A high-quality Professional master’s degree that will allow you to intervene in all the aspects of Intelligent Infrastructure, such as working with data, or the study of adaptability"

In recent years there has been an explosion of government, business and research initiatives that have materialized in an exponential growth of proposals, plans, projects, good practices, models, standards, measurement systems, and other initiatives in the field of smart cities and smart nations.

And this is just the beginning, as the world's cities are facing unprecedented growth that challenges the current development model, making it essential to adopt technological measures to manage this growth and provide adequate services to its citizens. This need is also reflected in the United Nations 2030 Agenda, through its 17 Sustainable Development Goals.

Faced with this reality, cities are driven to maximize their efficiency and to reliably reflect their status in the different categories of the 2030 Agenda, i.e. to become "smart cities".

It is in the field of Smart Cities where new digital platforms, and their underlying technologies such as IoT, Big Data and Artificial Intelligence, have found an unbeatable framework to prove their efficiency and effectiveness in managing complex models.

Therefore, this sector is emerging as one of the fields with the brightest professional future, where it is estimated that in Europe alone more than 1 million jobs will be created by 2025 and almost 1.5 million by 2030. As such, understanding the characteristics and nature of digital transformation projects in cities presents an unbeatable opportunity to open new employment horizons, but this demands the skills and capabilities needed to make a difference in the professional arena and stand out among the best.

To achieve this goal, TECH offers a cutting-edge update adapted to the latest developments in this field, with an up-to-date syllabus and carried out by experienced professionals willing to make all their knowledge available to their students. As it is a 100% online Professional master’s degree, students will not be constrained by fixed schedules or the need to commute to another physical location, rather, they can access the contents at any time of the day, balancing their work or personal life with their studies.

Completing this Professional master’s degree will place engineering and architecture professionals at the forefront of the latest developments in the Smart Cities sector"

This Professional master’s degree in Intelligent Infrastructure. Smart Cities 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 Intelligent Infrastructure
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the 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 in Intelligent Infrastructure
• 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

With the most efficient study systems in the online teaching environment, this Professional master’s degree will allow you to learn at your own pace without sacrificing efficiency or scope in your learning"

Its teaching staff includes professionals from the fields of engineering and architecture, who contribute their work 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 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 academic year. For this, the professional will have the help of an innovative, interactive video system made by recognized and experienced experts in the field of Intelligent Infrastructure. 

Quality educational material that will allow you to advance in terms of updating your knowledge with the support of the most up-to-date and comprehensive materials"

This 100% online Professional master’s degree will allow you to balance your studies with your professional work. You choose where and when to study"

The content of the Professional master’s degree covers in a structured way, all the fields of knowledge that the professional needs to know in depth, including the most interesting news and updates in the sector. A high quality academic experience that allows students to compete with solvency and sufficient capacity in creating and developing Smart City systems. 

We have the most complete and up-to-date study program on the market. We strive for excellence and for you to achieve it too"

Module 1. The Smart Cities Paradigm

1.1. The Smart City

1.1.1. Evolution of Smart Cities
1.1.2. Global Changes and New Challenges

1.2. Digital Platforms

1.2.1. Big Data and IoT
1.2.2. Origin, Present and Future of Platforms

1.3. Use Cases of Digital Platforms

1.3.1. Niche Platform
1.3.2. Platform of Platforms

1.4. Smart Cities: A Digital Platform Use Case

1.4.1. New Challenges in the Cities of the 21st Century. The Functional City
1.4.2. Technology as an Essential Part of the Solution to the Challenges

