Master'sMotorcycles & 2-Wheelers Applications open

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.

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

Understand the sporting regulations that shape strategy.

02

Model tyre degradation over the course of the race.

03

Plan tyre allocation across the race weekend.

04

Simulate race scenarios with probabilistic methods.

05

Design strategies for changing conditions and flag-to-flag races.

06

Manage pit stops, fuel and rider changes in endurance racing.

07

Develop the complete strategy for a motorcycle racing event.

Profile

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.
Standards & tools

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
Syllabus

12 modules · 1900 h

  1. 1.1Differences from car racing
  2. 1.2Controllable and uncontrollable variables
  3. 1.3Sporting regulations and strategy
  4. 1.4Qualifying and grid position
  5. 1.5Race pace
  6. 1.6Role of the strategy engineer
  7. 1.7Communication with the rider
  8. 1.8Pit-board messages
  9. 1.9Common strategic mistakes
  10. 1.10Case study: strategic analysis of a Grand Prix
  1. 2.1Weekend format
  2. 2.2Practice and qualifying sessions
  3. 2.3Sprint race format
  4. 2.4Flags and procedures
  5. 2.5Red flag and restart
  6. 2.6Flag-to-flag race procedure
  7. 2.7Long lap and penalties
  8. 2.8Mandatory minimum pressures
  9. 2.9Tyre allocation
  10. 2.10Practical: reading the sporting regulations
  1. 3.1Compound range
  2. 3.2Front and rear construction
  3. 3.3Temperature window
  4. 3.4Use of tyre warmers
  5. 3.5Cold and hot pressures
  6. 3.6Pressure sensors
  7. 3.7Visual tyre reading
  8. 3.8Wet and intermediate tyres
  9. 3.9Tyre logistics
  10. 3.10Lab: analysis of pressure and temperature data
  1. 4.1Lap time loss
  2. 4.2Thermal and mechanical degradation
  3. 4.3Influence of the fuel load
  4. 4.4Track evolution
  5. 4.5Linear and non-linear models
  6. 4.6Fitting with long-run data
  7. 4.7Differences between riders
  8. 4.8Tyre management by the rider
  9. 4.9Model uncertainty
  10. 4.10Workshop: degradation model in Python
  1. 5.1Session plan
  2. 5.2Compound allocation by session
  3. 5.3Long and short runs
  4. 5.4Race simulation in practice
  5. 5.5Saving tyres for the race
  6. 5.6Qualifying on new tyres
  7. 5.7Use of the weather forecast
  8. 5.8Meetings with the supplier
  9. 5.9Plan adjustments
  10. 5.10Practical: tyre plan for a weekend
  1. 6.1Lap time models
  2. 6.2Overtaking and traffic
  3. 6.3Starts and opening laps
  4. 6.4Monte Carlo simulation
  5. 6.5Probability of crashes and flags
  6. 6.6Weather scenarios during the race
  7. 6.7Sensitivity analysis
  8. 6.8Visualisation of results
  9. 6.9Decision-making
  10. 6.10Lab: Monte Carlo simulation of a race
  1. 7.1Rain and mixed conditions
  2. 7.2Flag-to-flag procedure in the race
  3. 7.3Bike swap in the pit lane
  4. 7.4Optimum swap timing
  5. 7.5Set-up of the second bike
  6. 7.6Risk and reward
  7. 7.7Communication with the rider
  8. 7.8Real-time data
  9. 7.9Historical race cases
  10. 7.10Case study: bike swap decision
  1. 8.1Consumption and fuel limit
  2. 8.2Fuel-saving maps
  3. 8.3Impact on pace
  4. 8.4Fuel and weight
  5. 8.5Electric motorcycles and energy
  6. 8.6Energy strategies
  7. 8.7Consumption telemetry
  8. 8.8Reserve protocols
  9. 8.9Management in sprint races
  10. 8.10Practical: fuel strategy for a long race
  1. 9.1Endurance race format
  2. 9.2Rider changes
  3. 9.3Pit stops and wheel changes
  4. 9.4Fast refuelling in the pit lane
  5. 9.5Tyre management in endurance
  6. 9.6Night riding in endurance
  7. 9.7Rider fatigue
  8. 9.8Motorcycle reliability
  9. 9.9Garage organisation
  10. 9.10Workshop: pit stop strategy for a 24-hour race
  1. 10.1Decision processes
  2. 10.2Decisions with incomplete information
  3. 10.3Cognitive biases in decision-making
  4. 10.4Roles and responsibilities
  5. 10.5Communication in the garage
  6. 10.6Decision protocols
  7. 10.7Post-race analysis
  8. 10.8Team organisational learning
  9. 10.9Support tools
  10. 10.10Case study: analysis of a poor strategic decision
  1. 11.1Timing data
  2. 11.2Competitor data
  3. 11.3Strategy dashboards
  4. 11.4Use of the weather forecast
  5. 11.5Available commercial tools
  6. 11.6Developing in-house tools
  7. 11.7Automating tests and analysis
  8. 11.8Live use
  9. 11.9Validation of results
  10. 11.10Practical: live strategy dashboard
  1. 12.1Event selection
  2. 12.2Analysis of the applicable regulations
  3. 12.3Degradation model
  4. 12.4Tyre plan
  5. 12.5Scenario simulation
  6. 12.6Main and alternative strategies
  7. 12.7Support tool
  8. 12.8Evaluation of results
  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 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.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the FIM Grand Prix Regulations, FIM Superbike and Supersport World Championship Regulations and FIM Endurance World Championship Regulations applied to real cases, not as a theoretical annex.
Industry software:MATLAB, Python, MoTeC i2 Pro, R and advanced Excel, in free, academic or evaluation versions.
Master's Thesis with defence:The complete strategy for a motorcycle racing event, from regulations and degradation model to tyre plan, scenario simulation and support tool, 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.

Event and regulations
Select the event and analyse the applicable sporting regulations.
Degradation model
Build a tyre degradation model from long-run data.
Tyre plan and simulation
Plan tyre allocation and simulate race scenarios with Monte Carlo.
Strategy and support tool
Define main and alternative strategies and a live support tool.
Master's Thesis
The complete race strategy for a motorcycle event, defended before a panel.
Career opportunities

Where this takes you

Race strategy engineerTeam tyre engineerTrack engineerRacing data analystTechnical directorEndurance racing coordinator
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.

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 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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