Digital twin course in satellites
About our
The Digital Twins in Satellites course focuses on the application of digital twin technology for the simulation, analysis, and optimization of the satellite lifecycle. This course covers the modeling of complex systems, real-time data integration, and predictive failure analysis, with an emphasis on design optimization, operations management, and predictive maintenance of satellites.
Participants will gain knowledge in 3D modeling, physical simulation, integration of sensor data, and the use of data analysis tools to create accurate and functional digital twins. The course will cover topics such as telemetry, satellite fleet health management, and data-driven decision-making, enabling participants to improve the efficiency and reliability of space missions. Simulation software and case studies relevant to the space industry will be applied.
Digital twin course in satellites
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
480 $
Competencies and results
What you will learn
1. Development and Simulation of Digital Twins for Satellites
- Modeling and simulation of complex satellite systems.
- Design and analysis of digital twins for satellite performance monitoring.
- Implementation of advanced simulation techniques to predict satellite behavior in different scenarios.
- Development of predictive maintenance strategies based on digital twins.
- Data analysis and visualization for interpreting simulation results.
- Use of specialized satellite simulation software.
- Integration of digital twins with satellite control and management systems.
- Application of digital twins for optimizing satellite performance and lifespan.
- Identification and mitigation of risks through the simulation of critical scenarios.
- Study of the latest trends in the development of digital twins for the space industry.
2. Design and Analysis of Digital Twins for Satellite Systems
-
You will master the modeling and simulation of satellite systems using digital twins.
-
You will delve into the design of optimized space structures, including stress and deformation analysis.
-
You will develop skills in the validation and verification of digital twin models.
-
You will explore the applications of digital twins throughout the satellite lifecycle, from design to operation and maintenance.
-
You will use advanced simulation tools for scenario analysis and data-driven decision-making.
-
You will understand the fundamentals of artificial intelligence and machine learning for digital twin optimization.
- You will apply the knowledge you acquire in practical projects and real-world case studies.
You will learn to integrate real-time sensor data for system monitoring and control.
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. Optimization and Validation of Digital Twins for Space Applications
- Understand the design and simulation of digital twins for space environments.
- Master optimization techniques to improve the performance and efficiency of digital twins.
- Learn to validate digital twins through rigorous testing and analysis.
- Apply digital twins for the structural analysis and simulation of space systems.
- Use specialized software tools for the creation and management of digital twins.
- Explore the integration of digital twins with control systems and sensors in space applications.
- Identify and mitigate risks associated with the design and operation of space systems using digital twins.
- 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).
5. Creation and Management of Digital Twins for the Satellite Sector
- Design and build digital twins (DTs) for satellites, understanding their architecture, components, and functionalities.
- Explore the key technologies for creating DTs: 3D modeling, simulation, the Internet of Things (IoT), and data analytics.
- Learn to integrate data from multiple sources (sensors, geographic information systems, etc.) into the DT.
- Use specialized software for simulating operational scenarios, including orbital behavior and flight dynamics.
- Apply predictive analytics and predictive maintenance techniques using the data generated by the DT.
- Optimize satellite performance and efficiency through real-time data analysis and scenario simulation.
- Understand the challenges and solutions for satellite lifecycle management using DTs.
- Develop skills in identifying and solving Problems, risk analysis, and data-driven decision-making.
Study real-world use cases of digital twins in the satellite sector, including applications in communications, Earth observation, and navigation.
Become familiar with industry regulations and standards related to the creation and use of digital twins in space.
6. Analysis and Simulation of Digital Twins in Satellite Environments
6. Analysis and Simulation of Digital Twins in Satellite Environments
- Understand the architecture of digital twins applied to satellite systems.
- Master the modeling and simulation of critical satellite components using specialized software.
- Apply data analysis techniques for performance optimization and anomaly detection.
- Explore the applications of digital twins in satellite lifecycle management.
- Learn about the integration of digital twins with control and communication systems.
- Identify and mitigate risks in satellite operations through advanced simulations.
