Course on the Future of Autonomous Urban Mobility
About our
The Future of Autonomous Urban Mobility course explores emerging technologies that are transforming urban transport, including autonomous vehicles, delivery drones, and intelligent traffic management systems. It analyzes the impact of these innovations on areas such as sustainability, efficiency, and accessibility, considering aspects such as regulation, infrastructure, and road safety. It focuses on the application of artificial intelligence, Internet of Things (IoT), and systems simulation concepts to design and evaluate future urban mobility solutions, preparing for the challenges and opportunities of this constantly evolving industry. The course provides a comprehensive overview of urban planning, route design, and the integration of autonomous vehicles within a multimodal transportation ecosystem, taking into account the needs of smart cities and reducing the carbon footprint. The use of big data and predictive analytics is explored to optimize traffic flow and improve the user experience. This training prepares professionals to lead in roles such as mobility planners, intelligent transport engineers, traffic data analysts, and sustainable mobility consultants, driving the development of more efficient and livable cities.
Course on the Future of Autonomous Urban Mobility
- Format: Online
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
399 $
Competencies and results
What you will learn
1. Mastery of the Design and Operation of Autonomous Urban Mobility Systems
- Develop design strategies for the architecture of urban autonomous vehicles, considering factors of energy efficiency, safety, and space optimization.
- Understand the fundamental principles of autonomous navigation, including global positioning systems (GPS, GNSS), sensors (LiDAR, radar, cameras), and environmental perception algorithms.
- Apply artificial intelligence and machine learning techniques for the development of decision-making systems in autonomous vehicles, including route planning, obstacle avoidance, and traffic control.
- Analyze current regulations and standards in the field of urban autonomous mobility, as well as the ethical and social implications of their implementation.
- Master the tools and methodologies for the simulation and analysis of autonomous mobility systems, including urban scenario modeling and performance evaluation.
- Design fleet management systems and shared transportation platforms to optimize the efficiency and sustainability of autonomous mobility.
urban.
2. Analysis and Optimization of Propulsion in Autonomous Urban Vehicles
- Understand the principles of propulsion in autonomous urban vehicles.
- Study the different propulsion system configurations, including propellers, rotors, and thrust vectoring systems.
- Analyze the factors that influence propulsion efficiency and performance.
- Identify and evaluate the sources of noise, vibration, and emissions associated with propulsion.
- Apply simulation and analysis tools to optimize the design of propulsion systems.
- Analyze flap-lag-torsion couplings, whirl flutter, and fatigue.
- Dimension laminates in composites, joints, and bonded joints with FE.
- Implement damage tolerance and NDT (UT/RT/thermography).
- Explore the latest propulsion technologies, such as electric motors, batteries, and energy management systems.
- To evaluate the impact of propulsion on the safety, sustainability, and economic viability of urban autonomous vehicles.
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. Improvement of the Design and Performance of Propulsion Systems in Autonomous Urban Mobility
4. Refinement of the Design and Performance of Propellers in Autonomous Urban Mobility
Understand and master the principles of advanced aerodynamics applied to urban mobility propellers.
Analyze the interaction phenomena between blades and complex flows.
Study the influence of design parameters on propulsive efficiency and noise generation.
Explore the selection of materials and manufacturing processes for high-performance propellers.
Evaluate the structural behavior of propellers under dynamic loads and extreme environmental conditions.
Apply optimization techniques to improve propeller design, considering aspects such as weight, efficiency, and cost.
Develop advanced numerical models to simulate propeller performance using specialized software.
Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
5. Optimization of Rotor Modeling and Performance for Autonomous Urban Mobility
- Design and aerodynamically evaluate high-efficiency rotors for urban aerial vehicles (UAMs).
- Apply advanced CFD (Computational Fluid Dynamics) modeling techniques to simulate airflow around rotors.
- Optimize rotor blade geometry to minimize noise and maximize performance under different flight conditions.
- Understand the principles of computational fluid dynamics (CFD) and its application to rotor design.
- Study structural analysis techniques, including finite element analysis (FEA), to ensure the structural integrity of rotors.
- Evaluate the dynamic response of rotors, including vibration analysis and stability.
