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Master'sDesign, HMI & Product Applications open

Master’s in HUD, Cockpit AR/MR and 3D Visualisation

Online master's programme of 1,900 hours in HUD, cockpit AR/MR and 3D visualisation. 12 modules covering real-time 3D graphics, cockpit interface design, augmented reality content, perception and data fusion, mixed reality for passengers, multimodal interaction, human factors and validation, with ISO 15008, ISO 15005 and ISO/SAE 21434, and an assigned technical tutor.

Duration12–14 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

Design visualisation architectures for the digital cockpit.

02

Develop real-time 3D graphics for embedded hardware.

03

Create augmented reality content for driving.

04

Conceive mixed reality experiences for passengers.

05

Design safe multimodal interaction.

06

Assess driver distraction and workload.

07

Validate in-cabin visualisation systems.

Profile

Who it's for

  • Automotive HMI designers.
  • Real-time 3D graphics developers.
  • Augmented reality engineers.
  • Human factors researchers.
  • Infotainment software engineers.
  • Cockpit UX designers.
  • Engineering or science graduates looking to move into the automotive industry.
Standards & tools

What you'll work with

  • ISO 15008 (in-vehicle visual information presentation)
  • ISO 15005 (dialogue management principles for in-vehicle systems)
  • ISO/SAE 21434 (road vehicle cybersecurity engineering)
  • UNECE Regulation No. 121 (controls, tell-tales and indicators)
  • ISO 26262 (road vehicle functional safety)
  • ISO 9241-210 (human-centred design for interactive systems)
  • SAE J2364 (navigation and route guidance function accessibility while driving)
  • Unreal Engine
  • Unity
  • Rightware Kanzi
  • Figma
  • Android Automotive OS
Syllabus

