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Master’s in Technology, Autonomy & Road Safety Engineering

Online master's programme of 1,900 hours in Technology, Autonomy & Road Safety Engineering, structured in 12 modules covering the safe system approach, passive safety, ADAS, automated driving, functional safety and SOTIF, vehicle cybersecurity, infrastructure, accident analysis, liability and insurance, human factors and public policy, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Apply the safe system approach to road safety analysis.

02

Evaluate passive safety systems and ADAS.

03

Analyse the architecture and validation of automated driving.

04

Apply ISO 26262, ISO 21448 and ISO/SAE 21434.

05

Reconstruct and analyse accidents using vehicle data.

06

Interpret the allocation of liability between driver and manufacturer.

07

Propose evidence-based road safety policies and measures.

Profile

Who it's for

  • Road safety engineers looking to broaden their expertise in vehicle technology and autonomy.
  • ADAS specialists seeking a system-wide view of safety, regulation and validation.
  • Functional safety engineers moving into automated driving and SOTIF.
  • Accident reconstructionists who want to work with EDR and naturalistic driving data.
  • Autonomous vehicle risk analysts in the automotive and insurance sectors.
  • Mobility policy officers in traffic authorities and public administrations.
  • Engineering or science graduates aiming to enter the automotive industry.
Standards & tools

What you'll work with

  • Regulation (EU) 2019/2144 (type approval of vehicles as regards their general safety)
  • ISO 26262 (functional safety of road vehicles)
  • ISO 21448 (safety of the intended functionality, SOTIF)
  • UN Regulation No. 157 (ALKS)
  • UN Regulation No. 155 (cybersecurity)
  • ISO/SAE 21434 (cybersecurity engineering for road vehicles)
  • Directive 2008/96/EC (road infrastructure safety management)
  • SAE J3016 (taxonomy of driving automation)
  • IPG CarMaker
  • CARLA
  • PC-Crash
  • MATLAB/Simulink
  • Python
Syllabus

