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Master’s in Telematics, V2X and Motorcycle Safety Engineering

Online master's programme of 1,900 hours in telematics, V2X and motorcycle safety engineering. 12 modules covering motorcyclist safety, vehicle telematics, V2X technologies and use cases, crash detection and emergency calls, advanced rider assistance, functional safety, data privacy, cybersecurity, connected infrastructure and data analytics, 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

Design telematics units for motorcycles.

02

Explain V2X technologies and their standardised messages.

03

Develop connected safety use cases for motorcycles.

04

Design crash detection and emergency call systems.

05

Evaluate sensor-based advanced rider assistance systems.

06

Manage the privacy and security of vehicle data.

07

Develop a connected safety system for motorcycles.

Profile

Who it's for

  • Telematics engineers.
  • V2X systems engineers.
  • Active safety engineers.
  • Vehicle connectivity engineers.
  • Mobility data analysts.
  • Emergency systems engineers.
  • Engineering or science graduates looking to join motorcycle manufacturers.
Standards & tools

What you'll work with

  • ETSI EN 302 637-2 (ITS cooperative awareness basic service (CAM))
  • ETSI EN 302 637-3 (ITS decentralised environmental notification basic service (DENM))
  • ETSI EN 302 663 (ITS-G5 access layer specification)
  • SAE J2735 (V2X communications message set dictionary)
  • 3GPP TS 23.287 (architecture enhancements for 5G V2X services)
  • Regulation (EU) 2015/758 (type-approval requirements for 112-based eCall)
  • ISO 26262-12 (functional safety, adaptation for motorcycles)
  • Regulation (EU) 2016/679 (General Data Protection Regulation (GDPR))
  • Vector CANoe.Car2x
  • MATLAB
  • SUMO
  • Veins
  • Python
Syllabus

