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
10918 Digital Systems Design 6.0
10920 Radio-frequency Electronics 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
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
10918 Digital Systems Design 6.0
10920 Radio-frequency Electronics 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
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
10491 EDA / CAD for Nanoelectronics 6.0
10286 Electronics for Biomedical Micro-Systems and Multimedia 6.0
11459 Electronics Low Voltage and Power Management 6.0
10922 Electronics III 6.0
10923 Electronics IV 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
12603 Initiation 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
10918 Digital Systems Design 6.0
10920 Radio-frequency Electronics 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
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
10918 Digital Systems Design 6.0
10920 Radio-frequency Electronics 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
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