Expert in Digital Engineering and Industry 4.0

Q: MODULE 0: Onboarding: Digital Tools for Engineers

* 0.1 Introduction to Python for Engineers * 0.2 Introduction to Cloud Computing * 0.3 Best Practices in Digital Development for Engineering * 0.4 AI Tools as Productivity Assistants

Q: MODULE 2: Industrial Cybersecurity

* 2.1 Fundamentals of IT Cybersecurity * 2.2 Cybersecurity Concepts and Challenges in Industrial Environments * 2.3 Secure Architectures * 2.4 Security in IIoT and Cloud Platforms * 2.5 Incident Monitoring and Response

Q: MODULE 3: Industrial Big Data Analytics

* 3.1 Fundamentals of Big Data * 3.2 Data Infrastructure * 3.3 Processing and Analysis * 3.4 Integration with IIoT and Governance

Q: MODULE 4: Artificial Intelligence Applied to Industry

* 4.1 Fundamentals of AI Applied to Industry * 4.2 Machine Learning in Industrial Production * 4.3 Deep Learning * 4.4 AI in Predictive Maintenance and Visual Inspection * 4.5 Generative AI and Intelligent Agents for Industry * 4.6 Physical AI and Intelligent Robotics * 4.7 Responsible and Explainable AI

Next issue: September 2027

M11_Hero_ImagenDestacada_Ingeniería industrial e informática Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

Proprietary Title

Degree type

19 ECTS

Duration

Online

Teaching mode

Spanish

Language

September 2027

Start date

2.640€

Tuition fee

Advanced technical training in the enabling technologies of Industry 4.0: Industrial IoT, Cloud Computing, Big Data Analytics, OT/IT Cybersecurity, and Applied Artificial Intelligence.

Practical integration of IoT, cloud, cybersecurity, AI, and data analytics applied to real-world industrial environments, featuring hands-on labs and publicly available or open-source tools.

With a unique value proposition focused on:

A 100% technical and applied approach, unlike MBA-oriented programs.
Comprehensive perspective: the only programme in Spanish that covers the entire industrial digitization stack.
Faculty members currently working at leading companies (AWS, Moeve, Nanomate, Galeo Tech, Wiz, Zero Networks).
Hands-on labs with real tools: ThingsBoard, AWS IoT, Apache Spark, Wireshark, TensorFlow, Google Colab, Data Bricks, Cisco Packet Tracer, etc.
The faculty has proven experience at top-tier business schools (IE Business School, ESADE, IMMUNE, MIOTI).

24 Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

Collaborating Organizations and Partners

AWS

Google Cloud

Cognite

Palantir

Things Board

AWS

Google Cloud

Cognite

Palantir

Things Board

AWS

Google Cloud

Cognite

Palantir

Things Board

AWS

Google Cloud

Cognite

Palantir

Things Board

AWS

Google Cloud

Cognite

Palantir

Things Board

AWS

Google Cloud

Cognite

Palantir

Things Board

AWS

Google Cloud

Cognite

Palantir

Things Board

AWS

Google Cloud

Cognite

Palantir

Things Board

Curriculum

MODULE 0: Onboarding: Digital Tools for Engineers

0.1 Introduction to Python for Engineers
0.2 Introduction to Cloud Computing
0.3 Best Practices in Digital Development for Engineering
0.4 AI Tools as Productivity Assistants

MODULE 1: Industrial IoT Platforms & Cloud Computing

1.1 Introducción al IoT Industrial (IIoT) 1.2 Infraestructura y Conectividad 1.3 Plataformas IoT & Cloud 1.4 Integración de Datos Industriales<

MODULE 2: Industrial Cybersecurity

2.1 Fundamentals of IT Cybersecurity
2.2 Cybersecurity Concepts and Challenges in Industrial Environments
2.3 Secure Architectures
2.4 Security in IIoT and Cloud Platforms
2.5 Incident Monitoring and Response

MODULE 3: Industrial Big Data Analytics

3.1 Fundamentals of Big Data
3.2 Data Infrastructure
3.3 Processing and Analysis
3.4 Integration with IIoT and Governance

MODULE 4: Artificial Intelligence Applied to Industry

4.1 Fundamentals of AI Applied to Industry
4.2 Machine Learning in Industrial Production
4.3 Deep Learning
4.4 AI in Predictive Maintenance and Visual Inspection
4.5 Generative AI and Intelligent Agents for Industry
4.6 Physical AI and Intelligent Robotics
4.7 Responsible and Explainable AI

What does it prepare you for?

