Programme overview
Explore civil aviation systems through mathematics, physics and engineering. Learn system functions, interfaces and operational analysis using models, data connections and simulation projects. Advanced study develops architecture, coupled models, reliability and digital twins to evaluate complex operational scenarios and clearly defined engineering options.
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
Civil aviation systems; aviation energy systems; condition monitoring and maintenance. All pathways share a common core. Indicate your preferred pathway when applying; actual availability is confirmed before admission.
Learning outcomes
• Develop system architecture skills in requirements, interfaces and constraints, explaining methods, evidence and limitations.
• Develop coupled modelling skills in power, thermal and environmental systems, explaining methods, evidence and limitations.
• Develop reliability analysis skills in anomalies, degradation and maintenance scenarios, explaining methods, evidence and limitations.
• Develop validation framework skills in testing, error and uncertainty, explaining methods, evidence and limitations.
• Develop digital operations skills in data synchronisation, monitoring and improvement, explaining methods, evidence and limitations.
• Develop engineering research skills in an integrated digital-twin design and validation, explaining methods, evidence and limitations.
Learning content and competency modules
| Module | Learning content | Assessment evidence |
| System architecture | Requirements, interfaces and constraints | Problem definition and reasoned analysis |
| Coupled modelling | Power, thermal and environmental systems | Reproducible case or model documentation |
| Reliability analysis | Anomalies, degradation and maintenance scenarios | Quality and traceability records |
| Validation framework | Testing, error and uncertainty | Comparison of options and testing evidence |
| Digital operations | Data synchronisation, monitoring and improvement | Project plan and collaboration records |
| Engineering research | An integrated digital-twin design and validation | 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
Develop subsystem digital-twin requirements, models, data connections, validation and maintenance analysis.
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
Aviation systems simulation; digital engineering projects; maintenance data research. 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.