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.
Postgraduate Diploma in Advanced SOTIF: ODD, Scenarios and Insufficient Performance — studying from Australia
Australia has active research in autonomous systems, particularly in mining, agriculture and freight, where autonomous haulage and automated equipment are well established. Universities and research bodies collaborate closely with industry on perception, sensor fusion and vehicle software. Advanced driver assistance systems are increasingly standard in imported vehicles, creating demand for engineers who understand safety validation and software integration. Employers range from mining technology firms and research institutions to global automotive software suppliers operating local engineering teams.
Fees for Australia: A$2,050 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Is this qualification recognised by Australian engineering bodies?
SEIUM's qualifications are private and not official state degrees, and they are not accredited by Engineers Australia or any other national body. Professional recognition for engineers in Australia usually runs through accredited university degrees and Engineers Australia membership. Whether a private qualification is valued is decided by employers or the relevant body.
Which Australian employers work in autonomous and ADAS software?
Australia has automotive suppliers, mining and logistics companies using autonomous systems, and technology firms working on driver assistance and vehicle software. Employers usually assess your coding ability, project portfolio and experience more than the name of a private course. Ask prospective employers how they regard the qualification.
How demanding is the course and is it workable with a job in Australia?
The programmes are online and taught in English, so you can study from home without needing a student visa. Specialist courses are 300 hours, postgraduate diplomas 800 hours and master's 1,900 hours, so consider your available time carefully. An assigned technical tutor supports you, fees are payable in instalments, and employer sponsorship may be possible.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Apply the ISO 21448 lifecycle to automated driving functions.
Specify complete and verifiable operational design domains.
Identify triggering conditions by sensor and function.
Quantify insufficient perception and decision performance.
Generate risk-based critical scenarios.
Estimate residual risk with robust statistical arguments.
Design field monitoring and continuous improvement plans.
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.
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
8 modules · 800 h
1.1Specification insufficiencies versus random failures1.2Limitations of sensor and algorithm performance1.3Model of known, unknown, safe and unsafe areas1.4Relationship between SOTIF and ISO 262621.5Reasonably foreseeable driver misuse1.6Acceptance criteria and residual risk1.7Iterative cycle of specification and verification1.8Lessons from ADAS field incidents1.9Process documentation and work products1.10Case study: classifying a phantom braking incident
2.1ODD taxonomy according to ISO 345032.2Scenario, environment and dynamics attributes2.3Weather conditions and lighting2.4Road infrastructure and road types2.5Speed limits and traffic density2.6Real-time ODD monitoring2.7ODD exit and minimal risk manoeuvre2.8Machine-readable ODD formats2.9Specification version management2.10Workshop: ODD of a motorway traffic jam assistant
3.1Concept of triggering condition3.2Systematic analysis by sensor and function3.3Guide words applied to perception3.4Effects of rain, fog and glare3.5Reflections, occlusions and atypical objects3.6Borderline cases in classification and tracking3.7Interactions with other road users3.8Prioritisation by exposure and severity3.9Recording and traceability of conditions3.10Practice: catalogue of conditions for a front camera
4.1Detection metrics: precision, recall and mAP4.2False positives versus false negatives4.3Epistemic and aleatoric uncertainty4.4Confidence calibration in neural networks4.5Radar degradation due to multipath4.6Noise and density of lidar point clouds4.7Sensor fusion and diverse redundancy4.8Out-of-distribution detection4.9Quantitative performance requirements4.10Laboratory: error analysis of a pedestrian detector
5.1Functional, logical and concrete scenarios5.2Risk-based methodology of ISO 345025.3Parameter space and sampling5.4Search for critical scenarios using optimisation5.5Criticality metrics: TTC, THW and PET5.6Cut-in, cut-out and hard braking scenarios5.7Description with ASAM OpenSCENARIO5.8Accident databases as a source5.9Scenario coverage and stopping criteria5.10Workshop: logical merging scenarios with OpenSCENARIO
6.1Validation objectives and acceptable rate6.2Statistical argument based on kilometres driven6.3Confidence intervals and the Poisson distribution6.4Importance sampling for rare events6.5Combining simulation, track and road testing6.6Long-duration fleet testing6.7Analysis of disengagements and field events6.8GAMAB criterion and risk references6.9Evidence for product release6.10Case study: calculating validation mileage
7.1Field monitoring after launch7.2Logging of event data and triggers7.3Root cause analysis of incidents7.4Updating for unknown scenarios7.5Change management and new versions7.6Feedback to ODD and requirements7.7Coordination with cybersecurity and functional safety7.8Safety metrics in operation7.9Periodic audits and assessments7.10Practice: field monitoring plan for an ALKS
8.1Selection of the automated function8.2Functional and ODD specification8.3SOTIF hazard analysis8.4Catalogue of triggering conditions8.5Design of improvement measures8.6Scenario-based verification strategy8.7Residual risk estimation8.8Release argument8.9Report and presentation8.10Final review with the tutor
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.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Apply the ISO 21448 lifecycle to automated driving functions.
Specify complete and verifiable operational design domains.
Identify triggering conditions by sensor and function.
Quantify insufficient perception and decision performance.
Generate risk-based critical scenarios.
Where this takes you
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 English 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.
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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