Test Program & Correlation Engineering
About our Test Program & Correlation Engineering
Test Programs & Correlation Engineering (CFD↔tunnel↔track, DoE)
is essential for the validation and optimization of aerodynamic models in fixed-wing aviation and rotorcraft platforms. This discipline integrates advanced methods such as CFD, wind tunnel testing, and track testing, supported by statistical DoE (Design of Experiments) approaches to synchronize data and improve prediction fidelity in key areas such as aerodynamics, aeroelasticity, and dynamics/control. The work is supported by the implementation of technical standards and high-precision modeling, aligned with certification and verification processes under current regulatory frameworks, facilitating the transition between numerical simulations and actual experimental results to optimize performance and operational safety.
In the experimental domain, this program includes advanced HIL/SIL data acquisition capabilities, vibration and acoustic measurement, as well as electromagnetic interference management, ensuring traceability and compliance with applicable international regulations, including ARP4754A, ARP4761, and aeronautical regulations for certification. The training prepares specialized profiles such as validation engineers, CFD analysts, wind tunnel test technicians, aeronautical certification experts, and quality and safety managers, all essential in the development and approval cycle of complex aeronautical systems.
Test Program & Correlation Engineering
- Format:
- Duration:
- Time: 1900 H
- Practices: Consult
- Language:
- Credits:
- Registration date: 24-08-2026
- Start date: 18-10-2026
- Available places: 3
2,300 $
Skills and results
What you will learn
- Apply CFD optimization to improve hydrodynamic performance and reduce consumption, covering mesh and convergence, turbulence models (RANS/LES), optimization techniques, and surrogate models (ROM, Kriging) to accelerate DoE.
- Plan and execute wind tunnel and test track tests to validate and calibrate CFD, with instrumentation, data acquisition and processing, and CFD–experiment correlation applying DoE to define conditions and reduce uncertainties.
- Execute DoE to plan experiments and simulations, covering full factorial, fractional factorial, central composite designs (CCRD/Box–Behnken), response surfaces, and ANOVA, with integration of CFD and test results to estimate uncertainty and robustness.
2. CFD – Wind Tunnel – Track Analysis: Design and Experimental Correlation
- Analyze CFD, wind tunnel, and track data for aerodynamic design and experimental correlation, including meshes, turbulence models, and transient scenarios.
- Size and validate CFD discretization and boundary conditions, with calibration against wind tunnel and track data, and uncertainty evaluation.
- Implement correlation strategies between CFD and experiments for aerodynamic optimization and uncertainty reduction, using validation and fit metrics.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from model conception to final validation, applying user-centered methodologies. You will develop competencies in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions aligned with current industry standards.
4. CFD Engineering and Testing: Wind Tunnel, Track, and DoE Correlation
- Analyze the correlation between CFD, wind tunnel, and track test results to identify flap–lag–torsion couplings, whirl flutter, and fatigue using DoE.
- Size laminates in composites, joints, and bonded joints with FE.
- Implement damage tolerance and NDT (UT/RT/thermography) using a DoE plan for robustness verification.
5. Test Design: CFD, Wind Tunnel, Track, and DoE Correlation
- Analyze couplings between CFD, wind tunnel, and track with correlation DoE to optimize aerodynamic performance and noise under various conditions.
- Size models and instrumentation in CFD, wind tunnel, and track with DoE to ensure experimental coverage and prediction robustness.
- Implement damage tolerance and NDT (UT/RT/thermography) for the correlation between numerical results and experimental data.
6. CFD, Wind Tunnel, Track: Design of Experiments and Correlation (DoE)
6. CFD, Wind Tunnel, Track: Design of Experiments and Correlation (DoE)
- You will master the use of CFD (Computational Fluid Dynamics) software to simulate fluid flow in naval environments.
- You will apply Design of Experiments (DoE) techniques to optimize the performance and efficiency of naval prototypes, including the analysis of key variables.
- You will learn to perform correlation analysis between results from CFD simulations, wind tunnel tests, and track tests.
- You will understand fluid-structure interaction and its implications in the design of ships and submarines.
- You will optimize the design of hulls, propellers, and rudders to reduce resistance and improve maneuverability.
- You will use simulation tools to predict the behavior of naval structures under different operating conditions.
- You will analyze the stability and dynamic behavior of vessels, including the study of motions in waves.
- You will explore the use of wind tunnel data to validate and refine CFD models, ensuring simulation accuracy.
- You will develop skills in interpreting track test results, including identifying performance issues and evaluating solutions.
- You will apply the acquired knowledge to solve naval engineering problems, from initial design to performance optimization.
