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Master'sAutomotive & Motorsport Applications open

Master’s in Tyre Science & Race Tyre Engineering

Online master's programme of 1,900 hours in tyre science and race tyre engineering: 12 modules covering tyre materials and compounds, contact mechanics and grip, tyre force models, thermal behaviour, degradation, tyre testing, vehicle dynamics integration, race strategy and regulations, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

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.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Understand the structure and materials of the racing tyre.

02

Analyse contact mechanics and grip.

03

Model tyre forces with Pacejka and physical models.

04

Simulate the thermal behaviour of the tyre.

05

Analyse degradation and wear.

06

Integrate the tyre into vehicle dynamics.

07

Design tyre-based race strategies.

Profile

Who it's for

  • Tyre engineers at teams or tyre manufacturers.
  • Race engineers who need to get more out of the tyre.
  • Race strategists working with degradation and compound data.
  • Tyre modelling engineers building force and thermal models.
  • Compound engineers in the rubber industry.
  • Vehicle simulation engineers integrating tyre models.
  • Engineering or science graduates looking to break into motorsport.
Standards & tools

What you'll work with

  • ISO 8855 (vehicle dynamics and road-holding vocabulary)
  • SAE J2047 (tyre testing)
  • FIA Formula 1 Technical Regulations (technical rules for F1 cars)
  • ISO 28580 (rolling resistance)
  • ASTM D4065 (dynamic mechanical analysis, DMA)
  • FIA Formula 1 Sporting Regulations (sporting rules, including tyre allocation)
  • ETRTO Standards Manual (tyre and rim dimensions and load ratings)
  • MF-Tool
  • MATLAB
  • Python
  • FTire
  • MoTeC i2
Syllabus

