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Postgraduate DiplomaDesign, HMI & Product Applications open

Diploma in Autonomous HMI Validation with Users and Regulators

Online postgraduate diploma of 800 hours in autonomous HMI validation with users and regulators: 8 modules covering the autonomous HMI validation framework, user study design, validation environments, metrics and analysis, the automation regulatory framework, interaction with regulators and in-service validation, with an assigned technical tutor.

Duration800 hours · 6–8 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

Plan the validation of automation interfaces with a multi-pillar approach.

02

Design representative and ethical user studies.

03

Select validation environments balancing cost and validity.

04

Analyse takeover, comprehension and trust metrics.

05

Apply type approval requirements for automated systems.

06

Prepare safety argumentation for regulators.

07

Monitor real-world use of the interface after it enters service.

Profile

Who it's for

  • HMI validation engineers
  • Human factors researchers
  • Automation type approval engineers
  • Automated systems safety specialists
  • Fleet data analysts
  • Autonomous mobility regulatory consultants
  • Engineering or science graduates looking to move into the automotive sector
Standards & tools

What you'll work with

  • UN ECE Regulation No. 157 (automated lane keeping systems)
  • Implementing Regulation (EU) 2022/1426 (automated driving systems)
  • ISO 21448:2022 (SOTIF)
  • UN ECE Regulation No. 171 (driver control assistance systems)
  • UN ECE Regulation No. 156 (software updates)
  • ISO 34502:2022 (scenario-based safety evaluation)
  • ISO 26262 (functional safety of road vehicles)
  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • SCANeR studio
  • CARLA
  • IPG CarMaker
  • R for statistical analysis
  • Smart Eye Pro
Syllabus

8 modules

  1. 1.1Why validate the automation interface
  2. 1.2Validation versus verification
  3. 1.3HMI requirements in type approval
  4. 1.4Multi-pillar validation approach
  5. 1.5Scenarios and operational design domain
  6. 1.6Acceptance criteria
  7. 1.7Validation planning
  8. 1.8Roles of manufacturer, technical service and authority
  9. 1.9Documenting evidence
  10. 1.10Workshop: multi-pillar validation plan for an interface
  1. 2.1Research questions and metrics
  2. 2.2Participant selection and sampling
  3. 2.3Population representativeness
  4. 2.4Experimental design and bias control
  5. 2.5Critical and misuse scenarios
  6. 2.6Informed consent and ethics
  7. 2.7Participant safety on the test track
  8. 2.8Sample size and power
  9. 2.9Protocol registration
  10. 2.10Practical: mode comprehension study protocol
  1. 3.1Driving simulators and fidelity
  2. 3.2Virtual and mixed reality
  3. 3.3Instrumented vehicles on the test track
  4. 3.4Studies on public roads
  5. 3.5Wizard of Oz for automation
  6. 3.6Naturalistic field studies
  7. 3.7Combining environments
  8. 3.8Cost and ecological validity
  9. 3.9Instrumentation and data acquisition
  10. 3.10Lab: setting up scenarios in a simulator
  1. 4.1Reaction times and takeover quality
  2. 4.2Understanding of states and modes
  3. 4.3Trust and acceptance
  4. 4.4Workload and distraction
  5. 4.5Driver visual behaviour
  6. 4.6Use errors and foreseeable misuse
  7. 4.7Statistical analysis and mixed models
  8. 4.8Qualitative analysis of interviews
  9. 4.9Pass criteria
  10. 4.10Case study: analysing data from a takeover study
  1. 5.1UN ECE Regulation No. 157 ALKS
  2. 5.2Implementing Regulation (EU) 2022/1426
  3. 5.3UN ECE Regulation No. 171 DCAS
  4. 5.4NATM assessment method
  5. 5.5Audit of the safety management system
  6. 5.6Track and road tests
  7. 5.7Reports to the technical service
  8. 5.8In-service monitoring
  9. 5.9Regional regulatory differences
  10. 5.10Workshop: evidence matrix for a technical service
  1. 6.1Technical dialogue with authorities
  2. 6.2Preparing safety dossiers
  3. 6.3HMI safety argumentation
  4. 6.4Presenting study results
  5. 6.5Managing observations and non-conformities
  6. 6.6Public consultations and working groups
  7. 6.7Pilot testing programmes
  8. 6.8Transparency and public communication
  9. 6.9Lessons from type approval processes
  10. 6.10Practical: simulated meeting with a technical service
  1. 7.1Fleet data and telemetry
  2. 7.2Real-use indicators
  3. 7.3Detecting misuse in the field
  4. 7.4Incident management
  5. 7.5Software updates and revalidation
  6. 7.6UN ECE Regulation No. 156 on updates
  7. 7.7User data privacy
  8. 7.8Feedback to design
  9. 7.9Periodic reports to authorities
  10. 7.10Case study: in-service monitoring plan
  1. 8.1Defining the system and the ODD
  2. 8.2Validation plan
  3. 8.3Designing the user study
  4. 8.4Running it in a simulator
  5. 8.5Results analysis
  6. 8.6Dossier for the regulator
  7. 8.7In-service monitoring plan
  8. 8.8Residual risk analysis
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
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, so the programme fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is SCANeR studio, CARLA, IPG CarMaker, R for statistical analysis and Smart Eye Pro, in free, academic or evaluation versions. Testing is studied through real procedures for mode comprehension studies with users in a simulator, preparation of evidence for technical services, and in-service usage monitoring plans. Assessment is continuous by module, plus the final integration project.

Standards covered: UN ECE Regulation No. 157 (automated lane keeping systems); Implementing Regulation (EU) 2022/1426 (automated driving systems); ISO 21448:2022 (SOTIF); UN ECE Regulation No. 171 (driver control assistance systems); UN ECE Regulation No. 156 (software updates); ISO 34502:2022 (scenario-based safety evaluation); ISO 26262 (functional safety of road vehicles); Regulation (EU) 2016/679 (General Data Protection Regulation).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of UN ECE Regulation No. 157, Implementing Regulation (EU) 2022/1426 and ISO 21448 applied to real cases, not as a theoretical annex.
Industry software:SCANeR studio, CARLA, IPG CarMaker, R for statistical analysis and Smart Eye Pro, in free, academic or evaluation versions.
Final project:a complete validation of an autonomous HMI, from user study and simulator testing to a regulator dossier and in-service monitoring plan, 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.

Define system and ODD
Define the automated system and its operational design domain.
Plan the validation
Draw up the validation plan and design the user study.
Run in a simulator
Carry out the study in a driving simulator.
Analyse results
Analyse takeover, comprehension and trust results.
Final project
Prepare the regulator dossier, in-service monitoring plan and residual risk analysis, and present the report to your tutor.
Career opportunities

Where this takes you

HMI validation engineerHuman factors researcherAutomation type approval engineerAutomated systems safety specialistFleet data analystAutonomous mobility regulatory consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is 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.

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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 SCANeR studio, CARLA, IPG CarMaker, R for statistical analysis and Smart Eye Pro, 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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