Who this program is for:
Digital twin course in satellites
- Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation, Telecommunications, or related disciplines, interested in the application of digital twins in the space sector.
- Professionals with experience in the satellite sector, including satellite manufacturers, constellation operators, satellite data service providers, launch companies, and developers of satellite-based applications.
- Experts in areas such as satellite design, attitude and orbit control systems (AOCS), space telecommunications, mission management, and data analysis Satellite scientists, data science professionals applied to the space sector, and cybersecurity experts specializing in satellite systems who wish to optimize their skills with digital twins.
Researchers, scientists, and technicians from space research centers, universities, and government organizations seeking to deepen their understanding of the use of digital twins for the simulation, analysis, and optimization of space missions.
Software and hardware engineers with experience in developing systems and applications for the space sector, interested in the design and implementation of digital twins for satellite simulation, monitoring, and management.
Recommended requirements: Basic knowledge of orbital mechanics, telecommunications systems, programming (Python, MATLAB), and data management; ES/EN B2+/C1. We offer support resources if required.
- 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 and Design of Satellite Digital Twins
1.1 Introduction to Digital Twins in the Satellite Context: Definitions, key concepts, and applications.
1.2 Architecture of a Satellite Digital Twin: Components, interconnections, and levels of abstraction.
1.3 Digital Twin Design: Data collection and management for the creation of virtual models.
1.4 Physical-Digital Modeling: Representation of satellite subsystems (sensors, actuators, etc.).
1.5 Behavioral Modeling: Simulation of orbital, thermal, and electrical dynamics.
1.6 Real-Time Data Integration: Data sources and communication protocols.
1.7 User Interface (UI) Design and Data Visualization: Tools and techniques for analysis. 1.8 Validation and Verification of Digital Twins: Evaluation Methodologies and Metrics.
1.9 Security and Cybersecurity Considerations in Satellite Digital Twins.
1.10 Case Studies: Practical Examples of Satellite Digital Twin Design and Application.
2.2 Satellite Systems Architecture and Conceptual Design
2.2 Modeling of Satellite Components and Subsystems
2.3 Simulation of Dynamic Systems and Orbital Trajectories
2.4 Design of Digital Twins: Structure and Functionality
2.5 Performance Analysis and Design Evaluation
2.6 Validation and Verification Methodologies
2.7 Tools and Software for Design and Analysis
2.8 Risk Analysis and Mitigation in Design
2.9 Design for Manufacturing and Assembly
2.20 Case Studies: Analysis of Satellite Missions
3.3 Satellite Systems Architecture and Hardware: Key Components
3.2 Software Design for Digital Twins: Simulation and Control
3.3 Data Integration: Sources and Formats in Space
3.4 User Interface (UI) Development for Space Digital Twins
3.5 Implementation of Physics Models: Orbital Dynamics and Atmosphere
3.6 Validation and Verification: Testing in Simulation and Real-World Environments
3.7 Remote Monitoring and Control: Operations with Digital Twins
3.8 Failure Analysis and Diagnostics: Simulation of Critical Scenarios
3.9 Lifecycle Management: Twin Upgrades and Maintenance
3.30 Case Studies: Successful Implementations in the Satellite Industry
4.4 Modeling and Simulation of Performance in Orbit
4.2 Optimization of Satellite Trajectories and Maneuvers
4.3 Feasibility Analysis and Mission Design
4.4 Resource Management and Energy Efficiency
4.5 Design for Reliability and Durability in Space
4.6 Failure Simulation and Operational Recovery
4.7 Telemetry Data Analysis and Digital Twin Validation
4.8 Optimization of Satellite Subsystems and Components
4.9 Integration of Digital Twins with Ground Control Systems
4.40 Case Studies: Applications and Challenges in the Satellite Sector
