Postgraduate Diploma in TC/LC Based on IMU and Predictive Models
Online 800-hour Postgraduate Diploma in TC/LC Based on IMU and Predictive Models. 8 modules covering ISO 26262-12:2018, ISO 21448 and MATLAB/Simulink. Assigned tutor and open enrolment.
Postgraduate Diploma in TC/LC Based on IMU and Predictive Models — studying from the United Kingdom
The motorcycle and two-wheeler sector in the United Kingdom includes manufacturers, specialist component suppliers and a strong motorsport and leisure market. Triumph, with its major plant in Hinckley, and specialist firms across the Midlands and the South West contribute to design, engineering and production. Electric two-wheeler development and scooter markets are expanding alongside traditional motorcycle engineering. The Driver and Vehicle Standards Agency and the Motorcycle Industry Association support standards and regulation in this area.
Fees for the United Kingdom: £910 (Pound sterling), with instalments and employer sponsorship available.
Relevant bodies in the United Kingdom
Typical roles
Questions from the United Kingdom
Are there UK professional bodies that recognise motorcycle engineering training?
The UK has no single regulated title for motorcycle engineers. Relevant bodies include the Institution of Mechanical Engineers and the Institute of the Motor Industry, which offers its own qualifications. SEIUM's courses are private and not accredited by any national body, so recognition by these organisations would be their decision and is not guaranteed.
Do UK motorcycle manufacturers, dealers or suppliers hire people with private engineering qualifications?
Hiring in the UK motorcycle sector typically values hands-on technical experience, workshop skills and relevant engineering knowledge. A private online qualification may help show specialist learning, especially alongside a strong final project, but employers decide how much weight to place on it. Ask prospective employers directly how they view such training.
How long does the programme take, and can I study while working in the UK?
Specialist courses require 300 hours, postgraduate diplomas 800 hours and master's programmes 1,900 hours. All study is online in English with an assigned technical tutor. You can study from anywhere in the UK without a visa, and fees can be paid in instalments. Employer sponsorship is possible if your employer agrees to support you.
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
Select and calibrate inertial sensors for motorcycles.
Estimate the vehicle state through sensor fusion.
Design traction controllers based on slip and lean angle.
Develop launch control and anti-wheelie strategies.
Apply model-based predictive control.
Calibrate and validate systems on track.
Integrate functional safety requirements.
Who it's for
- Control engineer wishing to specialise in TC/LC based on IMU and Predictive Models.
- Racing electronics engineer wishing to specialise in TC/LC based on IMU and Predictive Models.
- Calibration engineer wishing to specialise in TC/LC based on IMU and Predictive Models.
- Motorcycle dynamics engineer wishing to specialise in TC/LC based on IMU and Predictive Models.
- Embedded software engineer wishing to specialise in TC/LC based on IMU and Predictive Models.
- Functional safety engineer wishing to specialise in TC/LC based on IMU and Predictive Models.
- Graduates in engineering or sciences seeking to enter motorcycle racing.
What you'll work with
- ISO 26262-12:2018
- ISO 21448
- Reglamento Delegado (UE) n.º 3/2014
- ASAM MCD-1 XCP
- ASAM MDF
- IEEE 1554
- FIM Grand Prix Technical Regulations
8 modules · 800 h
1.1MEMS accelerometers and gyroscopes1.2Six-axis IMU1.3Bias and drift errors1.4IMU calibration1.5Mounting and vibration1.6Signal filtering1.7Sampling frequency1.8Fusion with wheel speed1.9Sensor selection1.10Workshop: IMU bias characterisation
2.1Lean angle2.2Pitch angle2.3Actual longitudinal speed2.4Rear wheel slip2.5Sensor fusion of IMU and wheels2.6Extended Kalman filter2.7Low-latency complementary filters2.8Robustness in extreme riding2.9Validation with GNSS-RTK2.10Practical: lean angle estimator with a complementary filter
3.1Slip target3.2Torque reduction via ignition and throttle3.3Ride-by-wire control3.4Intervention levels3.5Dependence on lean angle3.6Slide control3.7Wet-weather management3.8Control on electric motorcycles3.9Rider experience3.10Laboratory: PI slip controller in Simulink
4.1Launch control at the start4.2Initial torque limitation4.3Wheelie detection4.4Pitch control4.5Combined traction and pitch strategies4.6Clutch management4.7Racing use4.8Road motorcycle use4.9Rider-specific adjustments4.10Case study: start strategy for a circuit
5.1Model predictive control5.2Vehicle models for MPC5.3Torque and slip constraints5.4Prediction horizons5.5Machine learning in control5.6Grip prediction5.7Real-time embedded implementation5.8Computational cost on microcontrollers5.9Controller validation5.10Practical: slip MPC with a reduced model
6.1Calibration tools6.2Track testing6.3Low-grip surface testing6.4Reference instrumentation6.5Data analysis6.6Rider assessment6.7Level adjustment6.8Repeatability of interventions6.9Safety in testing6.10Case study: intervention analysis at corner exit
7.1Hazard analysis7.2MSIL classification of functions7.3Safety requirements7.4Software architecture7.5Sensor fault management7.6HIL bench validation7.7Calibration cybersecurity7.8Function homologation7.9Homologation documentation7.10Workshop: IMU failure analysis
8.1Vehicle definition8.2State estimation8.3Traction control design8.4Launch control design8.5Grip predictive model8.6Calibration plan8.7Safety analysis8.8Simulation results8.9Report and presentation8.10Final review with the tutor
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: students progress at their own pace within the intake, which makes it possible to combine the programme with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, BikeSim, ETAS INCA, MoTeC i2 Pro, dSPACE SCALEXIO, in free, academic or evaluation versions. Tests are studied using real traction control test procedures on low-grip surfaces, GNSS-RTK instrumented runs, and hardware-in-the-loop validation of the controller. Assessment is continuous by module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Select and calibrate inertial sensors for motorcycles.
Estimate the vehicle state through sensor fusion.
Design traction controllers based on slip and lean angle.
Develop launch control and anti-wheelie strategies.
Apply model-based predictive control.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Spanish level sufficient to follow the reading of technical regulations.
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 800 hours, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with full-time work.
You will work with MATLAB/Simulink, BikeSim, ETAS INCA, MoTeC i2 Pro and dSPACE SCALEXIO. Free, academic or evaluation versions are used, and the tutor will indicate the free alternative where one exists.
An SEIUM Diploma upon passing the continuous assessment and the integrating project. It 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. Check the recognition policy when you enrol.
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