Programme overview
Organise, process and interpret spatial and temporal data through programming, statistics and geographic information systems. Connect observation data with dynamic regional or infrastructure models. Advanced study develops multi-source fusion, spatiotemporal analysis, data quality, calibration and continuous model updates.
ESAS Paris — Paris College of Aeronautics and Space. Duration: 3 years.
Bachelor study progresses from foundations and guided exercises to integrated applied projects.
Study pathways
Spatial data fusion; geographic information analysis; regional-system digital twins. All pathways share a common core. Indicate your preferred pathway when applying; actual availability is confirmed before admission.
Learning outcomes
• Develop spatial foundations skills in coordinates, maps and spatial relationships, explaining methods, evidence and limitations.
• Develop spatial data skills in databases, formats and metadata, explaining methods, evidence and limitations.
• Develop gis analysis skills in spatial queries, networks and statistics, explaining methods, evidence and limitations.
• Develop data fusion skills in remote sensing, ground observations and operational information, explaining methods, evidence and limitations.
• Develop system modelling skills in dynamic behaviour, connections and validation, explaining methods, evidence and limitations.
• Develop practical project skills in regional digital twins or spatial analysis, explaining methods, evidence and limitations.
Learning content and competency modules
| Module | Learning content | Assessment evidence |
| Spatial foundations | Coordinates, maps and spatial relationships | Problem definition and reasoned analysis |
| Spatial data | Databases, formats and metadata | Reproducible case or model documentation |
| GIS analysis | Spatial queries, networks and statistics | Quality and traceability records |
| Data fusion | Remote sensing, ground observations and operational information | Comparison of options and testing evidence |
| System modelling | Dynamic behaviour, connections and validation | Project plan and collaboration records |
| Practical project | Regional digital twins or spatial analysis | Integrated report and oral defence |
Study progression
• Year 1: develop foundations, reading, analytical communication and guided cases.
• Year 2: deepen specialist methods through pathway projects and evaluation of results.
• Year 3: integrate methods in a final applied project, portfolio and oral defence.
Projects and practice
Model a regional water or transport infrastructure system and validate changes against observations.
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 secondary education or equivalent study. 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
GIS analysis assistant; spatial data processing; regional modelling support. 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.