Postgraduate Diploma in Advanced GIS for Risk Assessment
Online 800 h Postgraduate Diploma in Advanced GIS for Risk Assessment. 8 modules covering Directive 2007/2/CE (INSPIRE), Law 14/2010 (spatial data infrastructures and geographic information services in Spain) and QGIS. Assigned tutor and open enrolment.
Postgraduate Diploma in Advanced GIS for Risk Assessment — studying from New Zealand
New Zealand's insurance and financial services sector is concentrated in Auckland and Wellington, with a strong focus on general insurance, life insurance and risk management. Natural hazard risk, particularly from earthquakes, is a major consideration, and the Earthquake Commission provides residential natural disaster cover. Actuarial and risk data professionals work for insurers, reinsurers, regulators and consultancies, with oversight from the Reserve Bank of New Zealand and the Financial Markets Authority.
Fees for New Zealand: NZ$1,770 (New Zealand dollar), with instalments and employer sponsorship available.
Relevant bodies in New Zealand
Typical roles
Questions from New Zealand
Which New Zealand bodies recognise actuarial and risk qualifications?
The Actuarial Society of New Zealand and the New Zealand Institute of Actuaries work alongside international bodies such as the Institute and Faculty of Actuaries. Membership and professional credentials in these fields are set by those bodies, not by private providers. SEIUM's qualifications are private and not accredited by any national body, so their standing depends on how your employer or the relevant body assesses them.
Do insurers and financial firms in New Zealand hire people with data and risk skills?
New Zealand's insurance, banking and government sectors do employ people in risk, pricing and data analysis, and the Reserve Bank and insurers both draw on these skills. Hiring usually depends on demonstrated technical ability and professional credentials. A SEIUM qualification can support your application, but whether it is valued is up to each employer.
How is the programme delivered and paid for?
The programme is 100% online and taught in English, so no student visa is needed to study from New Zealand. You are assigned a technical tutor and complete a final project. Fees are payable in instalments, and employer sponsorship is possible. Time commitment varies by programme, from 300 hours for specialist courses to 1,900 hours for master's programmes.
Take the controls.
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
Manage geographic information systems applied to risk.
Apply advanced spatial analysis techniques.
Integrate natural hazard maps from official sources.
Assess the exposure and vulnerability of georeferenced portfolios.
Connect GIS analysis with catastrophe models.
Automate geospatial processes through programming.
Develop a geospatial risk assessment applied to an insurer.
Who it's for
- GIS risk analyst looking to specialise in Advanced GIS for Risk Assessment.
- Natural hazards engineer looking to specialise in Advanced GIS for Risk Assessment.
- Exposure analyst looking to specialise in Advanced GIS for Risk Assessment.
- Geospatial data scientist looking to specialise in Advanced GIS for Risk Assessment.
- Catastrophe modeller looking to specialise in Advanced GIS for Risk Assessment.
- Property underwriting technician looking to specialise in Advanced GIS for Risk Assessment.
- Graduates in engineering or sciences seeking to join insurance companies.
What you'll work with
- Directive 2007/2/CE (INSPIRE)
- Law 14/2010 (Infrastructures and Geographic Information Services in Spain)
- ISO 19115 (geographic metadata)
- Directive 2007/60/EC (Flood Risks)
- NCSE-02 earthquake-resistant construction standard
- OGC WMS and WFS standards
- Sendai framework for disaster risk reduction
8 modules · 800 h
1.1Vector and raster data models1.2Reference systems and projections1.3ETRS89 and the UTM grid in Spain1.4Formats: GeoPackage, Shapefile and GeoTIFF1.5Spatial databases with PostGIS1.6Spatial data infrastructures and INSPIRE1.7Official sources: IGN, Catastro and Copernicus1.8Metadata and geographic information quality1.9QGIS and ArcGIS Pro as working environments1.10Practical: GIS project with cadastral mapping
2.1Geoprocessing: buffers, intersections and unions2.2Network analysis and accessibility2.3Interpolation: IDW and kriging2.4Spatial autocorrelation and Moran's index2.5Hot-spot detection with Getis-Ord2.6Zonal statistics and map algebra2.7Digital terrain models and slopes2.8Weighted multi-criteria analysis2.9Geocoding and its accuracy2.10Lab: claims concentration map
3.1Hazard, exposure and vulnerability3.2Flood-zone mapping and the SNCZI3.3Return periods and design flows3.4Seismic risk and the NCSE-02 standard3.5Wildfires and the wildland–urban interface3.6Wind, hail and convective storms3.7Subsidence and landslides3.8Coastal erosion and sea-level rise3.9Regionalised climate scenarios3.10Workshop: flood hazard map for a municipality
4.1Insured exposure databases4.2Building construction attributes4.3Vulnerability functions and damage curves4.4Property valuation and sums insured4.5Risk accumulation by zone4.6Occupancy and land-use data4.7Exposure of critical infrastructure4.8Building footprints and open data4.9Uncertainty in exposure4.10Practical: calculating accumulations in a home portfolio
5.1Structure of a Catastrophe Model5.2Hazard, Vulnerability and Financial Modules5.3Stochastic Event Catalogs5.4Exceedance Curves and Average Annual Loss5.5Commercial and Open-Source Models Such as Oasis LMF5.6Catastrophe Risk Under Solvency II5.7The Insurance Compensation Consortium5.8Validation against historical claims5.9Communicating results to the business5.10Lab: Running a Flood Model
6.1Python with GeoPandas and Shapely6.2Rasterio and raster processing6.3Large-scale analysis with Google Earth Engine6.4Spatial queries in SQL6.5Spatial indexes: H3 and geohash6.6Automating geoprocessing workflows6.7Visualisation with Kepler.gl and Folium6.8Web services: WMS, WFS and OGC API6.9Performance with large datasets6.10Practical: risk scoring script by address
7.1Underwriting with geographic information7.2Tariff zoning7.3Portfolio management and risk appetite7.4Early warnings for events7.5Deploying loss adjusters after catastrophes7.6Prevention and recommendations to policyholders7.7Reinsurance and accumulation structure7.8Geospatial dashboards7.9Data protection and geolocation7.10Case study: response to a hail event
8.1Definition of the hazard and portfolio8.2Collection of geographic data8.3Preparation of the exposure8.4Hazard modelling8.5Application of damage functions8.6Loss and accumulation estimation8.7Underwriting recommendations8.8Visualisation of results8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is QGIS, ArcGIS Pro, PostGIS, Python (GeoPandas, rasterio), Google Earth Engine, in free, academic or evaluation versions. Case studies are based on real procedures for overlaying exposures with hazard maps, spatial analysis of risk accumulations, and use of Copernicus data for recent events. Assessment is continuous by module plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Manage geographic information systems applied to risk.
Apply advanced spatial analysis techniques.
Integrate natural hazard maps from official sources.
Assess the exposure and vulnerability of georeferenced portfolios.
Connect GIS analysis with catastrophe models.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulatory reading.
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 800 hours, spread over 6 to 8 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
We work with QGIS, ArcGIS Pro, PostGIS, Python (GeoPandas, rasterio), Google Earth Engine. Free, academic or evaluation versions are used, and the tutor indicates the free alternative wherever one exists.
An SEIUM Institute diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the higher programme. Please check the credit recognition policy when you enrol.
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