Course in Emerging Regulations in Autonomous Mobility
Online 300-hour course in emerging regulations in autonomous mobility. 6 modules covering Implementing Regulation (EU) 2022/1426 (automated driving systems), UN Regulation No. 157 (ALKS) and CARLA (simulator). Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Explain the levels of automation and their regulatory implications.
Interpret the European and international framework for type approval of automated vehicles.
Analyse the allocation of liability between driver, manufacturer and operator.
Evaluate data requirements, event recording and safety validation.
Compare insurance models applicable to automated driving.
Assess the constraints of urban deployment and social acceptance.
Prepare a regulatory analysis of an autonomous mobility service.
Who it's for
- Vehicle automation regulation analyst looking to specialise in Emerging Regulations in Autonomous Mobility.
- Autonomous mobility risk underwriter looking to specialise in Emerging Regulations in Autonomous Mobility.
- Type approval consultant looking to specialise in Emerging Regulations in Autonomous Mobility.
- Functional safety manager looking to specialise in Emerging Regulations in Autonomous Mobility.
- Mobility legal adviser looking to specialise in Emerging Regulations in Autonomous Mobility.
- Transport public policy analyst looking to specialise in Emerging Regulations in Autonomous Mobility.
- Graduates in engineering or science seeking to join vehicle manufacturers.
What you'll work with
- Implementing Regulation (EU) 2022/1426 (automated driving systems)
- UN Regulation No. 157 (ALKS)
- UN Regulation No. 155 (vehicle cybersecurity)
- ISO 26262 (functional safety in automotive)
- ISO 21448 (SOTIF)
- Directive (EU) 2024/2853 (defective products)
- Automated Vehicles Act 2024 (United Kingdom)
6 modules · 300 h
1.1Levels of driving automation1.2Difference between driver assistance and automated driving1.3Operational design domain1.4Perception, decision and actuation architecture1.5Transfer of control and its risks1.6Autonomous vehicles and automated public transport1.7Current state of deployment1.8Sector vocabulary and acronyms1.9Common unfounded expectations1.10Exercise: defining the operational domain of a service
2.1Type approval of automated vehicles2.2Applicable international regulations2.3Automated driving system requirements2.4Event data recorder requirements2.5Cybersecurity and software updates2.6Authorisations for road testing2.7Supervision and remote operator requirements2.8National and municipal regulations2.9Foreseeable regulatory developments2.10Practice: regulatory map of a deployment
3.1Liability of the driver and the holder3.2Manufacturer liability for products3.3Directive on liability for defective products3.4Burden of proof and access to data3.5Compulsory insurance and its evolution3.6Allocation between insurer and manufacturer3.7Recourse against the manufacturer or software supplier3.8Coverage of software and connectivity failures3.9Known cases and litigation3.10Practice: allocation of liability in a case study
4.1Vehicle data recording and access4.2Validation testing and critical scenarios4.3Simulation and its role in type approval4.4Safety metrics and their interpretation4.5Comparison with human driving4.6Protection of occupant and third-party data4.7Transparency of automated systems4.8Algorithm auditing4.9Management and approval of updates4.10Practice: validation plan for a service
5.1Service authorisation in a city5.2Relationship with the local regulator5.3Supporting infrastructure and signage5.4Interaction with pedestrians and cyclists5.5Incident and emergency management5.6Public communication and trust5.7Training of operations staff5.8Safety and service indicators5.9Continuous evaluation of deployment5.10Practice: authorisation file for a service
6.1Choice of service and operational domain6.2Applicable regulatory map6.3Liability and insurance analysis6.4Validation and data plan6.5Authorisation file6.6Incident management plan6.7Public communication plan6.8Monitoring indicators6.9Project report6.10Project defence
How you'll learn
Training 100 % online on the SEIUM campus, with downloadable material, recorded lectures and an assigned technical tutor. 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 standard and applied exercises. The working software is CARLA (simulator), MATLAB/Simulink, IPG CarMaker, Python (pandas), in free, academic or evaluation versions. Practice is based on real procedures for analysing validation scenarios, reviewing road test reports and studying case files of incidents involving automated vehicles. Assessment is continuous per 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 levels of automation and their regulatory implications.
Interpret the European and international framework for type approval of automated vehicles.
Analyse the allocation of liability between driver, manufacturer and operator.
Evaluate data requirements, event recording and safety validation.
Compare insurance models applicable to automated driving.
Where this takes you
Requirements
- No prior degree required.
- Internet connection and a computer capable of running the programme's software.
- Spanish proficiency sufficient 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 between 10 and 15 hours per week on average, compatible with a full-time job.
The programme uses CARLA (simulator), MATLAB/Simulink, IPG CarMaker and Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the 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 can be recognised towards the higher programme. Check the recognition policy when you enrol.
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