- Become familiar with composite materials and their properties, as well as their use in rotor construction.
- Explore rotor manufacturing techniques, including the process of lamination and curing of composite materials.
Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
Dimension laminates in composites, joints, and bonded joints with FE.
Implement damage tolerance and NDT (UT/RT/thermography).
Learn about flight control systems and their application in urban aerial vehicles (UAMs).
Understand the regulations and standards related to the design and certification of urban aerial vehicles (UAMs).
Develop problem-solving and decision-making skills in rotor design.
Use specialized software for modeling, simulation, and analysis of rotors.
6. Analysis and Optimization of Rotor Modeling in Autonomous Urban Mobility
6. Analysis and Optimization of Rotor Modeling in Autonomous Urban Mobility
- Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
- Dimension laminates in composites, joints, and bonded joints with FE.
- Implement damage tolerance and NDT (UT/RT/thermography).
Who this program is for:
Course on the Future of Autonomous Urban Mobility
- Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Professionals in OEM rotorcraft/eVTOL, MRO, consulting, and technology centers.
- Flight Testing, certification, avionics, control, and dynamics seeking specialization.
- Regulators/authorities and UAM/eVTOL professionals requiring compliance skills.
Recommended requirements: foundation in aerodynamics and control and structures; ES/EN B2+/C1. We offer bridging tracks if you need them.
- 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.
2.1 Principles of Propulsion and Fluid Physics Applied to Autonomous Urban Vehicles
2.2 Modeling Propulsion Systems: Equations and Simulation
2.3 Performance Analysis: Thrust, Power, and Efficiency
2.4 Selection and Sizing of Motors and Propellers
2.5 Aerodynamic Optimization: Drag and Noise Reduction
2.6 Energy Management and Control Strategies
2.7 Integration of Propulsion Systems into Vehicle Design
2.8 Failure Analysis and Reliability of Propulsion Systems
2.9 Case Studies: Practical Optimization Examples
2.10 Performance Evaluation Metrics
3.1 Introduction to Computational Fluid Dynamics (CFD)
3.2 Propeller Modeling: Theory and Practice
3.3 Simulation Setup: Meshing, Boundary Conditions
3.4 Results Analysis: Performance, Cavitation, Noise
3.5 Validation of Results: Comparison with Experimental Data
3.6 Simulation of different propeller designs
3.7 Propeller design optimization through simulation
3.8 Simulation tools and software
3.9 Case studies: evaluation of existing propellers
3.10 Reporting and presentation of results
4.1 Advanced propeller design concepts
4.2 Material selection and manufacturing processes
4.3 Blade design: airfoil, shape, and torsion
4.4 Structural analysis: strength, fatigue, and vibration
4.5 Nacelle design and its integration with the vehicle
4.6 Performance optimization: thrust, efficiency, and noise
4.7 Propellant testing and validation
4.8 Propulsion system control and management
4.9 Design for manufacturing and assembly
4.10 Sustainability and propeller lifecycle
5.1 Fundamentals of rotor modeling: theory and equations
5.2 Rotor aerodynamic modeling: steady flow and 5.3 Rotor-Wake Interaction Modeling
5.4 Influence of Rotor Design on Performance
5.5 Rotor Design Optimization: Thrust, Power, and Noise
5.6 Rotor Modeling Tools and Software
5.7 Model Validation: Comparison with Experimental Data
5.8 Sensitivity Analysis and Parameter Study
5.9 Design for Manufacturing and Assembly
5.10 Case Studies: Practical Application of Modeling
6.1 Review of Rotor Modeling Principles
6.2 Rotor Aerodynamics Modeling: Steady and Transient Flow
6.3 Rotor-Wake Interaction Modeling