1.5. The Citizen at the center of the Smart City

1.5.1. Objective of Smart Cities
1.5.2. Smart Cities at the Service of the Citizen

1.6. From Data to Information and from Information to Knowledge

1.6.1. The City: The Largest Data Repository
1.6.2. Smart Cities as a Tool for Information Exploitation

1.7. Smart Cities, an Example of Global Work

1.7.1. Cities: a Complex Environment with Many Actors
1.7.2. Shared Management Model in the Cities

1.8. From Smart Cities to Smart Nations

1.8.1. Territorial Challenges
1.8.2. Solution to the Challenges of the Territory

1.9. From Smart Cities to the Smart Campus

1.9.1. Campus Challenges
1.9.2. Solution to the Campus Challenges

1.10. Smart Cities in the World

1.10.1. Technological Maturity
1.10.2. Geography of Smart City Projects

Module 2. Smart City Construction Models

2.1. Different Models to Build a Smart City

2.1.1. Different Smart City Models
2.1.2. Greenfield y Brownfield

2.2. Smart City Strategy

2.2.1. Master Plans
2.2.2. Monitoring and Implementation: Indicators

2.3. Models Based on IoT Collections and Vertical Solutions

2.3.1. Models Based on IoT Collections
2.3.2. Models Based on Vertical Solutions

2.4. Models Based on GIS Systems

2.4.1. Spatial Data and GIS Tools for the Management and Analysis of Geographical Information
2.4.2. Geospatial Analysis

2.5. Models Based on VMS

2.5.1. Main Features of VMS Systems
2.5.2. VMS Systems for Traffic Control, Mobility and Urban Safety

2.6. Models Based on Integration Platforms

2.6.1. The Value of an Integrating Vision
2.6.2. City Semantics

2.7. Platform Features and Rules

2.7.1. Features of Smart Cities Platforms
2.7.2. Normalization, Standardization and Interoperability

2.8. Security in Smart City Platforms

2.8.1. Cities and Critical Infrastructure
2.8.2. Security and Data

2.9. Open Source and Licensing

2.9.1. Open Source or Licensed Platforms
2.9.2. Solutions and Services Ecosystems

2.10. Smart Cities as a Service or as a Project

2.10.1. The Comprehensive Smart City Project: Consultancy, Products and Technical Office
2.10.2. Smart Services as a Lever for Growth

Module 3. Smart City Platforms: General Architecture and Acquisition Layer

3.1. The General Platform Model

3.1.1. Platform Layer Model
3.1.2. Reference Standards and Recommendations Applicable at the International Level

3.2. Architecture

3.2.1. Platform Architecture
3.2.2. Block Description

3.3. Enabling Tools

3.3.1. Communication Networks
3.3.2. Cloud Computing and Edge Computing

3.4. Support Layer

3.4.1. Support Layer Services
3.4.2. Configuration Services
3.4.3. User Management Services
3.4.4. Supervision and Maintenance Services
3.4.5. Security Services

3.5. Acquisition Layer

3.5.1. Acquisition Layer Purpose
3.5.2. Integration of the Acquisition Layer within the Model
3.5.3. Acquisition Layer Main Features

3.6. Technologies Used for Acquisition

3.6.1. Main Data Acquisition Technologies
3.6.2. Use of Acquisition Technologies

3.7. IoT Data Acquisition

3.7.1. IoT Data
3.7.2. Device Data Integration
3.7.3. Data Integration from IoT Platforms
3.7.4. Digital Twin in IoT Management

3.8. Data Acquisition from Existing Systems

3.8.1. Integration of Existing Systems
3.8.2. The Smart City Platform as a Platform of Platforms
3.8.3. Platform Data Integration

3.9. Repository Data Acquisition

3.9.1. Information in Databases
3.9.2. Data Integration from Databases
3.9.3. How to Manage Information Duplicity

3.10. Unstructured Data Acquisition

3.10.1. Unstructured Data
3.10.2. Sources of Unstructured Information
3.10.3. Unstructured Information Acquisition

Module 4. Smart City Platforms: Knowledge Layer and Interoperability Layer

4.1. Knowledge Layer

4.1.1. Knowledge Layer Purpose
4.1.2. Integration of the Knowledge Layer within the Model
4.1.3. Knowledge Layer Main Features

4.2. Data Modeling

4.2.1. Data Modeling
4.2.2. Data Modeling Technologies and Strategies

4.3. Rule-Based and Process-Based Processing

4.3.1. Rule-Based Modeling
4.3.2. Process-Based Modeling (PBM)

4.4. Processing Big Data

4.4.1. Big Data
4.4.2. Descriptive, Predictive and Prescriptive Analytics
4.4.3. Artificial Intelligence and Machine Learning in Cities

4.5. Analytical Collaboration Tools

4.5.1. Integration of Collaborative Data Analytics Tools
4.5.2. Main Collaborative Tools
4.5.3. Benefits of Using Collaborative Analytics Tools

4.6. Data Bases

4.6.1. The Different Databases and their Application
4.6.2. Relational Databases
4.6.3. Non-Relational Databases
4.6.4. GIS Databases

4.7. Interoperability Layer

4.7.1. Interoperability Layer Purpose
4.7.2. Integration of the Interoperability Layer within the Model
4.7.3. Interoperability Layer Main Features

4.8. Graphical Data Display Tools

4.8.1. The Importance of Data Presentation
4.8.2. Integrated Graphics Tools vs. External Tools

4.9. Integration-Enabling Tools

4.9.1. Simple and Reliable Data Exposure
4.9.2. API Managers

4.10. SDK-Based Development Tools

4.10.1. Software Development Tools
4.10.2. SDK Sandboxes

Module 5. The Smart City and Digital Government

5.1. Difference between Digital Government and Smart City

5.1.1. Digital Government
5.1.2. Main Difference between Digital Government and Smart City
5.1.3. The Integration of Digital Government in the Smart City

