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Master'sAutomotive & Motorsport Applications open

Master’s in Test & Correlation Programmes Engineering

Online master's programme of 1,900 hours in test programme and correlation engineering, structured in 12 modules covering test planning, design of experiments, vehicle instrumentation, data processing, aerodynamic and vehicle dynamics correlation, rig testing and uncertainty, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.

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Learning outcomes

What you will be able to do

01

Plan test programmes aligned with development objectives.

02

Design efficient experiments with limited track time.

03

Instrument vehicles and benches with suitable sensors.

04

Correlate results from simulation, wind tunnel, rig and track.

05

Quantify the uncertainty and repeatability of tests.

06

Document findings and turn them into engineering decisions.

07

Develop a test and correlation programme for a racing vehicle.

Profile

Who it's for

  • Test programme engineers planning track, tunnel and rig work.
  • Correlation engineers reconciling simulation with measured data.
  • Instrumentation engineers specifying and calibrating sensors.
  • Track test coordinators running private and pre-season tests.
  • Performance engineers who turn test data into set-up decisions.
  • Test bench engineers working with rigs and dynamometers.
  • Engineering or science graduates aiming to join racing teams.
Standards & tools

What you'll work with

  • ISO/IEC 17025 (competence of testing and calibration laboratories)
  • ISO 5725-2 (repeatability and reproducibility of measurement methods)
  • ISO 8855 (vehicle dynamics vocabulary and axis systems)
  • ISO 4138 (steady-state circular driving test)
  • ASAM MDF 4.x (measurement data file format)
  • JCGM 100:2008 (GUM) (guide to the expression of uncertainty in measurement)
  • SAE J2071 (aerodynamic testing of road vehicles in open-jet wind tunnels)
  • FIA Formula One Technical Regulations (technical rules for F1 cars)
  • MoTeC i2 Pro
  • MATLAB
  • Python with pandas
  • ANSYS Fluent
  • Pi Toolbox
Syllabus

