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

New technologies have driven Industry 4.0, but another major revolution has come from the pandemic caused by COVID-19. Drones, artificial intelligence, 3D printing have undergone a push that has revealed their great potential in many sectors. However, this situation has also served for the detection of digital deficiencies in other fields, which currently seek to develop using not only the tools and techniques themselves, but also favoring collaborative work. An ideal scenario for engineering professionals who are in high demand in an emerging sector. This 100% online program provides the latest information on the Internet of things, Robotics, Big Data or Quantum Computing. As could not be otherwise, it will feature innovative multimedia content, in which the latest technology applied to academic teaching has been used. 

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 graduates 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.

Professionals, are also faced with a program that is taught exclusively online, in a convenient and flexible way. All they need is a computer, tablet or cell phone to connect to the virtual campus and access the complete syllabus of this program.

A program, without attendance or classes with fixed schedules, which also gives students the freedom to view or download the content of this Professional Master's Degree whenever they wish. Engineers are, 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"

ThisProfessional 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 eminently practical contents with which it is conceived provide technical and practical information on those disciplines that are essential for professional practice.
• Practical exercises where the self-assessment process can be carried out to improve learning.
• Its special emphasis on innovative methodologies
• 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

This 100% online MBA will allow you to combine a university education with your professional work. You choose where and when to access"  

The program includes in its teaching staff, professionals of the sector who pour into this specialization the experience of their work, in addition to recognized specialists from reference 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 education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts. 

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, students have at their disposal 10 modules with advanced yet 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 A rtificial Itelligence

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. Data Visualization

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 for the Development of an 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. The 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
5.1.2.  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

5.5.1. 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. Virtualization
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. Functioning 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

7.1. 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 of 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 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 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. 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: e-Health

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 Cyber-Physical 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 Twins
10.5.2. Uses and Applications 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 Integrations

Module 11. Leadership, Ethics and Social Responsibility in Companies 

11.1. Globalization and Governance 

11.1.1. Governance and Corporate Governance 
11.1.2. The Fundamentals of Corporate Governance in Companies 
11.1.3. The Role of the Board of Directors in  the Corporate Governance Framework 

11.2. Leadership 

11.2.1. Leadership A Conceptual Approach 
11.2.2. Leadership in Companies 
11.2.3. The Importance of Leaders in Business Management 

11.3. Cross Cultural Management 

11.3.1. Cross Cultural Management Concept    
11.3.2. Contributions to Knowledge of National Cultures 
11.3.3. Diversity Management 

11.4. Management and Leadership Development 

11.4.1. Concept of Management Development 
11.4.2. Concept of Leadership 
11.4.3. Leadership Theories 
11.4.4. Leadership Styles 
11.4.5. Intelligence in Leadership 
11.4.6. The Challenges of Today's Leader 

11.5. Business Ethics 

11.5.1. Ethics and Morality 
11.5.2. Business Ethics 
11.5.3. Leadership and Ethics in Companies 

11.6. Sustainability 

11.6.1. Sustainability and Sustainable Development 
11.6.2. The 2030 Agenda 
11.6.3. Sustainable Companies 

11.7. Corporate Social Responsibility 

11.7.1. International Dimensions of Corporate Social Responsibility 
11.7.2. Implementing Corporate Social Responsibility 
11.7.3. The Impact and Measurement of Corporate Social Responsibility 

11.8. Responsible Management Systems and Tools 

11.8.1. CSR: Corporate Social Responsibility 
11.8.2. Essential Aspects for Implementing a Responsible Management Strategy 
11.8.3. Steps for the Implementation of a Corporate Social Responsibility Management System 
11.8.4. CSR Tools and Standards 

11.9. Multinationals and Human Rights 

11.9.1. Globalization, Multinational Companies and Human Rights 
11.9.2. Multinational Corporations and International Law 
11.9.3. Legal Instruments for Multinationals in the Area of Human Rights 

11.10. Legal Environment and Corporate Governance 

11.10.1. International Rules on Importation and Exportation 
11.10.2. Intellectual and Industrial Property 
11.10.3. International Labor Law  

