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.
Course in Insurance for Autonomous Test Vehicles — studying from South Africa
South Africa has one of the more developed insurance and financial services sectors on the continent, with major insurers and reinsurers headquartered in Johannesburg and Cape Town. Actuarial and risk analysis skills are in demand for pricing, reserving and risk management. The Financial Sector Conduct Authority and the Prudential Authority regulate the sector, and insurers rely on data-driven models to meet capital and solvency requirements. Engineers with statistics and data skills are increasingly recruited into these roles.
Fees for South Africa: R 8 340 (South African rand), with instalments and employer sponsorship available.
Relevant bodies in South Africa
Typical roles
Questions from South Africa
Will a SEIUM qualification be recognised by the professional bodies in South Africa for this area?
SEIUM qualifications are private qualifications, not official state degrees, and they are not accredited by any South African body. Actuarial work in South Africa is overseen by the Actuarial Society of South Africa (ASSA), whose professional credentials follow their own examination and regulatory routes. Recognition of a SEIUM qualification is decided by employers or the relevant body, so verify this directly with them before enrolling.
How might this qualification be used by employers in South Africa in insurance and risk roles?
Insurers, banks and risk consultancies look for strong data, modelling and risk skills. A private qualification may support your profile, particularly alongside relevant experience, but it will not replace formal professional credentials where these are required. Whether a particular employer values it is up to them, so it is worth asking hiring managers in your target field how they would view it.
Can I study this programme alongside full-time work from South Africa, and is there a time zone or language issue?
Yes, the programme is delivered fully online and in English, so no student visa is needed to study from home. Master's programmes require 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours. Each student is assigned a technical tutor, fees can be paid in instalments, and employer sponsorship is possible. Ask SEIUM about the time-zone and weekly workload expectations before committing.
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
Characterise the risk of an autonomous vehicle in the testing phase.
Apply the requirements for authorising tests on public roads.
Determine the civil liability of the promoter, the safety driver and the manufacturer.
Design damage, equipment and project policies for a testing programme.
Investigate a claim using vehicle data and test records.
Analyse the insurance market and its underwriting criteria.
Prepare an insurance programme for a testing campaign.
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.
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)
6 modules · 300 h
1.1Levels of automation and what each one means for insurance1.2Prototype, development fleet and validation vehicle1.3Onboard safety operator versus driverless operation1.4Test environments: closed circuit, private road and public road1.5Data collection and validation mileage1.6Typical testing failures: perception, planning and actuation1.7Disengagements and control handovers as a risk indicator1.8High-value onboard equipment: sensors and computing units1.9Differences from insuring a production vehicle1.10Workshop: risk sheet for a testing programme
2.1Public-road test authorisations and insurance requirements2.2Small-series type-approval and testing exemptions2.3European regulations on automated driving systems2.4Obligations of the safety operator and their qualification2.5Event data recording and retention obligation2.6Data protection in recording the environment and the driver2.7Reporting incidents to the authority2.8Compulsory insurance: how it is evidenced for a prototype2.9Conditions imposed by the administration on the permit2.10Guided reading of a test authorisation resolution
3.1Liability of the vehicle owner and the test operator3.2Manufacturer liability for defective products3.3Liability for software and updates3.4Allocation between developer, integrator and component supplier3.5Injury to occupants of the test vehicle3.6Damage to third parties: other vehicles, pedestrians and cyclists3.7Employer liability towards the safety operator3.8Direct action by the injured party and subsequent recovery3.9Limits, sublimits and layered structure of the programme3.10Practice: schedule of cover for a fleet of ten prototypes
4.1Damage to the prototype: valuing a vehicle not yet on the market4.2Onboard equipment: sensors, lidar, radar and computing units4.3Cover during transfers between test centres4.4Fire risk in development electric vehicles4.5Damage on closed circuits and at test facilities4.6Loss of validation data and the cost of reconstructing it4.7Delay to the development programme and extraordinary expenses4.8Cyber risk cover for connected vehicles4.9Intellectual property and confidentiality of the programme4.10Comparative reading of two insurance proposals
5.1Immediate protocol following an incident during testing5.2Preservation of evidence: records, video and software status5.3Reconstruction of the event from vehicle data5.4Determining whether the operator intervened5.5Loss adjusting for damage to the vehicle and onboard equipment5.6Coordination with the official investigation and with the manufacturer5.7Public communication and reputation management5.8Claims and recovery between the consortium parties5.9Incorporating the finding into the validation programme5.10Case study: intersection collision during urban testing
6.1Minimum information required to underwrite a testing programme6.2Pricing: validation mileage, environment and system maturity6.3Specialist market and limited appetite for this risk6.4Phased programmes with review at milestones6.5High deductibles and the insured's participation in the risk6.6Reinsurance and capacity for high-value prototypes6.7Prevention requirements: training, procedures and audit6.8Indicators that improve renewal: disengagements per 1,000 km6.9Transition from test insurance to commercial fleet insurance6.10Final project: insurance programme for a robotaxi pilot
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.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Characterise the risk of an autonomous vehicle in the testing phase.
Apply the requirements for authorising tests on public roads.
Determine the civil liability of the promoter, the safety driver and the manufacturer.
Design damage, equipment and project policies for a testing programme.
Investigate a claim using vehicle data and test records.
Where this takes you
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.
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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