Orbital collision prevention course
About our
The Orbital Collision Prevention Course provides essential knowledge of orbital dynamics, detection and tracking of space objects, and risk mitigation strategies. It focuses on orbit data analysis, trajectory modeling, and collision assessment, using tools such as prediction algorithms and scenario simulations. It covers legal and regulatory aspects related to space traffic management and space sustainability.
The course prepares participants to understand and apply space safety protocols, contributing to the protection of satellites and other space infrastructure. It offers a comprehensive view of space situational awareness (SSA) and collision avoidance techniques, fundamental to the safety of space operations globally. It focuses on developing analytical and practical skills for decision-making in collision risk situations.
Orbital collision prevention course
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
750 $
Competencies and results
What you will learn
1. Orbital Collision Prevention: Fundamentals and Advanced Strategies
- Understand the fundamental principles of orbital mechanics and satellite dynamics.
- Identify and analyze the risks associated with orbital collisions, including sources of space debris.
- Study space tracking and surveillance systems for the early detection of objects in orbit.
- Explore modeling and simulation techniques to predict trajectories and assess collision risks.
- Learn about collision avoidance methods and mitigation maneuvers.
- Analyze international policies and regulations related to space traffic management and orbital sustainability.
- Become familiar with space debris cleanup technologies and their implementation.
- Evaluate the economic and social impact of orbital collisions and the importance of prevention.
- Apply specialized software tools for collision analysis and space mission planning.
- Develop collision avoidance strategies, considering future scenarios and the growth of space traffic.
2. Rotor Modeling: Performance Analysis and Optimization
- Understand and apply advanced vibration and aeroelasticity analysis techniques to evaluate rotor stability, including the detailed study of flap-lag-torsion couplings, whirl flutter phenomena, and the assessment of structural fatigue.
- Master the design and optimization of rotor components using composite materials, including laminate sizing, simulation of structural joints and bonded joints using finite element analysis (FEA).
- Implement design methodologies that consider damage tolerance and advanced non-destructive testing (NDT) techniques such as ultrasonic testing (UT), radiography (RT), and thermography to ensure the structural integrity and longevity of rotors.
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. Orbital Collisions: Prediction, Avoidance, and Space Safety Protocols
- Understand the fundamentals of orbital collisions, including their probability and consequences.
- Identify objects in orbit that pose the greatest risk of collision, such as inactive satellites and space debris.
- Use orbital propagation models to predict potential future collisions.
- Apply collision avoidance techniques, including evasive maneuvers and coordination among satellite operators.
- Become familiar with international space safety protocols and current regulations.
- Evaluate the impact of orbital collisions on the long-term sustainability of the space environment.
- Analyze case studies of past orbital collisions and the lessons learned.
- Participate in orbital collision simulations and evasion planning exercises.
- Learn about emerging technologies for space debris mitigation and protection of satellites.
- Develop a deep understanding of the importance of international cooperation in space security.
5. Prevention of Orbital Collisions: Risk Analysis and Contingency Plans
- Identify the factors that contribute to orbital collisions, including orbiting objects, space debris, and natural hazards.
- Evaluate the risks associated with orbital collisions, considering the probability of impact, the magnitude of damage, and the implications for space safety and on-orbit operations.
- Develop contingency plans to mitigate the risks of orbital collisions, including avoidance strategies, relocation maneuvers, and emergency protocols.
- Use analysis and simulation tools to model collision scenarios, predict trajectories, and evaluate the effectiveness of mitigation measures.
- Understand the international regulations and standards related to orbital collision prevention, including UN guidelines and industry standards.
- Analyze the technologies and techniques used for the detection and tracking of orbiting objects, including radar, telescopes, and space surveillance systems.
Explore the different options for space debris removal, including controlled deorbiting, active collection, and orbital cleanup.
Evaluate the economic and social impact of orbital collisions, including the costs of damage, the loss of space assets, and the implications for space sustainability.
6. Orbital Collision Prevention Course: Detection and Avoidance Techniques
6. Orbital Collision Prevention Course: Detection and Avoidance Techniques
- Identification of Objects in Orbit: You will learn to distinguish between operational satellites, space debris, and other objects in Earth orbit.
- Trajectory Modeling and Collision Prediction: You will master the use of specialized software to simulate orbital motions and predict potential collisions.
- Early Detection Techniques: You will study early warning systems and data analysis to identify collision risks in advance.
- Avoidance Maneuvers: You will gain knowledge of strategies and procedures for performing safe and effective avoidance maneuvers.
- Risk Management and Decision Making: You will learn to assess the probability of collision, analyze risks, and make informed decisions to protect assets in orbit.
