Accident investigation course at UAM
About our
The Accident Investigation Course at UAM offers specialized training in the methodology and techniques for accident and incident investigation, with an emphasis on air safety. The course covers root cause analysis, data collection and analysis, and report writing, preparing participants to apply international standards in the investigation of air, land, and maritime accidents. It focuses on the use of tools such as black boxes, human factors analysis, and an understanding of operational safety protocols.
The course provides practical experience in data interpretation, event reconstruction, and the identification of preventive measures. Participants will develop skills to identify contributing factors and recommend corrective actions, following regulations and protocols such as those of ICAO and other international organizations. This training is ideal for professionals in aviation, land transport, and industrial safety who are looking to improve their skills in accident investigation and risk prevention.
Accident investigation course at UAM
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
575 $
Competencies and results
What you will learn
1. Accident Investigation at UAM: Key Analysis and Techniques
Here is the content you will learn, as requested:
- Identify and understand the factors that contribute to unmanned aerial vehicle (UAM) accidents.
- Apply root cause analysis techniques to determine the primary and secondary causes of incidents.
- Evaluate relevant documentation, including flight reports, maintenance records, and sensor data.
- Apply structured investigation methodologies for evidence collection and analysis.
- Develop skills in producing accurate and concise accident investigation reports.
- Become familiar with the air safety regulations and standards applicable to UAMs.
- Learn to use simulation and modeling tools to reconstruct accident scenarios.
- Analyze real-world UAM accident case examples and extract lessons learned.
- Understand the principles Risk management and its application in accident prevention.
Develop skills for the effective communication of research results to stakeholders.
2. Rotor Modeling: Performance and Simulation
- Understand and model the complex interactions between rotor blades: flap, lag, and torsion.
- Evaluate the structural and dynamic stability of rotors, including whirl flutter.
- Estimate the service life of rotor components and analyze the effects of fatigue.
- Design and optimize laminates in composite materials for rotors.
- Model and analyze structural joints, including bonded joints, using finite element analysis (FE).
- Apply damage tolerance methodologies to assess rotor safety.
- Utilize non-destructive testing (NDT) techniques, such as ultrasonic testing (UT), radiography (RT), and thermography. for rotor inspection.
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. UAM Accident Investigation: In-depth Analysis and Practical Applications
4. UAM Accident Investigation: In-Depth Analysis and Practical Applications
Master the methodology for aeronautical accident investigation, from data collection to the preparation of technical reports.
Understand the root causes of accidents, including human factors, design flaws, and operational errors.
Apply advanced data analysis techniques, such as root cause analysis (RCA) and fault tree analysis.
Study the relevant international aeronautical regulations and legislation for accident investigation.
Become familiar with the use of specialized tools and software for accident simulation and analysis.
Analyze the influence of Safety Management Systems (SMS) on accident prevention.
Develop effective communication skills for presenting findings and recommendations.
Evaluate the effectiveness of corrective measures implemented after an accident. accident.
5. Accident Investigation UAM: Fundamentals and Essential Practices
5. Accident Investigation UAM: Fundamentals and Essential Practices
- Identify and understand the root causes of aircraft accidents, applying rigorous investigation methodologies.
- Master the key tools and techniques for data collection and analysis in accident investigations.
- Interpret and evaluate the information obtained from black boxes (FDR and CVR) to reconstruct events.
- Apply knowledge of human factors to understand the role of humans in accidents, including errors and decision-making.
- Analyze accident investigation reports and generate recommendations for the prevention of future incidents.
- Become familiar with the relevant aviation legislation and regulations for accident investigation.
6. UAM Accident Investigation: Unraveling Causes and Evaluating Consequences
- Identify and understand key methodologies for accident investigation.
- Analyze the phases of an accident investigation, from data collection to report writing.
- Apply root cause analysis techniques to identify contributing factors.
- Evaluate the consequences of accidents, including impacts on safety, the environment, and the economy.
- Become familiar with regulations and standards relevant to accident investigation.
- Use specialized tools and software for simulating and analyzing accident scenarios.
