Digital twin course in aircraft
About our
The Digital Twins in Aircraft course delves into the creation and application of virtual representations of physical assets (aircraft, components). It explores the integration of real-time data, predictive analytics, and advanced simulation to optimize aircraft design, manufacturing, maintenance, and operation. It includes the use of 3D modeling tools, CFD simulation, data analytics (Big Data), and the implementation of Internet of Things (IoT) systems in aviation. The course aims to develop skills in process digitization, predictive maintenance, and data-driven decision-making, improving efficiency and safety in the aerospace industry.
The program emphasizes hands-on experience in developing digital twins, from sensor data capture to visualization and results analysis. The application of digital twin technology is addressed in areas such as product lifecycle management (PLM), flight path optimization, and failure simulation. Participants prepare for roles such as digital twin engineers, aeronautical data analysts, and predictive maintenance specialists, increasing their value in the aerospace industry and complying with standards such as ISO 9001 and regulations such as FAA and EASA.
Digital twin course in aircraft
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
425 $
Competencies and results
What you will learn
1. Simulation and Analysis of Digital Systems in Aircraft
Here is the requested content:
- Modeling and simulation of complex digital systems used in aircraft.
- Design and analysis of integrated digital circuits (CPLDs, FPGAs) for aeronautical applications.
- Understanding aeronautical communication protocols (ARINC 429, MIL-STD-1553).
- Implementation of flight data acquisition and processing systems.
- Development of embedded software for flight control and avionics systems.
- Fault analysis and diagnostics of digital systems in aircraft.
- Application of cybersecurity techniques in aeronautical systems.
2. Domain of Digital Twins for Aerial Optimization
- Modeling and simulation of complex aeronautical structures using Digital Twins.
- Optimizing aircraft design to improve efficiency and reduce operating costs.
- Application of Digital Twins for in-flight behavior analysis and failure prediction.
- Proficiency in numerical simulation tools (FEA, CFD) for structural and aerodynamic analysis.
- Development of Digital Twin models for aircraft lifecycle management.
- Integration of sensor data and monitoring systems for real-time monitoring.
- Simulation of failure scenarios and risk analysis using Digital Twins.
- Optimizing maintenance planning and fleet management.
- Creation of Digital Twins for personnel training and development.
- Use of Digital Twins in the design and development of new aircraft and systems.
2.
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 Digital Twins in Aeronautical Design and Maintenance
4. Implementation of Digital Twins in Aeronautical Design and Maintenance
Conceptualize and apply digital twins for aircraft scenario simulation.
Use digital twins in the design phase, optimizing structure and performance.
Employ digital twins for predictive failure analysis and component lifecycle management.
Integrate real-time sensor data into digital twins for structural health monitoring.
Simulate the behavior of aeronautical materials and structures under various operating conditions.
Evaluate the impact of design and operating variables on component lifespan.
Implement digital twins for failure mode analysis and predictive maintenance planning.
Develop simulation models to predict damage propagation in aeronautical structures.
Use digital twins in the
5. Advanced Modeling and Performance Analysis with Digital Twins in Aviation
- Modeling complex aeronautical components using digital twin techniques.
- Simulation and analysis of aircraft systems in advanced digital environments.
- Optimization of aircraft performance using digital twins and predictive analytics.
- Evaluation of aircraft structural integrity with digital twins.
- Design and analysis of flight control and avionics systems in simulation environments.
- Application of digital twins for aircraft lifecycle management.
- Data analysis and advanced visualization for decision-making in aviation.
- Integration of digital twins with maintenance and operations management systems.
- Exploration of emerging technologies such as artificial intelligence and machine learning in aviation.
- Identification and mitigation of risks through the use of digital twins.
6. Design and Optimization of Aerial Components with Digital Twins
- Master the analysis of crucial aeroelastic phenomena such as flap-lag-torsion couplings, which impact aircraft stability and control, as well as whirl flutter, a destructive vibration in rotors, and the assessment of fatigue, a determining factor in the service life of components.
