Master’s in Race Strategy and Tyre Management Engineering
Online master's programme of 1,900 hours in race strategy and tyre management engineering, with 12 modules covering strategy in motorcycle racing, FIM sporting regulations, racing tyres, degradation modelling, weekend planning, race simulation, changing conditions, energy and fuel management, endurance racing and decision-making under pressure, with an assigned technical tutor.
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.
What you will be able to do
Understand the sporting regulations that shape strategy.
Model tyre degradation over the course of the race.
Plan tyre allocation across the race weekend.
Simulate race scenarios with probabilistic methods.
Design strategies for changing conditions and flag-to-flag races.
Manage pit stops, fuel and rider changes in endurance racing.
Develop the complete strategy for a motorcycle racing event.
Who it's for
- Race strategy engineers in road racing teams.
- Team tyre engineers.
- Track engineers.
- Racing data analysts.
- Technical directors.
- Endurance racing coordinators.
- Engineering or science graduates aiming to join road racing teams.
What you'll work with
- FIM Grand Prix Regulations (MotoGP sporting and technical rules)
- FIM Superbike and Supersport World Championship Regulations (production-based racing rules)
- FIM Endurance World Championship Regulations (endurance racing rules)
- FIM Medical Code (rider medical requirements)
- ISO 8855 (vehicle dynamics vocabulary)
- ETRTO Standards Manual (tyre and rim standards)
- UNECE Regulation No. 75 (motorcycle tyres)
- FIM Environmental Code (environmental protection at events)
- MATLAB
- Python
- MoTeC i2 Pro
- R
- Advanced Excel
12 modules · 1900 h
1.1Differences from car racing1.2Controllable and uncontrollable variables1.3Sporting regulations and strategy1.4Qualifying and grid position1.5Race pace1.6Role of the strategy engineer1.7Communication with the rider1.8Pit-board messages1.9Common strategic mistakes1.10Case study: strategic analysis of a Grand Prix
2.1Weekend format2.2Practice and qualifying sessions2.3Sprint race format2.4Flags and procedures2.5Red flag and restart2.6Flag-to-flag race procedure2.7Long lap and penalties2.8Mandatory minimum pressures2.9Tyre allocation2.10Practical: reading the sporting regulations
3.1Compound range3.2Front and rear construction3.3Temperature window3.4Use of tyre warmers3.5Cold and hot pressures3.6Pressure sensors3.7Visual tyre reading3.8Wet and intermediate tyres3.9Tyre logistics3.10Lab: analysis of pressure and temperature data
4.1Lap time loss4.2Thermal and mechanical degradation4.3Influence of the fuel load4.4Track evolution4.5Linear and non-linear models4.6Fitting with long-run data4.7Differences between riders4.8Tyre management by the rider4.9Model uncertainty4.10Workshop: degradation model in Python
5.1Session plan5.2Compound allocation by session5.3Long and short runs5.4Race simulation in practice5.5Saving tyres for the race5.6Qualifying on new tyres5.7Use of the weather forecast5.8Meetings with the supplier5.9Plan adjustments5.10Practical: tyre plan for a weekend
6.1Lap time models6.2Overtaking and traffic6.3Starts and opening laps6.4Monte Carlo simulation6.5Probability of crashes and flags6.6Weather scenarios during the race6.7Sensitivity analysis6.8Visualisation of results6.9Decision-making6.10Lab: Monte Carlo simulation of a race
7.1Rain and mixed conditions7.2Flag-to-flag procedure in the race7.3Bike swap in the pit lane7.4Optimum swap timing7.5Set-up of the second bike7.6Risk and reward7.7Communication with the rider7.8Real-time data7.9Historical race cases7.10Case study: bike swap decision
8.1Consumption and fuel limit8.2Fuel-saving maps8.3Impact on pace8.4Fuel and weight8.5Electric motorcycles and energy8.6Energy strategies8.7Consumption telemetry8.8Reserve protocols8.9Management in sprint races8.10Practical: fuel strategy for a long race
9.1Endurance race format9.2Rider changes9.3Pit stops and wheel changes9.4Fast refuelling in the pit lane9.5Tyre management in endurance9.6Night riding in endurance9.7Rider fatigue9.8Motorcycle reliability9.9Garage organisation9.10Workshop: pit stop strategy for a 24-hour race
10.1Decision processes10.2Decisions with incomplete information10.3Cognitive biases in decision-making10.4Roles and responsibilities10.5Communication in the garage10.6Decision protocols10.7Post-race analysis10.8Team organisational learning10.9Support tools10.10Case study: analysis of a poor strategic decision
11.1Timing data11.2Competitor data11.3Strategy dashboards11.4Use of the weather forecast11.5Available commercial tools11.6Developing in-house tools11.7Automating tests and analysis11.8Live use11.9Validation of results11.10Practical: live strategy dashboard
12.1Event selection12.2Analysis of the applicable regulations12.3Degradation model12.4Tyre plan12.5Scenario simulation12.6Main and alternative strategies12.7Support tool12.8Evaluation of results12.9Thesis report12.10Master's Thesis: defence before a panel
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 the intake, so you can combine it with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB, Python, MoTeC i2 Pro, R and advanced Excel, in free, academic or evaluation versions. Tests are studied through real procedures: Monte Carlo simulation of a race with possible red flags, tyre planning for a weekend with variable weather, and pit stop strategy in a motorcycle endurance race. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: FIM Grand Prix Regulations, FIM Superbike and Supersport World Championship Regulations, FIM Endurance World Championship Regulations, FIM Medical Code, ISO 8855, ETRTO Standards Manual, UNECE Regulation No. 75, FIM Environmental Code.
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
- 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.
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, Python, MoTeC i2 Pro, R and advanced Excel, 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 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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