- Develop skills for effectively communicating investigation results.
- Understand the principles of operational safety and risk management.
- Study practical cases of maritime and aeronautical accidents, applying the knowledge acquired.
- Learn to propose corrective and preventive measures to avoid future accidents. accidents.
Who this program is for:
Accident investigation course at UAM
- 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.
Module 1 — Introduction and Regulatory Framework at UAM
1.1 Fundamentals of Accident Investigation in the UAM Context
1.2 Key Regulations and Standards Applicable to Accident Investigation
1.3 UAM’s Role in Aviation Safety and its Impact on Investigation
1.4 Ethical Principles in Accident Investigation at UAM
1.5 Introduction to Investigation Tools and Resources
1.6 The Accident Investigation Process: Phases and Stages
1.7 Legal Framework and Responsibilities in Accident Investigation at UAM
1.8 Types of Accidents and Adverse Events at UAM
1.9 Importance of Accident Prevention at UAM
1.10 Overview of Relevant Case Studies
2.2 Electric Propulsion, Multiple Rotors
2.2 Emerging Certification Requirements
2.3 Energy and Thermal in E-Propulsion
2.4 Design for Maintainability and Modular Upgrades
2.5 Life Cycle and Cost Analysis in Rotorcraft and eVTOLs
2.6 Operations and Vertiports: Airspace Integration
2.7 Data and Digital Chain: MBSE/PLM for Change Control
2.8 Technological Risk and Readiness: TRL/CRL/SRL
2.9 Intellectual Property, Certifications, and Time to Market
2.20 Case Study: Go/No-Go Decision with a Risk Matrix
3.3 UAM Methodology: Fundamental Principles
3.2 Legal and Regulatory Framework for Accident Investigation
3.3 Data Collection and Analysis: Techniques and Tools
3.4 Human Factors in Accident Investigation
3.5 Root Cause Analysis: Advanced Methodologies
3.6 Preparation of Investigation Reports: Structure and Content
3.7 Communication and Dissemination of Results
3.8 Accident Prevention: Strategies and Best Practices
3.9 Case Studies: Application of the Methodology in Real-World Scenarios
3.30 Evaluation and Continuous Improvement of the Investigation Process
5.4 Research Fundamentals at UAM: Key Concepts
5.2 Data and Evidence Collection: Techniques and Tools
5.3 Human Factors Analysis in UAM Accidents
5.4 Analysis of Technical and Mechanical Failures at UAM
5.5 Accident Investigation Methodologies: Step by Step
5.6 Preparing Investigation Reports: Structure and Content
5.7 Lessons Learned and Prevention of Future Accidents
5.8 Case Studies: Analysis of Real Accidents at UAM
5.5 Introduction to Accident Investigation at UAM: Key Concepts
5.5 Legal and Regulatory Framework Applicable to Accident Investigation at UAM
5.3 Types of Accidents at UAM and Their Classification
5.4 Initial Data Collection: Information Sources and Evidence
5.5 Safety Protocols and Accident Scene Management
5.6 Interviews and Testimonies: Techniques for Obtaining Relevant Information
5.7 First Aid and Victim Care
5.8 Documentation and Preservation of Physical Evidence
5.9 Ethical Considerations and Confidentiality in the Investigation
5.50 Basic Tools for Initial Data Analysis
5.5 Introduction to Rotor Modeling: Fundamental Principles and Concepts
5.5 Aerodynamic Modeling of Rotors: Theory and Simulation Methods
5.3 Structural Modeling of Rotors: Stress and Deformation Analysis
5.4 Rotor Performance Simulation: Software and Analysis Tools
5.5 Rotor Design Parameters and Optimization
5.6 Rotor-Flight Interaction Study
5.7 Rotor Noise Modeling
5.8 Rotor Stability and Control Analysis
5.9 Applications of Rotor Modeling in UAM Design and Analysis
5.50 Case Studies: Examples of Rotor Modeling and Simulation
