Master'sRegulation, Safety, RAMS & Homologation Applications open

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.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Understand the structure of NCAP programmes.

02

Manage rating programmes at a vehicle manufacturer.

03

Process test data in line with international standards.

04

Calculate and predict safety scores.

05

Analyse active and passive safety data.

06

Govern test data and its documentation.

07

Assess the business impact of ratings.

Profile

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.
Standards & tools

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
Syllabus

12 modules · 1900 h

  1. 1.1Origins of the NCAP programmes
  2. 1.2Euro NCAP, IIHS and NHTSA NCAP
  3. 1.3Structure of the ratings
  4. 1.4Consumer ratings versus type approval
  5. 1.5Influence on design and the market
  6. 1.6Funding and governance
  7. 1.7Global NCAP and emerging markets
  8. 1.8Evolution of the protocols
  9. 1.9Criticisms and limitations
  10. 1.10Case study: comparison of the ratings of one model
  1. 2.1Organisation of a rating programme at the manufacturer
  2. 2.2Roles and responsibilities
  3. 2.3Planning by platform
  4. 2.4Star targets by market
  5. 2.5Test budgets
  6. 2.6Prototype management
  7. 2.7Relationship with NCAP organisations
  8. 2.8Rating risk management
  9. 2.9Internal communication of results
  10. 2.10Workshop: rating plan for a platform
  1. 3.1Dummy instrumentation
  2. 3.2Data acquisition to SAE J211
  3. 3.3CFC channel filtering
  4. 3.4The ISO MME format
  5. 3.5Data quality
  6. 3.6High-speed video
  7. 3.7Channel synchronisation
  8. 3.8Storage and management
  9. 3.9Data security
  10. 3.10Lab: processing ISO MME data
  1. 4.1Injury metrics by body region
  2. 4.2Score interpolation
  3. 4.3Modifiers and penalties
  4. 4.4Calculation of assessment areas
  5. 4.5Overall weighting of areas
  6. 4.6Star thresholds
  7. 4.7Score sensitivity
  8. 4.8Calculation tools
  9. 4.9Validation of the calculation
  10. 4.10Practical exercise: calculating the adult occupant score
  1. 5.1Crash CAE models
  2. 5.2Virtual dummy models
  3. 5.3THUMS and GHBMC human body models
  4. 5.4ADAS simulation
  5. 5.5Test–simulation correlation
  6. 5.6Statistical prediction of scores
  7. 5.7Design of experiments
  8. 5.8Robustness and variability
  9. 5.9Virtual testing in Euro NCAP
  10. 5.10Case study: rating prediction with CAE
  1. 6.1ODB and MPDB frontal impact
  2. 6.2Full-width frontal impact
  3. 6.3Side and pole impact
  4. 6.4Whiplash test
  5. 6.5Adaptive restraint systems
  6. 6.6Occupant-to-occupant interaction
  7. 6.7Rear occupant protection
  8. 6.8Rescue and extrication
  9. 6.9The THOR dummy and its criteria
  10. 6.10Workshop: analysis of an MPDB test
  1. 7.1Pedestrian protection
  2. 7.2Head and leg impactors
  3. 7.3AEB for pedestrians and cyclists
  4. 7.4AEB for motorcycles
  5. 7.5Lane support
  6. 7.6Speed assistance
  7. 7.7Driver monitoring
  8. 7.8Test scenarios
  9. 7.9ADAS test data
  10. 7.10Practical exercise: AEB data analysis
  1. 8.1Accident databases
  2. 8.2Field data and effectiveness
  3. 8.3Injury analysis
  4. 8.4Correlation between ratings and accident rates
  5. 8.5Big data from connected vehicles
  6. 8.6Machine learning in safety
  7. 8.7Data visualisation
  8. 8.8Data quality
  9. 8.9Privacy of accident data
  10. 8.10Lab: AEB effectiveness analysis
  1. 9.1Data life-cycle management
  2. 9.2Test repositories
  3. 9.3Configuration traceability
  4. 9.4Documentation for NCAP organisations
  5. 9.5ADAS dossiers
  6. 9.6Data audits
  7. 9.7Data governance
  8. 9.8Integration with PLM systems
  9. 9.9Information security
  10. 9.10Workshop: structure of a test repository
  1. 10.1Ratings as a sales argument
  2. 10.2Cost per star
  3. 10.3Cost–benefit analysis
  4. 10.4Standard equipment
  5. 10.5Communicating results
  6. 10.6Crisis management after a poor result
  7. 10.7Media relations
  8. 10.8Ratings in fleets and companies
  9. 10.9Insurance and ratings
  10. 10.10Case study: commercial impact of a rating
  1. 11.1The Euro NCAP 2030 roadmap
  2. 11.2Automated driving requirements
  3. 11.3Cybersecurity and updates
  4. 11.4Post-crash safety
  5. 11.5Virtual testing and simulation
  6. 11.6Inclusion and occupant diversity
  7. 11.7Assessment of commercial vehicles
  8. 11.8Motorcycles and micromobility
  9. 11.9Sustainability and environmental footprint
  10. 11.10Practical exercise: analysis of the 2030 roadmap
  1. 12.1Selection of a vehicle or platform
  2. 12.2Diagnosis of the current rating
  3. 12.3Programme management plan
  4. 12.4Data strategy
  5. 12.5Prediction model
  6. 12.6Improvement plan
  7. 12.7Cost–benefit analysis
  8. 12.8Conclusions and future work
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

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.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the Euro NCAP assessment protocols, SAE J211-1 and ISO 13499 applied to real cases, not as a theoretical annex.
Industry software:LS-DYNA, DIAdem, Python, Tableau and Oasys PRIMER, in free, academic or evaluation versions.
Master's Thesis with defence:a complete safety rating strategy for a vehicle or platform, combining programme management, data strategy and score prediction, 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.

Rating plan
Draw up the rating plan for a vehicle platform.
Test data processing
Process crash test data in ISO MME format.
Score calculation
Calculate the adult occupant score from test results.
Rating prediction
Predict the rating of a vehicle using CAE simulation.
Master's Thesis
A complete safety rating strategy for a vehicle or platform, combining programme management, data strategy and score prediction, defended before a panel.
Career opportunities

Where this takes you

NCAP programme managerTest data engineerVehicle safety analystCrash CAE engineerADAS engineerSafety rating manager
Admissions & scholarships

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.

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 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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