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Postgraduate DiplomaDesign, HMI & Product Applications open

Diploma in Validation with SimRacing and Telemetry of Use

Online postgraduate diploma of 800 hours in validation with SimRacing and usage telemetry, structured in 8 modules covering driving simulators, vehicle modelling, data acquisition, driving data analysis, HMI validation and applied data science with ISO 15007, ISO 26022 and MoTeC i2 Pro, with an assigned technical tutor.

Duration6–8 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

Specify driving simulators tailored to development objectives.

02

Model the vehicle and environment with the required fidelity.

03

Configure data acquisition and telemetry systems.

04

Analyse driving data and correlate simulator and track.

05

Validate driving interfaces with users in the simulator.

06

Exploit usage telemetry while respecting privacy.

07

Apply data science to improve the product and driving performance.

Profile

Who it's for

  • Driving simulation engineers working on driver-in-the-loop development.
  • Data and telemetry engineers in motorsport or automotive testing.
  • HMI researchers who need simulator-based validation methods.
  • Vehicle dynamics engineers correlating simulator and track data.
  • Product usage data analysts working with connected-vehicle data.
  • Track engineers who want to make more of simulator sessions.
  • Engineering or science graduates seeking to enter motorsport.
Standards & tools

What you'll work with

  • ISO 15007 (measurement of driver visual behaviour)
  • ISO 26022 (lane change test for driver distraction)
  • SAE J2944 (operational definitions of driving performance measures)
  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • ISO 15005 (dialogue management principles for in-vehicle systems)
  • ISO 9241-11 (usability definitions and concepts)
  • MoTeC i2 Pro
  • rFactor Pro
  • VI-grade VI-DriveSim
  • MATLAB/Simulink
  • Python
Syllabus

8 modules

  1. 1.1The role of the driver in the loop
  2. 1.2Static and dynamic simulators
  3. 1.3Six-degree-of-freedom motion platforms
  4. 1.4Simulation latency and fidelity
  5. 1.5Racing team simulators
  6. 1.6From SimRacing to the professional simulator
  7. 1.7Simulator sickness and mitigation
  8. 1.8Cost and return of a simulator
  9. 1.9Uses of the simulator in HMI design
  10. 1.10Workshop: specification of a development simulator
  1. 2.1High-fidelity vehicle models
  2. 2.2Pacejka and thermal tyre models
  3. 2.3Laser scanning of circuits
  4. 2.4Aerodynamic maps in simulation
  5. 2.5Co-simulation with Simulink
  6. 2.6Real time and determinism
  7. 2.7Integration of ECU controllers
  8. 2.8Scenarios and weather
  9. 2.9Model validation with real data
  10. 2.10Practical: fitting a tyre model
  1. 3.1On-board sensors and sampling rates
  2. 3.2Data loggers and CAN bus
  3. 3.3Speed, acceleration and pedal channels
  4. 3.4Real-time telemetry
  5. 3.5Data formats and synchronisation
  6. 3.6Data quality and filtering
  7. 3.7Logging of controls and interaction
  8. 3.8Telemetry in the simulator
  9. 3.9Storage and session management
  10. 3.10Lab: channel configuration of a data logger
  1. 4.1Lap overlays
  2. 4.2Analysis of braking and racing lines
  3. 4.3Derived maths channels
  4. 4.4Comparison between drivers
  5. 4.5Detection of driver errors
  6. 4.6Correlation between simulator and track
  7. 4.7Analysis of control usage
  8. 4.8Consistency indicators
  9. 4.9Session reports
  10. 4.10Case study: analysis of a lap in MoTeC
  1. 5.1User test protocols
  2. 5.2Workload and distraction metrics
  3. 5.3Eye tracking in the simulator
  4. 5.4Testing steering wheel interfaces
  5. 5.5Evaluation of driver assistance systems
  6. 5.6Validation of displays and alerts
  7. 5.7Tests with non-professional drivers
  8. 5.8Statistics of user experiments
  9. 5.9Informed consent and ethics
  10. 5.10Practical: testing a steering wheel interface
  1. 6.1Logging feature usage in the vehicle
  2. 6.2Connected fleet data
  3. 6.3Privacy of usage data and GDPR
  4. 6.4HMI events and instrumentation
  5. 6.5Feature usage patterns
  6. 6.6Interaction heat maps
  7. 6.7Detection of usability problems
  8. 6.8Feedback to the design team
  9. 6.9Product monitoring dashboards
  10. 6.10Case study: usage of an infotainment system
  1. 7.1Python for telemetry analysis
  2. 7.2Time series and segmentation
  3. 7.3Machine learning on driving data
  4. 7.4Clustering of driving styles
  5. 7.5Predictive lap-time models
  6. 7.6Advanced data visualisation
  7. 7.7Reproducibility with Jupyter notebooks
  8. 7.8Time-series databases
  9. 7.9Report automation
  10. 7.10Lab: clustering driving styles with Python
  1. 8.1Validation objective
  2. 8.2Experiment design
  3. 8.3Simulator set-up
  4. 8.4Instrumentation and telemetry
  5. 8.5User testing
  6. 8.6Data analysis
  7. 8.7Design conclusions
  8. 8.8Improvement recommendations
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

The programme is 100% online 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 it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. You work with MoTeC i2 Pro, rFactor Pro, VI-grade VI-DriveSim, MATLAB/Simulink and Python, in free, academic or evaluation versions. Exercises are based on real procedures: simulator sessions with drivers and users, analysis of track and product telemetry, and data correlation between simulator and circuit. Assessment is continuous by module, plus the final integrating project.

Standards covered: ISO 15007, ISO 26022, SAE J2944, Regulation (EU) 2016/679, ISO 15005, ISO 9241-11.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 15007, ISO 26022, SAE J2944 and the GDPR applied to real cases, not as a theoretical annex.
Industry software:MoTeC i2 Pro, rFactor Pro, VI-grade VI-DriveSim, MATLAB/Simulink and Python, in free, academic or evaluation versions.
Final project:a complete simulator validation study, from experiment design and instrumentation to user testing and data-driven design recommendations, reviewed by your tutor.
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.

Validation objective and experiment design
Define what needs validating and design the experiment to test it.
Simulator set-up
Configure the simulator, vehicle model and scenarios for the study.
Instrumentation and user testing
Instrument the session with telemetry and run the tests with users.
Data analysis and conclusions
Analyse the data and draw design conclusions and improvement recommendations.
Final project
Present the complete simulator validation study in a report and presentation, reviewed by your tutor.
Career opportunities

Where this takes you

Driving Simulation EngineerData and Telemetry EngineerHMI ResearcherVehicle Dynamics EngineerProduct Usage Data AnalystTrack Engineer
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • 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 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with MoTeC i2 Pro, rFactor Pro, VI-grade VI-DriveSim, MATLAB/Simulink 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), 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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