Enter a constantly evolving technology sector and get up to date to achieve the best benefits for your digital business. Enroll now"  


Today's progress has new technologies as a great ally, a digital transformation present from the educational bases to sectors such as aviation, automobiles, the arms industry, commerce and finance. All of this is geared towards the achievement of a true digital economy, in which the engineering professional plays a leading role thanks to their knowledge.

Change is rapid, accelerated by the pandemic caused by coronavirus, and initiatives from Open Source communities, Startups and public institutions are emerging. The current scenario is completely favorable and forecasts predict a successful future for those who have decided to take this path and face the challenges posed by Industry 4.0. That is why TECH has gathered in this Professional Master’s Degree a relevant teaching team in the engineering sector, whose main objective is to offer the most up-to-date knowledge in an area with great potential.

A program with a practical theoretical approach, which provides the graduate with a study in depth on virtual, augmented and mixed reality, industry 4.0 applied to sectors such as tourism, energy, construction or smart factory, or automation systems. The case studies provided by the specialists who teach this degree will provide students with a learning experience that is close to the reality they may encounter in their work performance in different areas.

The professional is also faced with a program that is taught exclusively online, in a convenient and flexible way. All you need is a computer, tablet or cell phone to connect to the virtual campus and access the complete syllabus of this degree. A program, without presence, or classes without fixed schedules, which also gives freedom to view or download the content of this Professional Master's Degree when the student wishes. The engineer is, therefore, facing an excellent opportunity to boost their career in a sector with a wide range of opportunities and also with a university education that is compatible with the most demanding responsibilities.

Give your profession a boost with this Professional Master’s Degree and get the main tools and techniques to succeed in the Industry 4.0 field"

This Professional Master’s Degree in Digital Transformation and Industry 4.0 contains the most complete and up-to-date program on the market. The most important features include: 

  • The development of case studies presented by experts in Digital Transformation and Industry 4.0.
  • The graphic, schematic and practical contents of the book provide technical and practical information on those disciplines that are essential for professional practice
  • Practical exercises where self-assessment can be used to improve learning
  • Its special emphasis on innovative methodologies in Advanced Practice Nursing
  • Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
  • Content that is accessible from any fixed or portable device with an Internet connection

Give your profession a boost with this Professional Master’s Degree and get the main tools and techniques to succeed in the Industry 4.0 field"

The teaching staff includes professionals from the engineering sector, who bring their experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive learning programmed to train in real situations.

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different situations of professional practice that arise throughout the Professional Master's Degree. To do this, the professional will be assisted by an innovative interactive video system made by recognized experts in Digital Transformation and Industry 4.0, and with great experience.

The completion of this university degree will place engineering professionals at the forefront of the latest developments in Industry 4.0."


Video summaries, detailed videos or specialized readings will allow you to delve into essential technologies in the tourism, agriculture or manufacturing sectors"


The syllabus of this Professional Master’s Degree has been designed with the objective of offering the most recent information and close to the reality of the market and the new needs in terms of digitalization and automation, crisis management and incorporation of new exponential and emerging technologies. To this end, the students have 10 modules with advanced and dynamic content, based on video summaries, videos in detail or interactive diagrams, which will lead them into the Digital Transformation and Industry 4.0 In addition, the Relearning system will help you progress naturally through the course, reducing even the long hours of study that are so frequent in other teaching methods.


