IoT and 5G Integration Course in Urban Infrastructures
About our
The IoT and 5G Integration in Urban Infrastructures course explores the convergence of Internet of Things (IoT) and 5G technology to transform smart cities. It addresses the design and implementation of solutions that optimize urban management, from smart sensor networks for environmental and traffic monitoring to the deployment of high-speed communications. It focuses on the integration of IoT platforms, real-time data analytics, and network security, crucial for improving energy efficiency and urban quality of life. The program provides practical knowledge of IoT architectures, wireless communication protocols, and the use of data analytics tools. Participants will learn to develop and implement smart city solutions, considering aspects such as cybersecurity, scalability, and system interoperability. This training prepares students for professional roles in the development of IoT applications, 5G network management, and smart city planning, driving innovation in the sector.
IoT and 5G Integration Course in Urban Infrastructures
- Format: Online
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
349 $
Competencies and results
What you will learn
1. IoT and 5G Mastery: Advanced Integration in Smart Cities
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IoT and 5G Fundamentals: Exploring key architectures, protocols, and standards.
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Advanced Connectivity: Configuring and optimizing 5G networks for IoT applications.
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IoT Platforms: Analyzing and using IoT platforms for data management and analysis.
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Smart Sensors: Integrating and programming sensors for data collection in urban environments.
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Smart Cities: Designing and implementing IoT solutions to optimize urban infrastructure.
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IoT Applications in Urban Mobility: Implementing intelligent transportation systems.
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IoT and 5G Security: Assessing and mitigating security risks in IoT and 5G networks.
Big Data and Predictive Analytics: Using big data and predictive analytics tools for decision-making.
Case Studies: Analysis of successful smart city case studies and their implementations.
Future Trends: Exploring emerging trends in IoT and 5G, including edge computing.
2. IoT-5G Architecture: Transforming Urban Infrastructures
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Understand the fundamentals of IoT-5G architecture and its impact on urban infrastructure.
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Analyze IoT-5G applications in optimizing urban services: smart transportation, energy management, public safety, and the environment.
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Evaluate the technical and regulatory challenges associated with implementing IoT-5G architectures in urban environments.
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Design IoT-5G solutions for specific use cases, considering scalability, security, and energy efficiency.
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Become familiar with tools and platforms for developing and managing IoT-5G applications.
Explore the key technologies that enable IoT-5G connectivity: communication protocols, sensor networks, and data management platforms.
Understanding the role of cybersecurity in protecting connected urban infrastructures.
Analyzing the socioeconomic impact of the digital transformation driven by IoT-5G in cities.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Implementation of IoT and 5G: Smart and Connected Urban Cities
- Understand the fundamentals of the Internet of Things (IoT) and its application in urban environments.
- Analyze 5G technologies and their impact on connectivity and communication in smart cities.
- Explore different IoT architectures and platforms for data and device management.
- Study IoT and 5G applications in key areas such as transportation, energy, security, and the environment.
- Design and implement smart city solutions using sensors, networks, and data analytics.
- Evaluate the security and privacy challenges associated with the implementation of IoT and 5G in urban environments.
- Become familiar with the regulations and standards relevant to smart city implementation.
- Develop skills in data analysis and the interpretation of information generated by IoT devices.
- Learn about the use of artificial intelligence (AI) and machine learning.
Automated machine learning (ML) to optimize smart city operations.
Participate in case studies and practical projects to apply the knowledge acquired.
5. IoT and 5G: Building the Connected Urban Future
- Understand the architecture of IoT and 5G, their key components, and their communication protocols.
- Explore IoT and 5G applications in urban environments, including smart cities, intelligent transportation, and resource management.
- Analyze 5G connectivity technologies, including their speed, latency, and ability to support multiple devices.
- Evaluate the impact of IoT and 5G on data collection and analysis in urban environments.
- Identify and mitigate the security and privacy risks associated with IoT and 5G implementation.
- Design and develop IoT and 5G solutions to improve efficiency, sustainability, and quality of life in cities.
- Learn about IoT and 5G development platforms and tools, including programming languages and APIs.
- Understand the regulatory and normative aspects related to IoT and 5G implementation in urban environments.
- Analyze case studies of successful IoT and 5G implementations in cities around the world.
- Project the future of IoT and 5G in the urban context, including emerging trends and innovation opportunities.
6. Strategic Implementation of IoT and 5G in Connected Urban Environments
6. Strategic Implementation of IoT and 5G in Connected Urban Environments
- Understand the fundamentals of IoT and 5G, including their architectures, protocols, and key standards.
- Evaluate the impact of IoT and 5G on the digital transformation of cities by analyzing specific use cases.
- Design and implement IoT and 5G solutions for smart city applications, such as mobility, security, and energy efficiency.
- Analyze the technical and regulatory challenges associated with the implementation of IoT and 5G in urban environments.
- Manage data security and privacy in IoT and 5G networks.
- Develop strategies for the sustainability and scalability of IoT and 5G solutions in cities.
