Master in Micro and Nanotechnology Engineering
Education objectives
The Master degree in Micro and Nanotechnology Engineering (MEMN) aims to launch Masters into the labor market with a solid scientific background capable of helping companies to face the challenges of global competitiveness in the areas of Micro and Nanotechnologies.
It is intended to generate skills in disruptive and innovative areas of knowledge, linked to the Excellence of Scientific Research, through:
Provision of skills and knowledge in the area of Microelectronics and Nanotechnologies; solid multidisciplinary scientific training in the areas of Electronics, Mathematics and Physics and Chemistry as well as Entrepreneurship, Management and Innovation; Solid and multidisciplinary training in Technologies of micro and nano manufacturing and applications of nanomaterials in Life Sciences, Biotechnology, Micro / Nano-electronics; Encouraging creativity and problem solving; Fostering teamwork, leadership and entrepreneurship skills.
MEMN has the support of the CENIMAT / I3N Research Center, which has great international recognition and where it is a leader in areas such as transparent electronics; electronic paper; nanotechnologies applied to electronics; processing of nano devices; Photovoltaic Solar Cells; Intelligent nanomaterials and nanobiosensors.
Career opportunities
The graduates of the Micro and Nanotechnologies Master degree have professional opportunities in the global market, with a main focus on the European market in areas linked to cutting-edge technologies, with a strong component of leadership and entrepreneurship based on scientific research. Examples include Navigator, Microsoft, the automotive industry, the pharmaceutical and biotechnology industry, the microelectronics industry and research laboratories such as I3N, INL and AlmaScience.
General characterization
DGES code
1064
Cicle
Master (2nd Cycle)
Degree
Mestre
Access to other programs
Available soon
Coordinator
Hugo Manuel Brito Águas
Opening date
September
Vacancies
10
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 | ||
Materials Engineering | EMt | 69 | 0 |
Industrial Engineering | EI | 6 | 0 |
Materials Engineering / Electrical and Computer Engineering / Industrial Engineering / Chemistry / Biomedical Engineering / Informatics / Mathematics / Biotechnology / Social Sciences and Humanities |
EMt / EEC / EI / Q / EBm / I / M / Bt / CHS |
0 | 33 |
Transferable Skills | CC | 3 | 0 |
Any Scientific Area | QAC | 0 | 6 (a) |
TOTAL | 78 | 42 |
(a) 6 ECTS in courses chosen by the student on a list approved annually by the Scientific Council of FCT NOVA, which includes the unity of all scientific areas of FCT NOVA.
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 |
5340 | Biomaterials | 6.0 |
5324 | Biosensors | 6.0 |
12601 | Microelectronics: Systems and Devices | 6.0 |
1.º Semester - Opção A | ||
---|---|---|
Code | Name | ECTS |
Options | ||
11157 | Machine Learning | 6.0 |
7122 | Cell Biology C | 6.0 |
7300 | Analytical Biochemistry | 6.0 |
12710 | Circuits and Systems for Radio-Frequency | 6.0 |
12709 | Analog Integrated Circuits | 6.0 |
10918 | Digital Systems Design | 6.0 |
12730 | EDA for Nanoelectronics | 6.0 |
12707 | Electronics for Micro-systems | 6.0 |
12606 | Photovoltaic Energy: Materials and Applications | 6.0 |
10529 | Cell and Tissue Engineering | 6.0 |
7459 | Foams and Cellular Materials | 6.0 |
11049 | Electronic Data Collection and Storage | 6.0 |
1712 | Artificial Intelligence | 6.0 |
7452 | Paper and Cellulosic Materials | 6.0 |
7822 | Smart Materials and Systems | 6.0 |
12605 | Materials Mesomorphs and Applications | 6.0 |
5278 | Computational Modeling of Materials | 6.0 |
10501 | Nanocircuits and Analog Systems | 6.0 |
7633 | Neurobiology | 6.0 |
12581 | Medical Image Processing | 6.0 |
7460 | Sensors: Materials and Applications | 6.0 | O aluno deverá obter 6.0 créditos nesta opção. |
1.º Semester - Opção B | ||
---|---|---|
Code | Name | ECTS |
Options | ||
11157 | Machine Learning | 6.0 |
7122 | Cell Biology C | 6.0 |
7300 | Analytical Biochemistry | 6.0 |
12710 | Circuits and Systems for Radio-Frequency | 6.0 |
12709 | Analog Integrated Circuits | 6.0 |
10918 | Digital Systems Design | 6.0 |
12730 | EDA for Nanoelectronics | 6.0 |
12707 | Electronics for Micro-systems | 6.0 |