5.2. Classic Digital Government Solutions

5.2.1. Accounting Solutions
5.2.2. Tax and Collection Solutions
5.2.3. Document Management Solutions
5.2.4. Population Management Solutions
5.2.5. Records Management Solutions

5.3. Asset Management in the City

5.3.1. The Asset Management System
5.3.2. Importance of Asset Management in the City

5.4. The Electronic Headquarters

5.4.1. The Electronic Headquarters
5.4.2. Citizen's Folder

5.5. Integration of the Elements of Digital Government in Smart Cities

5.5.1. Objective of Digital Government Integration. Smart City
5.5.2. Difficulties in Integration
5.5.3. Steps to Consider in Integration

5.6. The Smart City as a Tool for Improving Digital Government Processes

5.6.1. Ease of Integration of New Services
5.6.2. Optimization of Management Processes
5.6.3. Improving Internal Knowledge

5.7. Services 4.0

5.7.1. Services 4.0
5.7.2. Citizen Participation Systems

5.8. Knowledge Management 

5.8.1. Big Data Technology at the Service of City Data
5.8.2. The Transparency Portal
5.8.3. The City Scorecard

5.9. Analytical Systems

5.9.1. City Data Analytics on a New Level
5.9.2. Fraud Detection Systems

5.10. Customer Relationship Management (CRM)

5.10.1. Citizen CRM
5.10.2. New Citizen Service Systems

Module 6. Vertical Solutions for Urban Services Management

6.1. Importance of Municipal Areas

6.1.1. Organizational Model of Cities and Municipalities
6.1.2. Coordination and Management of Municipal Areas

6.2. Waste Management

6.2.1. Challenges to be Solved in Waste Management
6.2.2. Technologies Involved in its Resolution

6.3. Environmental and Air Quality Management

6.3.1. Challenges to be Solved in Environmental Management
6.3.2. Air Quality
6.3.3. Proactive Citizen Communication Alerts

6.4. Urban Traffic Control

6.4.1. Challenges to be Solved in Urban Traffic Control
6.4.2. Technologies Involved in its Resolution

6.5. Parking Management

6.5.1. Challenges to be Solved in Parking Management
6.5.2. Technologies Involved in its Resolution

6.6. Public Mobility Management

6.6.1. Challenges to be Solved in Public Mobility
6.6.2. Technologies Involved in its Resolution

6.7. Security and Emergencies Area

6.7.1. Challenges to be Solved in Security and Emergencies Management
6.7.2. Technologies Involved in its Resolution

6.8. Energy Management Area

6.8.1. Challenges to be Solved in Energy Management
6.8.2. Street Lighting

6.9. Parks and Gardens Management Area

6.9.1. Challenges to be Solved in Parks and Gardens Management
6.9.2. Technologies Involved in its Resolution

6.10. Water Consumption Management

6.10.1. Challenges to be Solved in Water Consumption Management
6.10.2. Monitoring of Water Supply and Sanitation Network

Module 7. Transversal Smart City Solutions

7.1. Transversal Solutions

7.1.1. Importance of Cross-Cutting Solutions
7.1.2. Smart Cities as a Guarantor of the Operation of Transversal Solutions

7.2. Citizen Card Solutions

7.2.1. Citizen Card
7.2.2. Solutions for the Integration of the Citizen Card in City Services

7.3. Internal and External City Objects

7.3.1. Internal City Objects
7.3.2. External City Objects
7.3.3. Integration of the Information of City Objects in the Smart City

7.4. Citizen Mobility Solutions

7.4.1. Mobility Beyond Private and Public Transportation
7.4.2. Mobility Management in the Smart City

7.5. New Urban Planning Systems

7.5.1. Functional Centrality Index
7.5.2. Analysis of Vulnerabilities and Strengths
7.5.3. Integration of Planning Systems in the Smart City

7.6. Inclusive Social Policy Planning

7.6.1. Complexity of Social Policies
7.6.2. The Use of Data for the Articulation of Social Policies
7.6.3. The Use of the Smart City for the Application of Social Policies

7.7. Empowering Innovation and the Local Ecosystem

7.7.1. The City Lab
7.7.2. The Creation of a Diverse Innovation Network
7.7.3. University-Business Collaboration

7.8. Open Data Portals and Marketplaces

7.8.1. Data Portals and their Importance in the Creation of the City Ecosystem
7.8.2. Open Data Portals
7.8.3. Marketplaces

7.9. The Citizen Portal and Citizen PPPs

7.9.1. Citizen Access to City Metrics
7.9.2. Citizen Portal Features
7.9.3. Features of the Citizen PPP

7.10. IOC: Holistic City Management

7.10.1. Holistic City Management Systems
7.10.2. Real-Time Operation and Supervision
7.10.3. Operation and Supervision in the Medium and Long Term

