Postgraduate DiplomaAutonomous, ADAS & Software-Defined Vehicle Applications open

Diploma in ODD Definition and Operational Readiness

Online postgraduate diploma of 800 hours in ODD definition and operational readiness. 8 modules covering the operational design domain, ODD taxonomies and languages, real-environment characterisation, in-service ODD monitoring, readiness assessment, progressive deployment and regulation, with ISO 34503:2023, BSI PAS 1883:2020 and SAE J3016, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Understand the role of the ODD in the safety of automated systems.

02

Specify ODDs using standardised taxonomies.

03

Characterise the real operating environment and its gaps.

04

Design real-time ODD monitoring.

05

Assess operational readiness before deployment.

06

Plan progressive ODD expansions.

07

Prepare the regulatory documentation for the ODD.

Profile

Who it's for

  • ODD engineers defining where automated systems may operate.
  • Operations safety managers in autonomous mobility companies.
  • Autonomous driving systems engineers linking capabilities to the ODD.
  • Mobility geospatial analysts characterising service areas.
  • Fleet deployment managers planning launches and expansions.
  • Type-approval consultants preparing ODD documentation.
  • Engineering or science graduates looking to enter autonomous driving companies.
Standards & tools

What you'll work with

  • ISO 34503:2023 (ODD taxonomy for automated driving systems)
  • BSI PAS 1883:2020 (ODD taxonomy specification)
  • SAE J3016 (levels of driving automation)
  • ISO/TS 5083:2025 (safety for automated driving systems)
  • UL 4600 (safety of autonomous products)
  • Regulation (EU) 2022/1426 (type approval of automated driving systems)
  • ISO 21448:2022 (safety of the intended functionality, SOTIF)
  • UNECE R157 (Automated Lane Keeping Systems)
  • QGIS
  • esmini
  • Python with GeoPandas
  • Foretellix Foretify
  • Jama Connect
Syllabus

8 modules

  1. 1.1Origin of the concept in SAE J3016
  2. 1.2ODD, COD and TOD: design, current and target
  3. 1.3Relationship between ODD, scenarios and capabilities
  4. 1.4The ODD as a contract between manufacturer and operator
  5. 1.5Influence of the ODD on the safety case
  6. 1.6ODD examples from commercial systems
  7. 1.7Common mistakes when bounding the ODD
  8. 1.8Interaction between ODD and regulation
  9. 1.9Communicating the ODD to the user
  10. 1.10Case study: comparing the ODDs of two robotaxis
  1. 2.1The BSI PAS 1883 taxonomy
  2. 2.2Structure of ISO 34503
  3. 2.3Scenery, environment and dynamic element attributes
  4. 2.4Machine-readable formats and specification languages
  5. 2.5Inclusions, exclusions and conditionals
  6. 2.6Granularity and level of abstraction
  7. 2.7Ontologies of the road domain
  8. 2.8ODD editing tools
  9. 2.9Consistency between the ODD and the scenario catalogue
  10. 2.10Workshop: specifying an ODD with PAS 1883
  1. 3.1Collecting data on the operating area
  2. 3.2Analysis of road infrastructure and signage
  3. 3.3Weather and lighting statistics
  4. 3.4Traffic patterns and vulnerable road users
  5. 3.5School zones, roadworks and events
  6. 3.6Map quality and connectivity
  7. 3.7Comparing the target ODD with the real environment
  8. 3.8Capability gap analysis
  9. 3.9GIS tools for the analysis
  10. 3.10Practical exercise: GIS characterisation of an urban service area
  1. 4.1Detecting out-of-ODD conditions
  2. 4.2Sources: sensors, maps, weather and V2X
  3. 4.3Margins and anticipating ODD exit
  4. 4.4Responses: degradation, transition and minimal risk
  5. 4.5Managing geographical boundaries
  6. 4.6Dynamic updating of restrictions
  7. 4.7Logging ODD exits
  8. 4.8Functional safety of the ODD monitor
  9. 4.9Validating the monitor
  10. 4.10Laboratory: ODD monitor with weather and map data
  1. 5.1The concept of operational readiness
  2. 5.2Technical release criteria
  3. 5.3Operational criteria: staff, procedures and support
  4. 5.4Organisational and safety management criteria
  5. 5.5Operational readiness reviews
  6. 5.6Pre-deployment safety indicators
  7. 5.7Internal approval and responsibilities
  8. 5.8Independent assessment according to UL 4600
  9. 5.9Documenting the deployment decision
  10. 5.10Workshop: readiness checklist for a shuttle
  1. 6.1Phased strategy: testing, pilot and commercial service
  2. 6.2Safety drivers and their removal
  3. 6.3Geographical and temporal expansion
  4. 6.4Expansion to new weather conditions
  5. 6.5Evidence required for each expansion
  6. 6.6Change management and its impact on the safety case
  7. 6.7Progress indicators and rollback criteria
  8. 6.8Communication with authorities and the public
  9. 6.9Lessons from commercial deployments
  10. 6.10Case study: plan to expand the ODD to night-time driving
  1. 7.1ODD declaration under Regulation (EU) 2022/1426
  2. 7.2The ODD in UNECE R157
  3. 7.3ISO/TS 5083 requirements
  4. 7.4Zone-based operating authorisations
  5. 7.5Auditing ODD compliance
  6. 7.6ODD verification by the technical service
  7. 7.7Operating reports to the authority
  8. 7.8Differences between jurisdictions
  9. 7.9Liability for operations outside the ODD
  10. 7.10Practical exercise: ODD dossier for an authorisation application
  1. 8.1Selecting the system and service area
  2. 8.2ODD specification
  3. 8.3Characterisation of the real environment
  4. 8.4ODD monitor design
  5. 8.5Readiness assessment
  6. 8.6Progressive deployment plan
  7. 8.7Regulatory analysis
  8. 8.8Deployment decision report
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

The programme is delivered 100% online 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, so it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. You work with QGIS, esmini, Python with GeoPandas, Foretellix Foretify and Jama Connect, in free, academic or evaluation versions. Testing is studied through real procedures: geospatial characterisation of the service area, validation of the ODD monitor in simulation, and operational readiness reviews. Assessment is continuous by module, plus the final project.

Standards covered: ISO 34503:2023, BSI PAS 1883:2020, SAE J3016, ISO/TS 5083:2025, UL 4600, Regulation (EU) 2022/1426, ISO 21448:2022, UNECE R157.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 34503:2023, BSI PAS 1883:2020 and SAE J3016 applied to real cases, not as a theoretical annex.
Industry software:QGIS, esmini, Python with GeoPandas, Foretellix Foretify and Jama Connect, in free, academic or evaluation versions.
Final project:A complete ODD specification and readiness case for an automated service, from environment characterisation to the deployment decision, reviewed by your tutor.
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.

ODD specification
Select the system and service area and specify its ODD with a standardised taxonomy.
Environment characterisation
Characterise the real operating environment with GIS and identify capability gaps.
ODD monitor design
Design the in-service ODD monitor and its responses to ODD exits.
Readiness and deployment plan
Assess operational readiness and plan the progressive deployment.
Final project
Present the regulatory analysis and the deployment decision report.
Career opportunities

Where this takes you

ODD engineerOperations safety managerAutonomous driving systems engineerMobility geospatial analystFleet deployment managerType-approval consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • An internet connection and a computer capable of running the programme 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.

FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with QGIS, esmini, Python with GeoPandas, Foretellix Foretify and Jama Connect, 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), a computer able to run the 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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