12606 | Photovoltaic Energy: Materials and Applications | 6.0 |
10529 | Cell and Tissue Engineering | 6.0 |
7459 | Foams and Cellular Materials | 6.0 |
11049 | Electronic Data Collection and Storage | 6.0 |
1712 | Artificial Intelligence | 6.0 |
7452 | Paper and Cellulosic Materials | 6.0 |
7822 | Smart Materials and Systems | 6.0 |
12605 | Materials Mesomorphs and Applications | 6.0 |
5278 | Computational Modeling of Materials | 6.0 |
10501 | Nanocircuits and Analog Systems | 6.0 |
7633 | Neurobiology | 6.0 |
12581 | Medical Image Processing | 6.0 |
7460 | Sensors: Materials and Applications | 6.0 | O aluno deverá obter 6.0 créditos nesta opção. |
2.º Semester | ||
---|---|---|
Code | Name | ECTS |
10380 | Entrepreneurship | 3.0 |
12602 | Microelectrónics: Project and Simulation | 6.0 |
3705 | Quality Planning and Control | 6.0 |
2.º Semester - Opção E | ||
---|---|---|
Code | Name | ECTS |
Options | ||
10703 | Bioelectrochemistry | 6.0 |
10997 | Surface Degradation and Protection | 6.0 |
10920 | Radio-frequency Electronics | 6.0 |
1530 | Photochemistry | 6.0 |
12607 | Materials and Technologies for Displays | 6.0 |
12608 | Materials for Energy | 6.0 |
5278 | Computational Modeling of Materials | 6.0 |
12529 | Advanced Programming for Data Science and Engineering | 6.0 |
10291 | Renewable Energy Technology | 6.0 |
10688 | Enzyme Technology | 6.0 |
10513 | Advanced Topics in Digital Image Processing | 6.0 | O aluno deverá obter 6.0 créditos nesta opção. |
2.º Semester - Opção F | ||
---|---|---|
Code | Name | ECTS |
Options | ||
10617 | Finance for Entrepreneurs | 3.0 |
10423 | Business Management | 3.0 |
10861 | Macroeconomics and Globalization | 3.0 |
10862 | Microeconomics | 3.0 |
10507 | Sociology of New Information Technologies | 3.0 |
10508 | Sociology of Organizations | 3.0 | O aluno deverá obter 3.0 créditos nesta opção. |
2.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. |
3.º Semester | ||
---|---|---|
Code | Name | ECTS |
10425 | Introduction to Dissertation | 3.0 |
10424 | Nanofabrication and Characterization of Nanostructures | 6.0 |
11048 | Optoelectronics | 6.0 |
3.º Semester - Opção C | ||
---|---|---|
Code | Name | ECTS |
Options | ||
11157 | Machine Learning | 6.0 |
7122 | Cell Biology C | 6.0 |
7300 | Analytical Biochemistry | 6.0 |
12710 | Circuits and Systems for Radio-Frequency | 6.0 |
12709 | Analog Integrated Circuits | 6.0 |
10918 | Digital Systems Design | 6.0 |
12730 | EDA for Nanoelectronics | 6.0 |
12707 | Electronics for Micro-systems | 6.0 |
12606 | Photovoltaic Energy: Materials and Applications | 6.0 |
10529 | Cell and Tissue Engineering | 6.0 |
7459 | Foams and Cellular Materials | 6.0 |
11049 | Electronic Data Collection and Storage | 6.0 |
1712 | Artificial Intelligence | 6.0 |
7452 | Paper and Cellulosic Materials | 6.0 |
7822 | Smart Materials and Systems | 6.0 |
12605 | Materials Mesomorphs and Applications | 6.0 |
5278 | Computational Modeling of Materials | 6.0 |
10501 | Nanocircuits and Analog Systems | 6.0 |
7633 | Neurobiology | 6.0 |
12581 | Medical Image Processing | 6.0 |
7460 | Sensors: Materials and Applications | 6.0 | O aluno deverá obter 6.0 créditos nesta opção. |
3.º Semester - Opção D | ||
---|---|---|
Code | Name | ECTS |
Options | ||
11157 | Machine Learning | 6.0 |
7122 | Cell Biology C | 6.0 |
7300 | Analytical Biochemistry | 6.0 |
12710 | Circuits and Systems for Radio-Frequency | 6.0 |
12709 | Analog Integrated Circuits | 6.0 |
10918 | Digital Systems Design | 6.0 |
12730 | EDA for Nanoelectronics | 6.0 |
12707 | Electronics for Micro-systems | 6.0 |
12606 | Photovoltaic Energy: Materials and Applications | 6.0 |
10529 | Cell and Tissue Engineering | 6.0 |
7459 | Foams and Cellular Materials | 6.0 |
11049 | Electronic Data Collection and Storage | 6.0 |
1712 | Artificial Intelligence | 6.0 |
7452 | Paper and Cellulosic Materials | 6.0 |
7822 | Smart Materials and Systems | 6.0 |
12605 | Materials Mesomorphs and Applications | 6.0 |
5278 | Computational Modeling of Materials | 6.0 |
10501 | Nanocircuits and Analog Systems | 6.0 |
7633 | Neurobiology | 6.0 |
12581 | Medical Image Processing | 6.0 |
7460 | Sensors: Materials and Applications | 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 3.0 créditos nesta opção. |
4.º Semester | ||
---|---|---|
Code | Name | ECTS |
12604 | Dissertation in Micro and Nanotechnologies Engineering | 30.0 |