Are you thinking of launching your own Industry 4.0 Startup? This syllabus will show you the most comprehensive and essential content in this field. Enroll now” 

Module 1. Blockchain and Quantum Computing

1.1. Aspects of Decentralization

1.1.1. Market Size, Growth, Companies and Ecosystem
1.1.2. Fundamentals of Blockchain

1.2. Background: Bitcoin, Ethereum, etc.

1.2.1. Popularity of Decentralized Systems
1.2.2. Evolution of Decentralized Systems

1.3. Blockchain Operation and Examples

1.3.1. Types of Blockchain and Protocols
1.3.2. Wallets, Mining and More

1.4. Characteristics of Blockchain Networks

1.4.1. Functions and Properties of Blockchain Networks
1.4.2. Applications: Cryptocurrencies, Reliability, Chain of Custody, etc

1.5. Types of Blockchain

1.5.1. Public and Private Blockchains
1.5.2. Hard and Soft Forks

1.6. Smart Contracts

1.6.1. Intelligent Contracts and Their Potential
1.6.2. Smart Contract Applications

1.7. Industry Use Models

1.7.1. Blockchain Applications by Industry
1.7.2. Blockchain Success Stories by Industry

1.8. Security and Cryptography

1.8.1. Objectives of Cryptography
1.8.2. Digital Signatures and Hash Functions

1.9. Cryptocurrencies and Uses

1.9.1. Types of Cryptocurrencies Bitcoin, HyperLedger, Ethereum, Litecoin, etc.
1.9.2. Current and Future Impact of Cryptocurrencies
1.9.3. Risks and Regulations

1.10. Quantum Computing

1.10.1. Definition and Keys
1.10.2. Uses of Quantum Computing

Module 2. Big Data and Artificial Intelligence

2.1. Fundamental Principles of Big Data

2.1.1. Big Data
2.1.2. Tools to Work With Big Data

2.2. Data Mining and Warehousing

2.2.1. Data Mining Cleaning and Standardization
2.2.2. Information Extraction, Machine Translation, Sentiment Analysis, etc
2.2.3. Types of Data Storage

2.3.  Data Intake Applications

2.3.1. Principles of Data intake
2.3.2. Data Ingestion Technologies to Serve Business Needs

2.4. Viewing Data

2.4.1. The Importance of Data Visualization
2.4.2. Tools to Carry It Out Tableau, D3, matplotlib (Python), Shiny®

2.5. Machine Learning

2.5.1. Understanding Machine Learning
2.5.2. Supervised and Unsupervised Learning
2.5.3. Types of Algorithms

2.6. Neural Networks (Deep Learning)

2.6.1. Neural Network: Parts and Operation
2.6.2. Types of Networks CNN, RNN
2.6.3. Applications of Neural Networks; Image Recognition and Natural Language Interpretation
2.6.4. Generative Text Networks: LSTM

2.7. Natural Language Recognition

2.7.1. PLN (Processing Natural Language)
2.7.2. Advanced PLN Techniques: Word2vec, Doc2vec

2.8. Chatbots and Virtual Assistants

2.8.1. Types of Assistants: Voice and Text Assistants
2.8.2. Fundamental Parts of the Development Assistant: Intents, Entities and Dialog flow
2.8.3. Integrations: Web, Slack, WhatsApp, Facebook
2.8.4. Assistant Development Tools: Dialog Flow, Watson Assistant

2.9. Emotions, Creativity and Personality in IA

2.9.1. Understand How to Detect Emotions Using Algorithms
2.9.2. Creating a Personality: Language, Expressions and Content

2.10. Future of Artificial Intelligence
2.11. Reflections

Module 3. Virtual, Augmented and Mixed Reality

3.1. Market and Tendencies

3.1.1. Current Market Situation
3.1.2. Reports and Growth by Different Industries

3.2. Differences Between Virtual, Augmented and Mixed Reality

3.2.1. Differences Between Immersive Realities
3.2.2. Immersive Reality Typology

3.3. Virtual Reality Cases and Uses

3.3.1. Origin and Fundamentals of Virtual Reality
3.3.2. Cases Applied to Different Sectors and Industries

3.4. Augmented Reality. Cases and Uses

3.4.1. Origin and Fundamentals of Augmented Reality
3.4.2. Cases Applied to Different Sectors and Industries

3.5. Mixed and Holographic Reality

3.5.1. Origin, History and Fundamentals of Mixed and Holographic Reality
3.5.2. Cases Applied to Different Sectors and Industries

