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Master’s in ODD Definition and Operational Risk Management Engineering

Online master's programme of 1,900 hours in ODD definition and operational risk management engineering: 12 modules covering formal ODD specification, operational risk analysis, real-time ODD monitoring, ODD exits, safety management systems, indicators, incident management, ODD expansion, regulation and safety culture, 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

Formally specify the ODD of an automated system.

02

Analyse operational risks using structured techniques.

03

Design real-time ODD monitoring.

04

Manage ODD exits safely.

05

Implement operational safety management systems.

06

Define indicators and manage incidents.

07

Develop an ODD and operational risk management project.

Profile

Who it's for

  • Operational safety managers.
  • ODD engineers.
  • Risk analysts.
  • Autonomous fleet operations managers.
  • Incident investigators.
  • Regulatory specialists.
  • Engineering or science graduates seeking to enter autonomous driving.
Standards & tools

What you'll work with

  • ISO 34503 (ODD taxonomy for automated driving systems)
  • BSI PAS 1883 (ODD specification taxonomy)
  • ISO 31000 (risk management guidelines)
  • ISO 21448 (SOTIF — safety of the intended functionality)
  • Implementing Regulation (EU) 2022/1426 (type approval of automated driving systems)
  • UL 4600 (safety evaluation of autonomous products)
  • ISO 26262 (road vehicle functional safety)
  • ISO/IEC 31010 (risk assessment techniques)
  • Python
  • QGIS
  • BowTieXP
  • Power BI
  • CARLA
Syllabus

