Postgraduate Diploma in Characterisation & Wear Analytics During the Race
Online 800-hour Postgraduate Diploma in Characterisation & Wear Analytics During the Race. 8 modules with ISO 8855, SAE J2047 and Python (scikit-learn). Assigned tutor and open enrolment.
Postgraduate Diploma in Characterisation & Wear Analytics During the Race — studying from the United States
Automotive engineering in the United States is concentrated in Michigan's Detroit region, with major hubs in Ohio, Indiana, Tennessee and California. Large manufacturers and suppliers, including General Motors, Ford, Stellantis and Tesla, employ engineers across powertrain, chassis, body and vehicle integration. Motorsport, centered in North Carolina and the Indianapolis area, offers specialized opportunities in performance engineering and race vehicle development. Strong regulatory frameworks shape design requirements, making compliance knowledge a valuable asset for engineers in the sector.
Fees for the United States: US$1,670 (US Dollars), with instalments and employer sponsorship available.
Relevant bodies in the United States
Typical roles
Questions from the United States
Which US bodies relate to automotive engineering, and how is it regulated?
Automotive engineering in the US is supported by SAE International, which publishes widely used standards, and the Society of Automotive Engineers’ professional community. Vehicle safety is regulated federally by the National Highway Traffic Safety Administration (NHTSA), and emissions by the Environmental Protection Agency (EPA). Engineering licensure, where it applies, is handled by state boards. SEIUM's private qualifications are not official degrees, so their recognition depends on employers or the relevant body.
How do US automotive and motorsport employers view private online engineering courses?
US automakers, suppliers and motorsport teams generally hire on the basis of accredited degrees, verified experience and demonstrable技术 skills. A private online qualification may support a career move or a specialist skill set, but its weight is decided by each hiring manager. Practical projects and a strong portfolio often matter as much as the credential itself, so treat it as one input among several.
Is a US-based student able to manage a programme's workload alongside a job?
Yes, the programmes are 100% online and taught in English, so there is no travel or visa requirement. The workload is substantial: 1,900 hours for a master's, 800 hours for a postgraduate diploma, and 300 hours for a specialist course. Each student has an assigned technical tutor for support. Fees can be paid in instalments, and employer sponsorship may be possible, so check with your employer about training support.
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
Characterise race tyres through standardised tests.
Measure and quantify tread wear.
Apply data analytics to tyre degradation.
Estimate tyre condition during the race.
Plan compound evaluation tests.
Build correlated predictive models.
Translate results into strategy and set-up decisions.
Who it's for
- Tyre engineer who wants to specialise in Characterisation & Wear Analytics During the Race.
- Performance data analyst who wants to specialise in Characterisation & Wear Analytics During the Race.
- Sports data scientist who wants to specialise in Characterisation & Wear Analytics During the Race.
- Strategy engineer who wants to specialise in Characterisation & Wear Analytics During the Race.
- Test engineer who wants to specialise in Characterisation & Wear Analytics During the Race.
- Modelling engineer who wants to specialise in Characterisation & Wear Analytics During the Race.
- Engineering or science graduates seeking to enter motorsport.
What you'll work with
- ISO 8855
- SAE J2047
- SAE J670
- ISO 28580
- UN ECE R117
- ETRTO Standards Manual
- FIA Formula 1 Sporting Regulations
8 modules · 800 h
1.1Objectives of characterisation1.2Indoor vs outdoor testing1.3Input variables: load, slip angle, pressure1.4Lateral and longitudinal force curves1.5Characterisation at different temperatures1.6Variation between units1.7Pre-run break-in protocols1.8Supplier data1.9Tyre databases1.10Case study: analysis of a slip angle sweep
2.1Abrasive and fatigue wear mechanisms2.2Measuring tread depth2.3Laser profile scanning2.4Tyre mass loss2.5Wear by tread zone2.6Influence of slip energy2.7Wear on different asphalts2.8Graining and its quantification2.9Correlation with driving style2.10Practical: profile measurement with a scanner
3.1Relevant telemetry variables3.2Estimation of tyre forces3.3Energy indicators per wheel3.4Feature engineering3.5Degradation regression models3.6Applied machine learning3.7Validation of predictive models3.8Trend visualisation3.9Outlier management3.10Laboratory: predictive degradation model in Python
4.1Force observers4.2Extended Kalman filters4.3Internal temperature estimation4.4Available grip estimation4.5Detection of performance loss4.6Cliff prediction4.7Alerts to the race engineer4.8Integration with strategy4.9Sensor limitations4.10Case study: real-time grip estimator
5.1Tyre test design5.2Compound evaluation runs5.3Control of external variables5.4Standardised evaluation procedures5.5Post-session measurement protocols5.6Returning tyres to the supplier5.7Allocation and usage rules5.8Cost and logistics5.9Safety in testing5.10Workshop: compound test plan
6.1Correlation between rig and track6.2Model fitting with race data6.3Prediction uncertainty6.4Hybrid physics and data models6.5Transfer between circuits6.6Continuous model updating6.7Benchmarking against rivals6.8Communicating results6.9Knowledge management6.10Case study: transferring a model between circuits
7.1Race compound selection7.2Pressure recommendations7.3Set-up adjustments for wear7.4Data-based pit stop strategy7.5Tyre allocation during the weekend7.6Tyre reports7.7Real-time decisions7.8Coordination with the strategist7.9Assessing accuracy of decisions7.10Practical: weekend tyre report
8.1Definition of objectives8.2Data collection8.3Tyre characterisation8.4Wear analysis8.5Development of the predictive model8.6In-race estimator8.7Model validation8.8Strategic recommendations for the team8.9Dissertation and presentation8.10Final review with the tutor
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, making it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (scikit-learn), MATLAB, MoTeC i2 Pro, MF-Tyre/MF-Swift, Power BI, in free, academic or evaluation versions. Tests are studied using real wear measurement procedures with laser scanners, flat-belt characterisation tests and telemetry analysis of long runs. Assessment is continuous across each module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Characterise race tyres through standardised tests.
Measure and quantify tread wear.
Apply data analytics to tyre degradation.
Estimate tyre condition during the race.
Plan compound evaluation tests.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulation texts.
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 comprises 800 hours in total, spread over 6 to 8 months. That equates to an average of 10 to 15 hours per week, compatible with a full-time job.
The programme uses Python (scikit-learn), MATLAB, MoTeC i2 Pro, MF-Tyre/MF-Swift and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Please check the recognition policy when you enrol.
Related programmes
Postgraduate Diploma in DIL Correlation and Driver Parameterisation
Online 800-hour Postgraduate Diploma in DIL Correlation and Driver Parameterisation. 8 modules covering ISO 8855:2011 vehicle dynamics, vocabulary, SAE J2944 driving performance measures and VI-grade DiM…
Diploma in Environmental Damage Assessment and Cover
Online postgraduate diploma of 800 hours in environmental damage assessment and cover. 8 modules covering the fundamentals, the regulatory framework (Solvency II, IFRS 17, Delegated Regulation…
Diploma in Audiovisual Rights and Multi-Platform Exploitation
Online postgraduate diploma of 800 hours in audiovisual rights and multi-platform exploitation. 8 modules covering audiovisual intellectual property, production and acquisition contracts, windows and territories, sports…
More in Automotive & Motorsport
All Automotive & Motorsport programmes → · How to apply · Fees & financing · Scholarships