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Diploma in Resilience Strategies for Critical Infrastructure

Online postgraduate diploma of 800 hours in resilience strategies for critical infrastructure. 8 modules covering critical infrastructure resilience, the resilience regulatory framework, risk and vulnerability assessment, natural catastrophe and climate resilience, cyber, OT and interdependency risk, business continuity, risk financing and insurance, and an integrative case study, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor

Diploma in Resilience Strategies for Critical Infrastructure — studying from Australia

Australia has a mature insurance and superannuation sector, with major insurers, reinsurers and financial institutions relying heavily on actuarial analysis and risk modelling. Engineers and data specialists contribute to catastrophe modelling, telematics-based pricing and claims analytics, particularly given the country's exposure to bushfire, flood and cyclone risk. The regulatory environment is shaped by prudential oversight and consumer protection frameworks. Employers include general and life insurers, consultancies, reinsurance firms and government risk agencies.

Fees for Australia: A$2,850 (AUD), with instalments and employer sponsorship available.

Relevant bodies in Australia

  • Australian Prudential Regulation Authority (APRA)
  • Australian Securities and Investments Commission (ASIC)
  • Institute of Actuaries of Australia (IAA)
  • Insurance Council of Australia (ICA)

Typical roles

  • Actuarial Analyst
  • Risk Data Scientist
  • Catastrophe Modeller
  • Insurance Analytics Engineer

Questions from Australia

Does this programme lead to recognition by the Actuaries Institute or another Australian professional body?

SEIUM qualifications are private and are not accredited by the Actuaries Institute, Engineers Australia or any national body. The Actuaries Institute sets its own examination and membership requirements, which a private qualification does not replace. Recognition for any role is decided by the employer or the relevant body, so confirm their requirements before enrolling.

Which Australian insurers and risk employers might consider this training?

Insurers, reinsurers, banks, consultancies and risk management teams in Australia employ people with data and risk skills. Whether they consider a private engineering qualification relevant depends on the role and their own hiring policy. Your demonstrated skills, portfolio and final project are often what matter most to them.

Is the course manageable while working, and can my employer fund it?

Yes, the programmes are delivered entirely online in English, with an assigned technical tutor, so you can fit study around work from Australia. Fees can be paid in instalments, and employer sponsorship is possible. Check the total hours for your chosen programme and agree a realistic weekly schedule before you start.

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Learning outcomes

What you will be able to do

01

Understand resilience concepts and the role of insurance.

02

Apply CER, NIS2 and ISO 22301 requirements.

03

Assess vulnerability and estimate maximum losses.

04

Analyse natural catastrophe and climate risk.

05

Assess cyber, OT and interdependency risks.

06

Design business continuity and recovery plans.

07

Build risk financing and insurance strategies.

Profile

Who it's for

  • Risk and insurance managers of infrastructure operators.
  • Resilience and business continuity managers.
  • Risk engineers in insurers and brokers.
  • Property and energy underwriters.
  • Public sector risk managers.
  • Consultants in resilience and climate adaptation.
  • Engineering or science graduates seeking to enter insurance and resilience.
Standards & tools

What you'll work with

  • Solvency II (Directive 2009/138/EC) (EU prudential regime for insurers)
  • IFRS 17 (accounting standard for insurance contracts)
  • Delegated Regulation (EU) 2015/35 (implementing rules for Solvency II)
  • EIOPA Guidelines (European supervisory guidance for insurance)
  • ISO 31000 (risk management guidelines)
  • Law 20/2015 (LOSSEAR) (Spanish law on the supervision of insurers)
  • Regulation (EU) 2016/679 (GDPR) (EU data protection regulation)
  • DORA (Regulation (EU) 2022/2554) (digital operational resilience for the financial sector)
  • AI Act (Regulation (EU) 2024/1689) (EU artificial intelligence regulation)
  • R
  • Python (pandas, scikit-learn)
  • SAS
  • Prophet
  • ResQ
Syllabus

