Urban Digital Twins Course for City Planning
About our
The Urban Digital Twins for City Planning Course explores the creation and use of 3D virtual models of urban environments for smart urban planning, geospatial data analysis and urban scenario simulation. It focuses on the development of digital twins by integrating information from GIS, IoT, and other data sources to optimize urban design, resource management, and decision-making, addressing challenges such as urban mobility, energy efficiency, and climate resilience. The course offers hands-on experience in using 3D modeling, data analysis, and visualization platforms and tools, including the use of artificial intelligence for predictive simulation. The training prepares participants for roles such as digital urban planners, urban data analysts, smart city specialists, and digital twin project managers, driving digital transformation in the cities sector.
Urban Digital Twins Course for City Planning
- Format: Online
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
275 $
Competencies and results
What you will learn
1. Creation and Management of Urban Digital Twins for Smart Planning
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Introduction to Urban Digital Twins: Concepts, Scope, and Applications.
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Fundamentals of Smart Planning: Smart Cities, Open Data, and Urban Modeling.
- Collection and Management of Urban Data: Data Sources, IoT Sensors, Geographic Information Systems (GIS).
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3D Modeling and Digital Representation of Cities: Modeling, Texturing, and Advanced Visualization Software.
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Data Integration in the Digital Twin: Real-Time Data Connection, Information Analysis, and Visualization.
- Simulation and Analysis of Urban Scenarios: Modeling of Traffic, Energy, and Water Resources.
Urban Planning Optimization: Sustainable City Design, Environmental and Social Impact Analysis.
Implementation of Digital Twins for Decision-Making: Urban Management Platforms, Integration with Geographic Information Systems.
Case Studies and Practical Applications: Implementation Examples in Real Cities.
Challenges and Future Trends in Urban Digital Twins: Artificial Intelligence, Machine Learning, and the Future of Cities.
2. Deep Mastery of Urban Digital Twins: Design and Strategy for Cities of the Future
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Fundamentals and Architecture of Urban Digital Twins:
- Key concepts and principles of digital twins.
- Structure and essential components of an urban digital twin.
- Data integration: sources, types, and information flows.
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3D Modeling and City Representation:
- Advanced 3D modeling techniques for urban environments.
- Creating accurate and detailed geospatial models.
- Integrating BIM (Building Information Modeling) and GIS (Geographic Information System) models.
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Smart Sensors and Real-Time Data Collection:
- Implementing IoT (Internet of Things) sensors for the Data collection.
Types of urban sensors: environmental, traffic, infrastructure, etc.
Real-time data management and processing: analysis and visualization.
Simulation and Analysis of Urban Scenarios:
Simulation of traffic flows, public transport, and urban logistics.
- Application of digital twins for urban infrastructure design.
- Data-driven urban planning and scenario simulation.
- Assessment of urban resilience to natural disasters and climate change.
- Monitoring and control of urban quality of life.
- Efficient resource management: water, energy, waste.
- Development of smart urban services for citizens.
- Data protection and privacy in urban environments.
- Risk management and cybersecurity in digital twin systems.
- Compliance of relevant regulations and standards.
Modeling and simulation of energy efficiency and sustainability.
Environmental impact analysis and resource management.
Artificial Intelligence and Machine Learning in Digital Twins:
Application of AI and ML for urban decision optimization.
Prediction of urban events and patterns.
Automation of processes and data-driven decision-making.
Urban Design and Planning Strategies:
Smart City Optimization and Management:
Security and Cybersecurity in Urban Digital Twins:
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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. Optimizing Urban Planning through Digital Twins: Strategies and Applications
- Understand the fundamentals of digital twins and their application in urban planning.
- Identify the key components of a digital twin for simulating urban environments.
- Evaluate and select relevant data for creating and calibrating urban digital twins.
- Apply 3D modeling and simulation techniques to replicate urban infrastructure.
- Use analytical tools to predict and optimize the performance of urban planning.
- Explore strategies for managing and updating digital twins over time.
- Analyze the impact of different urban scenarios using digital twins.
- Design and implement solutions to improve energy efficiency and urban sustainability.
- Evaluate the use of digital twins in traffic management and urban mobility.
