Use of cookies

We use our own and third-party cookies to improve our services. You can get more information and set your preferences.
Information on our cookies policy

Reject Cookies
Accept Cookies

Campus in maintenance
User and / or password incorrect
You have no active environment
Your access has been restricted. Consultation with the department of administration
Due to technical problems, the virtual campus is inaccessible. We are working to solve it. Sorry for the inconvenience.
Start   >  Master's & postgraduate courses  >  Education  >  Postgraduate course in Materialization of Models in Industry 4.0
Information session


Request information
Request information Request information or admission
Apply for admission
Apply for admission
  • discount
    This programme is part of the Employment Help grants programme
  • discount
    10% discount if you enrol before 15th December!
This postgraduate course is also part of the training track for the master's degree in Industry 4.0.


2nd Edition
24 ECTS (168 teaching hours)
Language of instruction
€4,500 €4,050(10% discount if you enrol before 15th December!)
Payment of enrolment fee options

The enrolment fee can be paid:
- In a single payment to be paid within the deadline specified in the letter of admission to the programme.
- In two instalments:

  • 60% of the amount payable, to be paid within the deadline specified in the letter of admission to the programme.
  • Remaining 40% to be paid up to 60 days at the latest after the starting date of the programme.
Notes 0,7% campaign

Registration open until the beginning of the course or until end of vacancies.
Start date
Start date: 25/02/2022
End date: 08/07/2022
Friday: 4:00 pm to 9:00 pm
Saturday: 9:00 am to 2:00 pm
Taught at
Why this postgraduate course?
Materialisation means that objects from the digital world can be converted to objects in the physical world, where control of physical objects using software objects is known as automation. Technologies like 3D printing combined with embedded electronics are leading to the emergence of a new generation of connected cyberphysical systems, with technologies such as OPC-UA, enabling Virtual Commissioning and new agile forms of development, in which real objects interact with simulated objects.

The worlds of IT and OT have existed side by side, sharing limited spheres of interaction, and following parallel lives. The demand for cyberphysical systems means that walls that have been in place for decades must be demolished, leading to "IT/OT convergence", which is one of the major challenges posed by Industry 4.0. The figure of the CDO (Chief Digital Officer), also known as the Head of Digital Transformation, is an emerging hybrid professional profile in today's organisation charts. A cross-sectoral approach is one of the motifs of the contemporary world, and Industry 4.0, and Fortune magazine highlights the unstoppable nature of the demand for hybrid professional profiles (Hybrid Jobs).

The main objective of the programme is to train professionals to be able to understand the difficulties and complexities of the world of Industry 4.0 in a cross-disciplinary manner. The participants will obtain the necessary knowledge to develop Cyberphysical Systems prototypes for Industry 4.0, using existing digital twins in productive systems and collaborative robotics, 3D printing, embedded systems and sensors.

  • Understand the problems of Industry 4.0 and digital transformation processes.
  • Use "digital twins" in industrial processes, collaborative robotics and virtual commissioning designs.
  • Know how to prototype and create minimum viable products (MVPs) for the Internet of things (IoT) with embedded electronics and 3D printing.
  • Understand the paradigm of the IIRA and RAMI 4.0 architectures, and the basis of IT/OT convergence.
  • Understand when a business problem can be formulated as a platform economy and automation 4.0 problem.
  • Acquire specific knowledge of the main indicators of industry 4.0 for decision-making in business.
  • Understand the main regulatory issues that affect an industry 4.0 project.
Who is it for?
  • Information Technologies Professionals wishing to enhance their OT knowledge base in the field of industrial processes and prototyping for industry 4.0.
  • Operations Technology Professionals wishing to acquire knowledge of the IT world to implement solutions for the IoT in the software and hardware fields.
  • Graduates in engineering (computer, telecommunications, industrial, agricultural, civil engineering, etc.), physics, mathematics and statistics.