3.6. 360º Photography and Video

3.6.1. Camera Typology
3.6.2. Uses of 360 Images
3.6.3. Creating a Virtual Space in 360 Degrees

3.7. Virtual World Creation

3.7.1. Platforms for the Creation of Virtual Environments
3.7.2. Strategies for the Creation of Virtual Environments

3.8. User Experience (UX)

3.8.1. Components in the User Experience
3.8.2. Tools for the Creation of User Experiences

3.9. Devices and Glasses for Immersive Technologies

3.9.1. Device Typology on the Market
3.9.2. Glasses and Wearables: Operation, Models and Uses
3.9.3. Smart Glasses Applications and Evolution

3.10. Future Immersive Technologies

3.10.1. Tendencies and Evolution
3.10.2. Challenges and Opportunities

Module 4. 4.0 Industry

4.1. Definition of 4.0 Industry

4.1.1. Features

4.2. Benefits of the 4.0 Industry

4.2.1. Key Factors
4.2.2. Main Advantages

4.3. Industrial Revolutions and Vision of the Future

4.3.1. Industrial Revolutions
4.3.2. Keys Factors in Each Revolution
4.3.3. Technological Principles as a Basis for Possible New Revolutions

4.4. The Digital Transformation of the Industry

4.4.1. Characteristics of the Digitization of the Industry
4.4.2. Disruptive Technologies
4.4.3. Applications in the Industry