- Understand the applications of digital twins in emergency response and resilience.
urban.
5. Implementation of Urban Digital Twins: Transforming Urban Planning and Design
- Understand the fundamentals of Urban Digital Twins and their impact on planning and design.
- Explore the key tools and technologies for creating and managing Urban Digital Twins.
- Learn how to collect and process geospatial, urban, and infrastructure data.
- Develop realistic and dynamic 3D models of urban environments.
- Simulate the performance of urban systems, such as transportation, energy, and water.
- Analyze and visualize complex data for informed decision-making.
- Apply Urban Digital Twins for urban design optimization and resource management.
- Use Urban Digital Twins for scenario simulation and risk assessment.
- Collaborate and communicate effectively using Urban Digital Twins.
- Integrate Urban Digital Twins with other smart technologies and data platforms.
6. Analysis and Simulation of Urban Digital Twins: Data-Driven Urban Planning
6. Analysis and Simulation of Urban Digital Twins: Data-Driven Urban Planning
- Understand the fundamentals of urban digital twins and their application in planning.
- Learn to collect, integrate, and analyze urban data from various sources (sensors, databases, etc.).
- Develop urban simulation models to assess the impact of different planning scenarios and decisions.
- Use specialized software tools for the creation and management of urban digital twins.
- Apply data analysis and visualization techniques to extract valuable information and make informed decisions.
- Explore real-world case studies and practical examples of urban digital twins in action.
- Evaluate the benefits and challenges of implementing digital twins in urban planning.
- Become familiar with the latest trends and developments in the field of digital twins.
urban.
Who this program is for:
Urban Digital Twins Course for City Planning
- Urban planning professionals, architects, and urban planners.
- Civil, transportation, environmental, and related engineers.
- Public officials and decision-makers in local and regional governments.
- Researchers and academics interested in urban modeling and simulation.
- 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 Definition and Fundamental Concepts of Urban Digital Twins
1.2 Key Components of an Urban Digital Twin: Data, Models, and Simulation
1.3 Initial Applications of Urban Digital Twins: Urban Planning and Resource Management
1.4 Benefits and Advantages of Implementing Urban Digital Twins
1.5 Enabling Technologies: IoT, Sensors, Big Data, and Point Clouds
1.6 Case Studies: Global Implementation Examples
1.7 Challenges and Barriers to the Adoption of Urban Digital Twins
1.8 Fundamentals of 3D Visualization and Geographic Modeling
1.9 The Future of Urban Digital Twins: Trends and Opportunities
1.10 Introduction to Smart Planning and Cities of the Future
2.2 Fundamentals of Urban Digital Twin Design: Principles and Conceptualization
2.2 Data Collection and Management for Urban Digital Twins
2.3 Advanced 3D Modeling for Urban Environments
2.4 Integration of Geographic Information Systems (GIS) in Digital Twins
2.5 Simulation and Analysis of Complex Urban Scenarios
2.6 Visualization and Communication Strategies for Digital Twins
2.7 User Interface (UI) and User Experience (UX) Design for Digital Twins
2.8 Integration of Real-Time Data and Sensors in Digital Twins
2.9 Implementation of Digital Twins for Strategic Urban Planning
2.20 Case Studies: Practical Applications and Future Trends
3.3 Comprehensive Urban Planning: Foundations and Methodologies
3.2 Collection and Analysis of Urban Data: Sources and Techniques
3.3 3D Modeling and Visual Representation of the City
3.4 Integration of Geographic Information Systems (GIS)
3.5 Simulation of Urban Scenarios: Impact and Analysis
3.6 User Experience (UX) Design in Digital Twins
3.7 Collaboration and Communication Tools in Urban Projects
3.8 Sustainability and Energy Efficiency in Urban Design
3.9 Legal and Ethical Aspects of Digital Urban Planning
3.30 Case Study: Successful Applications of Urban Digital Twins
4.4 Modeling and simulation of urban traffic flows
