CourseInsurance, Risk & Actuarial Data Applications open

Course in Insurance for Autonomous Test Vehicles

Online 300-hour course in insurance for autonomous test vehicles. 6 modules covering DGT Instruction 15/V-113 (authorisation of automated driving vehicle testing), Implementing Regulation (EU) 2022/1426 (type-approval of automated driving systems) and CARLA. Assigned tutor and open enrolment.

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

Course in Insurance for Autonomous Test Vehicles — studying from Ireland

Ireland is an established international hub for insurance, reinsurance and captive insurance, with Dublin hosting a large concentration of insurers, brokers and actuarial functions. The Central Bank of Ireland regulates insurance undertakings and the sector's solvency and conduct requirements. Engineers and analysts in this area work on risk modelling, catastrophe analysis, pricing and data-driven underwriting, often combining technical, statistical and regulatory expertise. Professional qualifications and standards are maintained by the Society of Actuaries in Ireland and related bodies.

Fees for Ireland: €448 (Euro), with instalments and employer sponsorship available.

Relevant bodies in Ireland

  • Central Bank of Ireland
  • Society of Actuaries in Ireland
  • Insurance Ireland
  • Insurance Institute of Ireland

Typical roles

  • Actuarial Analyst
  • Risk Modelling Analyst
  • Insurance Data Scientist
  • Underwriting Analyst

Questions from Ireland

Which professional bodies in Ireland relate to this area, and is this qualification recognised by them?

In Ireland, actuarial work is associated with the Society of Actuaries in Ireland, and risk and data professionals may also look to bodies such as the Institute of Banking. SEIUM's qualifications are private and not accredited by any national body, so they do not confer membership or exemptions from these bodies. Confirm any exemption policies directly with the relevant institute before enrolling.

How is training like this typically viewed by employers in Ireland's insurance and risk sector?

Insurers and financial firms in Ireland generally value recognised professional qualifications most highly. A private online qualification is judged on its content and on your demonstrated skills, including your final project. Employers decide whether it is relevant to a given role, so it is best used to support existing experience rather than as a standalone credential.

What is the practical workload and language requirement for studying this online?

Programmes are taught entirely in English and delivered 100% online, so you can study from anywhere in Ireland or abroad. Workload depends on the programme length: specialist courses are 300 hours, postgraduate diplomas 800 hours and master's programmes 1,900 hours. Each student has an assigned technical tutor, and fees can be paid in instalments.

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Learning outcomes

What you will be able to do

01

Characterise the risk of an autonomous vehicle in the testing phase.

02

Apply the requirements for authorising tests on public roads.

03

Determine the civil liability of the promoter, the safety driver and the manufacturer.

04

Design damage, equipment and project policies for a testing programme.

05

Investigate a claim using vehicle data and test records.

06

Analyse the insurance market and its underwriting criteria.

07

Prepare an insurance programme for a testing campaign.

Profile

Who it's for

  • Risk underwriter for technology and motor risks who wants to specialise in Insurance for Autonomous Test Vehicles.
  • Autonomous driving validation engineer who wants to specialise in Insurance for Autonomous Test Vehicles.
  • Safety manager for testing programmes who wants to specialise in Insurance for Autonomous Test Vehicles.
  • Lawyer in autonomous mobility who wants to specialise in Insurance for Autonomous Test Vehicles.
  • Claims adjuster for automated vehicles who wants to specialise in Insurance for Autonomous Test Vehicles.
  • Insurance broker for innovation projects who wants to specialise in Insurance for Autonomous Test Vehicles.
  • Graduates in engineering or science seeking to join car manufacturers.
Standards & tools

What you'll work with

  • DGT Instruction 15/V-113 (authorisation of automated driving vehicle testing)
  • Implementing Regulation (EU) 2022/1426 (type-approval of automated driving systems)
  • UN Regulation No. 157 (ALKS)
  • ISO 21448 (SOTIF)
  • SAE J3016 (levels of driving automation)
  • Royal Legislative Decree 8/2004 (motor vehicle insurance)
  • UL 4600 (safety of autonomous products)
Syllabus

