CourseInsurance, Risk & Actuarial Data Applications open

Course in Crowdsurance and Digital Mutuality

Online 300-hour course in crowdsurance and digital mutuality. 6 modules covering Law 20/2015 (LOSSEAR, regulation of insurance undertakings and mutual societies), Royal Decree 1060/2015 (ROSSEAR) and advanced Excel. Assigned tutor and enrolment open.

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 mutual origins of insurance and its evolution towards digital models.

02

Design a community insurance model with risk-sharing rules.

03

Calculate contributions, reserves and surpluses of a mutual fund.

04

Analyse the legal requirements for operating as a mutual society or through an authorised entity.

05

Assess the role of technology in the community's trust and transparency.

06

Identify adverse selection and fraud risks in collaborative schemes.

07

Develop a viable and compliant integrated crowdsurance project.

Profile

Who it's for

  • Mutuality and collaborative insurance specialist looking to specialise in Crowdsurance and digital mutuality.
  • Actuary for community products looking to specialise in Crowdsurance and digital mutuality.
  • Insurtech product manager looking to specialise in Crowdsurance and digital mutuality.
  • Insurance regulatory consultant looking to specialise in Crowdsurance and digital mutuality.
  • Manager of insured communities looking to specialise in Crowdsurance and digital mutuality.
  • P2P business model analyst looking to specialise in Crowdsurance and digital mutuality.
  • Graduates in engineering or sciences seeking to enter mutual societies and insurance mutuals.
Standards & tools

What you'll work with

  • Law 20/2015 (LOSSEAR, regulation of insurance undertakings and mutual societies)
  • Royal Decree 1060/2015 (ROSSEAR)
  • Directive 2009/138/EC (Solvency II)
  • Law 50/1980 on Insurance Contracts
  • Directive (EU) 2016/97 (IDD)
  • Regulation (EU) 2016/679 (GDPR)
Syllabus

6 modules · 300 h

  1. 1.1Mutual principle and risk sharing
  2. 1.2History of mutual aid societies
  3. 1.3Mutual society versus limited company
  4. 1.4Insurance brotherhoods and cooperatives
  5. 1.5What changes with digitalisation
  6. 1.6Peer-to-peer models and their logic
  7. 1.7Benefits perceived by the user
  8. 1.8Vocabulary and acronyms in the field
  9. 1.9Limits of community models
  10. 1.10Exercise: compare two risk-sharing models
  1. 2.1Group formation and affinity
  2. 2.2Contributions, common pool and refunds
  3. 2.3Retained layer and reinsured layer
  4. 2.4Adverse selection in small groups
  5. 2.5Moral hazard and social control
  6. 2.6Admission and expulsion rules
  7. 2.7Resolution of disputes between members
  8. 2.8Transparency of group accounts
  9. 2.9Minimum scale for sustainability
  10. 2.10Practice: design the rules of a group
  1. 3.1Calculating the contribution and common layer
  2. 3.2Volatility in small portfolios
  3. 3.3Need for reinsurance or backing
  4. 3.4Return of surpluses and its effects
  5. 3.5Management costs and sustainability
  6. 3.6Growth and changing risk profile
  7. 3.7Health indicators of the model
  8. 3.8Stress scenarios
  9. 3.9Comparison with traditional insurance
  10. 3.10Practice: economic model of a collective
  1. 4.1When an activity is insurance for legal purposes
  2. 4.2Authorisation and solvency requirements
  3. 4.3Intermediation models versus insurer
  4. 4.4Social provision entities
  5. 4.5Consumer protection and transparency
  6. 4.6Fundraising regulations
  7. 4.7Data protection within the collective
  8. 4.8Prevention of money laundering
  9. 4.9Supervision and the risk of operating without authorisation
  10. 4.10Practice: legal fit analysis of a model
  1. 5.1Collective management platform
  2. 5.2Automation of contributions and payments
  3. 5.3Transparent recording of decisions
  4. 5.4Participatory governance and voting
  5. 5.5Moderation and conflict resolution
  6. 5.6Communication with the community
  7. 5.7Prevention of internal fraud
  8. 5.8Measuring trust and retention
  9. 5.9Market cases and lessons learned
  10. 5.10Practice: design the platform's governance
  1. 6.1Choice of collective and risk
  2. 6.2Design of the model rules
  3. 6.3Economic and actuarial model
  4. 6.4Regulatory fit analysis
  5. 6.5Platform and governance design
  6. 6.6Recruitment and growth plan
  7. 6.7Health indicators of the model
  8. 6.8Stress scenarios and contingencies
  9. 6.9Project report
  10. 6.10Project defence
Methodology, software & labs

How you'll learn

Fully 100 % online study 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 compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Advanced Excel, R (actuarial), Python (pandas), Power BI, in free, academic or evaluation versions. The case studies cover real procedures for modelling a community mutual fund, regulatory feasibility analysis of P2P platforms, and claims simulation by affinity groups. Assessment is continuous per module plus the final integrated project.

Accredited laboratories(EN ISO/IEC 17025) with rotor rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-driven thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience 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, ciber-OT, 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 collective and risk

Explain the mutual origins of insurance and its evolution towards digital models.

Design of the model rules

Design a community insurance model with risk-sharing rules.

Economic and actuarial model

Calculate contributions, reserves and surpluses of a mutual fund.

Regulatory fit analysis

Analyse the legal requirements for operating as a mutual society or through an authorised entity.

Platform and governance design

Assess the role of technology in the community's trust and transparency.

Career opportunities

Where this takes you

Mutuality and collaborative insurance specialistActuary for community productsInsurtech product managerInsurance regulatory consultantManager of insured communitiesP2P business model analyst
Admissions & scholarships

Requirements

  • No prior qualification 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.

FAQ

Frequently asked questions

The programme totals 300 hours 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 uses Advanced Excel, R (actuarial), Python (pandas) and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

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

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the recognition policy when you enrol.

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