Course in Insured Mobility Ecosystems
300 hours online course in insured mobility ecosystems. 6 modules covering Directive (EU) 2016/97 (IDD), Royal Decree-law 3/2020 (transposition of the IDD) and Python (pandas). Personal tutor assigned and enrolment open.
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What you will be able to do
Describe the stakeholder map of mobility ecosystems and their value flows.
Design embedded insurance solutions integrated into mobility services.
Use telematics data for pricing and risk management.
Analyse the regulatory framework for insurance distribution and access to vehicle data.
Structure contractual agreements between insurers and mobility partners.
Define performance indicators for ecosystem partnerships and operations.
Develop an integrative project for an insured mobility ecosystem.
Who it's for
- Mobility partnerships manager at an insurer who wants to specialise in Insured Mobility Ecosystems.
- Embedded insurance manager who wants to specialise in Insured Mobility Ecosystems.
- Telematics and pricing analyst who wants to specialise in Insured Mobility Ecosystems.
- Digital ecosystems consultant who wants to specialise in Insured Mobility Ecosystems.
- Mobility product manager who wants to specialise in Insured Mobility Ecosystems.
- Insurance distribution specialist who wants to specialise in Insured Mobility Ecosystems.
- Engineering or science graduates looking to enter mobility insurance.
What you'll work with
- Directive (EU) 2016/97 (IDD)
- Royal Decree-law 3/2020 (transposition of the IDD)
- Royal Legislative Decree 8/2004 (compulsory vehicle insurance)
- Regulation (EU) 2023/2854 (Data Act)
- Regulation (EU) 2016/679 (GDPR)
- Directive (EU) 2015/2366 (payment services, PSD2)
- EDPB Guidelines 01/2020 on connected vehicles
6 modules · 300 h
1.1Modes and services: shared, subscription and on-demand1.2Stakeholders: operator, manufacturer, platform and city1.3Value flows between stakeholders1.4Data generated by the ecosystem1.5The role of insurance as an enabler1.6Risk-sharing models1.7Usage trends versus ownership1.8Sector vocabulary and acronyms1.9Market cases and their evolution1.10Exercise: stakeholder map of a city
2.1The concept of embedded insurance2.2Timing and point of purchase2.3Pay-per-use, pay-per-trip and pay-per-minute insurance2.4Cover for user, vehicle and third parties2.5Shared fleets and driver rotation2.6Micromobility and its particularities2.7Autonomous vehicles and allocation of liability2.8Designing the purchase experience2.9Transparency and customer understanding2.10Practice: design an embedded policy
3.1Data sources in the ecosystem3.2Telematics and driving behaviour3.3Data quality, coverage and bias3.4Usage-based pricing models3.5Accident prevention and reduction3.6Fraud detection in shared services3.7Data protection and minimisation3.8Model transparency for the user3.9Portability of the driver's history3.10Practice: usage-based pricing model
4.1Compulsory motor insurance and its scope4.2Liability in shared services4.3Insurance distribution regulations4.4Municipal micromobility regulations4.5Contracts between operator and insurer4.6Allocation of liability between stakeholders4.7Consumer protection4.8Autonomous vehicle regulation under development4.9Management of cross-border claims4.10Practice: contractual allocation of liabilities
5.1Technical integration with the partner's platform5.2Claims management in shared services5.3Assistance, repair and replacement5.4Service level agreements between partners5.5Economics of the agreement and revenue sharing5.6Technical and business indicators5.7User experience and reputation5.8Scaling to new cities and modes5.9Partnership risks and their management5.10Practice: collaboration agreement with an operator
6.1Choosing the ecosystem and the stakeholders6.2Map of risks and responsibilities6.3Design of the embedded product6.4Data and pricing model6.5Regulatory and contractual analysis6.6Technical integration plan6.7Economic model of the agreement6.8Indicators and monitoring plan6.9Project report6.10Project defence
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, making it possible to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (pandas), Power BI, Postman (APIs), Salesforce, in free, academic or evaluation versions. Tests are studied using real procedures for mapping ecosystem stakeholders in mobility, embedded insurance pilots with partners, and pricing with telematics data. Assessment is continuous per module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe the stakeholder map of mobility ecosystems and their value flows.
Design embedded insurance solutions integrated into mobility services.
Use telematics data for pricing and risk management.
Analyse the regulatory framework for insurance distribution and access to vehicle data.
Structure contractual agreements between insurers and mobility partners.
Where this takes you
Requirements
- No prior degree is 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.
Frequently asked questions
The programme is 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 programme uses Python (pandas), Power BI, Postman (APIs) and Salesforce. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the integrative 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 can be credited towards the advanced programme. Please check the credit transfer policy when you enrol.
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