CourseAutomotive & Motorsport Applications open

Racing simulation course with real data

Online course of 300 hours in race simulation with real data. 6 modules covering types of race simulation, obtaining and preparing real data, building the vehicle model, correlation with reality, full race simulation, and a simulation project with real data, with the FIA Formula 1 Sporting Regulations, ISO 8855, SAE J670 and ChassisSim, with an assigned technical tutor.

Duration300 hours · 3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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

Distinguish the types of simulation used in motorsport.

02

Prepare real data to feed a simulation model.

03

Build a vehicle model with justified parameters.

04

Correlate the simulation with real telemetry.

05

Simulate full races with degradation and pit stops.

06

Compare strategies through statistical analysis.

07

Communicate simulation-based recommendations.

Profile

Who it's for

  • Simulation engineers.
  • Strategy engineers.
  • Performance analysts.
  • Vehicle model developers.
  • Driver-in-the-loop simulator engineers.
  • Track engineers.
  • Engineering or science graduates looking to break into motorsport.
Standards & tools

What you'll work with

  • FIA Formula 1 Sporting Regulations (testing restrictions)
  • ISO 8855 (vehicle dynamics vocabulary)
  • SAE J670 (vehicle dynamics terminology)
  • ASAM OpenDRIVE (road network description)
  • ASAM MDF (measurement data format)
  • ISO 8608 (road surface profiles)
  • ChassisSim
  • OptimumLap
  • rFactor 2
  • Assetto Corsa Competizione
  • MATLAB
Syllabus

6 modules

  1. 1.1Driver-in-the-loop simulators versus lap simulators
  2. 1.2Quasi-static and transient simulation
  3. 1.3Full race and strategy simulators
  4. 1.4Vehicle models of increasing complexity
  5. 1.5Professional simulators with motion platforms
  6. 1.6Commercial sim racing platforms
  7. 1.7Use of simulators in professional teams
  8. 1.8Advantages and limitations compared with real testing
  9. 1.9Regulatory testing restrictions
  10. 1.10Practical: comparison of three simulation tools
  1. 2.1Telemetry data as a source for the model
  2. 2.2Circuit layout from GPS
  3. 2.3Laser scanning of the circuit and its use
  4. 2.4Tyre data and its scarcity
  5. 2.5Engine data and power curves
  6. 2.6Aerodynamic data from wind tunnel or CFD
  7. 2.7Data cleaning and filtering
  8. 2.8Exchange formats between tools
  9. 2.9Data confidentiality and ownership
  10. 2.10Workshop: generating a track layout from GPS data
  1. 3.1Mass and inertia parameters
  2. 3.2Simplified tyre model
  3. 3.3Aerodynamic maps by ride height
  4. 3.4Engine and transmission model
  5. 3.5Brake and brake balance model
  6. 3.6Suspension and load transfer model
  7. 3.7Consumption and degradation model
  8. 3.8Tuning unknown parameters
  9. 3.9Model documentation
  10. 3.10Lab: vehicle model in ChassisSim
  1. 4.1Comparison of simulated and real speed
  2. 4.2Adjusting overall tyre grip
  3. 4.3Correlation of sector times
  4. 4.4Correlation of fuel consumption
  5. 4.5Systematic model errors
  6. 4.6Sensitivity to key parameters
  7. 4.7Validation across several sessions
  8. 4.8Correlation quality indicators
  9. 4.9Model confidence limits
  10. 4.10Case study: correlation of a qualifying lap
  1. 5.1Lap-by-lap tyre degradation
  2. 5.2Effect of fuel consumption on car weight
  3. 5.3Traffic and time lost overtaking
  4. 5.4Pit stops and time lost
  5. 5.5Neutralisations and safety car
  6. 5.6Simulation of alternative strategies
  7. 5.7Statistical analysis with Monte Carlo
  8. 5.8Visualisation of results
  9. 5.9Decision-making on the pit wall
  10. 5.10Case study: simulation of a 25-lap race
  1. 6.1Selection of the circuit and vehicle
  2. 6.2Data collection and cleaning
  3. 6.3Building the model
  4. 6.4Correlation with a real session
  5. 6.5Race simulation
  6. 6.6Strategy comparison
  7. 6.7Risk and sensitivity analysis
  8. 6.8Recommendations to the team
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
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 it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ChassisSim, OptimumLap, rFactor 2, Assetto Corsa Competizione and MATLAB, in free, academic or evaluation versions. Testing is studied through real procedures: generating track layouts from GPS, correlating models with telemetry and simulating race strategies. Assessment is continuous by module, plus the final project.

Standards covered: FIA Formula 1 Sporting Regulations, ISO 8855, SAE J670, ASAM OpenDRIVE, ASAM MDF, ISO 8608.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the FIA Formula 1 Sporting Regulations, ISO 8855, SAE J670 and ASAM OpenDRIVE applied to real cases, not as a theoretical annex.
Industry software:ChassisSim, OptimumLap, rFactor 2, Assetto Corsa Competizione and MATLAB, in free, academic or evaluation versions.
Final project:a race simulation project with real data, from data collection and model building to correlation with a real session, race simulation, strategy comparison and recommendations to the team, 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.

Circuit, vehicle and data
Select the circuit and vehicle and collect and clean the data.
Vehicle model
Build the vehicle model with justified parameters.
Correlation
Correlate the model with a real session.
Race and strategies
Simulate the race, compare strategies and analyse risks and sensitivity.
Final project
Present the recommendations to the team, reviewed by your tutor.
Career opportunities

Where this takes you

Simulation engineerStrategy engineerPerformance analystVehicle model developerSimulator engineerTrack engineer
Admissions & scholarships

Requirements

  • No prior qualification 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.

FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with ChassisSim, OptimumLap, rFactor 2, Assetto Corsa Competizione and MATLAB, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, 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.

No prior qualification is required: you need an internet connection, 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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