Who this program is for:
Test Program & Correlation Engineering
- Graduates in Aerospace Engineering, Mechanical, Industrial, Automation, or related fields.
- Professionals from rotorcraft/eVTOL OEMs, MRO, consulting, technology centers.
- Flight Test, certification, avionics, control, and dynamics professionals seeking specialization.
- Regulators/authorities and profiles in UAM/eVTOL requiring competencies in compliance.
Recommended requirements: background in aerodynamics, control, and structures; ES/EN B2+/C1. We offer bridging tracks if you need them.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the very first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor test bench, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
- Master’s thesis oriented to evidence: safety case, test plan, compliance dossier, and operational limits.
- Industry mentoring: instructors with experience in rotorcraft, tiltrotor, eVTOL/UAM, and flight test.
- Flexible modality (hybrid/online), international cohorts, and support from SEIUM Career Services.
- Ethics and safety: safety-by-design approach, cyber-OT, DIH, and compliance as pillars.
1.1 CFD for Naval Optimization: fundamentals of flow equations, discretization, and mesh verification for hull, propeller, and propulsion systems
1.2 DoE in CFD and testing: experimental planning, variable selection, levels and matrices, analysis of variance
1.3 CFD, Wind Tunnel, and Track Integration: experimental design and correlation between simulation and testing for model tests
1.4 Turbulence models for naval applications: RANS, k-ω SST, DES/LES, and selection criteria for hull and propulsion
1.5 CFD-test validation and correlation: test conditions, acceptance criteria, and error metrics
1.6 Hull and propulsion design optimization with CFD and DoE: drag, resistance, cavitation, and overall performance objectives