4.5. Forth Industrial Revolution Key Principles of Industry 4.0

4.5.1. Definitions
4.5.2. Key Principles and Applications

4.6. 4.0 Industry and Industrial Internet

4.6.1. Origin of IIoT
4.6.2. Operation
4.6.3. Steps to Follow for its Implementation
4.6.4. Benefits

4.7. Smart Factory Principles

4.7.1. Smart Factory
4.7.2. Elements That Define a Smart Factory
4.7.3. Steps to Deploy a Smart Factory

4.8. Status of the 4.0 Industry

4.8.1. Status of the 4.0 Industry in Different Sectors
4.8.2. Barriers to the Implementation of 4.0 Industry

4.9. Challenges and Risks

4.9.1. DAFO Analysis
4.9.2. Challenges

4.10. Role of Technological Capabilities and the Human Factor

4.10.1. Disruptive Technologies in Industry 4.0
4.10.2. The Importance of the Human Factor Key Factor

Module 5. Leading Industry 4.0

5.1. Leadership Abilities

5.1.1. Leadership Factors in the Human Factor
5.2.2. Leadership and Technology

5.2. Industry 4.0 and the Future of Production

5.2.1. Definitions
5.2.2. Production Systems
5.2.3. Future of Digital Production Systems

5.3. Effects of Industry 4.0

5.3.1. Effects and Challenges

5.4. Essential Technologies in Industry 4.0

5.4.1. Definition of Technologies
5.4.2. Characteristics of Technologies
5.4.3. Applications and Impacts

5.5. Digitization of Manufacturing

5.2.1. Definitions
5.5.2. Benefits of the Digitization of Manufacturing
5.5.3. Digital Twins

5.6. Digital Capabilities in an Organization

5.6.1. Development Digital Capabilities
5.6.2. Understanding the Digital Ecosystem
5.6.3. Digital Vision of the Business

5.7. Architecture Behind a Smart Factory

5.7.1. Areas and Operations
5.7.2. Connectivity and Security
5.7.3. Case Uses

5.8. Technology Markers in the Post Covid Era

5.8.1. Technological Challenges in the Post Covid Era
5.8.2. New Case Uses

5.9. The Era of Absolute Virtualization

5.9.1. Virtualisation
5.9.2. The New Era of Virtualization
5.9.3. Advantages

5.10. Current Situation in Digital Transformation Gartner Hype

5.10.1. Gartner Hype
5.10.2. Analysis of Technologies and Their Status
5.10.3. Data Exploitation

Module 6. Robotics, Drones and Augmented Workers

6.1. Robotics

6.1.1. Robotics, Societies and Cinema
6.1.2. Components and Parts of Robot

6.2. Robotics and Advanced Automation: Simulators, Cobots

6.2.1. Transfer of Learning
6.2.2. Cobots and Case Uses

6.3. RPA (Robotic Process Automatization)

6.3.1. Understanding RPA and its Functioning
6.3.2. RPA Platforms, Projects and Roles

6.4. Robot as a Service (RaaS)

6.4.1. Challenges and Opportunities for Implementing Raas Services and Robotics in Enterprises
6.4.2. Operation of a Raas system

6.5. Drones and Automated Vehicles

6.5.1. Components and Drones Operation 
6.5.2. Uses, Types and Applications of Drones
6.5.3. Evolution of Drones and Autonomous Vehicles

6.6. The Impact of 5G

6.6.1. Evolution of Communications and Implications
6.6.2. Uses of 5G Technology

6.7. Augmented Workers

6.7.1. Human Machine Integration in Industrial Environments
6.7.2. Challenges in Worker-Robot Collaboration

6.8. Transparency, Ethics and Traceability

6.8.1. Ethical Challenges in Robotics and Artificial Intelligence
6.8.2. Monitoring, Transparency and Traceability Methods

6.9. Prototyping, Components and Evolution

6.9.1. Prototyping Platforms
6.9.2. Phases to Make a Prototype

6.10. Future of Robotics

6.10.1. Trends in Robotization
6.10.2. New Types of Robots

Module 7. Industry 4.0 Automation Systems

 71. Industrial Automation

7.1.1. Automization
7.1.2. Architecture and Components
7.1.3. Safety

7.2. Industrial Robotics

7.2.1. Fundamentals of Industrial Robotics
7.2.2. Models and Impact on Industrial Processes

7.3. PLC Systems and Industrial Control

7.3.1. PLC Evolution and Status
7.3.2. Evolution of Programming Languages
7.3.3. Computer Integrated Automation CIM

7.4. Sensors and Actuators

7.4.1. Classification of Transducers
7.4.2. Types of Sensors
7.4.3. Standardization of Signals

7.5. Monitor and Manage

7.5.1. Types of Actuators
7.5.2. Feedback Control Systems

7.6. Industrial Connectivity

7.6.1. Standardized Fieldbuses
7.6.2. Connectivity

7.7. Proactive / Predictive Maintenance

7.7.1. Predictive Maintenance
7.7.2. Fault Identification and Analysis
7.7.3. Proactive Actions Based on Predictive Maintenance

7.8. Continuous Monitoring and Prescriptive Maintenance

7.8.1. Prescriptive Maintenance Concept in Industrial Environments
7.8.2. Selection and Exploitation of Data for Self-Diagnostics

 7.9. Lean Manufacturing

 7.9.1. Lean Manufacturing
7.9.2. Benefits Lean Implementation in Industrial Processes

 7.10. Industrialized Processes in Industry 4.0. Use Case

 7.10.1. Project Definition
7.10.2. Technological Selection
7.10.3. Connectivity
7.10.4. Data Exploitation

Module 8. Industry 4.0 Services and Sectorial Solutions (I)

