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Postgraduate DiplomaNaval, Offshore & Sports Nautical Enrolment open

Postgraduate Diploma in CFD↔Track Correlation and QA Toolchains

Online 800-hour Postgraduate Diploma in CFD↔Track Correlation and QA Toolchains. 8 modules covering ASME V&V 20, AIAA G-077 and STAR-CCM+. Assigned tutor and open enrolment.

Duration800 h
ModeHybrid
LanguageEnglish / Spanish
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Identify aerodynamic data sources and their limitations.

02

Apply correlation methodologies between CFD and track.

03

Plan track tests focused on aerodynamics.

04

Manage discrepancies through root cause analysis.

05

Build automated simulation toolchains.

06

Implement quality assurance processes.

07

Drive continuous improvement of the correlation process.

Profile

Who it's for

  • Aerodynamic correlation engineer who wants to specialise in CFD↔Track Correlation and QA Toolchains.
  • CFD engineer who wants to specialise in CFD↔Track Correlation and QA Toolchains.
  • Methods engineer who wants to specialise in CFD↔Track Correlation and QA Toolchains.
  • Software quality engineer who wants to specialise in CFD↔Track Correlation and QA Toolchains.
  • Track test engineer who wants to specialise in CFD↔Track Correlation and QA Toolchains.
  • Simulation toolchain manager who wants to specialise in CFD↔Track Correlation and QA Toolchains.
  • Engineering or science graduates looking to enter motorsport.
Standards & tools

What you'll work with

  • ASME V&V 20
  • AIAA G-077
  • ISO/IEC 17025
  • ISO 9001:2015
  • FIA Formula 1 Sporting Regulations
  • SAE J1594
  • ISO/IEC Guide 98-3
Syllabus

8 modules · 800 h

  1. 1.1CFD, wind tunnel and track
  2. 1.2Scale and Reynolds differences
  3. 1.3Track sensor rake
  4. 1.4Onboard pressure sensors
  5. 1.5Laser ride height measurement
  6. 1.6Push-rod loads as a load measurement
  7. 1.7Estimating aerodynamic load on track
  8. 1.8Aero maps by ride height
  9. 1.9Coast-down and straight-line tests
  10. 1.10Case study: load estimation with push-rods
  1. 2.1Definition of comparable metrics
  2. 2.2Common reference conditions
  3. 2.3Treatment of systematic errors
  4. 2.4Corrections for temperature and density
  5. 2.5Aero balance correlation
  6. 2.6Sensitivity correlation
  7. 2.7Correlation factors by component
  8. 2.8Historical correlation tracking
  9. 2.9Communicating results to the team
  10. 2.10Practice: calculating CFD-track correlation factors
  1. 3.1Constant-speed straight-line tests
  2. 3.2Ride height sweeps on track
  3. 3.3Flow-vis paint on track
  4. 3.4Total pressure rakes
  5. 3.5Yaw tests
  6. 3.6Planning under test restrictions
  7. 3.7Quality and repeatability
  8. 3.8Influence of ambient wind
  9. 3.9Test data processing
  10. 3.10Laboratory: processing a straight-line test
  1. 4.1Sources of error in CFD
  2. 4.2Sources of error in the wind tunnel
  3. 4.3Deformed wheel effects
  4. 4.4Component flexibility
  5. 4.5Real geometry differences
  6. 4.6Instrumentation errors
  7. 4.7Root cause analysis
  8. 4.8Action plans
  9. 4.9Known cases of poor correlation
  10. 4.10Case study: analysis of a balance discrepancy
  1. 5.1CAD, meshing, solver and post-processing chain
  2. 5.2Automation with scripts
  3. 5.3Geometry version management
  4. 5.4Simulation templates
  5. 5.5HPC resource management
  6. 5.6Results databases
  7. 5.7Integration with track tools
  8. 5.8Modelling standards
  9. 5.9Process documentation
  10. 5.10Workshop: automating a CFD case with Python
  1. 6.1Solver and code verification
  2. 6.2Model validation
  3. 6.3Mesh independence studies
  4. 6.4Convergence criteria
  5. 6.5Process audits
  6. 6.6Toolchain regression tests
  7. 6.7Change control
  8. 6.8Quality metrics
  9. 6.9Non-conformity management
  10. 6.10Practice: solver regression test
  1. 7.1Feedback from track to CFD
  2. 7.2Updating turbulence models
  3. 7.3Improvements to boundary conditions
  4. 7.4Benchmarking new methods
  5. 7.5Team training
  6. 7.6Knowledge management
  7. 7.7Process indicators
  8. 7.8Regulatory resource restrictions
  9. 7.9Improvement planning
  10. 7.10Case study: annual correlation improvement plan
  1. 8.1Component definition
  2. 8.2Track data
  3. 8.3CFD simulation of the component
  4. 8.4Correlation factors
  5. 8.5Discrepancy analysis
  6. 8.6Toolchain improvement
  7. 8.7QA plan
  8. 8.8Writing the technical report
  9. 8.9Dissertation and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, making it possible to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is STAR-CCM+, ANSA, Python, Git, McLaren ATLAS, in free, academic or evaluation versions. Tests are studied using real straight-line aerodynamic test procedures, CFD-track correlation campaigns and quality audits of simulation processes. Assessment is continuous by module, plus the final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with a rotor rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-focused thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with track record in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as core pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Component definition

Identify aerodynamic data sources and their limitations.

Track data

Apply correlation methodologies between CFD and track.

CFD simulation of the component

Plan track tests focused on aerodynamics.

Correlation factors

Manage discrepancies through root cause analysis.

Discrepancy analysis

Build automated simulation toolchains.

Career opportunities

Where this takes you

Aerodynamic correlation engineerCFD engineerMethods engineerSoftware quality engineerTrack test engineerSimulation toolchain manager
Admissions & scholarships

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 technical regulatory reading.

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 800 hours spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

You will work with STAR-CCM+, ANSA, Python, Git, McLaren ATLAS. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

SEIUM's own diploma upon passing continuous assessment and the integrating project. This 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 advanced programme. Check the recognition policy when you enrol.

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