Module 8. From Smart City to Smart Nation

8.1. The Smart Nation

8.1.1. The National Challenge
8.1.2. The Main Axes of the Nation

8.2. Urban Vertical Services in the Nation

8.2.2. The Multi-Entity Platform Model
8.2.3. Main Vertical Services

8.3. Intelligent Tourist Destinations

8.3.1. Value Proposition
8.3.2. Smart Tourism Destination Strategy
8.3.3. Solutions and Use Cases

8.4. Agri-Food Intelligence Platform

8.4.1. The Challenge and the Role of Public Administrations
8.4.2. Solutions and Use Cases

8.5. Recurrent On-Site Services in Homes

8.5.1. Digital Welfare Home
8.5.2. Senior Contextualization, Digital Interaction and On-Site Action

8.6. Entrepreneurship, New Business Models and Economic Sustainability

8.6.1. The Value of Open Data in the Nation
8.6.2. Digital Innovation Hubs

8.7. Spatial Distribution of the Population in the Nation

8.7.1. Study Variables: Mobility, Economic Activity, and Census
8.7.2. Big Data Technology for Population Analysis of the Nation

8.8. The National Resilience Model

8.8.1. National Resilience Strategy
8.8.2. Main Solutions and Use Cases for Resilience

8.9. Intelligent Management of Adverse Weather Phenomena

8.9.1. Automatic Anticipation, Prevention and Preparedness Techniques
8.9.2. Specific Applications

8.10. Climate Change, Sustainability and Management of Natural Areas

8.10.1. The Climate Change Challenge
8.10.2. Solutions for CO2 Emission Mitigation
8.10.3. National Vulnerability Reduction Solutions

Module 9. Smart City Projects

9.1. The Public Sector in Different Countries

9.1.1. Public Sector Particularities
9.1.2. Working with the Public Sector

9.2. Relevant Actors in Cities

9.2.1. The Managing Entity and the Indicators
9.2.2. The Digital Transformation of Contractors and Service Providers

9.3. Cooperation Between the Public and Private Sectors

9.3.1. From the Traditional Model to the PPP Model
9.3.2. Project Collaboration Stages

9.4. Sources of Funding for Smart City Projects

9.4.1. Cities’ Own Sources of Funding
9.4.2. Sources of External Funding
9.4.3. Self-Funded Projects

9.5. Pre-Project Execution Stage

9.5.1. Collaborative Work Tools
9.5.2. Co-Creation and Design Thinking

9.6. Project Execution Stage

9.6.1. Global Governance Model
9.6.2. Attributions and Success Factors in Governance: Public Part
9.6.3. Attributions and Success Factors in Governance: Private Part

9.7. Post-Project Execution Stage

9.7.1. Smart City Project Maintenance Model
9.7.2. Technical Operations Office

9.8. Complexity in Smart City Projects

9.8.1. The Search for a Purpose
9.8.2. IT Leadership
9.8.3. Financing

9.9. Success Factors in Smart Cities

9.9.1. Leadership
9.9.2. Citizen at the Center
9.9.3. The Team
9.9.4. The Results
9.9.5. Partner Strategy

9.10. The MVP as an Element of Progress

9.10.1. Minimum Viable Product
9.10.2. From MVP to MVS The Future of Smart Cities

Module 10. The Future of Smart Cities

10.1. The Digital Transformation of Citizen Services

10.1.1. A Three-Layer Structured Model
10.1.2. General Drivers, Technological Initiatives and Challenges

10.2. Data as Leverage

10.2.1. The Data Strategy
10.2.2. Governance Model

10.3. Cybersecurity

10.3.1. Network and Device Security
10.3.2. Data Security and Privacy

10.4. Global Platform and Sector Platforms

10.4.1. Solutions Ecosystem
10.4.2. The Value of Use Cases

10.5. Mobility in the Future of Cities

10.5.1. The MaaS
10.5.2. Case Uses

10.6. More Sustainable Cities

10.6.1. The Impact of Cities on the Environment
10.6.2. Solutions

10.7. New Technologies for Interaction with the City

10.7.1. New Technologies for City Management
10.7.2. New Technologies for the Citizen

10.8. Flexibility and Resilience of Smart Cities

10.8.1. Adaptation and Resilience in Smart Cities
10.8.2. Example of Adaptation of Cities to New Situations: COVID19

10.9. City Modeling

10.9.1. The City's Digital Twin
10.9.2. The Improvement, Redesign and Creation of New Cities

10.10. Smart Cities and the Digital 2030 Agenda

10.10.1. Sustainable Development Goals and Smart Cities
10.10.2. City Suitability Tools for the SDGs

A comprehensive and multidisciplinary educational program that will allow you to excel in your career, following the latest advances in the field of Intelligent Infrastructure. Smart Cities "