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Postgraduate Diploma in Advanced SOTIF: ODD, Scenarios and Insufficient Performance

Online 800-hour Postgraduate Diploma in Advanced SOTIF: ODD, Scenarios and Insufficient Performance. 8 modules covering ISO 21448:2022, ISO 34502:2022 and IPG CarMaker. Assigned tutor and open enrolment.

Duration800 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 ISO 21448 lifecycle to automated driving functions.

02

Specify complete and verifiable operational design domains.

03

Identify triggering conditions by sensor and function.

04

Quantify insufficient perception and decision performance.

05

Generate risk-based critical scenarios.

06

Estimate residual risk with robust statistical arguments.

07

Design field monitoring and continuous improvement plans.

Profile

Who it's for

  • SOTIF engineer looking to specialise in Advanced SOTIF: ODD, Scenarios and Insufficient Performance.
  • ADAS safety manager who wants to specialise in Advanced SOTIF: ODD, Scenarios and Insufficient Performance.
  • Scenario validation engineer who wants to specialise in Advanced SOTIF: ODD, Scenarios and Insufficient Performance.
  • Residual risk analyst who wants to specialise in Advanced SOTIF: ODD, Scenarios and Insufficient Performance.
  • Perception engineer who wants to specialise in Advanced SOTIF: ODD, Scenarios and Insufficient Performance.
  • Homologation consultant who wants to specialise in Advanced SOTIF: ODD, Scenarios and Insufficient Performance.
  • Graduates in engineering or sciences seeking to join car manufacturers.
Standards & tools

What you'll work with

  • ISO 21448:2022
  • ISO 34502:2022
  • ISO 34503:2023
  • ISO 26262:2018
  • UL 4600
  • ISO/PAS 8800:2024
  • ISO/TS 5083:2025
  • Reglamento (UE) 2022/1426
Syllabus

8 modules · 800 h

  1. 1.1Specification insufficiencies versus random failures
  2. 1.2Limitations of sensor and algorithm performance
  3. 1.3Model of known, unknown, safe and unsafe areas
  4. 1.4Relationship between SOTIF and ISO 26262
  5. 1.5Reasonably foreseeable driver misuse
  6. 1.6Acceptance criteria and residual risk
  7. 1.7Iterative cycle of specification and verification
  8. 1.8Lessons from ADAS field incidents
  9. 1.9Process documentation and work products
  10. 1.10Case study: classifying a phantom braking incident
  1. 2.1ODD taxonomy according to ISO 34503
  2. 2.2Scenario, environment and dynamics attributes
  3. 2.3Weather conditions and lighting
  4. 2.4Road infrastructure and road types
  5. 2.5Speed limits and traffic density
  6. 2.6Real-time ODD monitoring
  7. 2.7ODD exit and minimal risk manoeuvre
  8. 2.8Machine-readable ODD formats
  9. 2.9Specification version management
  10. 2.10Workshop: ODD of a motorway traffic jam assistant
  1. 3.1Concept of triggering condition
  2. 3.2Systematic analysis by sensor and function
  3. 3.3Guide words applied to perception
  4. 3.4Effects of rain, fog and glare
  5. 3.5Reflections, occlusions and atypical objects
  6. 3.6Borderline cases in classification and tracking
  7. 3.7Interactions with other road users
  8. 3.8Prioritisation by exposure and severity
  9. 3.9Recording and traceability of conditions
  10. 3.10Practice: catalogue of conditions for a front camera
  1. 4.1Detection metrics: precision, recall and mAP
  2. 4.2False positives versus false negatives
  3. 4.3Epistemic and aleatoric uncertainty
  4. 4.4Confidence calibration in neural networks
  5. 4.5Radar degradation due to multipath
  6. 4.6Noise and density of lidar point clouds
  7. 4.7Sensor fusion and diverse redundancy
  8. 4.8Out-of-distribution detection
  9. 4.9Quantitative performance requirements
  10. 4.10Laboratory: error analysis of a pedestrian detector
  1. 5.1Functional, logical and concrete scenarios
  2. 5.2Risk-based methodology of ISO 34502
  3. 5.3Parameter space and sampling
  4. 5.4Search for critical scenarios using optimisation
  5. 5.5Criticality metrics: TTC, THW and PET
  6. 5.6Cut-in, cut-out and hard braking scenarios
  7. 5.7Description with ASAM OpenSCENARIO
  8. 5.8Accident databases as a source
  9. 5.9Scenario coverage and stopping criteria
  10. 5.10Workshop: logical merging scenarios with OpenSCENARIO
  1. 6.1Validation objectives and acceptable rate
  2. 6.2Statistical argument based on kilometres driven
  3. 6.3Confidence intervals and the Poisson distribution
  4. 6.4Importance sampling for rare events
  5. 6.5Combining simulation, track and road testing
  6. 6.6Long-duration fleet testing
  7. 6.7Analysis of disengagements and field events
  8. 6.8GAMAB criterion and risk references
  9. 6.9Evidence for product release
  10. 6.10Case study: calculating validation mileage
  1. 7.1Field monitoring after launch
  2. 7.2Logging of event data and triggers
  3. 7.3Root cause analysis of incidents
  4. 7.4Updating for unknown scenarios
  5. 7.5Change management and new versions
  6. 7.6Feedback to ODD and requirements
  7. 7.7Coordination with cybersecurity and functional safety
  8. 7.8Safety metrics in operation
  9. 7.9Periodic audits and assessments
  10. 7.10Practice: field monitoring plan for an ALKS
  1. 8.1Selection of the automated function
  2. 8.2Functional and ODD specification
  3. 8.3SOTIF hazard analysis
  4. 8.4Catalogue of triggering conditions
  5. 8.5Design of improvement measures
  6. 8.6Scenario-based verification strategy
  7. 8.7Residual risk estimation
  8. 8.8Release argument
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Training 100 % online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is IPG CarMaker, esmini, MATLAB Automated Driving Toolbox, Foretellix Foretify, CARLA, in free, academic or evaluation versions. Tests are studied using real procedures for analysing triggering conditions in simulation, validating critical scenarios on track, and analysing fleet data on open roads. Assessment is continuous per module plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

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

Selection of the automated function

Apply the ISO 21448 lifecycle to automated driving functions.

Functional and ODD specification

Specify complete and verifiable operational design domains.

SOTIF hazard analysis

Identify triggering conditions by sensor and function.

Catalogue of triggering conditions

Quantify insufficient perception and decision performance.

Design of improvement measures

Generate risk-based critical scenarios.

Career opportunities

Where this takes you

SOTIF EngineerADAS Safety ManagerScenario Validation EngineerResidual Risk AnalystPerception EngineerHomologation Consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow 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 consists of 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

The work is done with IPG CarMaker, esmini, MATLAB Automated Driving Toolbox, Foretellix Foretify, CARLA. 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 issued by the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the higher programme. Check the credit transfer policy when you enrol.

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