12 modules · 1900 h

  1. 1.1Motorcycle accident statistics
  2. 1.2Frequent accident scenarios
  3. 1.3Motorcyclist visibility
  4. 1.4User vulnerability
  5. 1.5Primary, secondary and tertiary safety
  6. 1.6Potential of connectivity
  7. 1.7Industry initiatives
  8. 1.8Road safety policies
  9. 1.9Safety indicators
  10. 1.10Case study: analysis of junction accidents
  1. 2.1Vehicle telematics units
  2. 2.2Cellular modems for the vehicle
  3. 2.3GNSS satellite positioning
  4. 2.4Cloud platforms
  5. 2.5Remote services for the user
  6. 2.6Anti-theft and tracking
  7. 2.7Remote fault diagnosis
  8. 2.8Quiescent consumption
  9. 2.9Integration into the motorcycle
  10. 2.10Lab: telematics unit prototype
  1. 3.1ITS-G5 vehicular communication
  2. 3.2C-V2X and PC5
  3. 3.3ETSI ITS architecture
  4. 3.4Cooperative awareness messages (CAM)
  5. 3.5Decentralised environmental notification messages (DENM)
  6. 3.6Latency and range
  7. 3.7Message security
  8. 3.8Deployment in Europe
  9. 3.9Technology comparison
  10. 3.10Practical exercise: decoding CAM messages
  1. 4.1Approaching motorcycle warning
  2. 4.2Intersection warnings
  3. 4.3Stationary vehicle warning
  4. 4.4Roadworks and hazard warnings
  5. 4.5Braking warnings
  6. 4.6Traffic light signals
  7. 4.7Interaction with autonomous vehicles
  8. 4.8Presentation to the rider
  9. 4.9Benefit assessment
  10. 4.10Workshop: simulating a junction warning with SUMO
  1. 5.1Crash detection algorithms
  2. 5.2Inertial sensors for detection
  3. 5.3Managing false positives
  4. 5.4Automatic emergency call
  5. 5.5Minimum set of incident data
  6. 5.6eCall regulations for cars
  7. 5.7Solutions for motorcycles
  8. 5.8Integration with apps
  9. 5.9Coordination with emergency services
  10. 5.10Lab: crash detector with an IMU
  1. 6.1Radar in motorcycles
  2. 6.2Adaptive cruise control
  3. 6.3Forward collision warning
  4. 6.4Blind-spot detection
  5. 6.5Cameras and vision
  6. 6.6Adaptive cornering lights
  7. 6.7Sensor fusion
  8. 6.8Function validation
  9. 6.9Rider acceptance
  10. 6.10Practical exercise: evaluating a collision warning
  1. 7.1ISO 26262-12 for connected functions
  2. 7.2Safety of the intended functionality
  3. 7.3Test scenarios
  4. 7.4Traffic simulation
  5. 7.5Track tests with targets
  6. 7.6Naturalistic data studies
  7. 7.7Effectiveness metrics
  8. 7.8Managing false warnings
  9. 7.9Function release
  10. 7.10Case study: validation plan for an ACC
  1. 8.1Data generated by the motorcycle
  2. 8.2General Data Protection Regulation
  3. 8.3User consent
  4. 8.4Anonymisation of personal data
  5. 8.5Data governance
  6. 8.6Third-party access
  7. 8.7Usage-based insurance
  8. 8.8Value of data
  9. 8.9Data ethics
  10. 8.10Practical exercise: privacy impact assessment
  1. 9.1Telematics attack surfaces
  2. 9.2V2X message authentication
  3. 9.3Public key infrastructure
  4. 9.4Cloud security
  5. 9.5Secure firmware updates
  6. 9.6Anomaly detection
  7. 9.7Incident response
  8. 9.8Applicable regulatory requirements
  9. 9.9Penetration testing
  10. 9.10Workshop: threat analysis of a telematics unit
  1. 10.1Cooperative road infrastructure
  2. 10.2Roadside units
  3. 10.3C-ITS services in Europe
  4. 10.4Traffic management
  5. 10.5Data for public authorities
  6. 10.6Connected road corridors
  7. 10.7Deployment and funding
  8. 10.8Interoperability between systems
  9. 10.9Smart cities and mobility
  10. 10.10Case study: C-ITS corridor with motorcycles
  1. 11.1Fleet analytics
  2. 11.2Hazardous spot maps
  3. 11.3Rider behaviour
  4. 11.4Value-added services
  5. 11.5Business models
  6. 11.6Machine learning in telematics
  7. 11.7Data visualisation
  8. 11.8Impact assessment
  9. 11.9Platform scaling
  10. 11.10Lab: harsh braking map
  1. 12.1Safety scenario
  2. 12.2System requirements
  3. 12.3Telematics unit architecture
  4. 12.4V2X use cases
  5. 12.5Emergency detection
  6. 12.6Simulation and validation
  7. 12.7Privacy and cybersecurity
  8. 12.8Benefit assessment
  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, so you can combine the programme with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Vector CANoe.Car2x, MATLAB, SUMO, Veins and Python, in free, academic or evaluation versions. Testing is studied through real procedures: simulation of motorcycle V2X warnings at junctions, analysis of crash detection with inertial data, and the design of a telematics unit with an emergency call. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ETSI EN 302 637-2, ETSI EN 302 637-3, ETSI EN 302 663, SAE J2735, 3GPP TS 23.287, Regulation (EU) 2015/758, ISO 26262-12, Regulation (EU) 2016/679.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ETSI EN 302 637-2, ETSI EN 302 637-3 and ETSI EN 302 663 applied to real cases, not as a theoretical annex.
Industry software:Vector CANoe.Car2x, MATLAB, SUMO, Veins and Python, in free, academic or evaluation versions.
Master's Thesis with defence:A connected safety system for motorcycles, 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.

Safety scenario and requirements
Define the safety scenario and the system requirements.
Telematics unit architecture
Design the telematics unit with GNSS, cellular connectivity and an emergency call.
V2X use cases and crash detection
Simulate V2X warnings with SUMO and Veins and develop an IMU crash detector.
Validation, privacy and security
Validate the system and assess privacy and cybersecurity risks.
Master's Thesis
A connected safety system for motorcycles, defended before a panel.
Career opportunities

Where this takes you

Telematics engineerV2X systems engineerActive safety engineerVehicle connectivity engineerMobility data analystEmergency systems engineer
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.

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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 Vector CANoe.Car2x, MATLAB, SUMO, Veins and Python, 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 programme 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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