Module 12. People and Talent Management 

12.1. Strategic People Management 

12.1.1. Strategic Human Resources Management 
12.1.2. Strategic People Management 

12.2. Human Resources Management by Competencies 

12.2.1. Analysis of the Potential 
12.2.2. Remuneration Policy 
12.2.3. Career/Succession Planning 

12.3. Performance Evaluation and Performance Management 

12.3.1. Performance Management 
12.3.2. Performance Management: Objectives and Process 

12.4. Innovation in Talent and People Management 

12.4.1. Strategic Talent Management Models 
12.4.2.  Talent Identification, Training and Development 
12.4.3. Loyalty and Retention 
12.4.4. Proactivity and Innovation 

12.5. Motivation 

12.5.1. The Nature of Motivation 
12.5.2. Expectations Theory 
12.5.3. Needs Theory 
12.5.4. Motivation and Financial Compensation 

12.6. Developing High Performance Teams 

12.6.1. High-Performance Teams: Self-Managed Teams 
12.6.2. Methodologies for the Management of High Performance Self-Managed Teams 

12.7. Change Management 

12.7.1. Change Management 
12.7.2. Type of Change Management Processes 
12.7.3. Stages or Phases in the Change Management Process 

12.8. Negotiation and Conflict Management 

12.8.1. Negotiation 
12.8.2. Conflict Management 
12.8.3. Crisis Management 

12.9. Executive Communication 

12.9.1. Internal and External Communication in the Corporate Environment 
12.9.2. Communication Departments 
12.9.3. The Person in Charge of Communication of the Company The Profile of the Dircom 

12.10. Productivity, Attraction, Retention and Activation of Talent 

12.10.1. Productivity 
12.10.2. Talent Attraction and Retention Levers 

Module 13. Economic and Financial Management 

13.1. Economic Environment 

13.1.1. Macroeconomic Environment and the National Financial System 
13.1.2. Financial Institutions 
13.1.3. Financial Markets 
13.1.4. Financial Assets 
13.1.5. Other Financial Sector Entities 

13.2. Executive Accounting 

13.2.1. Basic Concepts 
13.2.2. The Company's Assets 
13.2.3. The Company's Liabilities 
13.2.4. The Company's Net Worth 
13.2.5. The Income Statement 

13.3. Information Systems and Business Intelligence 

13.3.1. Fundamentals and Classification 
13.3.2. Cost Allocation Phases and Methods 
13.3.3. Choice of Cost Center and Impact 

13.4. Budget and Management Control 

13.4.1. The Budget Model 
13.4.2. The Capital Budget 
13.4.3. The Operating Budget 
13.4.5. Treasury Budget 
13.4.6. Budget Monitoring 

13.5. Financial Management 

13.5.1. The Company's Financial Decisions 
13.5.2. Financial Department  
13.5.3. Cash Surpluses 
13.5.4. Risks Associated with Financial Management 
13.5.5. Financial Administration Risk Management 

13.6. Financial Planning 

13.6.1. Definition of Financial Planning 
13.6.2. Actions to be Taken in Financial Planning 
13.6.3. Creation and Establishment of the Business Strategy 
13.6.4. The Cash Flow Table 
13.6.5. The Working Capital Table 

13.7. Corporate Financial Strategy 

13.7.1. Corporate Strategy and Sources of Financing 
13.7.2. Financial Products for Corporate Financing   

13.8. Strategic Financing 

13.8.1. Self-Financing 
13.8.2. Increase in Equity  
13.8.3. Hybrid Resources  
13.8.4. Financing Through Intermediaries 

13.9. Financial Analysis and Planning 

13.9.1. Analysis of the Balance Sheet 
13.9.2. Analysis of the Income Statement 
13.9.3. Profitability Analysis 

13.10. Analyzing and Solving Cases/Problems 

13.10.1. Financial Information on Industria de Diseño y Textil, S.A. (INDITEX) 

Module 14. Commercial and  Strategic Marketing Management 

14.1. Commercial Management 

14.1.1. Conceptual Framework of Commercial Management 
14.1.2. Business Strategy and Planning 
14.1.3. The Role of Sales Managers 