Training Content

List of subjects
4 ECTS 24h
Architecture IoT Technologies IoT
  • Introduction to the Arduino system.
  • Reference architectures.
    • Background and historical overview.
    • RAMI 4.0
    • IIRA.
8 ECTS 60h
Technologies IoT, Hands on and MVPs
  • 3D printing.
  • Electronic simulation of boards.
  • Systems based on microcontrollers.
    • Arduino microcontrollers, sensors.
    • Arduino PLC.
    • Industrial controllers.
  • Systems based on Operating Systems (Linux).
    • Raspberry Pi.
  • Communications protocols.
    • MQTT.
    • CoaP.
    • Modbus TCP.
  • Web SCADA 4.0.
    • Cloud.
    • Web widgets.
    • Push/Pull GUIs.
  • OPC - UA.
  • Energy infrastructure.
  • Robotics.
  • Public policies.
2 ECTS 12h
Optimization and Management of Large Data Volume
  • Smart systems to support decision-making.
  • Simple regression and ANOVA.
  • Introduction to optimisation.
    • Models and types of optimisation problems.
    • Practical resolution of optimisation problems.
  • Basic use of optimisation languages.
4 ECTS 30h
Optimization and Intelligent Systems
  • Optimisation.
    • Mathematical optimisation models in industry.
    • Advanced use of optimisation languages.
    • Case study: optimal design of the production and distribution chain.
  • Models based on neural networks
2 ECTS 12h
Project Management, Frameworks for I4.0 and IoT
  • Data Law.
  • Computer Security.
  • Internet of Value (Cryptocurrency).
4 ECTS 30h
Project Management. Agile Methodologies for Cyberphysical Systems
  • Model Based Engineering.
    • PLM.
    • Business models.
    • Repositories of Components and 4.0.
  • Project management philosophies.
    • Scrum, Kambas.
    • Tools for managing Agile projects.
    • Lean Thinking and IoT.
  • Innovation.
    • Development of MVP.
Postgraduate diplomas issued by the Universitat Politècnica de Catalunya. Issued pursuant to art. 34.1 of Organic Law 4/2007 of 12 April, amending Organic Law 6/2001 of 21 December, concerning Universities. To obtain this degree it is necessary to have an official. Otherwise, the Fundació Politècnica de Catalunya will only award them a a certificate of completion. (Ver datos que constan en el certificado).
Range of modules
This postgraduate course is part of the training track for the master's degree in Industry 4.0 .
The master's degree programme is organized into the following modules. If you don't wish to take the entire master's degree you can sign on one or several modules.
Master's degree:
relation Postgraduate courses:

Learning methodology

The teaching methodology of the programme facilitates the student's learning and the achievement of the necessary competences.

Learning tools
Participatory lectures
A presentation of the conceptual foundations of the content to be taught, promoting interaction with the students to guide them in their learning of the different contents and the development of the established competences.
Practical classroom sessions
Knowledge is applied to a real or hypothetical environment, where specific aspects are identified and worked on to facilitate understanding, with the support from teaching staff.
Solving exercises
Solutions are worked on by practising routines, applying formulas and algorithms, and procedures are followed for transforming the available information and interpreting the results.
Case studies
Real or hypothetical situations are presented in which the students, in a completely participatory and practical way, examine the situation, consider the various hypotheses and share their own conclusions.
Success stories
Outstanding business knowledge and experiences with high added value acquired during an outstanding professional career are presented and shared.
Problem-based learning (PBL)
An active learning methodology that enables the student to be involved from the beginning, and to acquire knowledge and skills by considering and resolving complex problems and situations.
Flipped classroom
The contents are prepared prior to the face-to-face lessons. Practical sessions take place in the classroom, which enable understanding and application of concepts to real cases and the expansion of knowledge with more technical and specialised details.
Students are given technical support in the preparation of the final project, according to their specialisation and the subject matter of the project.
Students are supported when undertaking group work, including theoretical sessions which provide the tools and knowledge needed to achieve a result. Ideas and results are exchanged between all the participating groups.
Assessment criteria
At least 80% attendance of teaching hours is required.
Level of participation
The student's active contribution to the various activities offered by the teaching team is assessed.
Solving exercises, questionnaires or exams
Individual tests aimed at assessing the degree of learning and the acquisition of competences.
Work out projects
Studies on a specific topic, by individuals or groups, in which the quality and depth of the work is assessed, among other factors.
Work placements & employment service
Students can access job offers in their field of specialisation on the My_Tech_Space virtual campus. Applications made from this site will be treated confidentially. Hundreds of offers of the UPC School of Professional & Executive Development employment service appear annually. The offers range from formal contracts to work placement agreements.
Virtual campus
The students on this postgraduate course will have access to the My_ Tech_Space virtual campus - an effective platform for work and communication between the course's students, lecturers, directors and coordinators. My_Tech_Space provides the documentation for each training session before it starts, and enables students to work as a team, consult lecturers, check notes, etc.