- Apply tools and technologies for the simulation, analysis, and optimization of IoT and 5G networks.
- Collaborate in multidisciplinary teams for the planning, design, and deployment of connected city projects.
- Evaluate the return on investment (ROI) of IoT and 5G solutions in the urban context.
- Explore future trends in IoT and 5G and their impact on the development of smart cities.
Who this program is for:
IoT and 5G Integration Course in Urban Infrastructures
- Engineers with degrees in Telecommunications, Electronics, Computer Science, or related fields.
- Professionals working in the development and deployment of Smart Cities, with a focus on smart urban infrastructure.
- Experts in IoT and 5G who wish to delve deeper into the integration of these technologies in urban environments.
- Architects and urban planners interested in connectivity and digitalization solutions for sustainable urban development.
- Smart city project managers in public and private entities.
Recommended requirements: Basic knowledge of communication networks, programming, and embedded systems. Experience in IoT and/or 5G related projects will be valued. Proficiency in ES/EN at level B2 or higher.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Introduction to IoT and 5G: Key Concepts and Benefits for Smart Cities
1.2 5G Network Architecture: Components and Operation
1.3 IoT Fundamentals: Sensors, Devices, and Platforms
1.4 IoT and 5G Integration: Challenges and Opportunities
1.5 IoT and 5G Applications in the City: Practical Examples (Mobility, Energy, Security)
1.6 Communication Technologies: Protocols and Standards for IoT
1.7 Cybersecurity in IoT and 5G: Risks and Protection Measures
1.8 Data Analysis in IoT: Collection, Processing, and Visualization
1.9 The Role of the Cloud in IoT and 5G: Data Storage and Analysis
1.10 Case Studies: Successful IoT and 5G Implementations in Smart Cities
2.2 Fundamentals of IoT-5G Architecture
2.2 Key Components of IoT-5G Architecture
2.3 Designing Low-Power Wide Area Networks (LPWANs) for IoT
2.4 Deploying 5G Networks for IoT Applications
2.5 Interoperability and Standards in IoT and 5G
2.6 Security in IoT-5G Architecture
2.7 Platforms and Tools for Developing IoT-5G Solutions
2.8 Designing Data Management Systems in Urban Environments
2.9 Integrating IoT Sensors and Devices
2.20 Scalability and Performance Considerations
3.3 IoT-5G Network Design for Smart Cities
3.2 Network Architecture and Component Selection
3.3 5G Communication Protocols and Standards
3.4 Network Coverage and Capacity Optimization
3.5 Data Management and Security in Urban Environments
3.6 IoT Application Design for Urban Services
3.7 Data Analysis and Visualization for Decision-Making
3.8 Modeling and Simulation of Connected Cities
3.9 Integration of IoT-5G Systems and Platforms
3.30 Case Studies: Best Practices in Design and Optimization
4.4 IoT Sensors: Selection and Deployment in Urban Environments
4.2 5G Networks: Design and Configuration for IoT Connectivity
4.3 IoT Platforms: Data Integration and Management
4.4 IoT Cybersecurity: Protecting Data and Connected Devices
4.5 Smart Applications: Development for Connected Cities
4.6 Data Analysis: Extracting Value from IoT-5G Information
4.7 Use Cases: Implementation in Urban Mobility, Energy, and Security
4.8 Testing and Validation: Ensuring Solution Performance
4.9 Scalability: Designing for Infrastructure Growth
4.40 Sustainability: Environmental Impact and Energy Efficiency
5.5 IoT Sensors and Devices: Fundamentals and Selection for Urban Environments.
5.5 5G Networks: Architecture, Deployment, and Security Considerations.
5.3 IoT and 5G Integration: Communication Protocols and Standards.
5.4 Data and Analytics Platforms: IoT Data Collection, Processing, and Visualization.
5.5 Connected City Modeling: Simulation and Design of Smart Infrastructures.
5.6 IoT-5G Applications: Use Cases in Urban Mobility, Resource Management, and Public Services.
5.7 Cybersecurity in Connected Cities: Data and System Protection.
5.8 Sustainability and Energy Efficiency: Resource Optimization through IoT and 5G.
5.9 Regulatory Framework and Policies: Compliance and Challenges in Smart City Implementation. 5.50 Future of Connected Cities: Trends, Innovation and Social Impact.
6.6 Strategic Planning and Needs Assessment in Connected Cities
6.2 Selection of Appropriate IoT and 5G Technologies for Urban Environments
6.3 Design of IoT/5G Network Architectures for Optimal Urban Coverage
6.4 Implementation of IoT Platforms and Sensors for Data Collection
6.5 Integration of 5G for High-Speed, Low-Latency Connectivity
6.6 Security and Cybersecurity Considerations in Connected Environments
6.7 Data Management and Analysis for Intelligent Decision-Making
6.8 Implementation of Applications and Services in Smart Cities
6.9 Scalability and Maintenance of Urban IoT/5G Infrastructure
6.60 Impact and Sustainability Assessment of Implementations
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).