Postgraduate DiplomaDefense, Military Engineering & Land Systems Applications open

Diploma in Validation and Verification of Critical Models

Online postgraduate diploma of 800 hours in validation and verification of critical models. 8 modules covering V&V concepts, code and solution verification, validation experiments, uncertainty quantification, validation metrics and model accreditation and credibility management, with an assigned technical tutor.

Duration800 hours · 6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Validation and Verification of Critical Models — studying from Australia

Defence is one of Australia's largest engineering employers, with major programmes in land systems, naval platforms, aircraft and integrated systems managed through the Department of Defence. Land systems engineering supports armoured vehicles, weapons and logistics equipment, often through prime contractors and local industry partners. Industry involvement is strongly encouraged through the Defence industry policy framework. Engineers work on sustainment, capability development, systems integration and safety assurance, typically in Canberra, Adelaide, Melbourne and regional defence precincts.

Fees for Australia: A$2,050 (AUD), with instalments and employer sponsorship available.

Relevant bodies in Australia

  • Department of Defence
  • Defence Science and Technology Group (DSTG)
  • Australian Defence Force (ADF)
  • Standards Australia

Typical roles

  • Defence Systems Engineer
  • Land Systems Engineer
  • Military Engineering Officer
  • Capability Sustainment Engineer

Questions from Australia

How does defence engineering recognition work in Australia?

Defence engineering in Australia is largely run through the Department of Defence and its industry partners, which set their own security clearance and qualification requirements. Engineers Australia is the professional body for accreditation. SEIUM's private qualifications are not accredited by these bodies, so recognition is for employers or the relevant body to decide.

Which Australian employers hire in defence and land systems?

Australia has defence prime contractors, the Department of Defence, and specialist land systems firms. Many of these roles require Australian security clearances, which depend on citizenship and background checks rather than course completion. Ask employers how they weigh private qualifications against experience and clearance requirements.

Is the course manageable with a job, and does it need a visa?

The programmes are 100% online and taught in English, so you can study from Australia without a student visa. Specialist courses take 300 hours, diplomas 800 and master's 1,900. An assigned technical tutor supports you, fees are payable in instalments, and employer sponsorship may be possible.

Virtual lab · try it before you enrol

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Run a real engineering trade-off from this field. 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

Distinguish verification, validation and accreditation conceptually and methodologically.

02

Apply code and solution verification techniques.

03

Design suitable validation experiments.

04

Quantify aleatory and epistemic uncertainties.

05

Use validation metrics and acceptance criteria.

06

Assess the credibility of models for critical decisions.

07

Document VV&A processes in line with international standards.

Profile

Who it's for

  • Verification and validation engineers.
  • Simulation engineers.
  • Uncertainty quantification analysts.
  • Scientific software quality managers.
  • Certification engineers.
  • Modelling consultants.
  • Engineering or science graduates looking to enter the defence sector.
Standards & tools

What you'll work with

  • ASME V&V 10 (verification and validation in computational solid mechanics)
  • ASME V&V 20 (verification and validation in computational fluid dynamics and heat transfer)
  • ASME V&V 40 (credibility of models for medical devices)
  • NASA-STD-7009A (models and simulations)
  • IEEE 1012 (system and software verification and validation)
  • DoDI 5000.61 (DoD modelling and simulation VV&A)
  • AIAA G-077-1998 (guide for V&V of CFD simulations)
  • MATLAB
  • Dakota
  • ANSYS
  • Python (SciPy, UQpy)
Syllabus

