Apply now
CourseInsurance, Risk & Actuarial Data Applications open

Usage-Based Insurance (Pay-as-you-go) Course

Online 300-hour course in usage-based insurance (Pay-as-you-go). 6 modules covering Regulation (EU) 2016/679 (GDPR), Directive 2002/58/EC (privacy in electronic communications) and Python (scikit-learn). Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

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.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Describe pay-as-you-drive and pay-how-you-drive models and their actuarial basis.

02

Assess the quality of data from black boxes, mobile applications and connected vehicles.

03

Build a driving score and relate it to observed claims experience.

04

Design a mileage- and behaviour-based tariff using generalised linear models.

05

Apply the GDPR and the Data Act to the processing of geolocation information.

06

Identify risks of discrimination and bias in scoring models.

07

Measure the programme's impact on retention, claims experience and customer experience.

Profile

Who it's for

  • Telematics pricing actuary wishing to specialise in Usage-Based Insurance (Pay-as-you-go).
  • Data scientist in motor insurance wishing to specialise in Usage-Based Insurance (Pay-as-you-go).
  • Pay-as-you-drive programme analyst wishing to specialise in Usage-Based Insurance (Pay-as-you-go).
  • Data protection officer at an insurer wishing to specialise in Usage-Based Insurance (Pay-as-you-go).
  • Motor insurance product manager wishing to specialise in Usage-Based Insurance (Pay-as-you-go).
  • Vehicle telematics consultant wishing to specialise in Usage-Based Insurance (Pay-as-you-go).
  • Engineering or science graduates seeking to enter motor insurers.
Standards & tools

What you'll work with

  • Regulation (EU) 2016/679 (GDPR)
  • Directive 2002/58/EC (privacy in electronic communications)
  • Regulation (EU) 2023/2854 (Data Act)
  • Directive 2004/113/EC (equal treatment between men and women in access to and supply of goods and services)
  • Regulation (EU) 2024/1689 (Artificial Intelligence Act)
  • Regulation (EU) 2015/758 (eCall system)
  • Law 50/1980 on Insurance Contracts
Syllabus

6 modules · 300 h

  1. 1.1From period-based pricing to usage-based pricing
  2. 1.2Modalities: by mileage, by time and by behaviour
  3. 1.3Required data and its sources
  4. 1.4Devices, application and vehicle data
  5. 1.5Benefit for the customer and for the insurer
  6. 1.6Effect on claims prevention
  7. 1.7Barriers to adoption
  8. 1.8Sector vocabulary and acronyms
  9. 1.9Market cases and lessons learned
  10. 1.10Exercise: choosing the modality for a segment
  1. 2.1Devices connected to the vehicle
  2. 2.2Phone applications and their limits
  3. 2.3Native manufacturer data
  4. 2.4Accuracy, coverage and data gaps
  5. 2.5Driver identification
  6. 2.6Trip detection and mode classification
  7. 2.7Handling noise and outliers
  8. 2.8Battery consumption and user experience
  9. 2.9Data quality validation
  10. 2.10Practice: defining the minimum dataset
  1. 3.1Behavioural variables and their meaning
  2. 3.2Building a driving score
  3. 3.3Validation against actual claims experience
  4. 3.4Integration with the traditional tariff
  5. 3.5Discounts, surcharges and their communication
  6. 3.6Stability of the score over time
  7. 3.7Bias by journey type and area
  8. 3.8Explainability of the score to the customer
  9. 3.9Periodic review of the model
  10. 3.10Practice: designing a driving score
  1. 4.1Legal basis for processing
  2. 4.2Informed and granular consent
  3. 4.3Data minimisation and retention
  4. 4.4Secondary use of data and its limits
  5. 4.5Transparency on the effect on price
  6. 4.6Risk of indirect discrimination
  7. 4.7Policyholder rights over their data
  8. 4.8Applicable artificial intelligence regulation
  9. 4.9Distribution and product regulation
  10. 4.10Practice: product privacy policy
  1. 5.1Customer onboarding and first weeks
  2. 5.2Driver feedback and prevention
  3. 5.3Managing complaints about the score
  4. 5.4Use of data in claims management
  5. 5.5Portfolio retention and renewal
  6. 5.6Technical and business indicators
  7. 5.7Cost of the device and of operations
  8. 5.8Scaling the portfolio
  9. 5.9Product evolution
  10. 5.10Practice: product dashboard
  1. 6.1Choice of segment and modality
  2. 6.2Data capture design
  3. 6.3Scoring and tariff model
  4. 6.4Privacy and compliance analysis
  5. 6.5Customer experience design
  6. 6.6Model validation plan
  7. 6.7Economic and operational model
  8. 6.8Indicators and monitoring
  9. 6.9Project report
  10. 6.10Project defence
Methodology, software & labs

