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
1155
Cicle
Master (2nd Cycle)
Degree
Mestre
Access to other programs
Access to a 3rd cycle
Coordinator
José António Barata de Oliveira
Opening date
September
Vacancies
30
Fees
Portuguese students: 1250 €/year
Foreign students: 7000 €/year
Schedule
Daytime
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 FCT, which 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.)
Structure
| 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 |
| Options | ||
| 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 |
| Options | ||
| 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 |