8 modules

  1. 1.1V&V and accreditation terminology
  2. 1.2Conceptual, mathematical and computational models
  3. 1.3Sources of error and uncertainty
  4. 1.4The validation hierarchy
  5. 1.5Model domain of application
  6. 1.6Credibility and decision risk
  7. 1.7ASME, NASA and DoD frameworks
  8. 1.8History of model-related failures
  9. 1.9Validation of system models
  10. 1.10Case study: analysis of a failure caused by an unvalidated model
  1. 2.1Testing of scientific software
  2. 2.2The method of manufactured solutions
  3. 2.3Observed order of accuracy
  4. 2.4Regression testing
  5. 2.5Version control and traceability
  6. 2.6Code review
  7. 2.7Software quality according to IEEE 1012
  8. 2.8Continuous integration
  9. 2.9Unit testing of numerical routines
  10. 2.10Lab: manufactured solutions in a solver
  1. 3.1Discretisation error
  2. 3.2Richardson extrapolation
  3. 3.3Grid convergence index
  4. 3.4Iterative error
  5. 3.5Round-off errors
  6. 3.6Mesh independence studies
  7. 3.7Mesh adaptation
  8. 3.8Verification report
  9. 3.9Errors in boundary conditions
  10. 3.10Practical exercise: mesh convergence study
  1. 4.1Design of validation experiments
  2. 4.2Collaboration between experimentalists and modellers
  3. 4.3Measured boundary conditions
  4. 4.4Measurement uncertainty according to the GUM
  5. 4.5Instrumentation and data acquisition
  6. 4.6Component and subsystem tests
  7. 4.7Validation databases
  8. 4.8Blind tests
  9. 4.9Scaled validation tests
  10. 4.10Case study: design of a validation test
  1. 5.1Aleatory and epistemic uncertainty
  2. 5.2Monte Carlo and Latin hypercube sampling
  3. 5.3Polynomial chaos expansion
  4. 5.4Global sensitivity analysis
  5. 5.5Bayesian calibration
  6. 5.6Surrogate models
  7. 5.7Uncertainty propagation with Dakota
  8. 5.8Probability boxes
  9. 5.9Design of numerical experiments
  10. 5.10Lab: uncertainty propagation in a model
  1. 6.1Graphical and quantitative comparison
  2. 6.2Area and discrepancy metrics
  3. 6.3Validation according to ASME V&V 20
  4. 6.4Tolerances and accuracy requirements
  5. 6.5Extrapolation beyond the validated domain
  6. 6.6Model form errors
  7. 6.7Adequacy decision
  8. 6.8Communication of results
  9. 6.9Validation of dynamic and time-dependent models
  10. 6.10Practical exercise: calculation of validation metrics
  1. 7.1Accreditation according to DoDI 5000.61
  2. 7.2NASA-STD-7009A credibility scale
  3. 7.3ASME V&V 40 risk framework
  4. 7.4Independent peer review
  5. 7.5Document management
  6. 7.6Model audits
  7. 7.7Models in product certification
  8. 7.8Governance of digital twins
  9. 7.9Reuse of accredited models
  10. 7.10Workshop: accreditation plan for a model
  1. 8.1Definition of the model and its intended use
  2. 8.2V&V plan
  3. 8.3Code and solution verification
  4. 8.4Validation experiment
  5. 8.5Uncertainty quantification
  6. 8.6Validation metrics
  7. 8.7Credibility assessment
  8. 8.8Accreditation recommendation
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online learning 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 MATLAB, Dakota, ANSYS and Python (SciPy, UQpy), in free, academic or evaluation versions. Practical work is based on real procedures: code verification using manufactured solutions, validation of a finite element model against a test and uncertainty quantification in a CFD simulation. Assessment is continuous by module plus the final project.

Standards covered: ASME V&V 10, ASME V&V 20, ASME V&V 40, NASA-STD-7009A, IEEE 1012, DoDI 5000.61, AIAA G-077-1998.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ASME V&V 10, ASME V&V 20 and NASA-STD-7009A applied to real cases, not as a theoretical annex.
Industry software:MATLAB, Dakota, ANSYS and Python (SciPy, UQpy), in free, academic or evaluation versions.
Final project:A full V&V project on a critical model, from V&V plan to credibility assessment and accreditation recommendation, reviewed by your tutor.
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.

Manufactured solutions test
Verify a solver with the method of manufactured solutions and observed order of accuracy.
Mesh convergence study
Carry out a mesh convergence study with Richardson extrapolation and GCI.
Uncertainty propagation
Propagate uncertainties through a model with Dakota and sensitivity analysis.
Model accreditation plan
Draw up an accreditation plan for a model following DoDI 5000.61 and NASA-STD-7009A.
Final project
Deliver the V&V of a critical model with validation metrics, credibility assessment and accreditation recommendation.
Career opportunities

Where this takes you

Verification and validation engineerSimulation engineerUncertainty quantification analystScientific software quality managerCertification engineerModelling consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An 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 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with MATLAB, Dakota, ANSYS and Python (SciPy, UQpy), 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), a computer able to run the 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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