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Master'sRobotics, Automation & Control Applications open

Master’s in AR/VR for Programming and Maintenance Engineering

Online master's programme of 1,900 hours in AR/VR engineering for programming and maintenance. 12 modules covering extended reality technologies, XR application development, AR and VR robot programming, AR-assisted maintenance, XR training, industrial data in XR, tracking, human factors and industrial deployment, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Select XR technologies suited to industry.

02

Develop augmented and virtual reality applications.

03

Programme robots through AR and VR interfaces.

04

Design assisted maintenance solutions.

05

Create immersive training content.

06

Integrate industrial data into XR environments.

07

Assess the usability and industrial deployment of XR.

Profile

Who it's for

  • XR application developers.
  • Robot programming engineers.
  • Digital maintenance specialists.
  • Immersive training designers.
  • AR solutions integrators.
  • Digital transformation engineers.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • Khronos OpenXR 1.1 (cross-platform API for XR applications and devices)
  • ISO 9241-210:2019 (human-centred design for interactive systems)
  • ISO 10218-1:2025 (safety requirements for industrial robots)
  • IEC 62541-1:2020 (OPC Unified Architecture)
  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • ISO/IEC 18039:2019 (mixed and augmented reality reference model)
  • Unity
  • Unreal Engine
  • Microsoft Dynamics 365 Guides
  • PTC Vuforia
  • ROS 2
Syllabus