- Apply advanced techniques for the dimensioning of laminated structures made of composite materials, including joints and bonded joints, using the Finite Element (FE) method to simulate and optimize structural performance.
- Integrate damage tolerance strategies to ensure safety in the presence of damage, and employ Non-Destructive Testing (NDT) techniques such as Ultrasound (UT), Radiography (RT), and Thermography for the early detection of defects.
Who this program is for:
Digital twin course in aircraft
- 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.
1. Simulation and Analysis of Digital Systems in Aircraft
1.1. Fundamentals of Digital Simulation in Aviation
1.2. Modeling of Aeronautical Electronic Systems
1.3. Simulation Tools and Software
1.4. Analysis of Digital Circuits and Signals
1.5. Simulation of Flight Control Systems
1.6. Validation and Verification of Digital Models
1.7. Design of Communication Protocols in Aircraft
1.8. Fault and Tolerance Analysis in Digital Systems
1.9. Security and Data Protection in Aviation
1.10. Simulation Applications in Aeronautical Design and Maintenance
2. Mastering Digital Twins for Aircraft Optimization
2.1. Introduction to Digital Twins in the Aeronautical Industry
2.2. Architecture and Components of a Digital Twin
2.3. Data Acquisition and Management for Digital Twins
2.4. 3D Modeling and Visualization of Aircraft
2.5. Integration of Real-Time Sensor Data
2.6. Data Analysis and Performance Prediction
2.7. Aircraft Design Optimization
2.8. Improvement of Operational Efficiency
2.9. Applications of Digital Twins in Maintenance
2.10. Case Studies: Optimization of Aircraft Performance
3. Development and Application of Digital Twins for Aeronautical Engineering
3.1. Methodology for the Development of Digital Twins
3.2. Selection of Modeling Platforms and Tools
3.3. Integration of Data from Different Sources
3.4. Simulation and Analysis of Aircraft Behavior
3.5. Design and Optimization of Structural Components
3.6. Development of Predictive Maintenance Models
3.7. Digital Twin Validation and Verification
3.8. Applications in Propulsion System Design
3.9. Integration with Product Lifecycle Management (PLM) Systems
3.10. Case Studies: Development and Application of Digital Twins
4. Implementation of Digital Twins in Aeronautical Design and Maintenance
4.1. Digital Twin Implementation Strategies
4.2. Data Requirements and Technical Specifications
4.3. Integration with CAD/CAM Systems
4.4. Design of Digital Twins for Different Subsystems
4.5. Predictive Maintenance Based on Digital Twins
4.6. Failure Analysis and Remote Diagnostics
4.7. Product Lifecycle Management (PLM) with Digital Twins
4.8. Design Optimization for Manufacturing and Maintenance
4.9. Integration of Digital Twins in Certification Processes
4.10. Practical Implementation: Aeronautical Design and Maintenance
5. Advanced Modeling and Performance Analysis with Digital Twins in Aviation
5.1. Advanced Digital Twin Modeling Techniques
5.2. Aerodynamic Behavior Modeling
5.3. Propulsion System Modeling
5.4. Structural Behavior Simulation
5.5. Performance Analysis under Different Flight Conditions
5.6. Fuel Consumption and Emissions Optimization
5.7. Flight Cycle and Operational Analysis
5.8. Failure Simulation and Risk Analysis
5.9. Integration with Meteorological and Air Traffic Data
5.10. Advanced Performance Analysis with Digital Twins
6. Design and Optimization of Aircraft Components with Digital Twins
6.1. Design of Structural Components with Digital Twins
6.2. Optimization of Wing and Fuselage Design
6.3. Design of Flight Control Systems
6.4. Modeling and Analysis of Propulsion Systems
6.5. Material Selection and Manufacturing Design
