Master’s in Mobility Insurance Product Design Engineering (MaaS, On-Demand, Microinsurance)
Online master's programme of 1,900 hours in mobility insurance product design engineering (MaaS, on-demand, microinsurance), structured in 12 modules covering new forms of mobility, product governance, design methodology, on-demand and embedded insurance, microinsurance, parametric insurance, pricing new products and launch, with an assigned technical tutor.
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Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse the risks of new forms of mobility.
Apply insurance product oversight and governance.
Design user-centred products.
Create on-demand and platform-embedded insurance.
Design microinsurance and parametric insurance.
Price products without claims history.
Plan the launch and scaling of the product.
Who it's for
- Insurance product designers.
- Embedded insurance managers.
- New product actuaries.
- Platform partnership managers.
- Insurtech analysts.
- Product compliance managers.
- Engineering or science graduates seeking to enter the insurance sector.
What you'll work with
- Law 50/1980 on Insurance Contracts (Spanish insurance contract law)
- Directive (EU) 2016/97 (insurance distribution)
- Delegated Regulation (EU) 2017/2358 (product oversight and governance)
- Royal Decree-Law 3/2020 (Spanish transposition of insurance distribution)
- Royal Legislative Decree 8/2004 (civil liability and insurance in motor vehicle traffic)
- Royal Decree 970/2020 (personal mobility vehicles)
- Regulation (EU) 2022/2554 (DORA) (digital operational resilience)
- Figma
- Python with pandas
- Guidewire InsuranceSuite
- Postman
12 modules · 1900 h
1.1Mobility as a Service1.2Car sharing and per-minute rental1.3Personal mobility vehicles1.4Shared bikes and motorbikes1.5Ride-hailing platforms1.6Last-mile delivery1.7Corporate employee mobility1.8Emerging risks of new mobility1.9Existing coverage gaps1.10Case study: risk map of an e-scooter platform
2.1Insurance Contract Act2.2Insurance Distribution Directive2.3Product oversight and governance2.4Defining the target market2.5Pre-contractual information for the customer2.6Compulsory motor vehicle insurance2.7Regulation of personal mobility vehicles2.8Local mobility regulations2.9Consumer protection2.10Laboratory: defining the target market of a product
3.1User needs research3.2Customer journey maps3.3Value proposition3.4Product prototyping3.5User testing3.6Iteration and learning3.7Success indicators3.8Design governance3.9Multidisciplinary product teams3.10Practical exercise: journey map of a car-sharing user
4.1Activating and deactivating cover4.2Per-trip insurance4.3Hourly and daily insurance4.4Usage-based pricing4.5Instant activation technology4.6Mobile app experience4.7Risk of adverse selection4.8On-demand claims handling4.9Market cases4.10Case study: per-trip insurance for occasional drivers
5.1The concept of embedded insurance5.2API integration5.3Partnerships with mobility platforms5.4Revenue sharing5.5Distributor liability5.6Frictionless purchase experience5.7Data shared with the platform5.8Shared reputational risks5.9Partnership contracts5.10Practical exercise: designing a quotation API
6.1Concept and principles of microinsurance6.2Low-value products6.3Simple, understandable covers6.4Mass and digital distribution6.5Administration costs6.6Microinsurance for delivery riders6.7Microinsurance in emerging markets6.8Financial and insurance inclusion6.9Measuring customer value6.10Case study: microinsurance for platform delivery riders
7.1Principles of parametric insurance7.2Indices and triggers7.3Basis risk management7.4Transport delay insurance7.5Weather insurance for mobility7.6Official data sources7.7Automatic claims payment7.8Smart contracts on blockchain7.9Regulatory fit of parametric products7.10Laboratory: designing a parametric delay insurance
8.1User third-party liability8.2Own damage to the shared vehicle8.3User personal accident8.4Theft and vandalism8.5Operator liability8.6Covers for platform drivers8.7Mobility assistance8.8Exclusions and limitations8.9Plain-language policy wording8.10Practical exercise: policy wording for e-scooter insurance
9.1Pricing without own claims history9.2Platform exposure data9.3Benchmarking and external data9.4Assumptions and prudence margins9.5Demand-based dynamic pricing9.6Early claims monitoring9.7Post-launch adjustments9.8Reinsurance of new products9.9Expected product profitability9.10Case study: initial tariff for car-sharing insurance
10.1Cloud insurance platforms10.2Digital policy issuance10.3Automated claims management10.4Fraud detection10.5Digital customer service10.6Integration with mobility platforms10.7Cybersecurity of the solution10.8Digital operational resilience10.9Selecting technology providers10.10Practical exercise: architecture of a digital product
11.1Launch plan11.2Market pilot tests11.3Digital marketing of the product11.4Adoption indicators11.5Managing the initial portfolio11.6Product review11.7Scaling to new markets11.8Strategic distribution partnerships11.9Lessons from failed products11.10Case study: scaling an on-demand insurance product
12.1Selection of the mobility segment12.2User research12.3Value proposition for the segment12.4Cover design12.5Initial product pricing12.6Distribution model12.7Regulatory compliance check12.8Product launch plan12.9Thesis report12.10Master's Thesis: defence before a panel
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 Figma, Python with pandas, Guidewire InsuranceSuite and Postman, in free, academic or evaluation versions. Testing is studied through real procedures for designing on-demand insurance products, prototyping embedded insurance and pricing products without claims history. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Law 50/1980 on Insurance Contracts, Directive (EU) 2016/97, Delegated Regulation (EU) 2017/2358, Royal Decree-Law 3/2020, Royal Legislative Decree 8/2004, Royal Decree 970/2020, Regulation (EU) 2022/2554 (DORA).
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- 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.
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 Figma, Python with pandas, Guidewire InsuranceSuite and Postman, 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 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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