Teaching team

Academic management
  • Fonseca Casas, Pau
    View profile in futur.upc / View profile in Linkedin
    Doctor at Statistics and Operative Investigation for the Universitat Politècnica de Catalunya (UPC). Teacher of the UPC where imparts teaching at the area of Simulation, the treatment of data, the Operative Investigation and the Statistics. He¿s Responsible of the Area of Environmental Simulation of the inLab FIB leading projects of simulation linked predominately at industrial and environmental areas. He¿s member of the Commission 4.0 of the Industry of Engineers of Catalonia.
Teaching staff
  • Badia Sendra, David
    View profile in Linkedin
    Industrial Engineer by ETSEIB with a postgraduate degree in Operations and Supply Chain Management by UPC and certified of competency in Manufacturing Operations Management by MESA International. CEO at INLEAN Engineering. Embedded Systems & IoT Workgroup Vocal in Industry 4.0 Commission of Engineers of Catalonia. Technical consultant and trainer in secure communication protocols for Industry 4.0 and building automation like OPC UA. Speaker in conferences of AEFI, MESA and other industry events.
  • Bonastre Majoral, Yair
    View profile in Linkedin
    Industrial Engineer from the Universitat Politècnica de Catalunya. Master in Automated and Robotic Production (PAIR) by the CIM UPC. His professional experience starts in the world of control, supervision and maintenance in the railway field, but he quickly enters the world of emerging technologies such as the Internet of Things (IoT) with its corresponding connectivities and the applicability of Machine Learning, the Deep Learning and Neural Networks to the Industry, Retail or Smart City sectors, both in the computer vision part and in the data part. Currently it is CDO to TEDELOC.
  • Fonseca Casas, Antoni
    View profile in Linkedin
    PhD Architect by the UPC of Barcelona. Specialized in energy optimization and sustainability. It has the Professional Accreditation Diploma and Project Experience of the Leed International certification. Postgraduate degree AECEI C ++ and SQL programming. Quality management certification diploma ISO 9001: 2008. Postgraduate specialization 'Rehabilitation in building', by the UPM. Training in Prevention and Occupational Risks - Safety and health, by the UPC. Collaborator in several universities as researcher and teacher.
  • Fonseca Casas, Pau
    View profile in futur.upc / View profile in Linkedin
    Doctor at Statistics and Operative Investigation for the Universitat Politècnica de Catalunya (UPC). Teacher of the UPC where imparts teaching at the area of Simulation, the treatment of data, the Operative Investigation and the Statistics. He¿s Responsible of the Area of Environmental Simulation of the inLab FIB leading projects of simulation linked predominately at industrial and environmental areas. He¿s member of the Commission 4.0 of the Industry of Engineers of Catalonia.
  • Fontquerni Gorchs, Agustí
    View profile in Linkedin
    Industrial Engineer for the UPC (ETSEIB), Electronic Engineer for the UPC (ETSETB), Industrial Technical Engineer speciality at Industrial Electronics for the UAB (EUSS). Founder and CTO during 10 years at local company manufacturer of embedded complex with export at international customers. Engineer with an experience of more of 20 years at the Industry at the integration of electronics advanced and programming of software at ecosystems GNU/Linux. Accrued experience of 20 years at university teaching of grades and master¿s degrees accredited by the AQU. Technological advisor at the TIC area at the public sector.
  • Gibert Oliveras, Karina
    View profile in futur.upc
    Ph.D. in Computer Science at UPC. Associate Professor at the Dep. Statistics and Operations Research (UPC), leading courses related with her research areas in Degree in Statistics, D. in Informatics Engineering, Master in Informatics Engineering, M. in Artificial Intelligence, M. in Sustainability, all at UPC, and its associated PhD programs. ViceDean for Big Data and Data Science of the Official Professional Chamber of Informatics Engineering of Catalonia. Subdirector of IDEAI Research center (UPC).
  • Heredia Cervera, Francisco Javier
    View profile in futur.upc / View profile in Linkedin
    Graduated in Physical Sciences from the University of Barcelona (UB) and Doctor in Operations Research from the Polytechnic University of Catalonia (UPC). Associate Professor in the Department of Statistics and Operations Research at the UPC. His area of interest is mathematical optimization models and algorithms applied to problems in energy systems (renewable energy, electricity market), and supply chain (Industry 4.0). He has participated in a total of 17 funded research projects, seven of them as principal investigator, in collaboration with various companies in the energy sector and industrial production.
  • Lloret Garcia, Jose Maria
    View profile in Linkedin
    Engineer at Automatic and Industrial Electronics for it UPC. Master´s degree in Control of Edifices and Sustainable Architecture for it URL. With more of 15 years of experience at software of control, supervision and IoT, at present develops his professional task at Rockwell Automation. Advisor at the companies at his path of automation and digitalization, as well as at the integration of the new techs at the factory, to improve his productivity.
  • Marco Párraga, Daniel
    View profile in Linkedin
    A graduate in Electronic Engineering from the UPC and a Master's Degree in Business Administration from ESADE. He is currently director of the SmartCatalonia strategy for the Government of Catalonia, where he has held other positions in the last 11 years, including head of the ICT Industrial Promotion programmes of the Secretariat for Telecommunications, Cybersecurity and Digital Society. He previously worked in the private sector, holding various positions in the strategic consultancy field in the Information and Communication Technologies sector, and in research and development projects.
  • Peiró Alemany, Josep Maria
    View profile in Linkedin
    Engineer by the ETSEIB of Barcelona. Specialty Electricity and Power Electronics. Commercial and Marketing Management for EADA Barcelona. He has worked for more than 36 years in multinational companies (SquareD, Telemecanique, Merlin Gerin, Crouzet and Schneider Electric) in the sectors of protection, electrical distribution and automation for buildings and infrastructures, industrial control, machine safety, automation systems of industrial processes and Data center installation systems. He's currently a member of the Energy / Renewable Energy Commission, also member of the SmartCities and Embedded Systems & IOT Working Groups of the Industrial Engineers Association of Catalonia and member of CMES Committee for the new energy and social model.
  • Soler Puig, Carles
    View profile in Linkedin
    Telecommunications Engineer from the Universitat Politècnica de Catalunya (UPC) and Master in Business Administration from the School of Business Administration and Management (ESADE). Most of his career has been spent in management positions in technology services companies. He is currently Director of Casiopea Robotics, a strategic consultancy in collaborative and service robotics, and President of the educaBOT Foundation, a project dedicated to the promotion of technology and engineering through robotics competitions.

