Course on the Impact of the AI Act on Mobility Insurance
300-hour online course on the impact of the AI Act on mobility insurance. 6 modules covering Regulation (EU) 2024/1689 on artificial intelligence, Regulation (EU) 2016/679 (GDPR), Art. 22 and Python (Fairlearn). Assigned tutor and open enrolment.
Course on the Impact of the AI Act on Mobility Insurance — 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 10 200 (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
Explain the structure and timetable of the AI Act.
Classify mobility insurance AI use cases by risk level.
Apply the obligations for high-risk systems where they apply.
Detect and mitigate bias in pricing and claims models.
Ensure transparency and human oversight of decisions.
Coordinate the AI Act with the GDPR and equality legislation.
Design an implementation plan for the Regulation within an organisation.
Who it's for
- AI compliance officer wishing to specialise in the Impact of the AI Act on mobility insurance.
- Algorithm auditor wishing to specialise in the Impact of the AI Act on mobility insurance.
- Mobility data scientist wishing to specialise in the Impact of the AI Act on mobility insurance.
- Data protection officer wishing to specialise in the Impact of the AI Act on mobility insurance.
- Model risk manager wishing to specialise in the Impact of the AI Act on mobility insurance.
- AI regulatory consultant wishing to specialise in the Impact of the AI Act on mobility insurance.
- Engineering or science graduates seeking to enter motor and mobility insurance.
What you'll work with
- Regulation (EU) 2024/1689 on artificial intelligence
- Regulation (EU) 2016/679 (GDPR), Art. 22
- Directive 2004/113/EC (equal treatment in goods and services)
- Law 15/2022 on comprehensive equal treatment
- ISO/IEC 42001 (AI management systems)
- ISO/IEC 23894 (AI risk management)
- ISO/IEC TR 24027 (bias in AI systems)
6 modules · 300 h
1.1Structure of the Regulation and its risk-based logic1.2Prohibited practices and their scope1.3High-risk systems relevant to insurance1.4General-purpose AI models1.5Obligations by role: provider and deployer1.6Interaction with insurance regulation1.7Sector vocabulary and acronyms1.8Application timetable1.9Supervision and penalties1.10Exercise: classifying an organisation's systems
2.1Pricing and risk selection2.2Fraud detection2.3Claims automation2.4Conversational assistants2.5Telematics and driving-score models2.6Perception systems in insured vehicles2.7Damage assessment tools2.8Marketing and segmentation2.9Classifying each case by risk level2.10Practice: inventory and classification of systems
3.1Risk management system for the model3.2Data governance and quality3.3Required technical documentation3.4Automatic event logging3.5Transparency and instructions for use3.6Effective human oversight3.7Accuracy, robustness and cybersecurity3.8Conformity assessment3.9Registration in the EU database3.10Practice: technical documentation index
4.1Bias and discrimination in insurance4.2Fundamental rights impact assessment4.3Right to an explanation of the decision4.4Right to human review4.5Interaction with data protection4.6Informing customers about the use of AI4.7Complaints and their management4.8Independent model audit4.9Documenting design decisions4.10Practice: impact assessment of a model
5.1Model inventory and governance5.2Allocation of responsibilities5.3Internal AI use policy5.4Model supplier control5.5Team training5.6Continuous monitoring and drift5.7Serious incident management5.8Internal and supervisory reporting5.9Compliance roadmap5.10Practice: internal AI use policy
6.1Selecting the organisation and its systems6.2Inventory and risk classification6.3Analysis of applicable obligations6.4Technical documentation of a system6.5Impact and bias assessment6.6Designing human oversight6.7Governance and training plan6.8Compliance roadmap6.9Project report6.10Project defence
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the course with work.
Each module combines theory, guided reading of the original regulation and applied exercises. The working software is Python (Fairlearn), SHAP, IBM AI Fairness 360, MLflow, in free, academic or evaluation versions. The tests are studied using real procedures for inventorying and classifying AI systems, bias audits of pricing models and fundamental rights impact assessments. Assessment is continuous, module 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.
Explain the structure and timetable of the AI Act.
Classify mobility insurance AI use cases by risk level.
Apply the obligations for high-risk systems where they apply.
Detect and mitigate bias in pricing and claims models.
Ensure transparency and human oversight of decisions.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level 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.
Frequently asked questions
The programme comprises 300 hours in total, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
The course uses Python (Fairlearn), SHAP, IBM AI Fairness 360 and MLflow. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM Institute diploma on 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 are credited towards the advanced programme. Please consult the credit transfer policy when enrolling.
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