6.6. Optimization of Component Strength and Durability
6.7. Flight Test Simulation and Validation
6.8. Design of Components for Predictive Maintenance
6.9. Integration with Additive Manufacturing Processes
6.10. Design and Optimization of Aircraft Components
7. Implementation of Digital Twins for Predictive Aircraft Maintenance
7.1. Predictive Maintenance Strategies
7.2. 7.3. Sensor Data Collection and Analysis
7.4. Component Degradation Model Development
7.5. Failure Prediction and Maintenance Scheduling
7.6. Integration with Maintenance Management Systems (MMS)
7.7. Maintenance Route Optimization
7.8. Maintenance Cost Reduction
7.9. Increased Aircraft Availability
7.10. Integration of Digital Twins in Fleet Maintenance
7.11. Practical Implementation: Predictive Aircraft Maintenance
8. Optimizing Aeronautical Performance Using Digital Twins
8.1. Real-Time Performance Analysis with Digital Twins
8.2. Flight Route Optimization and Planning
8.3. Fuel Management and Energy Efficiency
8.4. Analysis of Performance in Different Weather Conditions
8.5. Aircraft Design and Operation Optimization
8.6. Emission Reduction and Sustainability
8.7. Payload and Passenger Capacity Optimization
8.8. Integration with Air Traffic Management Systems
8.9. Development of New Operational Strategies
8.10. Aeronautical Performance Optimization
2.2 Introduction to Digital Simulation in Aviation
2.2 Principles of Digital Systems Simulation
2.3 Digital Simulation Tools and Software
2.4 Modeling Digital Systems in Aircraft
2.5 Analysis of Digital Circuits in Aviation
2.6 Simulation of Processors and Microcontrollers
2.7 Design and Verification of Digital Systems
2.8 Applications of Simulation in Aeronautical Design
2.9 Fault Simulation and Troubleshooting
2.20 Practical Cases and Studies of Digital Simulation in Aviation
3.3 Introduction to Digital Twins in Aeronautical Engineering
3.2 Digital Twin Architecture and Design
3.3 Tools and Platforms for Creating Digital Twins
3.4 3D Modeling and Simulation of Aeronautical Components
3.5 Data Analysis and Visualization in Digital Twins
3.6 Applications of Digital Twins in Aircraft Design
3.7 Design Optimization with Digital Twins
3.8 Validation and Verification of Digital Twins
3.9 Case Studies: Implementation of Digital Twins in Aeronautical Projects
3.30 Future Trends and Challenges in the Use of Digital Twins in Aviation
4.4 Design of Aeronautical Components with Digital Twins
4.2 Simulation of Complex Assemblies
4.3 Optimization of Aerodynamics and Structure
4.4 Design Validation and Performance Analysis
4.5 Integration of Systems and Subsystems
4.6 Parametric Design and Sensitivity Analysis
4.7 Defect Modeling and Tolerance Analysis
4.8 Virtual Prototyping and Proof of Concept
4.9 Design Lifecycle Management
4.40 Additive Manufacturing and Digital Twins
5.5 Introduction to Digital Systems Simulation in Aircraft
5.5 Aeronautical Digital Systems Architectures
5.3 Simulation and Modeling Tools (e.g., Simulink, Modelica)
5.4 Simulation of Sensors and Actuators
5.5 Modeling of Data Buses and Communication Protocols
5.6 Data Integrity Analysis and Fault Detection
5.7 Simulation of Flight Control Systems
5.8 Verification and Validation of Digital Aircraft Systems
5.9 Case Studies: Simulation of Specific Systems (e.g., Avionics)
5.50 Implementation of Tests and Analysis of Results
5.5 Introduction to Digital Twins in the Aeronautical Industry
5.5 Fundamental Concepts of Digital Twins
5.3 Enabling Technologies (IoT, Sensors, Cloud)
5.4 Creating Digital Twins for Aeronautical Components
5.5 Real-Time Data Synchronization
5.6 Data Analysis and Visualization
5.7 Applications in Air Operations Optimization
