Master’s in HMI for Autonomous Vehicles (Levels 2–4)
Online master's programme of 1,900 hours in HMI for autonomous vehicles (Levels 2–4): handover, trust, explainability and supervised driving. 12 modules covering driving automation, human factors, control transitions, driver monitoring, interface design, external communication, Level 4 and passenger HMI, evaluation methods, regulations and technical implementation, with SAE J3016, UNECE Regulation No. 157 and UNECE Regulation No. 171, and an assigned technical tutor.
Master’s in HMI for Autonomous Vehicles (Levels 2–4) — studying from Australia
Product design and human-machine interface work is important across Australian industries, from consumer goods and medical devices to mining equipment and transport systems. Designers and engineers collaborate on usability, ergonomics and visual interfaces, with growing attention to accessibility standards and user research. Australia has active design communities in Sydney, Melbourne and Brisbane, supported by universities and design agencies. Employers include manufacturers, software companies, consultancies and in-house product teams in large organisations.
Fees for Australia: A$11,000 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Does a SEIUM qualification count for professional design recognition in Australia?
Australian design practice is recognised through bodies such as the Design Institute of Australia, which runs professional membership, and Engineers Australia covers engineering-related design. SEIUM's private qualifications are not accredited by these bodies. Employers and the relevant body decide whether it counts toward recognition.
Which Australian employers need HMI and product design skills?
Australia has product design studios, software companies, automotive and medical device firms, and consultancies needing interface and product designers. Employers usually look closely at your portfolio and user research work. A SEIUM qualification may complement this, but its weight is determined by each employer.
Can I study this part-time from Australia and what language level is needed?
Yes, the courses are 100% online, so you can study from home across Australia without a student visa. Teaching is in English, so you need solid English proficiency. Durations range from 300 to 1,900 hours, with an assigned technical tutor, instalment payments, and possible employer sponsorship.
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
Understand the levels of automation and the division of tasks.
Apply human factors to the design of automated systems.
Design safe control transitions.
Integrate driver monitoring systems.
Design internal and external interfaces for automated vehicles.
Evaluate HMI with simulators and user studies.
Meet the regulatory requirements for automated driving.
Who it's for
- ADAS HMI designers.
- Human factors researchers.
- Automated driving systems engineers.
- Driver monitoring specialists.
- Passenger experience designers.
- HMI validation engineers.
- Engineering or science graduates looking to move into the automotive industry.
What you'll work with
- SAE J3016 (levels of driving automation)
- UNECE Regulation No. 157 (Automated Lane Keeping Systems)
- UNECE Regulation No. 171 (Driver Control Assistance Systems)
- Regulation (EU) 2019/2144 (vehicle general safety)
- Implementing Regulation (EU) 2022/1426 (type approval of automated driving systems)
- ISO 21448 (safety of the intended functionality, SOTIF)
- SAE J3134 (ADS marker lamps)
- ISO 15007 (measurement of driver visual behaviour)
- SILAB
- IPG CarMaker
- Unity
- Tobii Pro Lab
- MATLAB Stateflow
12 modules
1.1SAE J3016 levels1.2Level 2 and 2+ systems1.3Level 3 conditional driving1.4Level 4 and the operational design domain1.5Division of tasks between driver and system1.6Common ADAS functions1.7Systems on the market1.8Accidents and investigations1.9User expectations and trust1.10Case study: analysis of the HMI of three Level 2 systems
2.1Situational awareness2.2Complacency and overtrust2.3Trust calibration2.4Mental models of the system2.5Mode confusion2.6Out of the control loop2.7Workload and underload2.8Drowsiness in automated driving2.9Individual differences2.10Practical: interviews on users' mental models
3.1Take-over requests3.2Take-over reaction time3.3Quality of the recovery3.4Planned and urgent transitions3.5Minimal risk manoeuvres3.6Activation and deactivation3.7Availability indicators3.8Warning escalation3.9Regulation 157 and ALKS3.10Lab: take-over experiment in a simulator
4.1Camera-based DMS4.2Gaze and eyelid detection4.3Hands on the wheel and capacitive sensors4.4Distraction detection4.5Drowsiness detection4.6DDAW and ADDW distraction regulations4.7Privacy of cabin data4.8Occupant monitoring4.9Integration with the warning strategy4.10Practical: defining the thresholds of a DMS
5.1ADAS information architecture5.2Representation of the perceived environment5.3Iconography and status colours5.4Visual, acoustic and haptic warnings5.5Steering wheel and pedals as an interface5.6Status lighting in the cabin5.7HUD for automated driving5.8Route planning interface5.9Manufacturers' style guides5.10Workshop: states of a Level 3 system
6.1eHMI and pedestrians6.2Interaction with cyclists6.3Turquoise marker lamps6.4Ground projections6.5Intent signals6.6SAE J3134 standardisation6.7Studies with pedestrians6.8Autonomous delivery vehicles6.9Robotaxis and passengers6.10Practical: eHMI concept for a robotaxi
7.1The driverless passenger experience7.2Journey information7.3Emergency stops7.4Remote assistance7.5Accessibility for people with disabilities7.6Trust in driverless services7.7Incident management7.8Reconfigurable interiors7.9Safety communication7.10Case study: HMI of an autonomous shuttle
8.1Driving simulators8.2Wizard of Oz in the vehicle8.3Track testing8.4Naturalistic studies8.5Take-over metrics8.6Eye tracking8.7Trust and acceptance questionnaires8.8Experimental design with participants8.9Ethics in user studies8.10Lab: Wizard of Oz study
9.1UNECE Regulation 1579.2UNECE Regulation 171 (DCAS)9.3Regulation (EU) 2019/21449.4Regulation (EU) 2022/1426 on ADS9.5Euro NCAP assistance protocols9.6ISO 21448 and reasonably foreseeable misuse9.7NHTSA guidelines9.8Communicating system limitations9.9Event data recording9.10Practical: HMI requirements matrix for a Level 3 system
10.1HMI electronic architecture10.2Integration with ADAS controllers10.3State logic and state machines10.4Rapid prototyping10.5Warning latencies10.6Functional safety of warnings10.7OTA updates of functions10.8Cybersecurity10.9HMI software validation10.10Lab: state machine in Stateflow
11.1Social acceptance of automation11.2Responsible marketing communication11.3Driver training11.4Manuals and digital onboarding11.5Field usage data11.6Continuous improvement11.7Legal liability11.8Insurance and automation11.9Research trends11.10Workshop: onboarding for a Level 2+ function
12.1Automated function and users12.2Task and risk analysis12.3HMI concept12.4Transition strategy12.5Interactive prototype12.6Study with participants12.7Analysis of results12.8Design recommendations12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
Training is 100% online on the SEIUM campus, with downloadable materials, 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 SILAB, IPG CarMaker, Unity, Tobii Pro Lab and MATLAB Stateflow, in free, academic or evaluation versions. Testing is studied through real procedures: take-over experiments in a simulator, Wizard of Oz studies in the vehicle and warning comprehension tests. Assessment is continuous for each module, plus the final Master's Thesis.
Standards covered: SAE J3016, UNECE Regulation No. 157, UNECE Regulation No. 171, Regulation (EU) 2019/2144, Implementing Regulation (EU) 2022/1426, ISO 21448, SAE J3134, ISO 15007.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- 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.
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 SILAB, IPG CarMaker, Unity, Tobii Pro Lab and MATLAB Stateflow, 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 degree in engineering, science or architecture (or equivalent professional experience), 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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