Upon completion of the " programme," students will be able to:

Identify industries with high potential for digital transformation and design a digital transformation roadmap for industrial companies.
Design, deploy, and manage industrial IoT architectures by integrating sensors, gateways, cloud platforms, and standard protocols (OPC UA, MQTT).
Implement industrial data pipelines using Big Data technologies (Spark, Kafka) and descriptive, predictive, and prescriptive analytics techniques.
Assess cybersecurity risks in OT/IT environments and apply reference frameworks (IEC 62443, NIST) to protect critical infrastructure.

25 Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

Student Profile

Academic Profile

Graduates with a bachelor's degree in Industrial Engineering, Mechanical Engineering, Electrical Engineering, Electronic Engineering, Chemical Engineering, or Industrial Management.
Graduates with degrees in Computer Engineering, Telecommunications, or Automation who are interested in the industrial sector.
Graduates with degrees in the sciences (Physics, Mathematics, Statistics) who have experience or an interest in the industrial sector.

Professional Profile

Plant, production, maintenance, or quality managers seeking to lead the digital transformation of their operations.
Technology consultants, systems integrators, and OT/IT solution providers.
Technical executives (CTO, CIO, CDO) at medium and large industrial companies.
Professionals from government agencies, technology parks, and industrial innovation centers.
Master's or doctoral students who wish to supplement their education with industrial digital skills.

Why study at UFV?

Flexibility

You can access face-to-face, blended, or online master's degrees that allow you to combine your studies with your work schedule and personal life.

Specialization

Gain access to a wide range of master's degrees designed based on real market needs, allowing you to specialize in the most in-demand areas.

Employability

We have numerous agreements in place that facilitate job placement and help students find employment easily after completing their studies.

Training with values

Engage in a person-centered educational model that fosters ethical values, critical thinking, and a commitment to the common good.

Expert Faculty

We have a high-level faculty in all academic areas, offering practical and experiential training in the professional world at all times.

Discover the campus

Foto del campus Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

A unique campus

A campus covering more than 23 hectares with leisure and learning spaces, faculties, and green areas designed to provide a very special university experience.

Fácilmente accesible Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

Easily accessible

Getting to UFV is easy. From Madrid, you can get there by several bus lines or by using the carpool option on the app.

Centro Deportivo Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

Sports Center

Train at fully equipped sports facilities with a gym, swimming pools, courts, and guided activities designed to improve your well-being.

Espacios de innovación Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

Spaces for innovation

You will have access to advanced laboratories, clinical simulators, and research centers that enhance professional practice from day one.

Bibliotecas y zonas de estudio Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

Libraries and Study Areas

Gain access to well-equipped libraries and individual and group workspaces that facilitate your learning and projects on campus.

Price

Total amount

2.640€

Divided into:

Reservation fee: 530€
Tuition: €2,110

Faculty and Expert Professionals

Further information

Admission Guide

Related titles

M11_Hero Imagen Destacada_ingeniería industrial Expert in Digital Engineering and Industry 4.0 Study at the Universidad Privada Madrid

Master's Degree in Industrial Engineering

Contact

Schedule
9:00 a.m. to 6:00 p.m., Monday through Thursday. Fridays from 9:00 a.m. to 6:00 p.m.
Phone
+34 91 709 14 24
Email
postgrado@ufv.es
Instagram
@postgradoufv
TikTok
@postgradoufv
LinkedIn
UFV Graduate School