Insurance Course for Carsharing Companies
Online 300-hour course in insurance for carsharing companies. 6 modules covering Real Decreto Legislativo 8/2004 (civil liability and motor vehicle insurance), Real Decreto 1507/2008 (Regulation on compulsory civil liability insurance for road traffic) and Geotab (telematics). Personal tutor assigned and enrolment open.
Insurance Course for Carsharing Companies — studying from Singapore
Singapore is a major insurance and reinsurance hub in Asia, regulated by the Monetary Authority of Singapore. Engineering skills support risk modelling, catastrophe analysis, data analytics and actuarial work for insurers and reinsurers. The sector draws on data science and quantitative methods, with demand from insurers, brokers and risk consultancies. The city's financial ecosystem makes it a common base for global risk and actuarial teams.
Fees for Singapore: S$780 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
Will this qualification be recognised by professional bodies in Singapore?
SEIUM's qualifications are private, not official state degrees, and are not accredited by any national body. In Singapore, actuarial work is linked to the Singapore Actuarial Society, and insurance is regulated by the Monetary Authority of Singapore. Recognition of a private qualification is decided by employers or the relevant body, so confirm with them directly before you enrol.
How might this training be used by employers in Singapore?
Singapore's insurance, banking and risk functions employ people with analytical and data skills. An engineering-based risk and data programme may complement such roles, but it does not guarantee a position or a specific career outcome. Employers usually weigh professional exams, experience and demonstrated analytical ability, so your final project and work history will matter as much as the qualification title.
Can I study this alongside a full-time job, and can my employer help fund it?
Because the course is fully online and taught in English, you can study from Singapore without travelling, and no student visa is needed for online study. The workload is substantial, so plan carefully around your job. Fees can be paid in instalments, and employer sponsorship is possible; many Singapore companies support job-relevant study, so discuss it with your manager.
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 carsharing models and their risk profile.
Identify usage risks arising from multiple drivers and undeclared damage.
Design an insurance product for a shared fleet.
Use telematics data to attribute damage and detect fraud.
Apply the regulations on compulsory insurance and data protection.
Coordinate prevention and operations with the relationship with the city council.
Draw up an insurance programme for a carsharing operator.
Who it's for
- Insurance manager at a carsharing operator who wants to specialise in Insurance for carsharing companies.
- Fleet underwriter who wants to specialise in Insurance for carsharing companies.
- Fraud analyst who wants to specialise in Insurance for carsharing companies.
- Fleet claims handler who wants to specialise in Insurance for carsharing companies.
- Shared mobility operations manager who wants to specialise in Insurance for carsharing companies.
- Telematics data analyst who wants to specialise in Insurance for carsharing companies.
- Engineering or science graduates looking to enter carsharing operators.
What you'll work with
- Real Decreto Legislativo 8/2004 (civil liability and motor vehicle insurance)
- Real Decreto 1507/2008 (Regulation on compulsory civil liability insurance for road traffic)
- Ley 35/2015 (damages assessment scale)
- Directiva 2009/103/CE (motor vehicle insurance)
- Reglamento (UE) 2016/679 (GDPR)
- Directiva 2011/83/UE (consumer rights)
6 modules · 300 h
1.1Modalities: fixed station and free-floating fleet1.2Usage and booking flow1.3User identification and verification1.4Driver rotation in the same vehicle1.5Data generated by the service1.6Stakeholders: operator, user and city1.7Sector vocabulary and acronyms1.8Service economics1.9Typical claims profile1.10Exercise: map of a user's journey
2.1Drivers with no experience in the vehicle2.2Misuse and reckless driving2.3Undeclared damage between users2.4Theft and fraudulent use2.5Vandalism and cleaning2.6Improper parking and fines2.7Maintenance and availability2.8Accidents involving third parties2.9Liability between operator and user2.10Practical: claims analysis of a fleet
3.1Compulsory fleet insurance3.2Own-damage cover3.3User excess and its communication3.4Excess reduction as an additional product3.5Occupant accident cover3.6Roadside assistance3.7Fines cover and its handling3.8Common exclusions3.9Distribution of insurance by the operator3.10Practical: designing cover and excesses
4.1Attributing damage to the responsible user4.2Inspection between uses and its recording4.3Photographs at start and end of use4.4Telematics data as evidence4.5Detecting fraudulent use4.6Identity and licence verification4.7User data protection4.8User complaints and their management4.9Transparency of charges4.10Practical: damage attribution protocol
5.1Preventive fleet maintenance5.2Availability management5.3User training and communication5.4Safe driving programmes5.5Collaboration with the city council5.6Claims and cost indicators5.7Claims management5.8Product review with the insurer5.9Scaling to new cities5.10Practical: operator prevention plan
6.1Choosing the operator and the city6.2Service risk analysis6.3Product and excess design6.4Attribution and anti-fraud protocol6.5Prevention and maintenance plan6.6Economic analysis of the agreement6.7Monitoring indicators6.8Scaling plan6.9Project report6.10Project defence
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetables: students progress at their own pace within the intake, making it easy to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Geotab (telematics), Python (pandas), Guidewire ClaimCenter, Power BI, in free, academic or evaluation versions. The case studies work through real procedures for analysing damage attribution between successive users and detecting fraud patterns in a shared fleet. 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.
Describe carsharing models and their risk profile.
Identify usage risks arising from multiple drivers and undeclared damage.
Design an insurance product for a shared fleet.
Use telematics data to attribute damage and detect fraud.
Apply the regulations on compulsory insurance and data protection.
Where this takes you
Requirements
- No prior qualification is required.
- An 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 300 hours, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You work with Geotab (telematics), Python (pandas), Guidewire ClaimCenter, Power BI. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official Ministry qualification.
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 you enrol.
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