digital Systems Design 6.0
10487 Network management and configuration 6.0
12706 Cyber-Physical Control Systems 6.0
10919 Power Electronics and Drives 6.0
10589 Project Management 6.0
7477 Sensorial Systems 6.0
O aluno deverá obter 6.0 créditos nesta opção.
3.º Semester - Unidade Curricular do Bloco Livre
Code Name ECTS
11066 Unrestricted Electives 6.0
O aluno deverá obter 6.0 créditos nesta opção.
4.º Semester
Code Name ECTS
13092 Dissertation in Engineering in Robotics and Systems of Intelligent Manufacturing 30.0