6.4 Influence of Rotor Design on Performance
6.5 Rotor Design Optimization: Thrust, Power, and Noise
6.6 Rotor Modeling Tools and Software
6.7 Model Validation: Comparison with Experimental Data
6.8 Sensitivity Analysis and Parameter Study
6.9 Design for Manufacturing and Assembly Assembly
6.10 Case Studies: Practical Application of Modeling
7.1 Review of Rotor Modeling: Theory and Equations
7.2 Model Validation: Comparison with Experimental Data
7.3 Performance Parameters: Thrust, Power, Efficiency, and Noise
7.4 Sensitivity Analysis: Influence of Design Parameters
7.5 Design Optimization: Algorithms and Methodologies
7.6 Failure and Reliability Analysis
7.7 Case Studies: Evaluation of Existing Designs
7.8 Design for Manufacturing and Assembly
7.9 Selection of Materials and Manufacturing Processes
7.10 Reporting and Presentation of Results
8.1 Review of Rotor Modeling and Its Fundamentals
8.2 Review of Rotor-Wake Interaction
8.3 Rotor Design Optimization: Thrust, Power, and Noise
8.4 Rotor Modeling Tools and Software
8.5 Model Validation: Comparison with Experimental Data
8.6 Sensitivity Analysis and Parameter Study
8.7 Design for Manufacturing and Assembly
8.8 Case Studies: Practical Application of Modeling
8.9 Design of Energy Management and Control Strategies
8.10 Future Trends in Rotor Modeling and Optimization
2.2 Design and Operation of Autonomous Urban Mobility Systems
2.2 Analysis and Optimization of Propulsion in Autonomous Urban Vehicles
2.3 Simulation and Evaluation of Propeller Performance for Autonomous Urban Mobility
2.4 Improvement of Propeller Design and Performance in Autonomous Urban Mobility
2.5 Optimization of Rotor Modeling and Performance for Autonomous Urban Mobility
2.6 Analysis and Optimization of Rotor Modeling in Autonomous Urban Mobility
2.7 Evaluation and Optimization of Rotor Modeling for Autonomous Urban Vehicles
2.8 Optimization of Rotor Modeling and Performance for Autonomous Urban Vehicles
3.3 eVTOL and UAM: Electric Propulsion, Multiple Rotors
3.2 Emerging Certification Requirements (SC-VTOL, Special Conditions)
3.3 Energy and Thermal in E-Propulsion (Batteries/Inverters)
3.4 Design for Maintainability and Modular Swaps
3.5 LCA/LCC in Rotorcraft and eVTOL (Footprint and Cost)
3.6 Operations & Vertiports: Airspace Integration
3.7 Data & Digital Thread: MBSE/PLM for Change Control
3.8 Tech Risk and Readiness: TRL/CRL/SRL
3.9 IP, Certifications, and Time-to-Market
3.30 Case Clinic: Go/No-Go with Risk Matrix
4.4 eVTOL and UAM: Electric Propulsion, Multiple Rotors
4.2 Emerging Certification Requirements (SC-VTOL, Special Conditions)
4.3 Energy and Thermal in E-Propulsion (Batteries/Inverters)
4.4 Design for Maintainability and Modular Swaps
4.5 LCA/LCC in Rotorcraft and eVTOL (Footprint and Cost)
4.6 Operations & Vertiports: Airspace Integration
4.7 Data & Digital Thread: MBSE/PLM for Change Control
4.8 Tech Risk and Readiness: TRL/CRL/SRL
4.9 IP, Certifications, and Time-to-Market
4.40 Case Study: Go/No-Go with Risk Matrix
5.5 Introduction to the Design of Autonomous Urban Mobility (AUM) Systems
5.5 Architecture and Key Components of Autonomous Urban Vehicles (AUVs)
5.3 Principles of Operation and Control in Urban Environments
5.4 Sensors and Perception Systems for Autonomous Navigation
5.5 Route Planning and Traffic Management in AUMs
5.6 Design of Human-Machine Interfaces (HMIs) for AUMs
5.7 Cybersecurity and Data Protection in Autonomous Systems
5.8 Regulatory and Ethical Aspects of Autonomous Urban Mobility
5.9 Case Studies: Implementation of AUM Systems
5.50 Future Trends and Challenges in the Development of Autonomous Mobility
5.5 Fundamentals of Propulsion in Autonomous Vehicles
5.5 Selection and Sizing of Systems Electric Propulsion (EPS)