1.7 Sensitivity and uncertainty analysis in CFD: uncertainty propagation techniques and design robustness
1.8 Scale testing and scaling: similarity criteria, force and moment scaling, practical limits
1.9 CFD data management: geometry preprocessing, postprocessing, traceability, and MBSE/PLM
1.10 Case study: go/no-go with risk matrix, cost-benefit, and validation plan
2.1 CFD in naval engineering: fundamentals, objectives, and scalability for vessels and submarines
2.2 Design of Experiments (DoE) applied to CFD and testing: factorial, fractional, and optimization
2.3 CFD, wind tunnel, and track integration: correlation and validation strategies
2.4 Validation methodologies: comparison between CFD and wind tunnel/track experimental data
2.5 Naval geometry optimization: drag reduction, stability improvement, and performance
2.6 Uncertainty and robustness analysis in simulations and testing: techniques and metrics
2.7 Test planning: criteria, test configuration, replication, and quality controls
2.8 Sensitivity analysis and development of predictive models for naval design
2.9 Data management and traceability: MBSE/PLM in CFD and testing projects
2.10 Case study: full experimental design for a naval hull, CFD-test correlation, and go/no-go decision
3.1 CFD, Wind Tunnel and Track in Naval Engineering: Test Architecture and DoE
3.2 DoE applied to CFD, wind tunnel and track for vessels
3.3 CFD–tunnel–track correlation: statistical and validation approaches
3.4 Test planning: test conditions, scaling and replication
3.5 Geometry and test condition design: Reynolds, Froude and scaling
3.6 Data integration and traceability: MBSE/PLM for CFD and test results
3.7 Results analysis: ANOVA, regression and kriging for prediction
3.8 Uncertainty management and quality control in combined testing
3.9 Experiment optimization: DoE for robustness, efficiency and performance
3.10 Case clinic: go/no-go with risk matrix for CFD–tunnel–track projects
4.1 Naval CFD: fundamentals, equations and discretization for complex geometries
4.2 CFD, wind tunnel and track integration: experimental architecture and synergistic workflows
4.3 Experimental design for CFD and testing: DoE to optimize resources and minimize uncertainties
4.4 Variable design and control: boundary conditions, incompressibility, velocity profile and roughness
4.5 CFD–tunnel–track correlation: validation metrics, performance curves and acceptance criteria
4.6 Sensitivity and uncertainty analysis: quantification methods (ANOVA, Sobol, bootstrap)
4.7 DoE applied to hydroaerodynamics: factorial, fractional, Taguchi and response designs
4.8 Data management and traceability: MBSE/PLM, version control, repositories and review workflows
4.9 Practical cases: resistance, drag, seakeeping and operational stability
4.10 Implementation recommendations: validation roadmap, benchmarks and certification
5.1 Introduction to CFD and its application in naval engineering.
5.2 Fundamentals of CFD simulation: principles and equations.
5.3 Modeling the geometry of a vessel and its components.
5.4 Configuration of the computational mesh for CFD analysis.
5.5 Definition of boundary conditions and flow simulation.
5.6 Analysis of CFD results: data interpretation and visualization.
5.7 Introduction to wind tunnel testing: methodology and equipment.
5.8 Design and construction of scale models for wind tunnel tests.
5.9 Execution of wind tunnel tests: measurement and data recording.
5.10 Introduction to track testing: preparation and execution.
6.1 Introduction to CFD and its application in naval engineering.
6.2 Fundamentals of CFD simulation: principles and software.
6.3 Design of Experiments (DoE) for optimization and analysis.
6.4 Wind tunnel: principles, operation, and measurements.
6.5 Test track: performance and maneuverability testing.
6.6 Data correlation: CFD, wind tunnel, and test track.
6.7 Validation and verification of CFD models.
6.8 Naval design optimization using DoE and CFD.
6.9 Sensitivity analysis and design robustness.
6.10 Case studies: application of CFD, wind tunnel, and test track in naval design.
7.1 Introduction to CFD Optimization and Testing: Methodology and Objectives
7.2 Fundamentals of Computational Fluid Dynamics (CFD) for Naval Applications
7.3 The Wind Tunnel: Principles, Instrumentation, and Applications in Naval Design
7.4 The Test Track: Methodology, Testing, and Data Analysis
7.5 Design of Experiments (DoE) applied to CFD, wind tunnel, and track testing: Introduction
7.6 CFD Analysis: Model design and mesh configuration for wind tunnels and tracks
7.7 CFD Analysis: Results Interpretation and Validation
7.8 Experimental Design and Correlation: Strategies for data verification
7.9 Data Integration: Correlation between CFD, Wind Tunnel, and Track
7.10 Case Studies: Application of the methodology in naval projects
8.1 Fundamentals of CFD in Naval Engineering: Theory and applications.
8.2 Introduction to Wind Tunnel Testing: Methodology and setup.
8.3 Experimental Design (DoE) in Naval Context: Key concepts and applications.
8.4 CFD Optimization for Naval Design: Workflows and techniques.
8.5 CFD and Test Data Correlation: Methodology and analysis.
8.6 Track Measurement Techniques: Specific naval applications.
8.7 DoE Application in CFD and Testing: Design optimization.
8.8 Results Analysis and Conclusions: Technical reports and recommendations.
8.9 Tool Integration: CFD software and data analysis.
8.10 Case Studies: Practical applications and results.
9.1 CFD Optimization and Testing: Wind Tunnel, Track, and Design of Experiments (DoE)
9.2 CFD – Wind Tunnel – Track Analysis: Experimental Design and Correlation
9.3 CFD, Wind Tunnel, and Track Integration: Correlation and DoE for Testing
9.4 CFD Engineering and Testing: Wind Tunnel, Track, and DoE Correlation
9.5 Test Design: CFD, Wind Tunnel, Track, and DoE Correlation
9.6 CFD, Wind Tunnel, Track: Design of Experiments and Correlation (DoE)
9.7 CFD, Wind Tunnel, Track: Testing, Correlation, and DoE
9.8 CFD, Wind Tunnel, Track Integration: Correlation and Experimental Optimization
10.1 CFD Optimization and Testing: Fundamentals and Methodology
10.2 Introduction to Design of Experiments (DoE): Principles and Applications
10.3 CFD Simulation: Flow around Naval Objects
10.4 Wind Tunnel Testing: Techniques and Measurements
10.5 Track Testing: Test Design and Analysis
10.6 CFD and Testing Correlation: Methodologies and Tools
10.7 Design of Experiments (DoE) for CFD and Testing: Practical Applications
10.8 Data Analysis: Statistical Techniques and Visualization
10.9 Multidisciplinary Optimization: CFD, Wind Tunnel, Track, and DoE
10.10 Case Studies: Real Applications in Naval Engineering
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (according to licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, DO-178C planning toolchains.
- SEIUM Laboratories: scale rotor test bench, vibration/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and information retrieval systems is valued.
- Documentation: Updated CV, academic transcripts, SOP/purpose essay, project or code samples (optional).
- Process: application → technical profile and experience evaluation → technical interview → practical case review → final decision → enrollment.
- Fees:
- Single payment: 10% discount.
- 3-installment payment: no fees; 30% upon enrollment + 2 equal monthly payments of the remaining 35%.
- Monthly payment: available with a 7% fee on the total; annual review.
- Scholarships: based on academic merit, financial situation, and promotion of inclusion; agreements with industry companies for partial or full scholarships.
Check “Calendar & calls”, “Scholarships & financial aid”, and “Fees & financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us and we’ll get back to you as soon as possible.
F. A. Q
Frequently Asked Questions
Yes, we hold international certification.
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortia.