Postgraduate Diploma in Telematics Applied to Fleet Insurance
Online 800-hour Postgraduate Diploma in Telematics Applied to Fleet Insurance. 8 modules covering ISO 39001 (road safety management systems), Regulation (EU) 165/2014 (tachographs) and Geotab MyGeotab. Assigned tutor and open enrolment.
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What you will be able to do
Identify the risks associated with managing vehicle fleets.
Describe telematics solutions and the data they generate.
Analyse driver behaviour based on telematics events.
Price fleets by combining claims experience and driving data.
Design road safety prevention and training programmes.
Streamline claims management using telematics data.
Assess the impact of sustainable mobility and regulation on fleet insurance.
Who it's for
- Fleet underwriter who wants to specialise in Telematics Applied to Fleet Insurance.
- Fleet manager who wants to specialise in Telematics Applied to Fleet Insurance.
- Telematics analyst who wants to specialise in Telematics Applied to Fleet Insurance.
- Road risk prevention technician who wants to specialise in Telematics Applied to Fleet Insurance.
- Fleet insurance broker who wants to specialise in Telematics Applied to Fleet Insurance.
- Motor claims handler who wants to specialise in Telematics Applied to Fleet Insurance.
- Engineering or science graduates looking to enter transport and logistics.
What you'll work with
- ISO 39001 (road safety management systems)
- Regulation (EU) 165/2014 (tachographs)
- Regulation (EC) 561/2006 (driving and rest times)
- Royal Legislative Decree 8/2004 (compulsory motor insurance)
- Regulation (EU) 2019/2144 (general vehicle safety)
- Regulation (EU) 2016/679 (GDPR)
- ISO 15638 (telematics for regulated commercial vehicles)
8 modules · 800 h
1.1Fleet types: transport, leasing and services1.2Fleet insurance versus individual policies1.3Total cost of ownership of the fleet1.4Typical claims experience of commercial vehicles1.5Employer responsibility for road safety1.6Workplace mobility and road safety plan1.7Commuting and work-related accidents1.8ISO 39001 road safety standard1.9Fleet risk indicators1.10Case study: risk assessment of a delivery fleet
2.1Fleet devices and digital tachographs2.2Smart tachograph and Regulation (EU) 165/20142.3Position, speed and event data2.4On-board cameras and video telematics2.5Fleet management platforms2.6Integrating data from different manufacturers2.7Fuel and consumption data2.8Driving and rest times2.9Data quality and coverage2.10Laboratory: analysing data from a van fleet
3.1Driving score by driver and vehicle3.2Risk events and their weighting3.3Driver fatigue and distraction3.4Routes, schedules and exposure3.5Claims patterns by segment3.6Identifying high-risk drivers3.7Correlation between score and claims3.8Benchmarking between fleets3.9Dashboards for the fleet manager3.10Practice: driver risk ranking
4.1Experience-rated and exposure-rated pricing4.2Credibility models for fleets4.3Pay-per-kilometre and pay-as-you-drive premiums4.4Bonuses for improved behaviour4.5Deductibles and self-insurance4.6Large fleet and captive programmes4.7Renewal and premium adjustment4.8Frequency models using telematics data4.9Profitability by client4.10Workshop: usage-based tariff for a fleet
5.1Accident prevention programmes5.2Data-driven training and coaching5.3ADAS systems in commercial vehicles5.4Real-time driver alerts5.5Preventive fleet maintenance5.6Load management and stowage5.7Mobile phone use policies5.8Incentives and safety culture5.9Evaluating prevention effectiveness5.10Case study: prevention plan for a bus fleet
6.1Automatic accident notification6.2Reconstruction using telematics data and video6.3Repair and vehicle off-road management6.4Replacement vehicles in fleets6.5Fraud detection in fleet claims6.6Recoveries between insurers6.7Claims involving goods and liability6.8Cost-per-claim indicators6.9Continuous improvement based on claims6.10Practice: analysis of an accident using fleet data
7.1Fleet electrification and new risks7.2Charging and battery risks7.3Low-emission zones7.4Freight transport regulations7.5GDPR and employee monitoring7.6Information for employee representatives7.7Automated driving in logistics7.8Light delivery vehicles and cycle logistics7.9Fleet ESG reporting7.10Case study: transition of a fleet to electric vehicles
8.1Fleet characterisation8.2Telematics data analysis8.3Driver risk model8.4Tariff design8.5Prevention plan8.6Claims management protocol8.7Economic evaluation8.8Implementation plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: 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 Geotab MyGeotab, Samsara, Webfleet, Python (pandas), Power BI, in free, academic or evaluation versions. Tests are studied using real procedures for analysing driving event data in a delivery fleet, pricing fleets using claims experience and telematics, and designing driver training plans. 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.
Identify the risks associated with managing vehicle fleets.
Describe telematics solutions and the data they generate.
Analyse driver behaviour based on telematics events.
Price fleets by combining claims experience and driving data.
Design road safety prevention and training programmes.
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 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 between 10 and 15 hours a week on average, compatible with full-time work.
You will work with Geotab MyGeotab, Samsara, Webfleet, Python (pandas) and Power BI. 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 final 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 you enrol.
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