5.5 Introduction to Digital Twins for Satellites: Concepts and Fundamentals
5.5 Tools and Technologies for Digital Twin Development
5.3 3D Modeling and Physical Simulation of Satellite Components
5.4 Simulation of Space Environments and Operating Conditions
5.5 Development of Interfaces and Data Connections for Digital Twins
5.6 Case Studies: Simulation of Existing Satellite Systems
5.7 Simulation Practices: Problem Identification and Resolution
5.8 Optimizing Simulation Performance for Satellites
5.5 Architecture and Design of Digital Twins for Satellite Systems
5.5 Modeling of Satellite Subsystems: Structure, Power, Thermal Control
5.3 Data and Sensor Analysis in Digital Twins
5.4 Validation and Verification of Digital Twin Models
5.5 Design of Experiments and Sensitivity Analysis
5.6 Case Studies: Designing Digital Twins for Specific Missions
5.7 Failure Analysis and Performance Prediction
5.8 Life Cycle and Cost Assessment of Digital Twins
3.5 Digital Twin Implementation Strategies in the Satellite Industry
3.5 Integration with Satellite Control and Operation Systems
3.3 Data Management and Workflows in Digital Twins
3.4 Cybersecurity and Data Protection in Satellite Environments
3.5 Implementing Digital Twins for Predictive Maintenance
3.6 Case Studies: Implementation in Space Sector Companies
3.7 Challenges and Solutions in Digital Twin Implementation
3.8 Planning and Execution of Implementation Projects
4.5 Optimization Techniques for Digital Twins: Algorithms and Methods
4.5 Validation of Digital Twins Using Real Data
4.3 Calibration and Adjustment of Digital Twin Models
4.4 Uncertainty and Tolerance Analysis in Space Systems
4.5 Optimization of Satellite Design and Operation
4.6 Case Studies: Optimization in Space Missions
4.7 Performance Metrics and Optimization Evaluation
4.8 Tools and Platforms for Optimization
5.5 Definition of Requirements and Design of Digital Twins for the Satellite Sector
5.5 Selection of Creation Platforms and Tools
5.3 Modeling of Complex Satellite Components and Systems
5.4 Data Integration and Connections with External Systems
5.5 Digital Twin Lifecycle Management and Version Control
5.6 Case Studies: Creation of Digital Twins for Different Missions
5.7 Legal and Ethical Aspects in the Creation of Digital Twins
5.8 Management and Collaboration Strategies in Development Teams
6.5 Data Analysis in Satellite Environments
6.5 Simulation of Satellite Orbits and Trajectories
6.3 Performance Analysis of Satellite Communication Systems
6.4 Simulation of Interactions with the Space Environment
6.5 Risk and Failure Analysis in Satellite Systems
6.6 Case Studies: Analysis and Simulation of Specific Missions
6.7 Tools and Platforms for Analysis and Simulation
6.8 Applications of Artificial Intelligence in Analysis
7.5 Creation of 3D Models and Physical Simulation
7.5 Optimization of Digital Model Performance
7.3 Integration of Sensor and Telemetry Data
7.4 Design Optimization for Manufacturing and Operation
7.5 Case Studies: Applications in Various Satellite Missions
7.6 Tools and Software for Creation and Optimization
7.7 Design for Sustainability and Environmental Impact
7.8 Life Cycle Assessment and Cost of Digital Twins
8.5 Integration of Digital Twins with Control and Operation Systems
8.5 Advanced Simulation of Propulsion and Attitude Control Systems
8.3 Simulation of Critical Events and Failure Scenarios
8.4 Integration with Mission Simulation Platforms
8.5 Case Studies: Advanced Simulation in Complex Missions
8.6 Tools and Techniques for Advanced Simulation
8.7 Best Practices in Integration and Simulation
8.8 Future of Integration and Simulation in the Space Sector
6.6 Modeling Satellite Environments for Simulation
6.2 Analysis of Satellite Orbits and Trajectories
6.3 Simulation of Satellite Subsystems
6.4 Analysis of Satellite Data and Telemetry
6.5 Simulation of Signal Propagation in Space
6.6 Modeling Satellite-Earth Interactions
6.7 Simulation of Satellite Attitudes and Control
6.8 Risk and Contingency Analysis in Satellite Environments
6.9 Validation and Verification of Simulation Models
6.60 Case Studies: Simulation of Satellite Missions
- 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”).