Postgraduate Diploma in On-Demand Insurance: Activation Models and Scalability
Online 800-hour postgraduate diploma in On-Demand Insurance: Activation Models and Scalability. 8 modules covering Directive (EU) 2016/97 (IDD), Directive (EU) 2023/2673 (distance financial services contracts) and AWS Lambda. Assigned tutor and enrolment open.
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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
Characterise on-demand insurance compared with traditional annual insurance.
Design manual, automatic and event-based activation models.
Calculate rates per unit of use and period of cover.
Define API-based and microservices architectures for instant issuance.
Plan the technical and commercial scalability of the product.
Ensure pre-contractual information and customer protection in distance contracting.
Organise the operation and digital management of claims.
Who it's for
- Digital insurance product owner looking to specialise in On-Demand Insurance: Activation Models and Scalability.
- Insurtech platform architect looking to specialise in On-Demand Insurance: Activation Models and Scalability.
- Usage-based pricing actuary looking to specialise in On-Demand Insurance: Activation Models and Scalability.
- Digital compliance manager looking to specialise in On-Demand Insurance: Activation Models and Scalability.
- Digital claims operations manager looking to specialise in On-Demand Insurance: Activation Models and Scalability.
- Insurtech business growth manager looking to specialise in On-Demand Insurance: Activation Models and Scalability.
- Engineering or science graduates looking to enter insurtech.
What you'll work with
- Directive (EU) 2016/97 (IDD)
- Directive (EU) 2023/2673 (distance financial services contracts)
- Ley 50/1980 de Contrato de Seguro
- Directive (EU) 2015/2366 (PSD2, payment services)
- Regulation (EU) 2022/2554 (DORA)
- Regulation (EU) 2016/679 (GDPR)
- ISO/IEC 27001 (information security)
8 modules · 800 h
1.1Concept of on-demand and usage-based insurance1.2Differences from traditional annual insurance1.3Use cases: travel, objects, vehicles and events1.4Digital consumer behaviour1.5Manual, automatic and context-based activation1.6Insurtech ecosystem and carrier insurers1.7Business models and revenue sources1.8Risks of the on-demand model1.9International reference cases1.10Case study: analysis of an on-demand travel product
2.1Activation via an in-app switch2.2Activation via geolocation and geofences2.3Activation via IoT device events2.4Activation integrated into transactions2.5Policies per minute, day or use2.6Rules for the start and end of cover2.7Managing overlaps and gaps2.8Detecting opportunistic activations2.9User experience and friction2.10Workshop: designing geofence activation rules
3.1Granular exposure units3.2Price per minute and per kilometre3.3Seasonality and usage patterns3.4Adverse selection risk in activation3.5Frequency models with short exposure3.6Context- and timing-based surcharges3.7Dynamic pricing and elasticity3.8Profitability per activation3.9Actuarial validation of the product3.10Practice: per-minute cover premium model
4.1Microservices-based architecture4.2Real-time issuance and quoting APIs4.3Event-driven architectures4.4Business rules engines4.5Integration with core systems4.6Identity and payment management4.7High-availability databases4.8Observability and monitoring4.9Security and compliance4.10Laboratory: policy activation and deactivation API
5.1Cloud scaling and elasticity5.2Costs per transaction5.3End-to-end process automation5.4Managing demand peaks5.5Expansion into new markets5.6European passport and freedom to provide services5.7Reinsurance of on-demand portfolios5.8Partnerships with digital platforms5.9Growth indicators and unit economics5.10Practice: unit economics model for a product
6.1Insurance Distribution Directive (IDD)6.2Real-time pre-contractual information6.3Electronic contracting and consent6.4Customer demands and needs6.5Product oversight and governance (POG)6.6GDPR and location data6.7Price transparency6.8Complaints management6.9Supervision of digital models6.10Case study: POG review of a usage-based insurance product
7.1Claims notification from the app7.2Verification of active cover7.3Claims settlement automation7.4Fraud linked to late activations7.5Contextual data for validating claims7.6Digital customer service and chatbots7.7Service and satisfaction indicators7.8Continuous improvement using usage data7.9Technical incident management7.10Practice: claims workflow with activation verification
8.1Defining the use case8.2Designing the activation model8.3Pricing model8.4Technical architecture8.5Regulatory analysis8.6Scaling plan8.7Financial model8.8Launch plan8.9Written report and presentation8.10Final review with the tutor
How you'll learn
Fully 100 % online training on the SEIUM Institute 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 programme with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is AWS Lambda, Kubernetes, Stripe, Postman, Mixpanel, in free, academic or evaluation versions. Practical work is based on real-world procedures: designing a geolocation-based activation flow, load testing a policy issuance API and simulating per-minute usage rates. Assessment is continuous across modules, plus a final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Characterise on-demand insurance compared with traditional annual insurance.
Design manual, automatic and event-based activation models.
Calculate rates per unit of use and period of cover.
Define API-based and microservices architectures for instant issuance.
Plan the technical and commercial scalability of the product.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university 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 totals 800 hours spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
The programme uses AWS Lambda, Kubernetes, Stripe, Postman and Mixpanel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM Institute own diploma upon passing the continuous assessment and the final integrative project. It is in-house training, not an official Ministry title.
Yes. Modules passed in a Course or Postgraduate Diploma in the same area are credited towards the higher-level programme. Check the credit transfer policy when you enrol.
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