12 modules

  1. 1.1Evolution of in-vehicle displays
  2. 1.2Displays, HUD and mixed reality
  3. 1.3Digital cockpit and its architecture
  4. 1.4Augmented and mixed reality: definitions
  5. 1.5The reality–virtuality continuum
  6. 1.6AR use cases in driving
  7. 1.7Passenger experience
  8. 1.8Market and suppliers
  9. 1.9Safety and distraction challenges
  10. 1.10Case study: benchmark of digital cockpits
  1. 2.1The graphics pipeline
  2. 2.2Meshes, materials and shaders
  3. 2.3Physically based lighting
  4. 2.4Unreal and Unity engines
  5. 2.5Kanzi and automotive tools
  6. 2.6Optimisation for embedded hardware
  7. 2.7Performance and frame rate
  8. 2.8Graphics memory management
  9. 2.93D map rendering
  10. 2.10Lab: 3D instrument cluster in Unreal Engine
  1. 3.1Information hierarchy
  2. 3.2Digital instrument cluster
  3. 3.3Central display
  4. 3.4Visual design and typography
  5. 3.5Driving modes
  6. 3.6Animations and transitions
  7. 3.7Personalisation
  8. 3.8Manufacturers' design guidelines
  9. 3.9Prototyping with Figma and ProtoPie
  10. 3.10Practical: cluster interface in different modes
  1. 4.1Augmented navigation
  2. 4.2Augmented ADAS warnings
  3. 4.3Signposting of points of interest
  4. 4.4Visualisation of detected vehicles
  5. 4.5Charging and energy information
  6. 4.6Design of AR symbols
  7. 4.7Depth and occlusion
  8. 4.8Information overload
  9. 4.9Comprehension testing
  10. 4.10Lab: AR navigation prototype
  1. 5.1Camera, radar and LiDAR sensors
  2. 5.2Object fusion
  3. 5.3Localisation and HD maps
  4. 5.4Trajectory prediction
  5. 5.5Interface with ADAS
  6. 5.6Data quality for AR
  7. 5.7Uncertainty management
  8. 5.8Content stability
  9. 5.9End-to-end latency
  10. 5.10Practical: overlay of detections on video
  1. 6.1Mixed reality headsets in the vehicle
  2. 6.2Immersive experiences in motion
  3. 6.3Compensation of vehicle motion
  4. 6.4Motion sickness in virtual reality
  5. 6.5Rear-seat entertainment
  6. 6.6Games synchronised with driving
  7. 6.7Productivity and video calls
  8. 6.8Passenger safety
  9. 6.9holoride and similar platforms
  10. 6.10Case study: MR experience for an urban journey
  1. 7.1Touchscreens and haptics
  2. 7.2Voice control
  3. 7.3Mid-air gestures
  4. 7.4Eye tracking
  5. 7.5Physical rotary controls
  6. 7.6Interaction with 3D content
  7. 7.7Interaction with AR
  8. 7.8Attention management
  9. 7.9Multimodal interaction models
  10. 7.10Workshop: designing interaction with gaze and voice
  1. 8.1Visual and cognitive distraction
  2. 8.2NHTSA and AAM guidelines
  3. 8.3Eyes-off-road times
  4. 8.4ISO 15008 and legibility
  5. 8.5ISO 15005 and dialogue
  6. 8.6Driving simulator testing
  7. 8.7Workload metrics
  8. 8.8Situational awareness
  9. 8.9Older users and accessibility
  10. 8.10Practical: distraction study in a simulator
  1. 9.1Automotive SoCs
  2. 9.2Hypervisors and virtualisation
  3. 9.3Android Automotive
  4. 9.4QNX and Linux
  5. 9.5Graphics with Vulkan and OpenGL ES
  6. 9.6Inter-domain communication
  7. 9.7Functional safety
  8. 9.8Cybersecurity to ISO/SAE 21434
  9. 9.9OTA updates
  10. 9.10Lab: graphics application on Android Automotive
  1. 10.1Testing of graphics software
  2. 10.2Performance testing
  3. 10.3User validation
  4. 10.4In-vehicle testing
  5. 10.5Image quality
  6. 10.6Defect management
  7. 10.7Test automation
  8. 10.8Regulation 121 and tell-tales
  9. 10.9Validation documentation
  10. 10.10Case study: validation plan for a 3D cluster
  1. 11.1Large-format displays
  2. 11.2Curved and rollable displays
  3. 11.3Cockpits for autonomous driving
  4. 11.4Interfaces with generative AI
  5. 11.5Profile-based personalisation
  6. 11.6Connected experiences
  7. 11.7Hardware sustainability
  8. 11.8Software business models
  9. 11.9Research trends
  10. 11.10Practical: cockpit concept for a Level 4 vehicle
  1. 12.1Concept and user
  2. 12.2Information architecture
  3. 12.33D visual design
  4. 12.4Augmented reality content
  5. 12.5Multimodal interaction
  6. 12.6Real-time implementation
  7. 12.7Distraction assessment
  8. 12.8Design conclusions
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

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 Unreal Engine, Unity, Rightware Kanzi, Figma and Android Automotive OS, in free, academic or evaluation versions. Testing is studied through real procedures: driving simulator tests, distraction assessments with eye tracking and graphics performance tests on embedded hardware. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: ISO 15008, ISO 15005, ISO/SAE 21434, UNECE Regulation No. 121, ISO 26262, ISO 9241-210, SAE J2364.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 15008, ISO 15005 and ISO/SAE 21434 applied to real cases, not as a theoretical annex.
Industry software:Unreal Engine, Unity, Rightware Kanzi, Figma and Android Automotive OS, in free, academic or evaluation versions.
Master's Thesis with defence:A complete cockpit visualisation concept, from user and information architecture to real-time implementation and distraction assessment, 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.

Concept and information architecture
Define the user, the concept and the information architecture of the cockpit.
3D visual design and AR content
Produce the 3D visual design and the augmented reality content.
Multimodal interaction
Design the multimodal interaction with touch, voice and gaze.
Real-time implementation
Implement the concept in real time and assess driver distraction.
Master's Thesis
Complete cockpit visualisation concept with design conclusions, defended before a panel.
Career opportunities

Where this takes you

Automotive HMI designerReal-time 3D graphics developerAugmented reality engineerHuman factors researcherInfotainment software engineerCockpit UX designer
Admissions & scholarships

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.

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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 Unreal Engine, Unity, Rightware Kanzi, Figma and Android Automotive OS, 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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