Programme overview
Study scientific satellites and civilian space missions, including the space environment, mission requirements, power, thermal control, payloads and data systems. Public information, synthetic data and educational models support system simulation and condition analysis. Advanced study integrates mission needs, coupled models, operational data and validation.
ESAS Paris — Paris College of Aeronautics and Space. Duration: 2 years.
Master study builds on relevant undergraduate foundations, with advanced methods, complex cases and independent research or applied projects.
Study pathways
Scientific satellites; payload operations; space-system monitoring. All pathways share a common core. Indicate your preferred pathway when applying; actual availability is confirmed before admission.
Learning outcomes
• Develop mission and architecture skills in scientific objectives, requirements and interfaces, explaining methods, evidence and limitations.
• Develop multi-system models skills in coupled power, thermal and payload models, explaining methods, evidence and limitations.
• Develop operational analysis skills in scenarios, constraints and uncertainty, explaining methods, evidence and limitations.
• Develop validation methods skills in consistency, calibration and testing, explaining methods, evidence and limitations.
• Develop connections and maintenance skills in data synchronisation, monitoring and version control, explaining methods, evidence and limitations.
• Develop research project skills in system digital twins and operational improvement, explaining methods, evidence and limitations.
Learning content and competency modules
| Module | Learning content | Assessment evidence |
| Mission and architecture | Scientific objectives, requirements and interfaces | Problem definition and reasoned analysis |
| Multi-system models | Coupled power, thermal and payload models | Reproducible case or model documentation |
| Operational analysis | Scenarios, constraints and uncertainty | Quality and traceability records |
| Validation methods | Consistency, calibration and testing | Comparison of options and testing evidence |
| Connections and maintenance | Data synchronisation, monitoring and version control | Project plan and collaboration records |
| Research project | System digital twins and operational improvement | Integrated report and oral defence |
Study progression
• Year 1: deepen specialist methods, undertake literature or case research and define an independent project.
• Year 2: complete a research or applied project, evaluate methods and outcomes, and submit a final report and oral defence.
Projects and practice
Design a scientific-mission digital twin with multi-model integration, operational analysis and validation.
Document the problem, working process, personal contribution, validation evidence and limitations. Individual contributions are assessed within team projects. Placements and external projects depend on actual arrangements.
Teaching and assessment
Theory, computational laboratories, system simulations, data workshops and project reviews use public, synthetic or authorised information. The programme focuses on scientific and civilian applications.
Assignments, case or laboratory work, staged projects and the final defence assess accuracy, methods, evidence quality, practical reliability and communication. Assessment weightings, reassessment and extension rules are published before teaching begins. Moodle may support resources, assignments, quizzes and feedback; specialist practical activities are assessed separately.
Entry requirements
Provide evidence of relevant undergraduate study or equivalent experience. Bachelor applicants should demonstrate mathematics and physics foundations. Master applicants should explain relevant engineering, computing, geography or scientific study. Requirements are assessed against the chosen programme.
Submit education evidence, transcripts, a CV, a motivation statement and any requested project materials. Teaching language, language evidence and document-translation requirements are published for the intake. Website language does not determine teaching language.
Completion and award documentation
Complete the required modules and assessments, final project and oral defence, and the published practice and academic-integrity requirements. The exact award title, awarding institution, nature and recognition scope are specified in programme information and the study agreement before formal admission.
Career development
Space-system simulation; scientific satellite operational analysis; digital engineering projects. Employment depends on individual skills, experience and employer requirements. Regulated work requires the applicable qualifications and authorisations. Further study is assessed by the receiving institution.