How you'll learn

Fully 100% online training on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the enrolment period, 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 (scikit-learn), R (GLM and GAM), Geotab (telematics), SAS Enterprise Miner, Tableau, in free, academic or evaluation versions. Tests are studied using real telematics data analysis procedures from a pilot fleet, calibrating a driving score model. Assessment is continuous per module plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's 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, OT cybersecurity, DIH and compliance as 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 segment and modality

Describe the pay-as-you-drive and pay-how-you-drive models and their actuarial basis.

Data capture design

Assess the quality of data from black boxes, mobile applications and connected vehicles.

Scoring and tariff model

Build a driving score and relate it to observed claims experience.

Privacy and compliance analysis

Design a mileage- and behaviour-based tariff using generalised linear models.

Customer experience design

Apply the GDPR and the Data Act to the processing of geolocation information.

Career opportunities

Where this takes you

Telematics pricing actuaryData scientist in motor insurancePay-as-you-drive programme analystData protection officer at an insurerMotor insurance product managerVehicle telematics consultant
Admissions & scholarships

Requirements

  • No prior degree 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.

Apply now Scholarships
FAQ

Frequently asked questions

The programme consists of 300 total hours spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with full-time work.

Work is carried out with Python (scikit-learn), R (GLM and GAM), Geotab (telematics), SAS Enterprise Miner, Tableau. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM Institute 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 are recognised towards the higher-level programme. Check the recognition policy when enrolling.

Keep exploring

Related programmes

See all in Insurance, Risk & Actuarial Data
Course720 $

Claims Management in Urban Mobility Course

Online course of 300 hours in claims management in urban mobility. 6 modules covering Royal Legislative Decree 8/2004 (civil liability and motor vehicle insurance), Law 35/2015…

300 hOnlineInsurance, Risk & Actuarial Data
Course830 $

Course in Crypto-Assets and Transport Insurance

Online course of 300 h in crypto-assets and transport insurance. 6 modules covering Regulation (EU) 2023/1114 (markets in crypto-assets, MiCA), Regulation (EU) 2023/1113 (information accompanying transfers…

300 hOnlineInsurance, Risk & Actuarial Data
Course500 $

Solvency II Regulation Course Applied to Mobility

300-hour online course in Solvency II regulation applied to mobility. 6 modules covering Directive 2009/138/EC (Solvency II), Delegated Regulation (EU) 2015/35 and R. Assigned tutor and…

300 hOnlineInsurance, Risk & Actuarial Data
Usage-Based Insurance (Pay-as-you-go) CourseEnrol
Related programmes

More in Insurance, Risk & Actuarial Data

Course on Mobility Platforms as Embedded InsuranceView programme →Course in Claims Frequency Prediction for Micromobility InsuranceView programme →Course in Solvency Assessment Using Real-Time DataView programme →ESG Reporting Standards in Insurance CourseView programme →Course in Reinsurer Solvency AssessmentView programme →Course in Insurance for High-Value Transport (Art, Luxury)View programme →

All Insurance, Risk & Actuarial Data programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.