8.1. Industry 4.0 and Business Strategies

8.1.1. Factors of Business Digitalization
8.1.2. Roadmap for Business Digitalization

8.2. Digitalization of Processes and the Value Chain

8.2.1. Value Chain
8.2.2. Key Steps in the Digitization of Processes

8.3. Sector Solutions for the Primary Sector

8.3.1. The Primary Economic Sector
8.3.2. Characteristics of Each Subsector

8.4. Digitization of the Primary Sector: Smart Farms

8.4.1. Main Characteristics
8.4.2. Keys Factors of Digitization

8.5. Digitization of the Primary Sector: Digital and Intelligent Agriculture

8.5.1. Main Characteristics
8.5.2. Keys Factors of Digitization

8.6. Sector Solutions in the Secondary Sector

8.6.1. The Secondary Economic Sector
8.6.2. Characteristics of Each Subsector

8.7. Digitization of the Secondary Sector: Smart Factory

8.7.1. Main Characteristics
8.7.2. Keys Factors of Digitization

8.8. Digitization of the Secondary Sector: Energy

8.8.1. Main Characteristics
8.8.2. Keys Factors of Digitization

8.9. Digitization of the Secondary Sector: Construction

8.9.1. Main Characteristics
8.9.2. Keys Factors of Digitization

8.10. Digitization of the Secondary Sector: Mining

8.10.1. Main Characteristics
8.10.2. Keys Factors of Digitization

Module 9. Industry 4.0 Industry Services and Solutions (II)

9.1. Tertiary Sector Solutions

9.1.1. Tertiary Economic Sector
9.1.2. Characteristics of Each Subsector

9.2. Digitalization of the Tertiary Sector: Transportation

9.2.1. Main Characteristics
9.2.2. Keys Factors of Digitization

9.3. Digitization of the Tertiary Sector: eHealth

9.3.1. Main Characteristics
9.3.2. Keys Factors of Digitization

9.4. Digitization of the Tertiary Sector: Smart Hospitals

9.4.1. Main Characteristics
9.4.2. Keys Factors of Digitization

9.5. Digitization of the Tertiary Sector: Smart Cities

9.5.1. Main Characteristics
9.5.2. Keys Factors of Digitization

9.6. Digitalization of the Tertiary Sector: Logistics

9.6.1. Main Characteristics
9.6.2. Keys Factors of Digitization

9.7. Digitalization of the Tertiary Sector: Tourism

9.7.1. Main Characteristics
9.7.2. Keys Factors of Digitization

9.8. Digitization of the Tertiary Sector: Fintech

9.8.1. Main Characteristics
9.8.2. Keys Factors of Digitization

9.9. Digitalization of the Tertiary Sector: Mobility

9.9.1. Main Characteristics
9.9.2. Keys Factors of Digitization

9.10. Future Technological Tendencies

9.10.1. New Technological Innovations
9.10.2. Application Trends

Module 10. Internet of Things (IoT)

10.1. Cyber-Physical Systems (CPS) in the Industry 4.0 Vision

10.1.1. Internet of Things (IoT)
10.1.2. Components Involved in IoT
10.1.3. Cases and Applications of IoT

10.2. Internet of Things and CyberPhysical Systems

10.2.1. Computing and Communication Capabilities to Physical Objects
10.2.2. Sensors, Data and Elements in Cyber-Physical Systems

10.3. Device Ecosystem

10.3.1. Typologies, Examples and Uses
10.3.2. Applications of the Different Devices

10.4. IoT Platforms and their Architecture

10.4.1. IoT Market Typologies and Platforms
10.4.2. Operation of an IoT Platform

10.5. Digital Twins

10.5.1. Digital Twin
10.5.2. Uses and Applications of the Digital Twin

10.6. Indoor & outdoor Geolocation (Real Time Geospatial)

10.6.1. Indoor and Outdoor Geolocation Platforms
10.6.2. Implications and Challenges of Geolocation in an IoT Project

10.7. Security Intelligence Systems

10.7.1. Typologies and Platforms for Security Systems Implementation
10.7.2. Components and Architectures in Intelligent Safety Systems

10.8. IoT and IIoT Platform Security

10.8.1. Security Components in an IoT System
10.8.2. IoT Security Implementation Strategies

10.9. Wearables at work

10.9.1. Types of Wearables in Industrial Environments
10.9.2. Lessons Learned and Challenges in Implementing Wearables in the Workplace
10.10. Implementing an API to Interact with a Platform
10.10.1. Types of APIs Involved in an IoT Platform
10.10.2. API Market
10.10.3. Strategies and Systems to Implement API 


You are looking at an online program that will allow you to get into the ecosystem of IoT devices and platforms"