CourseInsurance, Risk & Actuarial Data Applications open

Course in Blockchain Applied to Insurance

Online 300-hour course in blockchain applied to insurance. 6 modules covering Regulation (EU) 2023/1114 (MiCA), Regulation (EU) 910/2014 (eIDAS) and Hyperledger Fabric. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Explain the fundamentals of distributed ledgers, consensus mechanisms and smart contracts.

02

Identify blockchain use cases in underwriting, reinsurance, parametric insurance and fraud prevention.

03

Select the type of network, public or permissioned, most suitable for an insurance solution.

04

Design a basic smart contract connected to external data oracles.

05

Analyse the solution's compatibility with the GDPR, eIDAS, MiCA and DORA.

06

Evaluate the costs, benefits and risks of implementing a distributed ledger solution.

07

Present the design and roadmap of a blockchain project applied to insurance.

Profile

Who it's for

  • Insurance innovation analyst who wishes to specialise in Blockchain applied to insurance.
  • Smart contract developer who wishes to specialise in Blockchain applied to insurance.
  • Blockchain solutions architect who wishes to specialise in Blockchain applied to insurance.
  • Digital transformation consultant in insurance who wishes to specialise in Blockchain applied to insurance.
  • Technology risk manager who wishes to specialise in Blockchain applied to insurance.
  • Insurtech project manager who wishes to specialise in Blockchain applied to insurance.
  • Graduates in engineering or sciences seeking to enter insurance and reinsurance.
Standards & tools

What you'll work with

  • Regulation (EU) 2023/1114 (MiCA)
  • Regulation (EU) 910/2014 (eIDAS)
  • ISO 22739 (Blockchain and DLT: Vocabulary)
  • ISO/TR 23455 (Smart Contracts)
  • Regulation (EU) 2016/679 (GDPR)
  • Regulation (EU) 2022/2554 (DORA)
  • Directive 2009/138/EC (Solvency II)
Syllabus

6 modules · 300 h

  1. 1.1Blockchain and the shared ledger
  2. 1.2Consensus and transaction validation
  3. 1.3Public, private and consortium networks
  4. 1.4Applied cryptography: signatures and hashing
  5. 1.5Immutability and its practical consequences
  6. 1.6Performance, cost and scalability
  7. 1.7Common myths and unfounded expectations
  8. 1.8Vocabulary and acronyms of the field
  9. 1.9When a database is the better option
  10. 1.10Exercise: deciding whether a case needs it
  1. 2.1Data sharing between entities
  2. 2.2Recording policies and certificates
  3. 2.3Fraud prevention through shared history
  4. 2.4Co-insurance and reinsurance: reconciliation
  5. 2.5Automated parametric claims
  6. 2.6Traceability in cargo insurance
  7. 2.7The insured's digital identity
  8. 2.8Payments and settlements between participants
  9. 2.9Prioritising cases by real value
  10. 2.10Practice: assessing a specific use case
  1. 3.1Choice of network and governance model
  2. 3.2What data goes on-chain and what stays off-chain
  3. 3.3Privacy on a shared ledger
  4. 3.4Identity and permissions of participants
  5. 3.5Oracles and external data
  6. 3.6Smart contracts and their scope
  7. 3.7Integration with existing systems
  8. 3.8Testing and code auditing
  9. 3.9Updating and evolving the network
  10. 3.10Practice: solution architecture
  1. 4.1Agreements between consortium participants
  2. 4.2Allocation of costs and responsibilities
  3. 4.3Data protection on an immutable ledger
  4. 4.4Right to erasure and its tensions
  5. 4.5Competition rules and data exchange
  6. 4.6Evidential validity of records
  7. 4.7Crypto-asset regulation where applicable
  8. 4.8Technology risk and dependency
  9. 4.9Continuity if a participant withdraws
  10. 4.10Practice: consortium governance agreement
  1. 5.1Proof of concept and its objectives
  2. 5.2Measurable success criteria
  3. 5.3Onboarding participants
  4. 5.4Training and change management
  5. 5.5Total cost versus conventional alternative
  6. 5.6Adoption and value indicators
  7. 5.7Common causes of project failure
  8. 5.8Decision to continue or abandon
  9. 5.9Market lessons
  10. 5.10Practice: proof-of-concept plan
  1. 6.1Choice of use case and participants
  2. 6.2Justification against alternatives
  3. 6.3Architecture and data model
  4. 6.4Governance agreement
  5. 6.5Regulatory and privacy analysis
  6. 6.6Proof-of-concept plan
  7. 6.7Success indicators
  8. 6.8Cost analysis
  9. 6.9Project report
  10. 6.10Project defence
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 the course with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Hyperledger Fabric, Ethereum (Solidity), Remix IDE, Hardhat, Chainlink (oracles), in free, academic or evaluation versions. Practical work covers prototyping smart contracts on test networks, analysis of parametric insurance cases and insurance consortia, and feasibility assessment of distributed ledger projects. Assessment is continuous, by module, plus the final integrative project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:faculty with careers in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, OT cybersecurity, DIH and compliance as core pillars.
Capstone project

Build it end to end

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

Choice of use case and participants

Explain the fundamentals of distributed ledgers, consensus mechanisms and smart contracts.

Justification against alternatives

Identify blockchain use cases in underwriting, reinsurance, parametric insurance and fraud prevention.

Architecture and data model

Select the type of network, public or permissioned, most suitable for an insurance solution.

Governance agreement

Design a basic smart contract connected to external data oracles.

Regulatory and privacy analysis

Analyse the solution's compatibility with the GDPR, eIDAS, MiCA and DORA.

Career opportunities

Where this takes you

Insurance innovation analystSmart contract developerBlockchain solutions architectDigital transformation consultant in insuranceTechnology risk managerInsurtech project manager
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient command of 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.

FAQ

Frequently asked questions

The programme comprises 300 hours in total, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

The course works with Hyperledger Fabric, Ethereum (Solidity), Remix IDE, Hardhat, Chainlink (oracles). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

An own diploma from SEIUM upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Please check the recognition policy when you enrol.

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