Postgraduate Diploma in RAMS for 2R and Field Data
Online 800 h Postgraduate Diploma in RAMS for 2R and Field Data. 8 modules covering ISO 26262-12:2018, IEC 61649:2008 and ReliaSoft Weibull++. Assigned tutor and open enrolment.
Postgraduate Diploma in RAMS for 2R and Field Data — studying from the United States
Motorcycle and two-wheeler engineering in the United States centers on established manufacturers and a strong aftermarket. Major brands such as Harley-Davidson, along with Honda, Yamaha, Kawasaki and Indian Motorcycle, maintain design and development operations in the country. The industry also includes electric two-wheeler startups and component suppliers. Engineers work on chassis, powertrain, electronics and rider safety, under federal motor vehicle and emissions regulations.
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
What US professional recognition exists for motorcycle and two-wheeler engineering?
There is no single licensed title for motorcycle engineers in the US. Relevant organizations include SAE International, which publishes vehicle standards, and the Motorcycle Industry Council for industry context. Vehicle safety is regulated by NHTSA and the EPA for emissions. SEIUM qualifications are private and not accredited, so recognition depends on the employer.
What career paths exist for two-wheeler engineers in the United States?
Opportunities exist with motorcycle manufacturers, component suppliers, powertrain and electric two-wheeler startups, and testing or homologation service providers. Roles include design engineer, test engineer, and performance development specialist. Demand and hiring vary by company and market, so research current openings and speak with employers in your target segment.
Can I study this while keeping a job in the US?
Yes, the programmes are 100% online and taught in English, so you study from home and need no student visa. Plan for the stated workload of 300 to 1,900 hours depending on the programme. Fees are payable in instalments, and employer sponsorship may be possible, so discuss support with your employer before you commit.
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
Apply reliability, availability and maintainability models to two-wheeled vehicles.
Collect and cleanse field failure data.
Fit life distributions to censored data.
Build block diagrams and fault trees for critical systems.
Relate RAMS analysis to the functional safety requirements of motorcycles.
Plan reliability tests and accelerated tests.
Implement a FRACAS within the product lifecycle.
Who it's for
- Reliability engineer wishing to specialise in RAMS for 2R and Field Data.
- RAMS engineer wishing to specialise in RAMS for 2R and Field Data.
- Field data analyst wishing to specialise in RAMS for 2R and Field Data.
- Functional safety engineer wishing to specialise in RAMS for 2R and Field Data.
- Validation engineer wishing to specialise in RAMS for 2R and Field Data.
- Product quality manager wishing to specialise in RAMS for 2R and Field Data.
- Graduates in engineering or science seeking to enter motorcycle manufacturing.
What you'll work with
- ISO 26262-12:2018
- IEC 61649:2008
- IEC 60300-3-2:2004
- IEC 60812:2018
- IEC 61025:2006
- IEC 61078:2016
- IEC 61710:2013
- IEC 60706-2:2006
8 modules · 800 h
1.1Reliability functions and failure rate1.2Bathtub curve and failure mechanisms1.3MTBF, MTTF and MTTR1.4Urban, touring and enduro mission profiles1.5Exponential, Weibull and lognormal distributions1.6Series, parallel and redundant systems1.7Allocation of reliability targets1.8Functional safety according to ISO 26262-121.9MSIL classification and integrity levels1.10Practice: reliability targets for a delivery scooter
2.1Sources: warranty, workshop, telematics and fleets2.2Failure data structure and censoring2.3Mileage versus calendar time2.4Data quality and cleansing2.5Usage data from connected vehicles2.6Correlation with weather conditions2.7Fleet maintenance records2.8Return and failed-part analysis2.9Data privacy and anonymisation2.10Laboratory: cleaning a breakdown database
3.1Median rank estimation3.2Maximum likelihood with censored data3.3Weibull probability plotting3.4Confidence intervals and goodness of fit3.5Mixed populations and failure modes3.6Three-parameter Weibull3.7Warranty data with reporting delay3.8Prediction of future failures3.9Crow-AMSAA growth models3.10Practice: Weibull analysis of wheel bearing failures
4.1Reliability block diagrams4.2Fault tree and minimal cut sets4.3FMEA of braking and steering systems4.4Common cause failures4.5Markov chains for availability4.6Monte Carlo simulation4.7Hazard analysis and risk assessment4.8Safety mechanisms and diagnostic coverage4.9Embedded software reliability4.10Workshop: fault tree of ABS braking loss
5.1Design for maintainability5.2Accessibility and intervention times5.3Inherent and operational availability5.4Spare parts logistics and service level5.5Reliability-centred maintenance5.6Optimal preventive replacement intervals5.7On-board diagnostics and fault detection5.8Maintainability in rental fleets5.9Life cycle cost5.10Case study: availability of a police fleet
6.1Zero-failure demonstration plans6.2Accelerated testing: ALT and HALT6.3Arrhenius and inverse power models6.4Durability on bench and on track6.5Bench-to-field correlation6.6Vibration and component fatigue6.7Corrosion, humidity and environmental testing6.8Sample size and confidence level6.9Traction battery validation6.10Laboratory: accelerated test plan for a regulator
7.1Project RAMS plan7.2Reliability requirements for suppliers7.3Reliability-oriented design reviews7.4FRACAS failure management system7.5Reliability indicators in series production7.6Decision on safety campaigns7.7Communication with surveillance authorities7.8Lessons learned for new models7.9Integration with quality and warranty7.10Case study: FRACAS of a tilt sensor failure
8.1System selection and scope8.2Field data collection8.3Component life analysis8.4System reliability modelling8.5Availability assessment8.6Design improvement proposals8.7Validation plan8.8Residual risks and conclusions8.9Report and presentation8.10Final review with the tutor
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded lectures and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ReliaSoft Weibull++, ReliaSoft BlockSim, Isograph Reliability Workbench, Python (lifelines, reliability), in free, academic or evaluation versions. The case studies cover real procedures: Weibull analysis of wheel bearing failures from warranty data, fault tree of braking loss in an ABS system, and availability study of a police motorcycle fleet. 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.
Apply reliability, availability and maintainability models to two-wheeled vehicles.
Collect and cleanse field failure data.
Fit life distributions to censored data.
Build block diagrams and fault trees for critical systems.
Relate RAMS analysis to the functional safety requirements of motorcycles.
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 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 comprises 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You work with ReliaSoft Weibull++, ReliaSoft BlockSim, Isograph Reliability Workbench, Python (lifelines, reliability). 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 integrating project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the higher programme. Check the recognition policy when you enrol.
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