Master’s in Lap Time Simulation & Driver-in-the-Loop Engineering
Online master's programme of 1,900 hours in lap time simulation and driver-in-the-loop engineering, structured in 12 modules covering vehicle dynamics, tyre modelling, quasi-static and optimal-control simulation, DiL simulators, correlation and set-up optimisation, with an assigned technical tutor.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Build vehicle models for lap time simulation.
Compare quasi-static, transient and optimal-control methods.
Model tyres, aerodynamics and powertrain for simulation.
Operate driver-in-the-loop simulators and their motion systems.
Correlate simulation with track data systematically.
Optimise set-ups through sensitivity studies.
Develop a complete simulation and correlation study for a circuit.
Who it's for
- Lap time simulation engineers seeking a deeper grounding in modelling and optimal control.
- DiL simulator engineers who run driver programmes and motion systems.
- Vehicle dynamics engineers moving into simulation-led development.
- Correlation engineers who reconcile simulator and track data.
- Performance engineers working on set-up and strategy.
- Vehicle model developers building real-time and offline models.
- Engineering or science graduates aiming to join formula and GT teams.
What you'll work with
- FIA International Sporting Code (sporting rules for international motorsport)
- FIA Formula One Sporting Regulations (sporting rules for the F1 championship)
- ISO 8855 (vehicle dynamics vocabulary and axis systems)
- ISO 4138 (steady-state circular driving test)
- ISO 7401 (lateral transient response test methods)
- ISO 3888-1 (double lane-change test track)
- SAE J670 (vehicle dynamics terminology)
- ASAM OpenDRIVE (road network description format)
- MATLAB/Simulink
- IPG CarMaker
- VI-grade DiM and VI-CarRealTime
- rFpro
- Python
12 modules · 1900 h
1.1. Coordinate systems according to ISO 88551.2. Longitudinal and lateral load transfer1.3. g-g diagram and grip envelope1.4. Bicycle model and understeer gradient1.5. Roll centre and suspension geometry1.6. Roll stiffness and its distribution1.7. Influence of aerodynamics on grip1.8. Transient response and stability1.9. Steady-state tests to ISO 41381.10. Case study: balance of a single-seater
2.1. Tyre forces and moments2.2. Pacejka Magic Formula2.3. Tread thermal models2.4. Effect of pressure and load2.5. Relaxation and transient response2.6. Degradation and wear2.7. Fitting models with rig data2.8. MF-Swift and FTire models2.9. Limitations of supplier data2.10. Lab: fitting a Pacejka model
3.1. Aerodynamic maps by ride height3.2. Sensitivity to pitch and roll3.3. DRS effect and wakes3.4. Torque curves and shift strategies3.5. Modelling ERS hybrid systems3.6. Energy management per lap3.7. Transmission losses3.8. Brakes and brake balance3.9. Fuel consumption per lap3.10. Practical: aerodynamic map in the model
4.1. Track discretisation4.2. Maximum speed profile from curvature4.3. Acceleration and braking passes4.4. Racing line and corner radius4.5. Lap time sensitivities4.6. Limitations of the quasi-static method4.7. Modelling kerbs and banking4.8. Obtaining track layouts with GPS and OpenDRIVE4.9. Validation with lap data4.10. Workshop: quasi-static simulator in Python
5.1. 7 and 14 degree-of-freedom models5.2. Driver models with predictive control5.3. Minimum-time optimal control formulation5.4. Direct collocation and non-linear solvers5.5. Tyre and energy constraints5.6. Comparison of computation times5.7. Robustness of the solution5.8. Interpreting optimal trajectories5.9. Use in regulation studies5.10. Lab: optimal lap with CasADi
6.1. Architecture of a DiL simulator6.2. Motion platforms and degrees of freedom6.3. Motion cueing algorithms6.4. Visual systems and latency6.5. Steering and pedal feedback6.6. Real-time models and hardware6.7. Laser scanning of circuits6.8. Simulator sickness and its mitigation6.9. Operator and driver safety6.10. Practical: cueing configuration