12 modules · 1900 h

  1. 1.1Safe system approach
  2. 1.2Vision Zero and European targets
  3. 1.3Human, vehicle and road factors
  4. 1.4Haddon Matrix
  5. 1.5Road accident statistics
  6. 1.6Vulnerable road users
  7. 1.7Road Safety Strategy 2030
  8. 1.8Social cost of accidents
  9. 1.9Safety performance indicators
  10. 1.10Case study: road accident diagnosis for a province
  1. 2.1Injury biomechanics
  2. 2.2Energy-absorbing structures
  3. 2.3Restraint systems
  4. 2.4Euro NCAP protocols
  5. 2.5Frontal and side crash tests
  6. 2.6Pedestrian protection
  7. 2.7EU type approval
  8. 2.8UNECE/UN Regulations
  9. 2.9General Safety Regulation for vehicles
  10. 2.10Practical exercise: analysis of a Euro NCAP report
  1. 3.1Autonomous emergency braking
  2. 3.2Lane keeping
  3. 3.3Adaptive cruise control
  4. 3.4Drowsiness and distraction detection
  5. 3.5Intelligent speed assistance
  6. 3.6Sensors: radar, camera and LiDAR
  7. 3.7Sensor fusion
  8. 3.8Limitations and edge cases
  9. 3.9Effectiveness of ADAS in accidents
  10. 3.10Lab: evaluation of an AEB system with test data
  1. 4.1SAE J3016 levels
  2. 4.2Operational design domain
  3. 4.3Perception, decision and control architecture
  4. 4.4ALKS systems and UN Regulation 157
  5. 4.5Driverless autonomous vehicles
  6. 4.6Teleoperation
  7. 4.7Human-machine interaction and takeover
  8. 4.8Scenario-based validation
  9. 4.9Simulation and track testing
  10. 4.10Case study: defining the ODD of a robotaxi service
  1. 5.1ISO 26262 and ASIL levels
  2. 5.2HARA analysis
  3. 5.3Safety architectures
  4. 5.4Safe software requirements
  5. 5.5ISO 21448 and the intended functionality
  6. 5.6Unknown and hazardous scenarios
  7. 5.7UL 4600 and safety cases
  8. 5.8Autonomous vehicle safety metrics
  9. 5.9Audits and assessments
  10. 5.10Practical exercise: HARA of a lane-keeping function
  1. 6.1UN Regulation 155
  2. 6.2ISO/SAE 21434
  3. 6.3Cybersecurity management system
  4. 6.4TARA analysis
  5. 6.5Software updates and UN Regulation 156
  6. 6.6V2X communications security
  7. 6.7Attacks on sensors
  8. 6.8Fleet incident response
  9. 6.9Implications for insurance
  10. 6.10Workshop: TARA of a telematics unit
  1. 7.1Safe road design
  2. 7.2Road safety audits
  3. 7.3Directive 2008/96/EC on road infrastructure safety management
  4. 7.4Road section assessment with iRAP
  5. 7.5Machine-readable signage
  6. 7.6C-ITS connected infrastructure
  7. 7.7Speed management
  8. 7.8Intersections and roundabouts
  9. 7.9Road maintenance and condition
  10. 7.10Practical exercise: safety audit of a road section
  1. 8.1Accident databases
  2. 8.2Event data recorders (EDR)
  3. 8.3Accident reconstruction
  4. 8.4In-depth accident analysis
  5. 8.5Naturalistic driving data
  6. 8.6Accident prediction models
  7. 8.7Before-and-after evaluation
  8. 8.8Counterfactual analysis of ADAS
  9. 8.9Safety data visualisation
  10. 8.10Lab: reconstruction with EDR data
  1. 9.1Driver civil liability
  2. 9.2Manufacturer liability
  3. 9.3Defective Products Directive
  4. 9.4Compulsory insurance and automated vehicles
  5. 9.5Recoveries between insurers and manufacturers
  6. 9.6Data access after an accident
  7. 9.7Impact of ADAS on premiums
  8. 9.8New products for autonomous vehicles
  9. 9.9Comparative legal frameworks
  10. 9.10Case study: allocating liability in an ALKS accident
  1. 10.1Attention and distraction
  2. 10.2Fatigue and drowsiness
  3. 10.3Trust and complacency in automation
  4. 10.4Situational awareness
  5. 10.5Interface design
  6. 10.6Older and novice drivers
  7. 10.7Alcohol and drugs
  8. 10.8Driver training
  9. 10.9Social acceptance of autonomy
  10. 10.10Practical exercise: takeover transition study in a simulator
  1. 11.1European regulation of automated vehicles
  2. 11.2Spanish framework for autonomous vehicle testing
  3. 11.3Ethics of algorithmic decision-making
  4. 11.4Vehicle data privacy
  5. 11.5Equity in mobility
  6. 11.6Policy impact assessment
  7. 11.7Road safety governance
  8. 11.8Risk communication
  9. 11.9Public-private collaboration
  10. 11.10Workshop: evaluation of a speed policy
  1. 12.1Definition of the road safety problem
  2. 12.2State-of-the-art review
  3. 12.3Data selection and methodology
  4. 12.4Scenario analysis
  5. 12.5Evaluation of technologies or measures
  6. 12.6Liability and insurance analysis
  7. 12.7Recommendations
  8. 12.8Conclusions
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
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: you progress at your own pace within the intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is IPG CarMaker, CARLA, PC-Crash, MATLAB/Simulink and Python, in free, academic or evaluation versions. Testing is studied through real procedures: evaluation of ADAS systems with test and accident data, accident reconstruction with EDR recorders, and road safety audits of infrastructure. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Regulation (EU) 2019/2144, ISO 26262, ISO 21448 (SOTIF), UN Regulation No. 157 (ALKS), UN Regulation No. 155, ISO/SAE 21434, Directive 2008/96/EC and SAE J3016.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulation (EU) 2019/2144, ISO 26262 and ISO 21448 applied to real cases, not as a theoretical annex.
Industry software:IPG CarMaker, CARLA, PC-Crash, MATLAB/Simulink and Python, in free, academic or evaluation versions.
Master's Thesis with defence:A road safety project evaluating technologies or measures, with liability and insurance analysis, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

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

Road safety diagnosis
Diagnose the accident record of a region using safety performance indicators.
ADAS and ODD assessment
Evaluate an AEB system with test data and define the ODD of an automated service.
Safety and cyber analysis
Carry out a HARA of a lane-keeping function and a TARA of a telematics unit.
Accident reconstruction
Reconstruct an accident with EDR data and allocate liability between driver and manufacturer.
Master's Thesis
Road safety project evaluating technologies or measures with recommendations, defended before a panel.
Career opportunities

Where this takes you

Road safety engineerADAS specialistFunctional safety engineerAccident reconstructionistAutonomous vehicle risk analystMobility policy officer
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • An internet connection and a computer capable of running the programme's software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with IPG CarMaker, CARLA, PC-Crash, MATLAB/Simulink and Python, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme's software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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