Apply now
Master'sAutonomous, ADAS & Software-Defined Vehicle Applications open

Master’s in Human Factors & HMI Engineering

Online master's programme of 1,900 hours in human factors and HMI engineering, structured in 12 modules covering HMI design, driver distraction, warnings and alerts, interaction with automation, evaluation methods, driver monitoring, external HMI, diverse users and HMI standards (ISO 15005, ISO 15007, ISO 16673), with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

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.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Apply human factors principles to vehicle design.

02

Design user-centred HMI interfaces.

03

Assess driver distraction using standardised methods.

04

Design effective warnings and alerts.

05

Analyse the interaction between driver and automation.

06

Plan user studies in simulators and on the track.

07

Develop a human factors and HMI project.

Profile

Who it's for

  • Human factors specialists working on vehicle interfaces.
  • Automotive HMI designers creating cockpit and cluster concepts.
  • User experience researchers running studies with drivers.
  • Driver monitoring system engineers.
  • HMI validation engineers assessing distraction and usability.
  • Ergonomists moving into the automotive sector.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 15005 (dialogue management principles for in-vehicle systems)
  • ISO 15007 (measurement of driver visual behaviour)
  • ISO 16673 (occlusion method for assessing visual demand)
  • ISO 15008 (legibility of in-vehicle visual displays)
  • Delegated Regulation (EU) 2021/1341 (DDAW) (driver drowsiness and attention warning)
  • Delegated Regulation (EU) 2023/2590 (ADDW) (advanced driver distraction warning)
  • ISO 9241-210 (human-centred design for interactive systems)
  • SAE J3134 (ADS marker lamps for external communication)
  • Figma
  • Tobii Pro Lab
  • SILAB
  • Unity
  • SPSS
Syllabus

12 modules · 1900 h

  1. 1.1Cognitive ergonomics applied to the vehicle
  2. 1.2Models of human information processing
  3. 1.3The driver's visual and auditory perception
  4. 1.4Attention, mental workload and fatigue
  5. 1.5Human errors and their classification
  6. 1.6Accidents attributable to the human factor
  7. 1.7Individual differences and age
  8. 1.8Novice and older drivers
  9. 1.9Human factors in automation
  10. 1.10Case study: human error analysis of an accident
  1. 2.1Principles of user-centred design
  2. 2.2Cockpit information architecture
  3. 2.3Displays, head-up displays and clusters
  4. 2.4Physical versus touch controls
  5. 2.5Voice and natural language interfaces
  6. 2.6Haptic and auditory interfaces
  7. 2.7Hierarchy of warnings and alerts
  8. 2.8Consistency and icon standards
  9. 2.9Accessibility and inclusion
  10. 2.10Lab: cluster prototype in Figma
  1. 3.1Types of visual, manual and cognitive distraction
  2. 3.2NHTSA visual distraction guidelines
  3. 3.3European HMI principles
  4. 3.4The ISO 15007 gaze measurement standard
  5. 3.5Eyes-off-road time metrics
  6. 3.6The ISO 16673 occlusion method
  7. 3.7Secondary tasks and mobile phones
  8. 3.8Function lockout while driving
  9. 3.9Evaluation of touch interfaces
  10. 3.10Practical: distraction measurement with eye tracking
  1. 4.1Design of multimodal warnings
  2. 4.2Perceived urgency of alerts
  3. 4.3Imminent collision warnings
  4. 4.4False alarms and trust
  5. 4.5Sounds and haptic signals
  6. 4.6Warnings on head-up displays
  7. 4.7The ISO 15623 standard
  8. 4.8Regulated ADAS warnings
  9. 4.9Assessing warning effectiveness
  10. 4.10Workshop: collision warning design
  1. 5.1Automation levels and roles
  2. 5.2Calibrated trust in automation
  3. 5.3Complacency and overtrust
  4. 5.4Mode awareness
  5. 5.5User understanding of the system
  6. 5.6The driver's mental models
  7. 5.7System transparency
  8. 5.8Misuse and abuse of automation
  9. 5.9User learning of the system
  10. 5.10Lab: trust study in a simulator
  1. 6.1Driving simulator studies
  2. 6.2Track and on-road studies
  3. 6.3Naturalistic driving studies
  4. 6.4Eye tracking and ocular metrics
  5. 6.5Physiological measures of workload and stress
  6. 6.6NASA-TLX workload questionnaires
  7. 6.7SUS usability scales
  8. 6.8Experimental design and statistics
  9. 6.9Ethics in studies with people
  10. 6.10Practical: design of a simulator experiment
  1. 7.1DMS systems and their sensors
  2. 7.2Drowsiness detection
  3. 7.3Gaze-based distraction detection
  4. 7.4The European DDAW and ADDW regulations
  5. 7.5Euro NCAP DMS protocols
  6. 7.6Hands-on-wheel monitoring
  7. 7.7Privacy of cabin data
  8. 7.8Integration with ADAS functions
  9. 7.9User acceptance
  10. 7.10Workshop: drowsiness algorithm with PERCLOS
  1. 8.1Communication of the automated vehicle with pedestrians
  2. 8.2External eHMI interfaces
  3. 8.3Intent lights and signals
  4. 8.4Road surface projections
  5. 8.5SAE J3134 standardisation
  6. 8.6Evaluation with vulnerable users
  7. 8.7Cultural differences between markets
  8. 8.8Regulatory signalling requirements
  9. 8.9Limitations of implicit communication
  10. 8.10Lab: eHMI evaluation in virtual reality
  1. 9.1Older people at the wheel
  2. 9.2Users with disabilities
  3. 9.3Universal design in vehicles
  4. 9.4Professional drivers and fleets
  5. 9.5Gender differences in ergonomics
  6. 9.6Users of shared vehicles
  7. 9.7Children and passengers
  8. 9.8Accessibility of digital interfaces
  9. 9.9Accessibility regulations
  10. 9.10Practical: HMI accessibility assessment
  1. 10.1Integrating human factors into development
  2. 10.2The ISO 9241-210 standard
  3. 10.3HMI requirements in ISO 26262 and SOTIF
  4. 10.4ISO 15005 and 15008 standards
  5. 10.5SAE interface standards
  6. 10.6Human factors documentation
  7. 10.7HMI validation
  8. 10.8Prototyping tools
  9. 10.9HMI requirements management
  10. 10.10Case study: project human factors plan
  1. 11.1Digital cockpits and large displays
  2. 11.2Conversational AI assistants
  3. 11.3Augmented reality on the windscreen
  4. 11.4Cabin personalisation
  5. 11.5Interiors for automated driving
  6. 11.6Wellbeing and comfort
  7. 11.7Infotainment and applications
  8. 11.8Security of connected interfaces
  9. 11.9Future evaluation challenges
  10. 11.10Workshop: Level 4 interior concept
  1. 12.1Definition of users and context
  2. 12.2Task analysis
  3. 12.3Conceptual interface design
  4. 12.4Iterative prototyping with users
  5. 12.5Design of the evaluation study
  6. 12.6Running user tests
  7. 12.7Analysis of results
  8. 12.8Conclusions and design recommendations
  9. 12.9Thesis report
  10. 12.10Master's Thesis: defence before a panel
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, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Figma, Tobii Pro Lab, SILAB, Unity and SPSS, in free, academic or evaluation versions. Testing is studied through real procedures: driving simulator studies, distraction measurement with eye tracking and interface evaluation with users. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: ISO 15005, ISO 15007, ISO 16673, ISO 15008, Delegated Regulation (EU) 2021/1341 (DDAW), Delegated Regulation (EU) 2023/2590 (ADDW), ISO 9241-210, SAE J3134.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 15005, ISO 15007 and ISO 16673 applied to real cases, not as a theoretical annex.
Industry software:Figma, Tobii Pro Lab, SILAB, Unity and SPSS, in free, academic or evaluation versions.
Master's Thesis with defence:a complete human factors and HMI project, from user and task analysis and iterative prototyping to a user evaluation study and design recommendations, defended before a panel.
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.

