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Postgraduate Diploma in Geospatial Data Integration in Actuarial Pricing

Online 800-hour Postgraduate Diploma in Geospatial Data Integration in Actuarial Pricing. 8 modules covering Delegated Regulation (EU) 2017/2358 (insurance product governance), Directive 2004/113/CE (equal treatment in goods and services) and R (sf, mgcv). Assigned tutor and open enrolment.

Duration800 h
ModeOnline
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Explain the role of geography in actuarial pricing.

02

Build geospatial variables from open and proprietary sources.

03

Apply spatial statistics and smoothing techniques.

04

Integrate geographic variables into generalised linear models.

05

Incorporate catastrophe risk into the tariff structure.

06

Implement and maintain a geographic tariff in production.

07

Assess the compliance and fairness of zoning.

Profile

Who it's for

  • Pricing actuary looking to specialise in Geospatial Data Integration in Actuarial Pricing.
  • Geospatial data scientist looking to specialise in Geospatial Data Integration in Actuarial Pricing.
  • Pricing analyst looking to specialise in Geospatial Data Integration in Actuarial Pricing.
  • Home and commercial tariff manager looking to specialise in Geospatial Data Integration in Actuarial Pricing.
  • Actuarial consultant looking to specialise in Geospatial Data Integration in Actuarial Pricing.
  • Catastrophe risk analyst looking to specialise in Geospatial Data Integration in Actuarial Pricing.
  • Engineering or science graduates seeking to join insurance companies.
Standards & tools

What you'll work with

  • Delegated Regulation (EU) 2017/2358 (insurance product governance)
  • Directive 2004/113/CE (equal treatment in goods and services)
  • Law 15/2022 on equal treatment and non-discrimination
  • ASOP No. 12 (risk classification)
  • Directive 2007/2/CE (INSPIRE)
  • Regulation (EU) 2016/679 (GDPR)
  • Royal Decree 300/2004 (extraordinary risk insurance)
Syllabus

8 modules · 800 h

  1. 1.1Structure of the risk premium
  2. 1.2Frequency and severity by territory
  3. 1.3Traditional postcode-based zoning
  4. 1.4Limitations of administrative zones
  5. 1.5Geographic adverse selection risk
  6. 1.6Regulations on rating factors
  7. 1.7Internal policy and claims data
  8. 1.8Geocoding the portfolio
  9. 1.9Address quality and accuracy
  10. 1.10Case study: auditing a tariff's zoning
  1. 2.1Distance to rivers, coastline and flood zones
  2. 2.2Altitude, slope and aspect
  3. 2.3Population density and urbanisation
  4. 2.4Crime and theft by area
  5. 2.5Traffic, road network and claims frequency
  6. 2.6Cadastral data for buildings
  7. 2.7Climate and meteorological variables
  8. 2.8Socioeconomic data from the INE
  9. 2.9Points of interest and proximity
  10. 2.10Workshop: creating variables for a home portfolio
  1. 3.1Spatial dependence in insurance data
  2. 3.2Global and local autocorrelation
  3. 3.3Semivariograms and kriging
  4. 3.4Bayesian spatial smoothing
  5. 3.5CAR and BYM models
  6. 3.6Spatial random effects
  7. 3.7Exposure adjustment and credibility
  8. 3.8H3 grids and units of analysis
  9. 3.9The modifiable areal unit problem
  10. 3.10Laboratory: smoothing frequencies with a BYM model
  1. 4.1Poisson and negative binomial GLMs for frequency
  2. 4.2Severity with gamma and Tweedie models
  3. 4.3Geographic variables in GLMs
  4. 4.4Generalised additive models with spatial splines
  5. 4.5Gradient boosting with coordinates
  6. 4.6Interactions between territory and product
  7. 4.7Variable selection and overfitting
  8. 4.8Spatial cross-validation
  9. 4.9Model comparison and lift
  10. 4.10Practice: GLM with smoothed zones
  1. 5.1Catastrophe Loading in the Premium
  2. 5.2Outputs of Catastrophe Models
  3. 5.3Expected annual loss by location
  4. 5.4The Surcharge Compensation Consortium
  5. 5.5Cost of Capital and Reinsurance
  6. 5.6Climate Risk and Trends
  7. 5.7Climate Change Scenarios in Tariffs
  8. 5.8Affordability and Protection Gap
  9. 5.9Interaction with underwriting policies
  10. 5.10Case Study: Flood Technical Premium by Building
  1. 6.1From technical model to commercial tariff
  2. 6.2Market constraints and elasticity
  3. 6.3Smoothing portfolio changes
  4. 6.4Fairness and non-discrimination
  5. 6.5Explainability for supervisors and customers
  6. 6.6Integration into quoting engines
  7. 6.7Testing and version control
  8. 6.8Post-implementation monitoring
  9. 6.9Governance of pricing models
  10. 6.10Practice: impact of the new zoning on the portfolio
  1. 7.1Python with GeoPandas and scikit-learn
  2. 7.2R with sf, INLA and mgcv
  3. 7.3PostGIS databases
  4. 7.4Open data from Copernicus and IGN
  5. 7.5Commercial risk data providers
  6. 7.6Distributed processing of geospatial data
  7. 7.7Visualising tariffs on maps
  8. 7.8Reproducibility of the actuarial workflow
  9. 7.9Protection of location data
  10. 7.10Laboratory: a reproducible pipeline for geographic variables
  1. 8.1Defining the product and portfolio
  2. 8.2Geocoding and enrichment
  3. 8.3Exploratory spatial analysis
  4. 8.4Building the zoning
  5. 8.5Fitting the pricing model
  6. 8.6Validation and comparison
  7. 8.7Customer impact analysis
  8. 8.8Implementation proposal
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

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: students progress at their own pace within the intake, which makes it possible to combine study with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is R (sf, mgcv), Python (GeoPandas, PySAL), WTW Emblem, QGIS, Akur8, in free, academic or evaluation versions. Case studies are based on real procedures: geographic zoning of a home tariff, spatial smoothing models for residuals, and the incorporation of catastrophe variables into the premium. Assessment is continuous across modules, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-focused Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:faculty with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, with cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Defining the product and portfolio

Explain the role of geography in actuarial pricing.

Geocoding and enrichment

Build geospatial variables from open and proprietary sources.

Exploratory spatial analysis

Apply spatial statistics and smoothing techniques.

Building the zoning

Integrate geographic variables into generalised linear models.

Fitting the pricing model

Incorporate catastrophe risk into the tariff structure.

Career opportunities

Where this takes you

Pricing actuaryGeospatial data scientistPricing analystHome and commercial tariff managerActuarial consultantCatastrophe risk analyst
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory texts.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 800 hours, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You will work with R (sf, mgcv), Python (GeoPandas, PySAL), WTW Emblem, QGIS, Akur8. Free, academic or evaluation versions are used, and the tutor will indicate the open-source alternative where one exists.

A SEIUM diploma on successful completion of continuous assessment and the integrating project. It is SEIUM's own training, not an official qualification issued by the Ministry.

Yes. Modules passed in a course or diploma in the same area can be recognised towards the advanced programme. Check the recognition policy when you enrol.

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