CourseInsurance, Risk & Actuarial Data Applications open

Insurance Course for Level 3–5 Autonomous Vehicles

Online 300-hour course in insurance for Level 3–5 autonomous vehicles. 6 modules covering SAE J3016 (levels of driving automation), UN Regulation No. 157 (Automated Lane Keeping Systems, ALKS) and CARLA (driving simulator). Assigned tutor and open enrolment.

Duration300 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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

Distinguish Levels 3, 4 and 5 of automation and their implications for risk.

02

Interpret the applicable regulatory framework for type approval and liability.

03

Analyse how accident frequency changes with automated driving.

04

Design cover that combines third-party liability and product liability.

05

Use vehicle data as evidence in determining causes.

06

Plan recovery actions against manufacturers and suppliers.

07

Propose an insurance product adapted to an automated driving service.

Profile

Who it's for

  • Autonomous vehicle insurance specialist who wants to specialise in Insurance for Level 3–5 Autonomous Vehicles.
  • Motor insurance product developer who wants to specialise in Insurance for Level 3–5 Autonomous Vehicles.
  • Mobility risk actuary who wants to specialise in Insurance for Level 3–5 Autonomous Vehicles.
  • Product liability analyst who wants to specialise in Insurance for Level 3–5 Autonomous Vehicles.
  • Accident loss adjuster for vehicles with assistance systems who wants to specialise in Insurance for Level 3–5 Autonomous Vehicles.
  • Mobility regulation consultant who wants to specialise in Insurance for Level 3–5 Autonomous Vehicles.
  • Engineering or science graduates seeking to join insurance companies.
Standards & tools

What you'll work with

  • SAE J3016 (levels of driving automation)
  • UN Regulation No. 157 (Automated Lane Keeping Systems, ALKS)
  • Implementing Regulation (EU) 2022/1426 (automated driving systems)
  • Regulation (EU) 2019/2144 (general safety of vehicles)
  • Directive 2009/103/EC (motor vehicle insurance)
  • Directive (EU) 2024/2853 (liability for defective products)
  • Royal Legislative Decree 8/2004 (LRCSCVM)
  • UN Regulation No. 155 (vehicle cybersecurity)
Syllabus

6 modules · 300 h

  1. 1.1Definition of automation levels
  2. 1.2Driver responsibility at each level
  3. 1.3Operational design domain and its limits
  4. 1.4Takeover request and response time
  5. 1.5Minimal risk manoeuvre
  6. 1.6Practical differences between levels
  7. 1.7Field vocabulary and acronyms
  8. 1.8Status of commercial deployment
  9. 1.9User expectations and confusion
  10. 1.10Exercise: classify real systems by level
  1. 2.1Type approval of automated systems
  2. 2.2Driving system requirements
  3. 2.3Data recorder requirements
  4. 2.4Cybersecurity and software updates
  5. 2.5Authorisation of automated services
  6. 2.6Information obligations to the user
  7. 2.7Compulsory insurance and its scope
  8. 2.8Complementary national regulations
  9. 2.9Expected developments
  10. 2.10Practical: regulatory map of a model
  1. 3.1Accident scenarios specific to each level
  2. 3.2Transfer of control and its risk
  3. 3.3Driver overtrust
  4. 3.4System failure and degradation
  5. 3.5Interaction with other road users
  6. 3.6Adverse environmental conditions
  7. 3.7Sensor repair costs
  8. 3.8Available evidence on safety
  9. 3.9Accumulation from common defects
  10. 3.10Practical: analysis of an accident scenario
  1. 4.1Cover specific to each level
  2. 4.2Allocation of liability in the policy wording
  3. 4.3Software failure cover
  4. 4.4Associated cyber cover
  5. 4.5Vehicle update requirements
  6. 4.6Policyholder obligations
  7. 4.7Exclusions and their justification
  8. 4.8Clear pre-contractual information
  9. 4.9Pricing and segmentation
  10. 4.10Practical: designing a product per level
  1. 5.1Determining the active driving mode
  2. 5.2Access to vehicle data
  3. 5.3Specialist loss adjusting
  4. 5.4Accident reconstruction
  5. 5.5Recovery against the manufacturer
  6. 5.6Agreements between insurers and manufacturers
  7. 5.7Handling third-party claims
  8. 5.8Litigation and its cost
  9. 5.9Training of loss adjusters and claims handlers
  10. 5.10Practical: claims handling protocol
  1. 6.1Choice of model and level
  2. 6.2Regulatory and liability map
  3. 6.3Accident scenario analysis
  4. 6.4Product and policy wording design
  5. 6.5Loss adjusting and recovery protocol
  6. 6.6Training plan
  7. 6.7Monitoring indicators
  8. 6.8Product review plan
  9. 6.9Project report
  10. 6.10Project defence
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake period, 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 CARLA (driving simulator), Python (pandas), R, MATLAB, Power BI, in free, academic or evaluation versions. Tests are studied using real data-analysis procedures for automated driving event data recorders, simulation of autonomous vehicle accident scenarios, and cases of liability allocation between driver and manufacturer. Assessment is continuous across modules plus the final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with a dynamometer test bench, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented capstone: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 cyber security, DIH and compliance as core 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 model and level

Distinguish Levels 3, 4 and 5 of automation and their implications for risk.

Regulatory and liability map

Interpret the applicable regulatory framework for type approval and liability.

Accident scenario analysis

Analyse how accident frequency changes with automated driving.

Product and policy wording design

Design cover that combines third-party liability and product liability.

Loss adjusting and recovery protocol

Use vehicle data as evidence in determining causes.

Career opportunities

Where this takes you

Autonomous vehicle insurance specialistMotor insurance product developerMobility risk actuaryProduct liability analystAccident loss adjuster for vehicles with assistance systemsMobility regulation consultant
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient command 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.

FAQ

Frequently asked questions

The programme totals 300 hours spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You work with CARLA (driving simulator), Python (pandas), R, MATLAB and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative when one exists.

A SEIUM diploma upon passing the continuous assessment and the integrating 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 credited towards the advanced programme. Please check the credit transfer policy when you enrol.

Insurance Course for Level 3–5 Autonomous VehiclesEnrol
Scroll to Top
SEIUM – Institute of Advanced Engineering
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.