6 modules · 300 h

  1. 1.1Levels of automation and what each one means for insurance
  2. 1.2Prototype, development fleet and validation vehicle
  3. 1.3Onboard safety operator versus driverless operation
  4. 1.4Test environments: closed circuit, private road and public road
  5. 1.5Data collection and validation mileage
  6. 1.6Typical testing failures: perception, planning and actuation
  7. 1.7Disengagements and control handovers as a risk indicator
  8. 1.8High-value onboard equipment: sensors and computing units
  9. 1.9Differences from insuring a production vehicle
  10. 1.10Workshop: risk sheet for a testing programme
  1. 2.1Public-road test authorisations and insurance requirements
  2. 2.2Small-series type-approval and testing exemptions
  3. 2.3European regulations on automated driving systems
  4. 2.4Obligations of the safety operator and their qualification
  5. 2.5Event data recording and retention obligation
  6. 2.6Data protection in recording the environment and the driver
  7. 2.7Reporting incidents to the authority
  8. 2.8Compulsory insurance: how it is evidenced for a prototype
  9. 2.9Conditions imposed by the administration on the permit
  10. 2.10Guided reading of a test authorisation resolution
  1. 3.1Liability of the vehicle owner and the test operator
  2. 3.2Manufacturer liability for defective products
  3. 3.3Liability for software and updates
  4. 3.4Allocation between developer, integrator and component supplier
  5. 3.5Injury to occupants of the test vehicle
  6. 3.6Damage to third parties: other vehicles, pedestrians and cyclists
  7. 3.7Employer liability towards the safety operator
  8. 3.8Direct action by the injured party and subsequent recovery
  9. 3.9Limits, sublimits and layered structure of the programme
  10. 3.10Practice: schedule of cover for a fleet of ten prototypes
  1. 4.1Damage to the prototype: valuing a vehicle not yet on the market
  2. 4.2Onboard equipment: sensors, lidar, radar and computing units
  3. 4.3Cover during transfers between test centres
  4. 4.4Fire risk in development electric vehicles
  5. 4.5Damage on closed circuits and at test facilities
  6. 4.6Loss of validation data and the cost of reconstructing it
  7. 4.7Delay to the development programme and extraordinary expenses
  8. 4.8Cyber risk cover for connected vehicles
  9. 4.9Intellectual property and confidentiality of the programme
  10. 4.10Comparative reading of two insurance proposals
  1. 5.1Immediate protocol following an incident during testing
  2. 5.2Preservation of evidence: records, video and software status
  3. 5.3Reconstruction of the event from vehicle data
  4. 5.4Determining whether the operator intervened
  5. 5.5Loss adjusting for damage to the vehicle and onboard equipment
  6. 5.6Coordination with the official investigation and with the manufacturer
  7. 5.7Public communication and reputation management
  8. 5.8Claims and recovery between the consortium parties
  9. 5.9Incorporating the finding into the validation programme
  10. 5.10Case study: intersection collision during urban testing
  1. 6.1Minimum information required to underwrite a testing programme
  2. 6.2Pricing: validation mileage, environment and system maturity
  3. 6.3Specialist market and limited appetite for this risk
  4. 6.4Phased programmes with review at milestones
  5. 6.5High deductibles and the insured's participation in the risk
  6. 6.6Reinsurance and capacity for high-value prototypes
  7. 6.7Prevention requirements: training, procedures and audit
  8. 6.8Indicators that improve renewal: disengagements per 1,000 km
  9. 6.9Transition from test insurance to commercial fleet insurance
  10. 6.10Final project: insurance programme for a robotaxi pilot
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is CARLA, IPG CarMaker, ROS 2, MATLAB/Simulink, Python (pandas), in free, academic or evaluation versions. Case studies are based on real procedures for analysing a public-road test plan and studying an incident involving an autonomous vehicle under test. Assessment is continuous, by module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-led Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with a track record in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, with cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Minimum information required to underwrite a testing programme

Characterise the risk of an autonomous vehicle in the testing phase.

Pricing: validation mileage, environment and system maturity

Apply the requirements for authorising tests on public roads.

Specialist market and limited appetite for this risk

Determine the civil liability of the promoter, the safety driver and the manufacturer.

Phased programmes with review at milestones

Design damage, equipment and project policies for a testing programme.

High deductibles and the insured's participation in the risk

Investigate a claim using vehicle data and test records.

Career opportunities

Where this takes you

Risk underwriter for technology and motor risksAutonomous driving validation engineerSafety manager for testing programmesLawyer in autonomous mobilityClaims adjuster for automated vehiclesInsurance broker for innovation projects
Admissions & scholarships

Requirements

  • No prior qualification is 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.

FAQ

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.

The course works with CARLA, IPG CarMaker, ROS 2, MATLAB/Simulink, Python (pandas). 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. This is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or Postgraduate Diploma in the same area can be credited towards the higher-level programme. Please check the credit recognition policy when you enrol.

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