5.3 Performance Analysis of Electric Motors for VAUs
5.4 Modeling and Simulation of Propulsion Systems
5.5 Optimization of Propeller and Rotor Design
5.6 Integration of Propulsion with the Flight Control System
5.7 Energy Efficiency and Consumption Analysis
5.8 Evaluation of Component Durability and Reliability
5.9 Cost-Benefit Analysis of Different Propulsion Configurations
5.50 Case Study: Propulsion Analysis in a Specific VAU
3.5 Introduction to Propeller and Rotor Simulation
3.5 Simulation Methods: CFD, BEM, and Blade Element Theory
3.3 Modeling Propeller and Rotor Geometry
3.4 Simulation of Aerodynamic Flow around Propellers
3.5 Performance Analysis Thrust, Torque, and Efficiency
3.6 Simulation of Rotor-Rotor and Rotor-Body Interaction Effects
3.7 Evaluation of Flight Stability and Control in Simulation
3.8 Simulation Tools: Software and Applications
3.9 Validation of Simulation Models with Experimental Data
3.50 Applications of Simulation in Propeller Design for Autonomous Urban Mobility (AUM)
4.5 Design Principles of Propellers for Autonomous Urban Mobility
4.5 Aerodynamic Design of Propellers: Airfoils and Geometry
4.3 Structural Design of Propellers: Materials and Manufacturing
4.4 Selection of Motors and Transmission Systems
4.5 Analysis of Energy Efficiency and Noise Reduction
4.6 Design of Propulsion Control Systems
4.7 Performance Optimization under Different Operating Conditions
4.8 Durability and Cycle Assessment Propeller Lifespan
4.9 Wind Tunnel Testing and Experimental Validation
4.50 Propeller Design for VAUs: Case Studies
5.5 Mathematical Modeling of Rotors: Theories and Methods
5.5 Optimization of Rotor Geometry for Efficiency
5.3 Finite Element Analysis (FEA) for Rotors
5.4 Simulation of Aerodynamic Flow around Rotors
5.5 Rotor Design to Minimize Noise and Vibration
5.6 Optimization of Materials and Manufacturing Processes
5.7 Modeling and Simulation of Rotor Control Systems
5.8 Optimization Tools for Rotor Design
5.9 Case Studies: Rotor Optimization in Real-World Applications
5.50 Impact of Optimization on Performance and Cost
6.5 Fundamentals of Rotor Modeling
6.5 Techniques of Modeling: CFD, BEM, and Blade Element Theory
6.3 Rotor Geometry Modeling
6.4 Aerodynamic Flow Modeling: Methods and Applications
6.5 Rotor Performance Analysis: Thrust, Power, and Efficiency
6.6 3D Interference and Flow Effects Modeling
6.7 Modeling Software: Tools and Techniques
6.8 Model Validation with Experimental Data
6.9 Case Studies: Rotor Modeling in Different Applications
6.50 Challenges and Future Trends in Rotor Modeling
7.5 Rotor Performance Evaluation Methods
7.5 Experimental Analysis of Rotors: Wind Tunnels and Test Benches
7.3 Energy Efficiency and Power Consumption Evaluation
7.4 Rotor Noise and Vibration Evaluation
7.5 Evaluation of the Rotor Durability and Reliability
7.6 Optimization Techniques for Improved Performance
7.7 Cost-Benefit Analysis in Rotor Design
7.8 Environmental Impact Assessment of Rotors
7.9 Case Studies: Rotor Evaluation and Optimization in Different Applications
7.50 Future Trends in Rotor Evaluation and Optimization
8.5 Rotor Design Principles for Urban Autonomous Vehicles
8.5 Material Selection and Manufacturing Processes
8.3 Analysis of Rotor Aerodynamics and Performance
8.4 Design for Noise and Vibration Reduction
8.5 Design Optimization for Different Operating Conditions
8.6 Rotor Integration with the Flight Control System
8.7 Evaluation of Rotor Durability and Reliability
8.8 Rotor Testing and Validation
8.9 Case Studies: Rotor Performance in Urban Autonomous Vehicles Specifics
8.50 Future Trends in Rotor Design for VAU
6.6 Introduction to UAM and Autonomous Mobility Systems
6.2 Architecture and Key Components of Autonomous Vehicles
6.3 Design of Propulsion Systems for Autonomous Vehicles
