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CourseAerospace, UAM, Drones & Space Applications open

Digital twin course in satellites

Online course of 300 hours in digital twins in satellites. 6 modules covering digital twins in space missions, subsystem modelling, telemetry and operations data, analysis, diagnosis and planning, and engineering and validation of the twin, applying ECSS-E-ST-70-41C, CCSDS 133.0-B-2 and ECSS-E-TM-40-07 with ESA SIMULUS, STK and MATLAB/Simulink, with an assigned technical tutor.

Duration3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Understand the role of the digital twin in space missions.

02

Model the main subsystems of a satellite.

03

Process standard CCSDS and PUS telemetry.

04

Detect anomalies and plan operations using the twin.

05

Verify and validate the twin according to ECSS.

06

Scale the solution to satellite constellations.

07

Develop a digital twin of a real or academic satellite.

Profile

Who it's for

  • Satellite operations engineers.
  • Space simulation engineers.
  • Space data scientists working with telemetry.
  • Mission systems engineers.
  • Ground segment engineers.
  • AIT engineers.
  • Engineering or science graduates aiming to join the space industry.
Standards & tools

What you'll work with

  • ECSS-E-ST-70-41C (telemetry and telecommand packet utilisation (PUS))
  • CCSDS 133.0-B-2 (space packet protocol)
  • ECSS-E-TM-40-07 (simulation modelling platform (SMP2))
  • ECSS-E-ST-10-02C (space engineering verification)
  • ISO 23247-1:2021 (digital twin framework for manufacturing)
  • ECSS-E-ST-70C (ground systems and operations)
  • CCSDS 732.0-B-4 (AOS space data link protocol)
  • ESA SIMULUS
  • Systems Tool Kit (STK)
  • MATLAB/Simulink
  • Yamcs
  • Python
Syllabus

6 modules

  1. 1.1The twin concept in space systems
  2. 1.2Differences from aviation
  3. 1.3Twins in design, AIT and operations
  4. 1.4Mission operational simulators
  5. 1.5Cases at ESA and NASA
  6. 1.6Constellations and fleet management
  7. 1.7Value in autonomous operations
  8. 1.8Reference architectures
  9. 1.9Challenges of limited data in orbit
  10. 1.10Case study: an ESA operational simulator
  1. 2.1Orbital dynamics and attitude model
  2. 2.2Power model: solar panels and batteries
  3. 2.3Orbital thermal model
  4. 2.4Communications and link model
  5. 2.5Propulsion model
  6. 2.6Emulated on-board software
  7. 2.7SMP2 models for simulation
  8. 2.8Calibration with test data
  9. 2.9Reduced and real-time models
  10. 2.10Lab: power model of a CubeSat
  1. 3.1CCSDS telemetry packets
  2. 3.2PUS services
  3. 3.3Mission control systems
  4. 3.4Telemetry archive
  5. 3.5Data quality and gaps
  6. 3.6Time synchronisation
  7. 3.7Ingestion into the twin
  8. 3.8Link security
  9. 3.9Open data interfaces
  10. 3.10Practical exercise: decoding PUS telemetry
  1. 4.1Anomaly detection in telemetry
  2. 4.2Diagnosis of subsystem failures
  3. 4.3Degradation of batteries and panels
  4. 4.4Thermal prediction during eclipse
  5. 4.5Operations planning
  6. 4.6Validation of telecommands before uplink
  7. 4.7Manoeuvres and fuel consumption
  8. 4.8What-if scenarios
  9. 4.9On-board autonomy
  10. 4.10Workshop: anomaly detection with machine learning
  1. 5.1Twin requirements
  2. 5.2Model verification according to ECSS
  3. 5.3Validation with flight data
  4. 5.4Configuration management
  5. 5.5Cloud and ground architecture
  6. 5.6Ground segment cybersecurity
  7. 5.7Scaling to constellations
  8. 5.8Value indicators
  9. 5.9Technology roadmap
  10. 5.10Case study: twin of a LEO constellation
  1. 6.1Mission definition
  2. 6.2Architecture of the twin
  3. 6.3Subsystem models
  4. 6.4Telemetry flow
  5. 6.5Calibration and validation
  6. 6.6Analytics and scenarios
  7. 6.7Operations interface
  8. 6.8Implementation plan
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so the programme is compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ESA SIMULUS, Systems Tool Kit (STK), MATLAB/Simulink, Yamcs and Python, in free, academic or evaluation versions. Tests are studied on real procedures: a twin of the power subsystem of a CubeSat, anomaly detection in real telemetry and telecommand validation with a simulator. Assessment is continuous by module, plus the final integrating project.

Standards covered: ECSS-E-ST-70-41C, CCSDS 133.0-B-2, ECSS-E-TM-40-07, ECSS-E-ST-10-02C, ISO 23247-1:2021, ECSS-E-ST-70C, CCSDS 732.0-B-4.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ECSS-E-ST-70-41C, CCSDS 133.0-B-2 and ECSS-E-TM-40-07 applied to real cases, not as a theoretical annex.
Industry software:ESA SIMULUS, Systems Tool Kit (STK), MATLAB/Simulink, Yamcs, Python, in free, academic or evaluation versions.
Final project:a digital twin of a real or academic satellite, from subsystem models and telemetry flow to analytics and an operations interface, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Define the mission
Set out the satellite mission and the architecture of the twin.
Model the subsystems
Build models for orbit, attitude, power, thermal and communications.
Connect telemetry
Set up the telemetry flow and calibrate and validate the twin.
Analyse and plan
Run anomaly detection, what-if scenarios and an operations interface.
Final project
Document the twin and its implementation plan and present it for review by your tutor.
Career opportunities

Where this takes you

Satellite operations engineerSpace simulation engineerSpace data scientistMission systems engineerGround segment engineerAIT engineer
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • Internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with ESA SIMULUS, Systems Tool Kit (STK), MATLAB/Simulink, Yamcs, Python, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

No prior qualification is required; you need an internet connection, a computer capable of running the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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