14.2. Marketing  

14.2.1. The Concept of Marketing 
14.2.2. Basic Elements of Marketing 
14.2.3. Marketing Activities of the Company 

14.3. Strategic Marketing Management 

14.3.1. The Concept of Strategic Marketing 
14.3.2. Concept of Strategic Marketing Planning 
14.3.3. Stages in the Process of Strategic Marketing Planning 

14.4. Digital Marketing and e-Commerce 

14.4.1. Digital Marketing and E-commerce Objectives 
14.4.2. Digital Marketing and Media Used 
14.4.3. E-Commerce General Context 
14.4.4. Categories of E-commerce 
14.4.5. Advantages and Disadvantages of E-commerce Versus Traditional Commerce 

14.5. Digital Marketing to Reinforce a Brand 

14.5.1. Online Strategies to Improve Your Brand's Reputation 
14.5.2. Branded Content and Storytelling 

14.6. Digital Marketing to Attract and Retain Customers 

14.6.1. Loyalty and Engagement Strategies through the Internet 
14.6.2. Visitor Relationship Management 
14.6.3. Hypersegmentation 

14.7. Managing Digital Campaigns 

14.7.1. What is a Digital Advertising Campaign? 
14.7.2. Steps to Launch an Online Marketing Campaign 
14.7.3. Mistakes in Digital Advertising Campaigns 

14.8. Sales Strategy 

14.8.1. Sales Strategy 
14.8.2. Sales Methods 

14.9. Corporate Communication 

14.9.1. Concept 
14.9.2. The Importance of Communication in the Organization 
14.9.3. Type of Communication in the Organization 
14.9.4. Functions of Communication in the Organization 
14.9.5. Elements of Communication 
14.9.6. Communication Problems 
14.9.7. Communication Scenarios 

14.10. Digital Communication and Reputation 

14.10.1. Online Reputation 
14.10.2. How to Measure Digital Reputation? 
14.10.3. Online Reputation Tools 
14.10.4. Online Reputation Report 
14.10.5. Online Branding 

Module 15. Executive Management 

15.1. General Management 

15.1.1. The Concept of General Management 
15.1.2. The Role of the CEO 
15.1.3. The CEO and their Responsibilities 
15.1.4. Transforming the Work of Management 

15.2. Manager Functions: Organizational Culture and Approaches 

15.2.1. Manager Functions: Organizational Culture and Approaches 

15.3. Operations Management 

15.3.1. The Importance of Management 
15.3.2. Value Chain 
15.3.3. Quality Management 

15.4. Public Speaking and Spokesperson Education 

15.4.1. Interpersonal Communication 
15.4.2. Communication Skills and Influence 
15.4.3. Communication Barriers 

15.5. Personal and Organizational  Communications Tools 

15.5.1. Interpersonal Communication 
15.5.2. Interpersonal Communication Tools 
15.5.3.  Communication in the Organization 
15.5.4. Tools in the Organization 

15.6. Communication in Crisis Situations 

15.6.1. Crisis 
15.6.2. Phases of the Crisis 
15.6.3. Messages: Contents and Moments 

15.7. Preparation of a Crisis Plan 

15.7.1. Analysis of Possible Problems 
15.7.2. Planning 
15.7.3. Adequacy of Personnel 

15.8. Emotional Intelligence 

15.8.1. Emotional Intelligence and Communication 
15.8.2.  Assertiveness, Empathy, and Active Listening 
15.8.3. Self-Esteem and Emotional Communication 

15.9. Personal Branding 

15.9.1. Strategies for Personal Brand Development 
15.9.2. Personal Branding Laws 
15.9.3. Tools for Creating Personal Brands 

15.10. Leadership and Team Management 

15.10.1. Leadership and Leadership Styles 
15.10.2. Leader Capabilities and Challenges 
15.10.3. Managing Change Processes 
15.10.4. Managing Multicultural Teams

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