Postgraduate Diploma in Designing Pay-As-You-Drive and Pay-Per-Mile Policies
Online Postgraduate Diploma of 800 h in designing Pay-As-You-Drive and Pay-Per-Mile policies. 8 modules covering Directive 2009/103/CE (motor vehicle insurance), Royal Legislative Decree 8/2004 (LRCSCVM) and R. Tutor assigned and enrolment open.
Take the controls.
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
Distinguish usage-based insurance models and their variants.
Measure exposure using mileage, time and driving context.
Rate usage-based policies using actuarial models.
Design the product, its coverages and its customer experience.
Draft the contractual framework in line with insurance regulation.
Define the technology operation and data processing.
Assess the profitability and evolution of the product.
Who it's for
- Motor insurance product designer who wants to specialise in Designing Pay-As-You-Drive and Pay-Per-Mile Policies.
- Usage-based pricing actuary who wants to specialise in Designing Pay-As-You-Drive and Pay-Per-Mile Policies.
- Telematics product manager who wants to specialise in Designing Pay-As-You-Drive and Pay-Per-Mile Policies.
- Portfolio profitability analyst who wants to specialise in Designing Pay-As-You-Drive and Pay-Per-Mile Policies.
- Insurance legal adviser who wants to specialise in Designing Pay-As-You-Drive and Pay-Per-Mile Policies.
- Insurtech consultant who wants to specialise in Designing Pay-As-You-Drive and Pay-Per-Mile Policies.
- Engineering or science graduates looking to enter insurance companies.
What you'll work with
- Directive 2009/103/CE (Car Insurance)
- Royal Legislative Decree 8/2004 (LRCSCVM)
- Law 50/1980 on Insurance Contracts
- EDPB Guidelines 01/2020 on Connected Vehicles
- Delegate Regulation (EU) 2017/2358 (Product Governance)
- Directive (EU) 2016/97 (IDD)
- Regulation (EU) 2016/679 (GDPR)
8 modules · 800 h
1.1From traditional to usage-based insurance1.2Pay-as-you-drive, pay-per-mile and pay-how-you-drive1.3Mileage as a risk variable1.4Evidence linking exposure and claims1.5Market experiences in the US and Europe1.6Profile of low-mileage customers1.7Effects on mobility and the environment1.8Advantages and risks for the insurer1.9Barriers to adoption1.10Case study: analysis of a commercial pay-per-mile product
2.1Mileage sources: OBD, app and vehicle2.2Odometer photographs2.3Validation and tampering detection2.4Kilometres by road type and time band2.5Driving time as exposure2.6Managing periods without data2.7GNSS measurement accuracy2.8Reconciliation with MOT readings2.9Connected vehicle data2.10Laboratory: mileage estimation using GNSS data
3.1Fixed premium and variable component3.2Per-kilometre rate and bands3.3Monthly premium caps3.4GLM models with mileage exposure3.5Risk elasticity to mileage3.6Adjustments by area and time of day3.7Adverse selection and self-selection3.8Rate adequacy and fairness3.9Portfolio impact simulation3.10Practical exercise: designing a per-kilometre rate
4.1Coverages and excesses4.2General and particular conditions4.3Monthly usage-based billing4.4Payment and collection management4.5Digital purchase process4.6Device installation and activation4.7Communicating usage to the customer4.8Cancellation and vehicle changes4.9Fleet and contract hire products4.10Workshop: pay-per-mile product sheet
5.1Insurance Contract Law5.2Compulsory motor insurance5.3Pre-contractual disclosure duty5.4Insurance Distribution Directive5.5Clauses on telematics data5.6Consent and RGPD5.7Transparency on premium calculation5.8Customer complaints5.9Product governance and oversight5.10Case study: review of policy wording clauses
6.1Usage-based billing architecture6.2Integration with telematics platforms6.3Daily usage calculation6.4Tampering alerts6.5Telematics customer service6.6Operating costs per policy6.7Programme operating indicators6.8Selection of technology providers6.9Programme scaling6.10Practical exercise: monthly billing workflow
7.1Technical profitability metrics7.2Product combined ratio7.3Retention and customer value7.4Portfolio cannibalisation7.5Customer experience7.6Managing adverse selection7.7Evolution towards pay-how-you-drive7.8Shared mobility and electric vehicles7.9Embedded insurance offered by manufacturers7.10Workshop: five-year business plan
8.1Market and competitor analysis8.2Definition of the target segment8.3Rate design8.4Coverage design8.5Policy wording and compliance8.6Operational architecture design8.7Commercial launch plan8.8Five-year financial projection8.9Report and presentation8.10Final review with the tutor
How you'll learn
Training 100% online on the SEIUM campus, with downloadable material, recorded lectures and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which allows them to combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is R, Python (pandas), Earnix, advanced Excel, Power BI, in free, academic or trial versions. The practical work is based on real per-kilometre rating procedures using odometer data, design of contractual conditions for a usage-based policy, and profitability analysis of a PAYD portfolio. Assessment is continuous by 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.
Distinguish usage-based insurance models and their variants.
Measure exposure using mileage, time and driving context.
Rate usage-based policies using actuarial models.
Design the product, its coverages and its customer experience.
Draft the contractual framework in line with insurance regulation.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level 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.
Frequently asked questions
The programme comprises 800 hours in total, spread over 6 to 8 months. That equates to an average of 10 to 15 hours per week, compatible with full-time work.
Work is carried out with R, Python (pandas), Earnix, advanced Excel and Power BI. Free, academic or trial versions are used, and the tutor indicates the free alternative where one exists.
An SEIUM Institute diploma upon passing the continuous assessment and the integrative project. It is an in-house qualification, not an official title from the Ministry.
Yes. Modules passed in a course or Postgraduate Diploma in the same area are recognised towards the higher-level programme. Check the recognition policy when enrolling.
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