12 modules · 1900 h

  1. 1.1Relationship between ODD, safety and operations
  2. 1.2Operational risk in autonomous services
  3. 1.3Differences between design risk and operational risk
  4. 1.4ISO 34503 and PAS 1883 standards
  5. 1.5Risk management under ISO 31000
  6. 1.6Safety management systems
  7. 1.7Experience from aviation and rail
  8. 1.8Operator responsibilities
  9. 1.9Landmark operational incidents
  10. 1.10Case study: analysis of an operational incident
  1. 2.1Taxonomy of ODD attributes
  2. 2.2Scenery, environment and dynamics
  3. 2.3Infrastructure and road attributes
  4. 2.4Weather and lighting conditions
  5. 2.5Traffic and road-user attributes
  6. 2.6Quantitative specification of limits
  7. 2.7Specification languages
  8. 2.8Traceability between ODD and requirements
  9. 2.9ODD review and versioning
  10. 2.10Lab: formal ODD in a structured format
  1. 3.1Identification of operational hazards
  2. 3.2Bow-tie analysis of threats and consequences
  3. 3.3STPA analysis of operations
  4. 3.4Operational risk matrices
  5. 3.5ALARP acceptance criteria
  6. 3.6Prevention and mitigation barriers
  7. 3.7Human factors risks
  8. 3.8Infrastructure risks
  9. 3.9Operational risk register
  10. 3.10Practical exercise: bow-tie for ODD exit
  1. 4.1Sensors for ODD conditions
  2. 4.2Weather services and alerts
  3. 4.3Traffic monitoring
  4. 4.4Detection of roadworks on the route
  5. 4.5Dynamic geofences and restricted zones
  6. 4.6Exit decision logic
  7. 4.7Independent ODD monitors
  8. 4.8Logging and traceability
  9. 4.9Monitor validation
  10. 4.10Workshop: ODD monitor with open data
  1. 5.1Classification of ODD exits
  2. 5.2Transition to the driver
  3. 5.3Minimal risk manoeuvres
  4. 5.4Remote operator assistance
  5. 5.5Service recovery
  6. 5.6Communication to passengers
  7. 5.7Coordination with authorities
  8. 5.8Analysis of exits
  9. 5.9Reducing their frequency
  10. 5.10Lab: simulation of ODD exits
  1. 6.1Structure of an SMS
  2. 6.2Safety policy
  3. 6.3Safety risk management
  4. 6.4Safety assurance
  5. 6.5Safety promotion
  6. 6.6Just culture and reporting
  7. 6.7Safety performance indicators (SPIs)
  8. 6.8Management of change
  9. 6.9Internal SMS audits
  10. 6.10Practical exercise: SMS for a robotaxi operator
  1. 7.1Leading and lagging indicators
  2. 7.2Event rate per kilometre
  3. 7.3Disengagements and interventions
  4. 7.4Near-miss logging
  5. 7.5Exploiting fleet data
  6. 7.6Operational data quality
  7. 7.7Safety dashboards
  8. 7.8Comparison with a human benchmark
  9. 7.9Reports to authorities
  10. 7.10Workshop: safety indicator dashboard
  1. 8.1Incident classification
  2. 8.2Immediate incident response
  3. 8.3Incident investigation methodology
  4. 8.4Root cause analysis
  5. 8.5Corrective and preventive actions
  6. 8.6External and media communication
  7. 8.7Regulatory incident reporting
  8. 8.8Organisational learning after incidents
  9. 8.9Crisis management
  10. 8.10Case study: investigation of an incident
  1. 9.1Gradual expansion strategies
  2. 9.2Evidence required to expand
  3. 9.3Validation of new conditions
  4. 9.4Risk management during expansion
  5. 9.5Staged deployment by zone
  6. 9.6Post-expansion monitoring
  7. 9.7Communicating changes
  8. 9.8Regulatory approvals for expansion
  9. 9.9Lessons from operators
  10. 9.10Practical exercise: expansion case to rain
  1. 10.1Requirements of the European ADS Regulation
  2. 10.2In-service monitoring
  3. 10.3Reporting requirements
  4. 10.4Oversight by authorities
  5. 10.5Regulation of operators in the US
  6. 10.6Regulation in China
  7. 10.7Regulatory audits of the operator
  8. 10.8Applicable penalty regime
  9. 10.9Trends in regulatory oversight
  10. 10.10Workshop: in-service monitoring plan
  1. 11.1Organisational structure for safety
  2. 11.2Roles and responsibilities
  3. 11.3Staff training
  4. 11.4Safety culture
  5. 11.5Internal safety communication
  6. 11.6Independence of the safety function
  7. 11.7Supplier management
  8. 11.8Safety resources and budget
  9. 11.9Continuous organisational improvement
  10. 11.10Case study: designing a safety organisation
  1. 12.1Formal ODD definition
  2. 12.2Operational risk analysis
  3. 12.3Monitoring design
  4. 12.4Exit management
  5. 12.5SMS design
  6. 12.6Safety indicators
  7. 12.7Expansion plan
  8. 12.8Conclusions and future work
  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. There are no fixed timetables: you progress at your own pace within each intake, making it compatible with full-time work.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is Python, QGIS, BowTieXP, Power BI and CARLA, in free, academic or evaluation versions. Work is based on real procedures for bow-tie analysis of operational risks, ODD monitoring with real-time data and investigation of operational incidents. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO 34503, BSI PAS 1883, ISO 31000, ISO 21448, Implementing Regulation (EU) 2022/1426 (ADS), UL 4600, ISO 26262, ISO/IEC 31010.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 34503, BSI PAS 1883, ISO 31000 and UL 4600 applied to real cases, not as a theoretical annex.
Industry software:Python, QGIS, BowTieXP, Power BI and CARLA, in free, academic or evaluation versions.
Master's Thesis with defence:A complete ODD and operational risk project, from formal ODD definition and risk analysis to monitoring, exit management, SMS, indicators and expansion plan, 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.

Formal ODD and risk
Define the ODD formally and analyse the operational risks.
Monitoring and exits
Design real-time ODD monitoring and the management of ODD exits.
Safety management system
Design the SMS and its safety performance indicators.
Expansion plan
Draw up an evidence-based plan for progressive ODD expansion.
Master's Thesis
Present the conclusions of the ODD and operational risk project, defended before a panel.
Career opportunities

Where this takes you

Operational Safety ManagerODD EngineerRisk AnalystAutonomous Fleet Operations ManagerIncident InvestigatorRegulatory Specialist
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 Python, QGIS, BowTieXP, Power BI and CARLA, 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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