7.1. Planning simulator sessions7.2. Preparing new circuits7.3. Set-up testing with a driver7.4. Developing race start and pit stop procedures7.5. Subjective assessment and rating scales7.6. Recording driver feedback7.7. Driver fatigue and workload7.8. Simulating wet conditions7.9. Using the simulator during the race weekend7.10. Case study: preparing for a grand prix
8.1. Sources of error in simulation8.2. Lap-by-lap channel comparison8.3. Fitting tyre parameters8.4. Aerodynamic correlation with track data8.5. Minimum corner speed analysis8.6. Tuning the driver model8.7. Quantitative correlation metrics8.8. Model version management8.9. Correlation reports for engineering8.10. Workshop: correlating a real lap
9.1. Design of experiments in simulation9.2. Lap time response surfaces9.3. Multi-objective optimisation techniques9.4. Trade-offs between qualifying and race9.5. Sensitivity to ride height and stiffness9.6. Brake balance and differential9.7. Validation with a driver in the DiL9.8. Robustness to track conditions9.9. Communicating proposals to the race engineer9.10. Practical: automated set-up sweep
10.1. Degradation and fuel models10.2. Pit stop simulation10.3. Traffic and overtaking10.4. Safety car and probabilities10.5. Monte Carlo applied to strategy10.6. Energy management in the race10.7. Optimal pit windows10.8. Decision-making under uncertainty10.9. Integration with pit-wall tools10.10. Case study: strategy for a two-stop race
11.1. Restrictions on track testing11.2. Wind tunnel and CFD hour limits11.3. Cost cap and simulators11.4. Security of simulation data11.5. Simulation in esports and driver training11.6. Trends in motion simulators11.7. Simulation for junior categories11.8. Ethics in driver evaluation11.9. Managing simulation suppliers11.10. Case study: annual simulator plan
12.1. Choice of vehicle and circuit12.2. Building the vehicle model12.3. Baseline quasi-static simulation12.4. Transient or optimal simulation12.5. DiL session or equivalent12.6. Correlation with reference data12.7. Set-up sensitivity study12.8. Conclusions for race engineering12.9. Master's Thesis report12.10. Master's Thesis: defence before a panel
How you'll learn
The programme is delivered 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. The working software is MATLAB/Simulink, IPG CarMaker, VI-grade DiM and VI-CarRealTime, rFpro and Python, in free, academic or evaluation versions. Exercises are based on real procedures: correlating lap times between simulator and track, running a driver-in-the-loop session to prepare a new circuit and carrying out a set-up sensitivity study with quasi-static simulation. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: FIA International Sporting Code, FIA Formula One Sporting Regulations, ISO 8855, ISO 4138, ISO 7401, ISO 3888-1, SAE J670, ASAM OpenDRIVE.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer able to run the programme's 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.
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 MATLAB/Simulink, IPG CarMaker, VI-grade DiM and VI-CarRealTime, rFpro 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 suitable computer and internet connection, 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.
Related programmes
Master’s in Aeroelasticity and Composite Bodywork Structures Engineering
Online master's programme of 1,900 hours in aeroelasticity and composite bodywork structures engineering: 12 modules covering composite materials, laminate mechanics, finite element analysis, aeroelasticity, deflection and…
Master’s in Test & Correlation Programmes (CFD↔Wind Tunnel↔Track, DoE)
Online master's programme of 1,900 hours in test and correlation programmes for motorsport. 12 modules covering CFD, wind tunnel testing, track instrumentation, CFD–tunnel–track correlation, design of…
Master’s in Platform Cybersecurity and Tactical Communications Engineering
Online master's programme of 1,900 hours in cybersecurity engineering for platforms and tactical communications. 12 modules covering NIST SP 800-53, ISO/IEC 27001:2022, ISO/IEC 15408, embedded systems…
More in Automotive & Motorsport
All Automotive & Motorsport programmes → · How to apply · Fees & financing · Scholarships