Master’s in Management Engineering, Data and Rating
Online master's programme of 1,900 hours in management, data and rating engineering for vehicle safety. 12 modules covering NCAP programmes, rating programme management, test data acquisition, score calculation, simulation-based prediction, occupant and vulnerable road user protection, safety analytics and the business of ratings, with an assigned technical tutor.
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
Understand the structure of NCAP programmes.
Manage rating programmes at a vehicle manufacturer.
Process test data in line with international standards.
Calculate and predict safety scores.
Analyse active and passive safety data.
Govern test data and its documentation.
Assess the business impact of ratings.
Who it's for
- NCAP programme managers responsible for star targets across vehicle platforms.
- Test data engineers working with crash and ADAS test data.
- Vehicle safety analysts studying field and accident data.
- Crash CAE engineers predicting ratings through simulation.
- ADAS engineers preparing active safety assessments.
- Safety rating managers coordinating with NCAP organisations.
- Engineering or science graduates looking to move into the automotive sector.
What you'll work with
- Euro NCAP assessment protocols (European consumer safety rating)
- SAE J211-1 (instrumentation for impact tests)
- ISO 13499 (digital exchange format for impact test data (MME))
- UN Regulation No. 94 (frontal collision occupant protection)
- UN Regulation No. 95 (lateral collision occupant protection)
- ISO 6487 (measurement techniques in impact tests)
- FMVSS 208 (US occupant crash protection)
- UN Regulation No. 127 (pedestrian safety performance)
- LS-DYNA
- DIAdem
- Python
- Tableau
- Oasys PRIMER
12 modules · 1900 h
1.1Origins of the NCAP programmes1.2Euro NCAP, IIHS and NHTSA NCAP1.3Structure of the ratings1.4Consumer ratings versus type approval1.5Influence on design and the market1.6Funding and governance1.7Global NCAP and emerging markets1.8Evolution of the protocols1.9Criticisms and limitations1.10Case study: comparison of the ratings of one model
2.1Organisation of a rating programme at the manufacturer2.2Roles and responsibilities2.3Planning by platform2.4Star targets by market2.5Test budgets2.6Prototype management2.7Relationship with NCAP organisations2.8Rating risk management2.9Internal communication of results2.10Workshop: rating plan for a platform
3.1Dummy instrumentation3.2Data acquisition to SAE J2113.3CFC channel filtering3.4The ISO MME format3.5Data quality3.6High-speed video3.7Channel synchronisation3.8Storage and management3.9Data security3.10Lab: processing ISO MME data
4.1Injury metrics by body region4.2Score interpolation4.3Modifiers and penalties4.4Calculation of assessment areas4.5Overall weighting of areas4.6Star thresholds4.7Score sensitivity4.8Calculation tools4.9Validation of the calculation4.10Practical exercise: calculating the adult occupant score
5.1Crash CAE models5.2Virtual dummy models5.3THUMS and GHBMC human body models5.4ADAS simulation5.5Test–simulation correlation5.6Statistical prediction of scores5.7Design of experiments5.8Robustness and variability5.9Virtual testing in Euro NCAP5.10Case study: rating prediction with CAE
6.1ODB and MPDB frontal impact6.2Full-width frontal impact6.3Side and pole impact6.4Whiplash test6.5Adaptive restraint systems6.6Occupant-to-occupant interaction6.7Rear occupant protection6.8Rescue and extrication6.9The THOR dummy and its criteria6.10Workshop: analysis of an MPDB test
7.1Pedestrian protection7.2Head and leg impactors7.3AEB for pedestrians and cyclists7.4AEB for motorcycles7.5Lane support7.6Speed assistance7.7Driver monitoring7.8Test scenarios7.9ADAS test data7.10Practical exercise: AEB data analysis
8.1Accident databases8.2Field data and effectiveness8.3Injury analysis8.4Correlation between ratings and accident rates8.5Big data from connected vehicles8.6Machine learning in safety8.7Data visualisation8.8Data quality8.9Privacy of accident data8.10Lab: AEB effectiveness analysis
9.1Data life-cycle management9.2Test repositories9.3Configuration traceability9.4Documentation for NCAP organisations9.5ADAS dossiers9.6Data audits9.7Data governance9.8Integration with PLM systems9.9Information security9.10Workshop: structure of a test repository
10.1Ratings as a sales argument10.2Cost per star10.3Cost–benefit analysis10.4Standard equipment10.5Communicating results10.6Crisis management after a poor result10.7Media relations10.8Ratings in fleets and companies10.9Insurance and ratings10.10Case study: commercial impact of a rating
11.1The Euro NCAP 2030 roadmap11.2Automated driving requirements11.3Cybersecurity and updates11.4Post-crash safety11.5Virtual testing and simulation11.6Inclusion and occupant diversity11.7Assessment of commercial vehicles11.8Motorcycles and micromobility11.9Sustainability and environmental footprint11.10Practical exercise: analysis of the 2030 roadmap
12.1Selection of a vehicle or platform12.2Diagnosis of the current rating12.3Programme management plan12.4Data strategy12.5Prediction model12.6Improvement plan12.7Cost–benefit analysis12.8Conclusions and future work12.9Master's Thesis report12.10Master's Thesis: defence before a panel
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 each intake, so the programme fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is LS-DYNA, DIAdem, Python, Tableau and Oasys PRIMER, in free, academic or evaluation versions. Testing is studied through real procedures for processing crash test data, predicting ratings with simulation and analysing the effectiveness of ADAS systems. Assessment is continuous, module by module, plus the final Master's Thesis.
Standards covered: Euro NCAP assessment protocols, SAE J211-1, ISO 13499, UN Regulation No. 94, UN Regulation No. 95, ISO 6487, FMVSS 208, UN Regulation No. 127.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- 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.
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 LS-DYNA, DIAdem, Python, Tableau and Oasys PRIMER, 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, plus 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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