Master'sInsurance, Risk & Actuarial Data Applications open

Master’s in Catastrophes, Climate & Environment Engineering

Online master's programme of 1,900 hours in Catastrophe, Climate & Environmental Engineering, structured in 12 modules covering climate science, natural hazards, vulnerability and exposure, catastrophe cover schemes, catastrophe modelling, portfolio climate risk, environmental risk, adaptation, risk transfer, sustainable finance disclosure and catastrophe event management, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Interpret climate science and its scenarios for insurance.

02

Analyse natural hazards, exposure and vulnerability.

03

Build and apply catastrophe models.

04

Assess physical and transition climate risk in portfolios.

05

Analyse environmental risks and liabilities.

06

Design adaptation and risk transfer strategies.

07

Prepare climate disclosures in line with current frameworks.

Profile

Who it's for

  • Catastrophe risk analysts in insurance and reinsurance.
  • Climate risk specialists.
  • Catastrophe modellers.
  • Climate adaptation consultants.
  • ESG analysts in insurance.
  • Environmental risk officers in industry and public administration.
  • Engineering or science graduates aiming to enter insurance and reinsurance.
Standards & tools

What you'll work with

  • Royal Legislative Decree 7/2004 (Legal Statute of the Consorcio de Compensación de Seguros)
  • Directive 2007/60/EC (assessment and management of flood risks)
  • Law 26/2007 (Spanish Environmental Liability Law)
  • ISO 14090:2019 (adaptation to climate change)
  • Directive (EU) 2022/2464 (Corporate Sustainability Reporting Directive, CSRD)
  • IFRS S2 (climate-related disclosures)
  • Regulation (EU) 2020/852 (Taxonomy Regulation)
  • Sendai Framework for Disaster Risk Reduction 2015-2030
  • OpenQuake
  • Oasis LMF
  • CLIMADA
  • QGIS
  • Python (xarray)
Syllabus

