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.
Usage-Based Insurance (Pay-as-you-go) Course — studying from Canada
Canada has a major insurance and financial services sector, with headquarters and operations concentrated in Toronto and Montréal. Insurers and reinsurers rely on actuarial science, risk modelling and data analytics for pricing, reserving and capital management. Federal and provincial regulators oversee solvency, conduct and consumer protection. Engineers and data specialists with risk and modelling skills find roles at insurers, brokers, consultancies and regulatory bodies.
Fees for Canada: C$1,240 (Canadian dollar), with instalments and employer sponsorship available.
Relevant bodies in Canada
Typical roles
Questions from Canada
Is this programme recognised by professional bodies in Canada for insurance and actuarial data work?
SEIUM's qualifications are private, not official state degrees, and are not accredited by a national body in Canada. Actuarial credentials in Canada are governed by the Canadian Institute of Actuaries, and actuarial practice is regulated under provincial and federal rules. A private engineering qualification does not confer these credentials, so confirm recognition with employers or the relevant body yourself.
How might this qualification be used by employers in Canada in insurance or risk roles?
Insurers, banks and risk teams in Canada may value engineering-based data analysis and risk modelling skills, but how they regard a private qualification is their decision. Hiring in these sectors often depends on experience, professional exams and specific credentials. Your final project can serve as evidence of applied skills, though it does not guarantee any role or salary outcome.
What are the practical demands of studying this online from Canada?
Study is fully online and in English, and no student visa is required if you study from home. Programme lengths range from 300 to 1,900 hours, so consider how many hours a week you can commit alongside work. You are assigned a technical tutor for support. Fees can be paid in instalments, and some students receive employer sponsorship, which is possible but not guaranteed.
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
Describe pay-as-you-drive and pay-how-you-drive models and their actuarial basis.
Assess the quality of data from black boxes, mobile applications and connected vehicles.
Build a driving score and relate it to observed claims experience.
Design a mileage- and behaviour-based tariff using generalised linear models.
Apply the GDPR and the Data Act to the processing of geolocation information.
Identify risks of discrimination and bias in scoring models.
Measure the programme's impact on retention, claims experience and customer experience.
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.
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
6 modules · 300 h
1.1From period-based pricing to usage-based pricing1.2Modalities: by mileage, by time and by behaviour1.3Required data and its sources1.4Devices, application and vehicle data1.5Benefit for the customer and for the insurer1.6Effect on claims prevention1.7Barriers to adoption1.8Sector vocabulary and acronyms1.9Market cases and lessons learned1.10Exercise: choosing the modality for a segment
2.1Devices connected to the vehicle2.2Phone applications and their limits2.3Native manufacturer data2.4Accuracy, coverage and data gaps2.5Driver identification2.6Trip detection and mode classification2.7Handling noise and outliers2.8Battery consumption and user experience2.9Data quality validation2.10Practice: defining the minimum dataset
3.1Behavioural variables and their meaning3.2Building a driving score3.3Validation against actual claims experience3.4Integration with the traditional tariff3.5Discounts, surcharges and their communication3.6Stability of the score over time3.7Bias by journey type and area3.8Explainability of the score to the customer3.9Periodic review of the model3.10Practice: designing a driving score
4.1Legal basis for processing4.2Informed and granular consent4.3Data minimisation and retention4.4Secondary use of data and its limits4.5Transparency on the effect on price4.6Risk of indirect discrimination4.7Policyholder rights over their data4.8Applicable artificial intelligence regulation4.9Distribution and product regulation4.10Practice: product privacy policy
5.1Customer onboarding and first weeks5.2Driver feedback and prevention5.3Managing complaints about the score5.4Use of data in claims management5.5Portfolio retention and renewal5.6Technical and business indicators5.7Cost of the device and of operations5.8Scaling the portfolio5.9Product evolution5.10Practice: product dashboard
6.1Choice of segment and modality6.2Data capture design6.3Scoring and tariff model6.4Privacy and compliance analysis6.5Customer experience design6.6Model validation plan6.7Economic and operational model6.8Indicators and monitoring6.9Project report6.10Project defence
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.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe the pay-as-you-drive and pay-how-you-drive models and their actuarial basis.
Assess the quality of data from black boxes, mobile applications and connected vehicles.
Build a driving score and relate it to observed claims experience.
Design a mileage- and behaviour-based tariff using generalised linear models.
Apply the GDPR and the Data Act to the processing of geolocation information.
Where this takes you
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.
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.
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