5.8 Use Cases: Route Optimization and Fuel Consumption
5.9 Integration of Digital Twins with Existing Systems
5.50 Challenges and Future Perspectives
3.5 Fundamentals of Aeronautical Digital Twin Development
3.5 3D Modeling and Physical Simulation
3.3 Integration of Sensor and System Data
3.4 Development of Flight Simulation Models
3.5 Development of Propulsion System Simulation Models
3.6 Development of Flight Control System Simulation Models
3.7 Model Validation and Verification
3.8 Deployment and Management of Digital Twins
3.9 Development of Digital Twin-Based Applications
3.50 Security and Cybersecurity Aspects
4.5 Applications of Digital Twins in Aeronautical Design
4.5 Design and Simulation of Components with Digital Twins
4.3 Design and Simulation of Systems with Digital Twins
4.4 Implementation of Digital Twins for Predictive Maintenance
4.5 Real-time monitoring of component status
4.6 Predictive maintenance scheduling
4.7 Integration of maintenance data into digital twins
4.8 Improvement of aircraft performance and availability
4.9 Failure analysis with digital twins
4.50 Optimization of design and maintenance processes
5.5 Advanced aircraft systems modeling
5.5 High-fidelity modeling techniques
5.3 Aerodynamic and structural performance analysis
5.4 Fuel consumption optimization
5.5 Simulation of complex operating scenarios
5.6 Integration of data from sensors and onboard systems
5.7 Modeling of environmental conditions
5.8 Modeling of component failures and degradation
5.9 Risk and reliability analysis
5.50 Trend prediction and decision-making
6.5 Design of aircraft components with digital twins
6.5 3D modeling and simulation of components
6.3 Finite element analysis (FEA) and Computational Fluid Dynamics (CFD)
6.4 Design Optimization for Weight Reduction and Efficiency
6.5 Design Optimization for Strength and Durability
6.6 Life Cycle Simulation and Fatigue Analysis
6.7 Integration of Sensor Data for Real-Time Monitoring
6.8 Additive Manufacturing and Digital Twins
6.9 Case Studies: Specific Components (e.g., wings, engines)
6.50 Design of Smart and Connectable Components
7.5 Fundamentals of Predictive Aircraft Maintenance
7.5 Implementation of Digital Twins for Asset Monitoring
7.3 Data Collection and Sensor Analysis
7.4 Analysis of Historical Data and Trends
7.5 Fault Detection and Diagnosis
7.6 Component Lifespan Prediction
7.7 Condition-Based Maintenance Planning
7.8 Integration with Computer Maintenance Management Systems (CMMS)
7.9 Efficiency Improvement and Downtime Reduction Maintenance costs
7.50 Case studies: Predictive maintenance of engines and airframes
8.5 Optimizing aircraft performance using digital twins
8.5 Flight data and performance analysis
8.3 Aircraft performance modeling and simulation
8.4 Fuel consumption optimization
8.5 Route optimization and air traffic management
8.6 Engine performance optimization
8.7 Component degradation analysis
8.8 Real-time data-driven decision making
8.9 Reducing operating costs
8.50 The future of aircraft performance with digital twins
6.6 Design and Optimization of Propellers and Rotors Using Digital Twins
6.2 Modeling of Lightweight Structures and Fatigue Analysis
6.3 Selection and Simulation of Advanced Composite Materials
6.4 Design of Flight Control Systems with Digital Twins
6.5 Aerodynamic Optimization of Wings and Fuselages
6.6 Integration of Avionics and Sensor Systems
6.7 Design of Onboard Energy Management Systems
6.8 Flight Scenario Simulation and Virtual Testing
6.9 Cost and Life Cycle Analysis of Component Design
6.60 Risk Assessment and Failure Mitigation in Design
- 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”).