12 modules · 1900 h

  1. 1.1The climate system and energy balance
  2. 1.2Natural variability: ENSO and NAO
  3. 1.3IPCC SSP and RCP scenarios
  4. 1.4Global and regional climate models
  5. 1.5Attribution of extreme events
  6. 1.6Trends in temperature and precipitation extremes
  7. 1.7Sea-level rise
  8. 1.8Uncertainty in projections
  9. 1.9Copernicus climate services
  10. 1.10Workshop: analysis of regional precipitation projections
  1. 2.1Earthquakes and seismic hazard
  2. 2.2River and pluvial flooding
  3. 2.3Coastal flooding and storms
  4. 2.4Tropical cyclones and windstorms
  5. 2.5Hail and convective storms
  6. 2.6Wildfires
  7. 2.7Drought
  8. 2.8Landslides and subsidence
  9. 2.9Volcanoes
  10. 2.10Case study: multi-hazard profile of a region
  1. 3.1Vulnerability curves
  2. 3.2Building typologies
  3. 3.3Building codes and Eurocodes
  4. 3.4Infrastructure vulnerability
  5. 3.5Agricultural vulnerability
  6. 3.6Exposure data and quality
  7. 3.7Replacement valuation
  8. 3.8Business interruption
  9. 3.9Social vulnerability
  10. 3.10Practical exercise: flood damage curve for housing
  1. 4.1Consorcio de Compensación de Seguros
  2. 4.2Extraordinary risks in Spain
  3. 4.3International public schemes
  4. 4.4Catastrophe pools
  5. 4.5The protection gap
  6. 4.6Agricultural insurance
  7. 4.7EU Solidarity Fund
  8. 4.8Public-private partnerships
  9. 4.9Climate microinsurance
  10. 4.10Case study: comparison of national catastrophe schemes
  1. 5.1Structure of a catastrophe model
  2. 5.2Stochastic event catalogues
  3. 5.3Hazard module
  4. 5.4Vulnerability module
  5. 5.5Financial module
  6. 5.6Exceedance curves
  7. 5.7Average annual loss and PML
  8. 5.8Primary and secondary uncertainty
  9. 5.9Open-source models
  10. 5.10Lab: EP curve with OpenQuake
  1. 6.1Acute and chronic physical risk
  2. 6.2Transition risk
  3. 6.3Climate litigation risk
  4. 6.4Climate scenario analysis
  5. 6.5EIOPA climate stress tests
  6. 6.6NGFS scenarios
  7. 6.7Climate risk in the ORSA
  8. 6.8Impact on underwriting and investments
  9. 6.9Climate exposure indicators
  10. 6.10Practical exercise: climate stress test of a home insurance portfolio
  1. 7.1Environmental liability
  2. 7.2Soil and water contamination
  3. 7.3Environmental risk analysis
  4. 7.4Mandatory financial guarantees
  5. 7.5Major industrial accidents
  6. 7.6Biodiversity and natural capital
  7. 7.7Supply chain risks
  8. 7.8Pollution insurance
  9. 7.9Restoration and remediation of damage
  10. 7.10Case study: environmental risk analysis of a chemical plant
  1. 8.1Climate change adaptation according to ISO 14090
  2. 8.2Vulnerability assessment according to ISO 14091
  3. 8.3Structural and non-structural measures
  4. 8.4Nature-based solutions
  5. 8.5Flood risk management plans
  6. 8.6Early warning systems
  7. 8.7Building resilience
  8. 8.8Insurance incentives for prevention
  9. 8.9Cost-benefit analysis of adaptation
  10. 8.10Workshop: adaptation plan for an industrial estate
  1. 9.1Catastrophe reinsurance
  2. 9.2Excess of loss programmes
  3. 9.3Parametric insurance
  4. 9.4Catastrophe bonds
  5. 9.5Basis risk
  6. 9.6Sovereign catastrophe funds
  7. 9.7Risk financing instruments
  8. 9.8Capital markets and climate risk
  9. 9.9Cost of capital
  10. 9.10Practical exercise: designing a catastrophe reinsurance programme
  1. 10.1TCFD recommendations
  2. 10.2IFRS S1 and S2 standards
  3. 10.3CSRD Directive and ESRS
  4. 10.4Taxonomy Regulation
  5. 10.5SFDR Regulation
  6. 10.6Climate disclosure by insurers
  7. 10.7Net zero commitments in insurance
  8. 10.8Greenwashing and regulatory risks
  9. 10.9ESG indicators
  10. 10.10Case study: climate report of an insurer
  1. 11.1Event preparedness
  2. 11.2Activation of response plans
  3. 11.3Early loss estimation
  4. 11.4Mass claims handling
  5. 11.5Remote loss adjustment
  6. 11.6Communication with policyholders
  7. 11.7Coordination with emergency services
  8. 11.8Reserving after catastrophes
  9. 11.9Lessons learned
  10. 11.10Practical exercise: response plan for a DANA (cut-off low) event
  1. 12.1Selection of the hazard and region
  2. 12.2Review of climate data
  3. 12.3Exposure and vulnerability analysis
  4. 12.4Loss modelling
  5. 12.5Climate scenario analysis
  6. 12.6Adaptation or transfer proposal
  7. 12.7Regulatory implications
  8. 12.8Conclusions
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within the intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is OpenQuake, Oasis LMF, CLIMADA, QGIS and Python (xarray), in free, academic or evaluation versions. Testing is studied through real procedures: catastrophe loss modelling for insured portfolios, climate stress tests and environmental risk analysis of industrial facilities. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Royal Legislative Decree 7/2004, Directive 2007/60/EC, Law 26/2007, ISO 14090:2019, Directive (EU) 2022/2464 (CSRD), IFRS S2, Regulation (EU) 2020/852 and the Sendai Framework 2015-2030.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Royal Legislative Decree 7/2004, Directive 2007/60/EC and Law 26/2007 applied to real cases, not as a theoretical annex.
Industry software:OpenQuake, Oasis LMF, CLIMADA, QGIS and Python (xarray), in free, academic or evaluation versions.
Master's Thesis with defence:A catastrophe and climate risk project with loss modelling, climate scenario analysis and an adaptation or transfer proposal, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

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

Hazard and climate data
Select a hazard and region and review its climate data and projections.
Exposure and vulnerability
Analyse exposure and build damage curves for the insured assets.
Loss modelling
Model losses and produce an EP curve, AAL and PML under climate scenarios.
Adaptation or transfer
Propose an adaptation plan or a catastrophe reinsurance programme.
Master's Thesis
Catastrophe and climate risk project with regulatory implications, defended before a panel.
Career opportunities

Where this takes you

Catastrophe risk analystClimate risk specialistCatastrophe modellerClimate adaptation consultantESG analyst in insuranceEnvironmental risk officer
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • An internet connection and a computer capable of running the programme's 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.

FAQ

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 OpenQuake, Oasis LMF, CLIMADA, QGIS and Python (xarray), 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 university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme's 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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