12 modules · 1900 h

  1. 1.1Tyre anatomy: carcass, belt and tread
  2. 1.2Slick, wet and intermediate tyres
  3. 1.3Single suppliers and regulations
  4. 1.4Allocation and use over a race weekend
  5. 1.5Influence on lap time
  6. 1.6The race engineer–supplier relationship
  7. 1.7History of tyre technology
  8. 1.8Tyre sustainability
  9. 1.9Safety and failures
  10. 1.10Case study: analysis of compound allocation at a Grand Prix
  1. 2.1Elastomers: natural and synthetic rubber
  2. 2.2Reinforcing fillers: carbon black and silica
  3. 2.3Vulcanisation
  4. 2.4Viscoelasticity
  5. 2.5Glass transition temperature
  6. 2.6Storage and loss moduli
  7. 2.7DMA testing
  8. 2.8Compound design
  9. 2.9Sustainable materials
  10. 2.10Lab: interpretation of DMA curves
  1. 3.1Contact patch and pressure
  2. 3.2Molecular adhesion and hysteresis
  3. 3.3Persson's rubber friction theory
  4. 3.4Asphalt roughness
  5. 3.5Wet grip
  6. 3.6Aquaplaning
  7. 3.7Effect of temperature
  8. 3.8Interaction with the track: rubbered-in surface
  9. 3.9Contact patch measurement
  10. 3.10Practical: contact patch calculation with inflation pressure
  1. 4.1Longitudinal and lateral forces
  2. 4.2Self-aligning moment
  3. 4.3Pacejka Magic Formula MF 6.2
  4. 4.4Physical brush models
  5. 4.5MF-Swift and FTire models
  6. 4.6Combined slip
  7. 4.7Load and pressure sensitivity
  8. 4.8Transient models
  9. 4.9Model parameterisation
  10. 4.10Lab: MF 6.2 fitting with MF-Tool
  1. 5.1Heat generation through hysteresis and sliding
  2. 5.2Surface and core temperature
  3. 5.3Operating window
  4. 5.4Multi-node thermal models
  5. 5.5Influence of pressure on temperature
  6. 5.6Warm-up on the out-lap
  7. 5.7Tyre blankets and their regulation
  8. 5.8Tyre thermography
  9. 5.9Thermal management in the race
  10. 5.10Practical: multi-node thermal model in Python
  1. 6.1Wear mechanisms
  2. 6.2Thermal degradation
  3. 6.3Graining and blistering
  4. 6.4Compound crystallisation
  5. 6.5Degradation models
  6. 6.6Race degradation curves
  7. 6.7Influence of the driver
  8. 6.8Influence of the set-up
  9. 6.9Wear measurement
  10. 6.10Case study: degradation analysis with lap time data
  1. 7.1Flat-track rigs
  2. 7.2Drum testing
  3. 7.3Stiffness testing
  4. 7.4Instrumented track testing
  5. 7.5Wheel force transducers
  6. 7.6TPMS pressure and temperature sensors
  7. 7.7Durability testing
  8. 7.8Rig–track correlation
  9. 7.9TTC test procedures
  10. 7.10Lab: processing flat-track data
  1. 8.1Effect of the tyre on balance
  2. 8.2Optimum camber and toe
  3. 8.3Inflation pressures and regulatory minimums
  4. 8.4Vertical stiffness and suspension
  5. 8.5Tyres and aerodynamics
  6. 8.6Tyres in simulators
  7. 8.7Tyre usage in qualifying
  8. 8.8Tyre usage in the race
  9. 8.9Driver feedback
  10. 8.10Practical: camber optimisation with simulation
  1. 9.1Pit-stop strategy models
  2. 9.2Compound deltas
  3. 9.3Undercut and overcut
  4. 9.4Safety car and probabilities
  5. 9.5Monte Carlo race simulation
  6. 9.6Tyre management by the driver
  7. 9.7Real-time decisions
  8. 9.8Strategy tools
  9. 9.9Post-race analysis
  10. 9.10Lab: strategy simulator in Python
  1. 10.1FIA minimum pressures and cambers
  2. 10.2Tyre failures and their analysis
  3. 10.3High-speed endurance tests
  4. 10.4Tyre blanket regulations
  5. 10.5Compound restrictions
  6. 10.6Homologation processes
  7. 10.7Wet tyre regulations
  8. 10.8Supplier responsibilities
  9. 10.9Incident communication
  10. 10.10Case study: analysis of a tyre failure
  1. 11.1The compound development process
  2. 11.2Simulation in tyre design
  3. 11.3Finite element modelling of tyres
  4. 11.418-inch tyres
  5. 11.5Tyres for electric racing cars
  6. 11.6Smart sensors in tyres
  7. 11.7Recycled and sustainable materials
  8. 11.8Transfer to road tyres
  9. 11.9Trends
  10. 11.10Workshop: compound development plan
  1. 12.1Definition of the tyre problem
  2. 12.2Data collection
  3. 12.3Force modelling
  4. 12.4Thermal modelling
  5. 12.5Degradation analysis
  6. 12.6Integration into simulation
  7. 12.7Usage or strategy proposal
  8. 12.8Conclusions
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
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 can be combined with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MF-Tool, MATLAB, Python, FTire and MoTeC i2, in free, academic or evaluation versions. Testing is studied through real procedures for fitting tyre models to rig data, thermal and degradation modelling and race strategy simulation. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO 8855, SAE J2047, FIA Formula 1 Technical Regulations, ISO 28580, ASTM D4065, FIA Formula 1 Sporting Regulations, ETRTO Standards Manual.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 8855, SAE J2047 and the FIA Formula 1 Technical Regulations applied to real cases, not as a theoretical annex.
Industry software:MF-Tool, MATLAB, Python, FTire and MoTeC i2, in free, academic or evaluation versions.
Master's Thesis with defence:A complete tyre engineering study, from data collection and force and thermal modelling to degradation analysis and a usage or strategy proposal, 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.

Compound characterisation
Interpret DMA curves and calculate the contact patch for different inflation pressures.
Force model fitting
Fit an MF 6.2 model with MF-Tool using processed flat-track data.
Thermal and degradation modelling
Build a multi-node thermal model in Python and analyse degradation from lap time data.
Strategy simulation
Develop a Python race strategy simulator using compound deltas and Monte Carlo methods.
Master's Thesis
Solve a real tyre engineering problem from modelling to strategy proposal, defended before a panel.
Career opportunities

Where this takes you

Tyre engineerRace engineerRace strategistTyre modelling engineerCompound engineerVehicle simulation engineer
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.

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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 MF-Tool, MATLAB, Python, FTire and MoTeC i2, 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 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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