3.5 General Methodology for Accident Investigation
3.5 Design and Planning of Accident Investigations in UAMs
3.3 Data Collection and Analysis: Techniques and Tools
3.4 Causal Chain Analysis and Root Cause Determination
3.5 Use of Cause-and-Effect Diagrams and Other Analysis Methods
3.6 Identification of Contributing Factors and Hazardous Conditions
3.7 Preparation of Investigation Reports: Structure and Content
3.8 Recommendations for Preventing Future Accidents
3.9 Implementation of Corrective Measures and Follow-up
3.50 Practical Application of the Methodology in Simulated Scenarios
4.5 In-Depth Analysis of UAM Accidents: Techniques Advanced
4.5 Data Analysis: Statistical Methods and Predictive Modeling
4.3 Human Factor Analysis: Errors, Fatigue, and Stress
4.4 Analysis of Technical and Design Failures
4.5 Analysis of Human-System-Environment Interaction
4.6 Case Studies: Detailed Analysis of Real Accidents
4.7 Use of Simulations and Modeling for Accident Analysis
4.8 Assessment of Accident Severity and Consequences
4.9 Development of Scenarios and Stress Tests
4.50 Preparation of Technical Reports and Presentations
5.5 Fundamental Principles of Accident Investigation
5.5 Legal and Regulatory Framework for Accident Investigation at UAM
5.3 Types of Evidence: Physical, Documentary, Testimonial
5.4 Techniques for Collecting and Preserving Evidence
5.5 Witness Interviews: Techniques and Best Practices
5.6 Preliminary Data Analysis: Identifying Patterns
5.7 Preparation of the Initial Investigation Report
5.8 Contributing Factors and Root Causes
5.9 Safety Standards and Risk Management
5.50 Safety Recommendations Based on Findings
6.5 Identifying Direct and Indirect Causes of Accidents
6.5 Human Factors Analysis: Errors, Fatigue, Training
6.3 Technical Failures: Design, Maintenance, and Operation
6.4 Environmental Factors and External Conditions
6.5 Evaluating Consequences: Social and Economic Impact
6.6 Risk and Hazard Assessment
6.7 Determining Severity and Probability
6.8 Risk Analysis Methods
6.9 Developing Mitigation Plans
6.50 Communicating Findings and Results
7.5 Accident Investigation Protocols: Standards and Best Practices
7.5 Notification and Initial Response Procedures
7.3 Accident Scene Management: Safety and Preservation of Evidence
7.4 Data Collection and Analysis: Sources and Methods
7.5 Interview Techniques: Obtaining Accurate and Relevant Information
7.6 Chain of Event Analysis and Root Cause Analysis
7.7 Preparation of Safety Reports and Recommendations
7.8 Learning from Accidents: Safety Culture
7.9 Implementation of Corrective and Preventive Measures
7.50 Monitoring and Evaluation of the Effectiveness of Actions
8.5 Investigation Planning and Design
8.5 Comprehensive Data Collection: Sources and Methods
8.3 Data Analysis: Advanced Tools and Techniques
8.4 Interpretation of Results and Drawing Conclusions
8.5 Risk and Hazard Assessment
8.6 Effective Communication of Findings and Recommendations
8.7 Preparation of High-Quality Investigation Reports
8.8 Review and Validation of Reports
8.9 Safety Audits and Evaluation of Effectiveness
8.50 Continuous Improvement of Safety at UAM
6.6 eVTOL and UAM: Electric Propulsion, Multiple Rotors
6.2 Emerging Certification Requirements (SC-VTOL, Special Conditions)
6.3 Energy and Thermal in E-Propulsion (Batteries/Inverters)
6.4 Design for Maintainability and Modular Swaps
6.5 LCA/LCC in Rotorcraft and eVTOL (Footprint and Cost)
6.6 Operations & Vertiports: Airspace Integration
6.7 Data & Digital Thread: MBSE/PLM for Change Control
6.8 Tech Risk and Readiness: TRL/CRL/SRL
6.9 IP, Certifications, and Time-to-Market
6.60 Case Study: Go/No-Go with Risk Matrix
- 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”).