8 modules

  1. 1.1Critical infrastructure sectors
  2. 1.2Resilience concepts: absorb, adapt and recover
  3. 1.3Role of insurance in resilience
  4. 1.4Protection gap for infrastructure
  5. 1.5Public-private partnerships
  6. 1.6Systemic and cascading failures
  7. 1.7Loss history of infrastructure events
  8. 1.8Resilience metrics
  9. 1.9Stakeholders and governance
  10. 1.10Guided exercise: resilience profile of an operator
  1. 2.1Directive (EU) 2022/2557 (CER)
  2. 2.2NIS2 Directive (EU) 2022/2555
  3. 2.3DORA for the financial sector
  4. 2.4UK resilience framework
  5. 2.5ISO 22301 business continuity
  6. 2.6ISO 31000 risk management
  7. 2.7EU climate adaptation strategy
  8. 2.8Sendai Framework for Disaster Risk Reduction
  9. 2.9Insurance requirements in concessions
  10. 2.10Exercise: obligations map for an operator
  1. 3.1Asset inventory and criticality
  2. 3.2Hazard identification
  3. 3.3Vulnerability and fragility curves
  4. 3.4Consequence analysis
  5. 3.5Risk matrices and quantitative risk
  6. 3.6Maximum foreseeable loss and PML
  7. 3.7Single points of failure
  8. 3.8Data and GIS tools
  9. 3.9Risk registers
  10. 3.10Laboratory: vulnerability assessment with QGIS
  1. 4.1Flood, windstorm and earthquake exposure
  2. 4.2Heat, drought and wildfire
  3. 4.3Climate scenarios and projections
  4. 4.4Catastrophe models for infrastructure
  5. 4.5Adaptation measures
  6. 4.6Cost-benefit analysis of mitigation
  7. 4.7Nature-based solutions
  8. 4.8Insurance incentives for adaptation
  9. 4.9Monitoring and early warning
  10. 4.10Exercise: climate scenario analysis
  1. 5.1Cyber threats to operational technology
  2. 5.2SCADA and industrial control systems
  3. 5.3Interdependencies with energy and telecoms
  4. 5.4Supply chain risks
  5. 5.5Cascading failure modelling
  6. 5.6Cyber insurance for critical infrastructure
  7. 5.7War and state-sponsored attack exclusions
  8. 5.8Incident response
  9. 5.9Testing and exercises
  10. 5.10Exercise: interdependency map
  1. 6.1Business impact analysis
  2. 6.2Recovery time and recovery point objectives
  3. 6.3Continuity strategies
  4. 6.4Crisis management
  5. 6.5Emergency response
  6. 6.6Business interruption quantification
  7. 6.7Testing continuity plans
  8. 6.8Lessons learned
  9. 6.9Continuous improvement
  10. 6.10Exercise: business impact analysis
  1. 7.1Retention versus transfer
  2. 7.2Property and BI programmes
  3. 7.3Parametric covers for infrastructure
  4. 7.4Captives
  5. 7.5Catastrophe bonds and public pools
  6. 7.6Government schemes and reinsurance
  7. 7.7Limits and deductibles
  8. 7.8Total cost of risk
  9. 7.9Communicating resilience to underwriters
  10. 7.10Exercise: risk financing strategy
  1. 8.1Case definition and operator data
  2. 8.2Regulatory obligations
  3. 8.3Risk assessment
  4. 8.4Climate analysis
  5. 8.5Cyber and interdependencies
  6. 8.6Continuity plan
  7. 8.7Risk financing
  8. 8.8Roadmap
  9. 8.9Final report and presentation
  10. 8.10Final project: tutor review of the resilience strategy
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: you progress at your own pace within the intake, so the programme can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is R, Python (pandas, scikit-learn), SAS, Prophet, ResQ, in free, academic or evaluation versions. Case studies are built on real workflows from an actuarial modelling environment, a claims data platform and a catastrophe scenario simulator. Assessment is continuous by module, plus the final integrative project.

Standards covered: Solvency II (Directive 2009/138/EC), IFRS 17, Delegated Regulation (EU) 2015/35, EIOPA Guidelines, ISO 31000, Law 20/2015 (LOSSEAR), Regulation (EU) 2016/679 (GDPR), DORA (Regulation (EU) 2022/2554), AI Act (Regulation (EU) 2024/1689).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Solvency II (Directive 2009/138/EC), IFRS 17 and Delegated Regulation (EU) 2015/35 applied to real cases, not as a theoretical annex.
Industry software:R, Python (pandas, scikit-learn), SAS, Prophet and ResQ, in free, academic or evaluation versions.
Final project:an integrative case study on resilience strategies for critical infrastructure, reviewed by your tutor.
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.

Resilience profile
Assess the resilience profile of an infrastructure operator.
Vulnerability assessment
Assess vulnerability with QGIS.
Climate and cyber
Analyse climate scenarios and interdependencies.
Continuity and financing
Conduct a business impact analysis and design a risk financing strategy.
Final project
Develop a complete resilience strategy with insurance programme, reviewed by your tutor.
Career opportunities

Where this takes you

Non-life actuaryRisk analystTechnical underwriterClaims adjusterPricing managerTechnical reserves manager
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • 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.

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FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with R, Python (pandas, scikit-learn), SAS, Prophet and ResQ, 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree is required), a computer able to run the programme 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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