12 modules · 1900 h

  1. 1.1Milgram's reality-virtuality continuum
  2. 1.2Virtual, augmented and mixed reality
  3. 1.3HoloLens, Quest and Magic Leap headsets
  4. 1.4AR on tablets and smartphones
  5. 1.5Inside-out and outside-in tracking
  6. 1.6Registration and anchoring in the real world
  7. 1.7Graphics performance and latency
  8. 1.8Headset ergonomics
  9. 1.9The industrial XR market
  10. 1.10Case study: selecting an XR device for a plant
  1. 2.1Unity and the XR Interaction Toolkit
  2. 2.2Unreal Engine for industry
  3. 2.3OpenXR and portability
  4. 2.4Interaction with hands and controllers
  5. 2.5Spatial user interfaces
  6. 2.6Optimisation of CAD models
  7. 2.7glTF and OpenUSD formats
  8. 2.8Deployment to devices
  9. 2.9Testing XR applications
  10. 2.10Lab: AR application with Unity
  1. 3.1Intuitive programming by demonstration
  2. 3.2Visualisation of overlaid paths
  3. 3.3Editing points in augmented reality
  4. 3.4Calibration between robot and headset
  5. 3.5Virtual simulation on a real cell
  6. 3.6Communication with robot controllers
  7. 3.7Integration with ROS 2
  8. 3.8Validating programmes before execution
  9. 3.9Comparison with traditional programming
  10. 3.10Practical exercise: path editing with HoloLens
  1. 4.1Virtual cells for programming
  2. 4.2Robot teleoperation in VR
  3. 4.3Immersive offline programming
  4. 4.4Digital twins in VR
  5. 4.5Haptic interaction with controllers
  6. 4.6Transferring programmes to the robot
  7. 4.7Accuracy of virtual programming
  8. 4.8Remote multi-user collaboration
  9. 4.9Industrial use cases
  10. 4.10Workshop: cell programming in a VR environment
  1. 5.1Work instructions in AR
  2. 5.2Overlay of technical information
  3. 5.3Equipment and object recognition
  4. 5.4Remote expert assistance
  5. 5.5Integration with CMMS
  6. 5.6Logging of interventions
  7. 5.7Guided fault diagnosis
  8. 5.8Measuring times and errors
  9. 5.9Safety in assisted tasks
  10. 5.10Practical exercise: AR instructions for a tool change
  1. 6.1Instructional design for XR
  2. 6.2Operator training in VR
  3. 6.3Simulation of faults and emergencies
  4. 6.4Assessment of learning
  5. 6.5Transfer to the real workstation
  6. 6.6Training analytics
  7. 6.7Safety training
  8. 6.8Costs compared with traditional training
  9. 6.9Creating reusable content
  10. 6.10Case study: VR course on robot maintenance
  1. 7.1Connection with OPC UA and MQTT
  2. 7.2Visualisation of machine status
  3. 7.3Spatial KPI dashboards
  4. 7.4Contextualised alarms on the equipment
  5. 7.5Real-time digital twin
  6. 7.6Integration with MES
  7. 7.7Communication security
  8. 7.8Data latency
  9. 7.9Edge architectures for XR
  10. 7.10Lab: AR dashboard connected to OPC UA
  1. 8.1Visual SLAM on XR devices
  2. 8.2CAD model tracking
  3. 8.3Use of fiducial markers
  4. 8.4Hand and eye tracking
  5. 8.5Spatial mapping of environments
  6. 8.6Registration accuracy
  7. 8.7Robustness in industrial environments
  8. 8.8Tracking moving objects
  9. 8.9Calibration across multiple devices
  10. 8.10Practical exercise: CAD model-based tracking
  1. 9.1Usability of XR interfaces
  2. 9.2Cognitive load and distraction
  3. 9.3Simulator sickness
  4. 9.4Ergonomics of prolonged use
  5. 9.5User safety with headsets
  6. 9.6Accessibility of XR applications
  7. 9.7Operator acceptance
  8. 9.8Experience design
  9. 9.9Evaluation methods
  10. 9.10Case study: usability evaluation of an AR app
  1. 10.1Identifying use cases
  2. 10.2Proof of concept
  3. 10.3Scaling up to the plant
  4. 10.4Device management
  5. 10.5XR cybersecurity
  6. 10.6Integration with IT
  7. 10.7Return on investment
  8. 10.8Change management
  9. 10.9Content maintenance
  10. 10.10Workshop: business case for AR maintenance
  1. 11.1Artificial intelligence in XR
  2. 11.2Digital twins and the industrial metaverse
  3. 11.3Spatial computing in industry
  4. 11.4Privacy of sensor data
  5. 11.5The EU AI Act
  6. 11.6Safety of XR products
  7. 11.7Emerging XR standards
  8. 11.8Current lines of research
  9. 11.9The future of work
  10. 11.10Case study: XR roadmap for a plant
  1. 12.1Definition of the use case
  2. 12.2Device and platform selection
  3. 12.3Experience design
  4. 12.4Application development
  5. 12.5Integration with a robot or data
  6. 12.6User testing
  7. 12.7Evaluation of results
  8. 12.8Conclusions and scale-up
  9. 12.9Master's Thesis 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. No fixed timetables: you progress at your own pace within the intake, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Unity, Unreal Engine, Microsoft Dynamics 365 Guides, PTC Vuforia and ROS 2, in free, academic or evaluation versions. Exercises are based on real procedures for developing AR applications for robots, augmented reality maintenance instructions and usability evaluation with operators. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Khronos OpenXR 1.1, ISO 9241-210:2019, ISO 10218-1:2025, IEC 62541-1:2020, Regulation (EU) 2016/679, ISO/IEC 18039:2019.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Khronos OpenXR 1.1, ISO 9241-210:2019 and ISO 10218-1:2025 applied to real cases, not as a theoretical annex.
Industry software:Unity, Unreal Engine, Microsoft Dynamics 365 Guides, PTC Vuforia and ROS 2, in free, academic or evaluation versions.
Master's Thesis with defence:An industrial AR/VR application for robot programming or maintenance, developed, integrated and tested with users, 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.

Use case and platform
Define the industrial use case and select the device and platform.
Experience design
Design the user experience of the XR application.
Development and integration
Develop the application and integrate it with a robot or plant data.
User testing
Test the application with users and evaluate the results.
Master's Thesis
Present the conclusions and scale-up plan in a thesis, defended before a panel.
Career opportunities

Where this takes you

XR application developerRobot programming engineerDigital maintenance specialistImmersive training designerAR solutions integratorDigital transformation engineer
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 Unity, Unreal Engine, Microsoft Dynamics 365 Guides, PTC Vuforia and ROS 2, 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 university 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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