- Legislation and Regulations: You will become familiar with the relevant laws and regulations.
international best practices in space traffic management and collision avoidance.
Sensor Technology: You will explore the types of sensors used to track space objects, including radar, optical telescopes, and infrared sensors.
Space Data Analysis and Big Data: You will develop skills in analyzing large orbital datasets to improve the accuracy of predictions and decision-making.
Simulations and Hands-on Exercises: You will participate in collision simulations and hands-on exercises to apply your knowledge to real-world scenarios.
The Future of Collision Avoidance: You will explore emerging technologies and future trends in orbital collision avoidance, such as space debris cleanup and sustainable space management.
Who this program is for:
Orbital collision prevention course
- 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 — Fundamentals of Orbital Collision Prevention
1.1 Introduction to Space Debris and Collision Risk
1.2 Orbital Mechanics: Key Concepts and Orbital Parameters
1.3 Space Sensors and Surveillance Systems: Types and Operation
1.4 Cataloging Space Objects: Methods and Data Sources
1.5 Trajectory Modeling and Conjunction Prediction
1.6 Collision Probability: Calculation and Risk Assessment
1.7 Fundamentals of Mitigation: Evasive Maneuvers
1.8 International Standards and Regulations on Space Traffic
1.9 The Importance of International Cooperation in Collision Prevention
1.10 Case Studies: Incident Analysis and Lessons Learned
2.2 Fundamentals of Rotor Aerodynamics: Key Theory and Principles
2.2 Computational Modeling of Rotors: CFD and Finite Element Methods
2.3 Rotor Blade Design: Geometry, Materials, and Manufacturing
2.4 Rotor Performance Analysis: Thrust, Power, and Efficiency
2.5 Rotor Design Optimization: Advanced Techniques and Algorithms
2.6 Computational Fluid Dynamics (CFD) in Rotors: Simulation and Analysis
2.7 Rotor Vibrations: Causes, Analysis, and Mitigation
2.8 Rotor Noise: Sources, Modeling, and Reduction
2.9 Specific Rotor Applications: Helicopters, Drones, and Wind Turbines
2.20 Case Studies: Practical Rotor Analysis and Optimization
3.3 Introduction to Space Law and International Agreements
3.2 National and International Regulation of Space Traffic
3.3 Fundamentals of Orbital Mechanics and Trajectory Propagation
3.4 Space Surveillance Systems (SSS) and Their Components
3.5 Space Catalog Data and Information Sources
3.6 Key Concepts: Orbits, Satellites, and Space Debris
3.7 Debris Population Modeling and Evolution
3.8 Initial Risk Analysis and Threat Assessment
3.9 Orbital Object Detection and Monitoring Tools
3.30 Case Studies of Orbital Events and Accidents
4.4 Fundamentals of Orbital Collision Prediction
4.2 Methods for Detecting and Tracking Objects in Orbit
4.3 Modeling and Simulation of Orbital Trajectories
4.4 Collision Risk and Probability Analysis
4.5 Collision Avoidance Strategies: Maneuvers and Deorbiting
4.6 Space Safety and Communication Protocols
4.7 Space Traffic Management and Coordination
4.8 Early Warning Systems and Continuous Monitoring
4.9 Legal Framework and International Regulations
4.40 Case Studies and Practical Examples
5.5 Risk Assessment in Orbit: Identification and Categorization
5.5 Orbital Propagation Models and Their Impact on Prediction
5.3 Analysis of Data from Objects in Orbit: Sources and Reliability
5.4 Risk Matrices: Construction and Application in Collision Management
5.5 Contingency Plans: Development for Different Scenarios
5.6 Collision Simulation: Tools and Methodologies
5.7 Vulnerability Assessment of Satellites and Space Assets
5.8 Collision Threat Response Protocols
5.9 Testing of Mitigation and Evasion Strategies
5.50 Continuous Monitoring and Updating of Contingency Plans
6.6 Sensors and Detection Systems: Radar, Optical, and other spatial detection systems
6.2 Trajectory Modeling: Analysis and prediction of spatial trajectories
6.3 Evasion Algorithms: Design and simulation of evasion maneuvers
6.4 Evasion Maneuvers: Techniques and strategies for collision avoidance
6.5 Space Traffic Management Systems: Integration and control of space traffic
6.6 Collision Prediction Software: Use and analysis of specialized software
6.7 Data and Metadata: Data management and analysis for collision prevention
6.8 Communication and Coordination: Communication protocols in emergency situations
6.9 Risk Assessment: Analysis of collision scenarios and their consequences
6.60 Case Studies: Analysis of past incidents and lessons learned
- 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”).