Associates entities

Collaborating partners

Career opportunities

  • Chief Artificial Intelligence Officer (Industrial).
  • Chief Technology Officer (Industrial).
  • Chief Product Officer.
  • Chief Operation Officer.

Request information or admission

Request received!
After we have registered your request, you will receive confirmation by email and we will be in touch.

Thank you for your interest in our training programmes.
Due to an error in the connection to the database, your submission has not been processed. Please try again later, phone us on (34) 93 112 08 08, or send us an email at:
You have exceeded the maximum size of the file
  • If you have any doubts about the postgraduate course.
  • If you want to start the registration procedure.
How to start admission
To start the enrolment process for this programme you must complete and send the form that you will find at the bottom of these lines.

Next you will receive a welcome email detailing the three steps necessary to formalize the enrolment procedure:

1. Complete and confirm your personal details.

2. Validate your curriculum vitae and attach any additional required documentation, whenever this is necessary for admission.

3. Pay €110 in concept of the registration fee for the programme. This fee will be discounted from the total enrolment fee and will only be returned when a student isn't admitted on a programme.

Once the fee has been paid and we have all your documentation, we will assess your candidacy and, if you are admitted on the course, we will send you a letter of acceptance. This document will provide you with all the necessary information to formalize the enrolment process for the programme.

  date protection policy

* Mandatory fields

Información básica o primera capa sobre protección de datos


Fundació Politècnica de Catalunya (en adelante, FPC). + INFORMACIÓN


Contestar a las solicitudes de información del interesado sobre actividades de formación gestionadas o realizadas por la FPC. + INFORMACIÓN

Establecimiento o mantenimiento de relación académica con el interesado. + INFORMACIÓN


Consentimiento del interesado. + INFORMACIÓN

Interés legítimo en el desarrollo de la relación académica. + INFORMACIÓN


No existen cesiones o comunicaciones.


Acceso, rectificación, supresión, limitación, oposición y portabilidad. + INFORMACIÓN

Datos de contacto del delegado de protección de datos

Información adicional

Política de Privacidad de nuestra página Web. + INFORMACIÓN

Plazo de conservación

Política de Privacidad de nuestra página Web. + INFORMACIÓN

Cesión de imagen

Aceptación a la cesión, por un periodo de 10 años, las imágenes que la FPC pueda captar en las instalaciones donde se desarrolle su actividad, a fin de difundir y promocionar las actividades de la FPC y por el medio que esta tenga por conveniente.

Servicios de pago

En caso que el interesado formalice la relación con la FPC, el ordenante (interesado) autoriza y da su consentimiento al cargo, por tanto, con renuncia expresa al derecho de devolución sobre el cargo.