6.4 Selection and Sizing of Motors and Propellers
6.5 Integration of Control and Energy Management Systems
6.6 Safety and Reliability Considerations in Design
6.7 Aerodynamic Design and Energy Efficiency
6.8 Design of Autonomy and Navigation Systems
6.9 Regulations and Standards for Urban Autonomous Vehicles
6.60 Case Studies: Design of Successful Autonomous Vehicles
2.6 Fundamentals of Propulsion and Aerodynamics
2.2 Modeling and Simulation of Propulsion Systems
2.3 Efficiency and Performance Analysis of Propellers
2.4 Optimization of Propulsion Design Parameters
2.5 Selection of Propulsion Materials and Technologies
2.6 Vibration and Noise Analysis in Propulsion Systems
2.7 Failure Analysis and Risk Management in propulsion
2.8 Application of optimization algorithms in propulsion
2.9 Life cycle and cost analysis of propulsion systems
2.60 Case studies: Optimization of propulsion systems
3.6 Introduction to CFD and FEM simulation
3.2 Modeling propellers and rotors for autonomous vehicles
3.3 Airflow simulation and force calculation
3.4 Evaluation of propeller performance: thrust, power, and efficiency
3.5 Analysis of propeller-flow interaction and edge effects
3.6 Vibration simulation and modal analysis of propellers
3.7 Optimization of propeller design through simulation
3.8 Validation of simulation results with experimental data
3.9 Application of simulation software in propeller design
3.60 Case studies: Simulation and performance of propellers
4.6 Design principles of propellers for urban mobility
4.2 Aerodynamic design of propellers and Airfoil Profiles
4.3 Material Selection and Manufacturing Processes
4.4 Performance and Efficiency Analysis of Propellers
4.5 Design of Propulsion Control and Management Systems
4.6 Evaluation of Noise and Vibration in Propellers
4.7 Optimization of Propellers for Different Flight Scenarios
4.8 Integration of Propellers into Vehicle Design
4.9 Testing and Validation of Propeller Prototypes
4.60 Case Studies: Propeller Design and Performance
5.6 Introduction to Rotor Modeling and Rotor Momentum Theory
5.2 Mathematical Modeling of Rotors and Airfoils
5.3 Simulation of Airflow Around Rotors
5.4 Analysis of Rotor Performance: Thrust, Power, and Efficiency
5.5 Optimization of Rotor Design for Different Flight Conditions
5.6 Analysis of Rotor Stability and Control
5.7 Integration of Rotors into Vehicle Design
5.8 Rotor Vibration and Noise Simulation
5.9 Rotor Testing and Evaluation Methodologies
5.60 Case Studies: Rotor Modeling and Performance
6.6 Rotor Flow and Aerodynamic Analysis
6.2 Rotor Modeling and Simulation
6.3 Rotor Force and Moment Analysis
6.4 Rotor Performance Evaluation
6.5 Vibration and Noise Analysis
6.6 Rotor Design Optimization Techniques
6.7 Rotor Model Validation
6.8 Parameter Sensitivity Analysis
6.9 Case Studies: Rotor Modeling Analysis
6.60 Rotor Analysis Applications in UAM
7.6 Introduction to Rotor Evaluation
7.2 Rotor Testing and Measurement Methods
7.3 Rotor Performance Evaluation
7.4 Data Analysis and Model Validation
7.5 Rotor Design Optimization
7.6 Safety Considerations and Certification
7.7 Noise and Vibration Assessment
7.8 Life Cycle and Cost Analysis
7.9 Case Studies: Rotor Assessment and Optimization
7.60 Rotor Assessment Applications in UAM
8.6 Rotor Optimization for Urban Environments
8.2 Low-Noise Rotor Design
8.3 Rotor Energy Efficiency Optimization
8.4 Vibration Analysis and Noise Reduction
8.5 Rotor Design and Optimization for Vertical Take-Off and Landing
8.6 Rotor Optimization for Different Flight Scenarios
8.7 Rotor Integration into Control Systems
8.8 Safety and Regulatory Considerations
8.9 Case Studies: Urban Rotor Optimization
8.60 Implementation of Optimized Rotors in UAM
- 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”).