4.2 Analysis of geospatial and urban data
4.3 Integration of 3D models and real-time data
4.4 Optimization of urban mobility: public and private transport
4.5 Design of smart urban infrastructure
4.6 Simulations of urban scenarios and impact analysis
4.7 Management of urban resources: energy, water, and waste
4.8 Applications of digital twins in sustainable urban planning
4.9 Assessment of urban resilience to climate events and disasters
4.40 Case studies: implementation of digital twins in real cities
5.5 Introduction to Rotary Propulsion
5.5 Rotor Aerodynamics and Airfoils
5.3 Blade Design and Material Selection
5.4 Performance and Efficiency Analysis
5.5 CFD Modeling of Rotors
5.6 Flight Simulation and Stability
5.7 Noise and Vibration Reduction
5.8 Rotor Control and Automation
5.9 Systems Integration and Optimization
5.50 Case Studies and Practical Applications
5.5 Basic Concepts of Urban Digital Twins
5.5 Collection and Management of Urban Data
5.3 Platforms and Tools for Creating Digital Twins
5.4 3D Modeling of Urban Infrastructure
5.5 Integration of Geospatial and Sensor Data
5.6 Analysis and Visualization of Data in Digital Twins 5.7 Digital Twin Lifecycle Management
5.8 Cybersecurity and Data Protection
5.9 Practical Applications: Smart City Planning
5.50 Case Studies and Best Practices
3.5 Designing Urban Digital Twins: Methodology
3.5 Urban Modeling and Simulation Strategies
3.3 User Interface and Experience Design
3.4 Integrating Geographic Information Systems (GIS)
3.5 Data Analysis and Visualization Strategies
3.6 Designing Scenarios and Predictive Simulations
3.7 Collaboration and Citizen Participation Strategies
3.8 Designing for Scalability and Interoperability
3.9 Monetization and Sustainability Strategies
3.50 Case Studies and Success Stories
4.5 Optimizing Urban Design with Digital Twins
4.5 Urban Traffic and Mobility Analysis 4.3 Optimization of transport infrastructure.
4.4 Energy planning and environmental sustainability.
4.5 Optimization of waste and resource management.
4.6 Optimization of urban security and resilience.
4.7 Optimization of quality of life and citizen well-being.
4.8 Simulation strategies and predictive analytics.
4.9 Performance metrics and impact assessment.
4.50 Case studies and advanced applications.
5.5 Selection of platforms and technologies for implementation.
5.5 Integration of existing data and systems.
5.3 Implementation of 3D models and visualization.
5.4 Development of user interfaces and interactions.
5.5 Integration of sensors and IoT devices.
5.6 Implementation of data analytics systems.
5.7 Implementation of simulations and scenarios.
5.8 Change management and user adoption. 5.9 Communication and Dissemination Strategies
5.50 Case Studies and Implementation Examples
6.5 Data Analysis in Urban Digital Twins
6.5 Simulation of Complex Urban Scenarios
6.3 Risk and Vulnerability Analysis
6.4 Simulation of the Impact of Policies and Decisions
6.5 Mobility and People Flow Analysis
6.6 Simulation of Energy Consumption and Emissions
6.7 Environmental Impact and Sustainability Analysis
6.8 Visualization and Communication of Results
6.9 Data-Driven Decision Making
6.50 Case Studies and Specific Applications
7.5 Defining the Objectives and Scope of Urban Planning
7.5 Identifying Stakeholders and Their Needs
7.3 Selecting Tools and Methodologies
7.4 Integrating Data and Information Sources
7.5 Modeling and Simulating Urban Scenarios 7.6 Impact analysis and evaluation of alternatives.
7.7 Citizen participation and public consultation.
7.8 Communication of results and decision-making.
7.9 Monitoring and evaluation of implementation.
7.50 Case studies and examples of effective urban planning.
6.6 Introduction to Data-Driven Urban Planning
6.2 Fundamentals of Simulation in the Urban Context
6.3 Collection and Analysis of Urban Data
6.4 Modeling and Simulation of Urban Scenarios
6.5 Tools and Software for Urban Simulation
6.6 Impact of Decisions on Urban Design
6.7 Evaluation of Results and Decision-Making
6.8 Case Studies: Practical Applications
6.9 Integration of Data and Simulation in the Planning Process
6.60 Challenges and Future of Data-Driven Urban Planning
- 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”).