12 modules · 1900 h

  1. 1.1Development cycle of a racing car
  2. 1.2Types of test: track, wind tunnel, rig and bench
  3. 1.3Regulatory restrictions on testing
  4. 1.4Measurable objectives per session
  5. 1.5Cost per hour of each test facility
  6. 1.6Coordination between departments
  7. 1.7Risk management in testing
  8. 1.8Logistics of a private test
  9. 1.9Planning tools
  10. 1.10Case study: pre-season programme
  1. 2.1Full and fractional factorials
  2. 2.2Screening designs
  3. 2.3Randomisation and blocking
  4. 2.4Effects of track evolution
  5. 2.5Replicates and control points
  6. 2.6Response surfaces
  7. 2.7Analysis of variance of results
  8. 2.8Sequential experimental designs
  9. 2.9Experiments with the driver as a factor
  10. 2.10Workshop: set-up experiment plan
  1. 3.1Displacement sensors and strain gauges
  2. 3.2Accelerometers and gyroscopes
  3. 3.3Aerodynamic pressure sensors
  4. 3.4Total pressure rakes
  5. 3.5Laser ride-height sensors
  6. 3.6Infrared tyre temperature
  7. 3.7Wheel force measurement
  8. 3.8Test harnesses and data acquisition
  9. 3.9Sensor calibration
  10. 3.10Lab: calibrating a strain gauge on a pushrod
  1. 4.1Sampling rates and aliasing
  2. 4.2Digital signal filtering
  3. 4.3Synchronising sources
  4. 4.4Detecting erroneous data
  5. 4.5Derived maths channels
  6. 4.6Segmentation by lap and sector
  7. 4.7Normalisation for ambient conditions
  8. 4.8Repeatability and measurement noise
  9. 4.9Test databases
  10. 4.10Practical: cleaning test data
  1. 5.1From CFD to the wind tunnel
  2. 5.2Scaling and Reynolds number
  3. 5.3Moving ground and wheel effects
  4. 5.4Measuring loads on track
  5. 5.5Coast-down and constant-speed tests
  6. 5.6Ride-height maps
  7. 5.7Typical discrepancies and their causes
  8. 5.8Flow-vis and flow visualisation
  9. 5.9Correction factors
  10. 5.10Case study: correlation of a floor
  1. 6.1Seven-post rig
  2. 6.2Kinematics and compliance rig
  3. 6.3Engine and transmission benches
  4. 6.4Reproducing track loads
  5. 6.5Damper testing on a dynamometer
  6. 6.6Torsional stiffness testing
  7. 6.7Brake benches
  8. 6.8Hardware in the loop
  9. 6.9Correlation between rig and track
  10. 6.10Lab: track replay on a rig
  1. 7.1Comparing simulated and measured channels
  2. 7.2Tuning suspension parameters
  3. 7.3Tyre correlation
  4. 7.4Load transfer correlation
  5. 7.5Using the DiL simulator
  6. 7.6Validating driver models
  7. 7.7Correlation metrics
  8. 7.8Model version management
  9. 7.9Feedback to design
  10. 7.10Practical: correlation of a slow corner
  1. 8.1Test uncertainty according to the GUM
  2. 8.2Repeatability and reproducibility
  3. 8.3Precision according to ISO 5725
  4. 8.4Propagation of uncertainties
  5. 8.5Model verification and validation
  6. 8.6ASME V&V validation metric
  7. 8.7Decision thresholds
  8. 8.8Communicating uncertainty
  9. 8.9Reliability of conclusions
  10. 8.10Workshop: uncertainty of a load test
  1. 9.1Preparing the test car
  2. 9.2Lap planning and run plans
  3. 9.3Configuration change protocols
  4. 9.4Monitoring track conditions
  5. 9.5Driver feedback
  6. 9.6Analysis between runs
  7. 9.7Real-time decision-making
  8. 9.8Safety in testing
  9. 9.9Documenting the day
  10. 9.10Case study: aerodynamic test day
  1. 10.1Technical test reports
  2. 10.2Lessons-learned databases
  3. 10.3Traceability of decisions
  4. 10.4Tracking dashboards
  5. 10.5Communication to technical management
  6. 10.6Intellectual property of data
  7. 10.7Transfer between seasons
  8. 10.8Training new engineers
  9. 10.9Improving the test process
  10. 10.10Practical: report on a test
  1. 11.1Quality according to ISO/IEC 17025
  2. 11.2Bench maintenance
  3. 11.3Instrumentation calibration
  4. 11.4Capacity planning
  5. 11.5Safety on high-energy benches
  6. 11.6Test service suppliers
  7. 11.7Costs and budget limits
  8. 11.8Investment in new facilities
  9. 11.9Laboratory indicators
  10. 11.10Case study: annual test facilities plan
  1. 12.1Defining the development objective
  2. 12.2Designing the test programme
  3. 12.3Instrumentation plan
  4. 12.4Design of experiments
  5. 12.5Data acquisition or simulation
  6. 12.6Analysis and correlation
  7. 12.7Uncertainty assessment
  8. 12.8Engineering recommendations
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

The programme is delivered 100% online 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 it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MoTeC i2 Pro, MATLAB, Python with pandas, ANSYS Fluent and Pi Toolbox, in free, academic or evaluation versions. Exercises are based on real procedures: a pre-season test plan with objectives per session, correlation of aerodynamic loads between wind tunnel, CFD and track, and a suspension rig test compared with circuit data. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO/IEC 17025, ISO 5725-2, ISO 8855, ISO 4138, ASAM MDF 4.x, JCGM 100:2008 (GUM), SAE J2071, FIA Formula One Technical Regulations.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO/IEC 17025, ISO 5725-2 and ISO 8855 applied to real cases, not as a theoretical annex.
Industry software:MoTeC i2 Pro, MATLAB, Python with pandas, ANSYS Fluent and Pi Toolbox, in free, academic or evaluation versions.
Master's Thesis with defence:A complete test and correlation programme for a racing vehicle, 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.

Development objective
Define the development objective and design the test programme that addresses it.
Instrumentation and experiments
Draw up the instrumentation plan and the design of experiments.
Data acquisition
Acquire or simulate the test data under controlled conditions.
Correlation and uncertainty
Analyse and correlate the results, assess their uncertainty and issue engineering recommendations.
Master's Thesis
Present the complete test and correlation programme in the thesis report, defended before a panel.
Career opportunities

Where this takes you

Test programme engineerCorrelation engineerInstrumentation engineerTrack test coordinatorPerformance engineerTest bench engineer
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer able to run the programme's 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.

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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 MoTeC i2 Pro, MATLAB, Python with pandas, ANSYS Fluent and Pi Toolbox, 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 degree in engineering, science or architecture (or equivalent professional experience), a suitable computer and internet connection, 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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