User and task analysis
Define users, context and tasks for the interface under study.
Interface prototyping
Prototype a cluster and warnings in Figma and iterate with users.
Distraction assessment
Measure visual distraction with eye tracking following ISO 15007.
Simulator user study
Design and run a simulator experiment and analyse workload and usability.
Master's Thesis
A complete human factors and HMI project, from user and task analysis and iterative prototyping to a user evaluation study and design recommendations, defended before a panel.
Career opportunities

Where this takes you

Human factors specialistAutomotive HMI designerUser experience researcherDriver monitoring systems engineerHMI validation engineerErgonomist
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • 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.

Apply now Scholarships
FAQ

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 Figma, Tobii Pro Lab, SILAB, Unity and SPSS, 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.

Keep exploring

Related programmes

See all in Autonomous, ADAS & Software-Defined Vehicle
Master's9,970 $

Master’s in Advanced Radar and LiDAR Processing Engineering

Online master's programme of 1,900 hours in advanced radar and LiDAR processing engineering. 12 modules covering radar signals and waves, radar processing, 4D imaging radar, LiDAR…

1900 hOnlineAutonomous, ADAS & Software-Defined Vehicle
Master's6,610 $

Master’s in Diagnostics, Telemetry and Edge Analytics Engineering

Online master's programme of 1,900 hours in diagnostics, telemetry and edge analytics engineering, structured in 12 modules covering on-board diagnostics, vehicle telemetry, edge analytics, cloud data…

1900 hOnlineAutonomous, ADAS & Software-Defined Vehicle
Master's11,090 $

Master’s in Robust Perception in Adverse Conditions Engineering

Online master's programme of 1,900 hours in robust perception engineering for adverse conditions. 12 modules covering adverse conditions and ODD, the physics of sensor degradation, cameras,…

1900 hOnlineAutonomous, ADAS & Software-Defined Vehicle
Master’s in Human Factors & HMI EngineeringEnrol
Related programmes

More in Autonomous, ADAS & Software-Defined Vehicle

Master’s in Calibration & Auto EngineeringView programme →Master’s in Dev Platforms Engineering for SDVs — Vehicle-Centric APIs, App Stores, Sandboxing and PermissionsView programme →Master’s in Visual-Inertial Odometry & Precise Positioning EngineeringView programme →Master’s in Traffic and Proving Ground Digital Twins EngineeringView programme →Master’s in Advanced SOTIF EngineeringView programme →Master’s in ISO 21434 and UNECE R155/R156 Engineering — CSMS, SUMS, Threat Modelling and Secure UpdatesView programme →

All Autonomous, ADAS & Software-Defined Vehicle programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.