Master’s in Routes, Terrain and Geospatial Intelligence for Land Operations Engineering
Online master's programme of 1,900 hours in routes, terrain and geointelligence engineering for land operations: 12 modules covering geointelligence, cartography and geodesy, optical, radar and LiDAR remote sensing, terrain analysis, route planning, geospatial databases, geospatial AI, photogrammetry with drones and geospatial products, with an assigned technical tutor.
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Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Apply the geointelligence production cycle.
Use reference systems and official cartography.
Process optical and radar satellite imagery.
Analyse terrain for mobility and visibility.
Plan optimal routes through network analysis.
Apply artificial intelligence to geospatial data.
Generate geospatial products in line with the regulations.
Who it's for
- Geointelligence analysts.
- Remote sensing engineers.
- GIS specialists.
- Photogrammetrists.
- Geospatial data scientists.
- Logistics planners.
- Engineering or science graduates aiming to work in defence and security.
What you'll work with
- Directive 2007/2/EC (INSPIRE) (infrastructure for spatial information in the EU)
- ISO 19115 (geographic information metadata)
- ISO 19157 (geographic information data quality)
- OGC WMS 1.3.0 (web map service)
- Regulation (EU) 2016/679 (General Data Protection Regulation, GDPR)
- STANAG 2211 (geodetic datums, projections, grids and grid references)
- Commission Implementing Regulation (EU) 2019/947 (operation of unmanned aircraft)
- QGIS
- Google Earth Engine
- SNAP
- PostGIS
- WebODM
12 modules · 1900 h
1.1The concept of geointelligence (GEOINT)1.2The geospatial production cycle1.3Sources: satellite, airborne and ground1.4Civil applications: emergencies and planning1.5INSPIRE spatial data infrastructures1.6Bodies and programmes: Copernicus and SatCen1.7Ethics and privacy of geospatial data1.8Legal framework for remote sensing1.9Professional profiles1.10Case study: geointelligence in a flood response
2.1ETRS89 and WGS84 reference systems2.2Map projections and UTM2.3The MGRS system2.4Geoid models2.5Positional accuracy2.6Scales and generalisation2.7Cartographic symbology2.8Official and military cartography2.9ISO 19115 metadata2.10Practical: coordinate system transformation with PROJ
3.1Principles of remote sensing3.2Multispectral sensors: Sentinel-2 and Landsat3.3Very high resolution imagery3.4Radiometric and atmospheric corrections3.5Spectral indices3.6Supervised classification3.7Change detection3.8Photo-interpretation3.9Time series3.10Lab: land cover classification with Google Earth Engine
4.1Synthetic aperture radar4.2Sentinel-1 and SAR missions4.3InSAR interferometry4.4Change detection with SAR4.5Airborne LiDAR4.6Digital surface and terrain models4.7Point cloud classification4.8SAR-optical fusion4.9Terrain applications4.10Practical: flood map with Sentinel-1 in SNAP
5.1Digital elevation models5.2Slope, aspect and roughness5.3Hydrological analysis5.4Visibility analysis5.5Vegetation cover and trafficability5.6Soils and bearing capacity5.7Natural obstacles5.8Climate and seasonality5.9Terrain analysis products5.10Workshop: visibility analysis with QGIS
6.1Graph and network theory6.2Shortest-path algorithms6.3Cost-distance analysis6.4Multi-criteria routing6.5Route capacity and bottlenecks6.6Logistics convoy planning6.7Evacuation routes6.8Off-road routing6.9Dynamic updating6.10Lab: optimal routes with pgRouting
7.1Vector and raster data models7.2PostgreSQL and PostGIS7.3Spatial queries7.4OGC standards: WMS, WFS and WCS7.5GeoServer map servers7.6Data quality7.7Integration of sources7.8Geospatial big data7.9Data governance7.10Practical: infrastructure database in PostGIS
8.1Deep learning on imagery8.2Object detection in satellite imagery8.3Semantic segmentation8.4Automatic change detection8.5Labelled datasets8.6Geospatial foundation models8.7Explainability and bias8.8Model validation8.9Cloud deployment8.10Lab: road segmentation with PyTorch
9.1Principles of photogrammetry9.2Photogrammetric drone flights9.3Structure from motion9.4Orthomosaics and 3D models9.5Ground control points and accuracy9.6Drone flight regulations9.7Processing with commercial and open-source software9.8Products for engineering9.9Management of large data volumes9.10Practical: orthomosaic with WebODM
10.1Thematic maps and products10.2Geospatial dashboards10.33D visualisation and digital twins10.4Emergency products: Copernicus EMS10.5Secure dissemination10.6Product quality standards10.7Communication with the user10.8Archiving and preservation10.9Data licences10.10Case study: damage assessment product
11.1INSPIRE Directive11.2Copernicus data policy11.3Protection of personal data in imagery11.4High-resolution restrictions11.5Dual use of geoinformation11.6Ethics of satellite surveillance11.7Geospatial project management11.8Procurement of services11.9Sector trends11.10Workshop: analysis of geospatial data licences
12.1Definition of the geospatial problem12.2Selection of data sources12.3Processing and analysis12.4Terrain analysis12.5Route planning12.6Geointelligence products12.7Ethical and legal assessment12.8Conclusions and future work12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training 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 you can combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is QGIS, Google Earth Engine, SNAP, PostGIS and WebODM, in free, academic or evaluation versions. Testing is studied through real procedures for satellite image classification, optimal route planning over networks and orthomosaic production with drones. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Directive 2007/2/EC (INSPIRE), ISO 19115, ISO 19157, OGC WMS 1.3.0, Regulation (EU) 2016/679, STANAG 2211, Commission Implementing Regulation (EU) 2019/947.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer able to run 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.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with QGIS, Google Earth Engine, SNAP, PostGIS and WebODM, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the 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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