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Master'sDefense, Military Engineering & Land Systems Applications open

Master’s in PLM/MBSE and Digital Thread in Defence Engineering

Online master's programme of 1,900 hours in PLM/MBSE and digital thread engineering in defence. 12 modules covering digital transformation, model-based systems engineering, architecture frameworks, PLM, data exchange standards, the digital thread, digital twins, integrated simulation, information security, change management and AI, 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

Analyse the digital transformation of defence engineering.

02

Apply MBSE with SysML and structured methodologies.

03

Use architecture frameworks such as NAF.

04

Manage the product life cycle with PLM.

05

Build digital threads using data exchange standards.

06

Develop digital twins and integrated simulation.

07

Protect technical information and manage organisational change.

Profile

Who it's for

  • MBSE engineers
  • Digital thread architects
  • PLM administrators
  • Digital twin engineers
  • Configuration managers
  • Digital transformation consultants
  • Engineering or science graduates aiming to enter the defence industry
Standards & tools

What you'll work with

  • ISO/IEC/IEEE 15288 (system life cycle processes)
  • ISO 10303-242 (managed model-based 3D engineering (STEP AP242))
  • ISO 10303-239 (product life cycle support (PLCS))
  • OMG SysML (Systems Modeling Language)
  • NATO Architecture Framework (NAF) v4 (enterprise architecture for defence capabilities)
  • ISO 10007:2017 (guidelines for configuration management)
  • NIST SP 800-171 (protection of controlled unclassified information)
  • Modelica Association FMI (Functional Mock-up Interface)
  • Cameo Systems Modeler
  • Capella
  • Siemens Teamcenter
  • PTC Windchill
  • Dassault 3DEXPERIENCE
Syllabus

12 modules · 1900 h

  1. 1.1From document to model
  2. 1.2The digital thread concept
  3. 1.3The digital twin concept
  4. 1.4Digital engineering strategies
  5. 1.5Benefits and challenges
  6. 1.6Life cycle of complex programmes
  7. 1.7Interoperability between organisations
  8. 1.8Legal, security and ethical framework
  9. 1.9Digital engineering maturity
  10. 1.10Case study: digital maturity diagnosis of an organisation
  1. 2.1MBSE principles
  2. 2.2SysML v1 and v2 language
  3. 2.3Methodologies: Arcadia, OOSEM and MagicGrid
  4. 2.4Requirements modelling
  5. 2.5Functional and logical architecture
  6. 2.6Physical architecture
  7. 2.7Parametric analysis
  8. 2.8Model simulation
  9. 2.9Model-based verification
  10. 2.10Lab: SysML model of a generic system
  1. 3.1Enterprise architecture frameworks
  2. 3.2NATO Architecture Framework
  3. 3.3DoDAF and MODAF
  4. 3.4Views and viewpoints
  5. 3.5Capability models
  6. 3.6Reference architectures
  7. 3.7Architecture governance
  8. 3.8Tools
  9. 3.9Integration with MBSE
  10. 3.10Practical: NAF views of a generic capability
  1. 4.1PLM concepts
  2. 4.2Product structures
  3. 4.3Engineering, manufacturing and service bills of materials
  4. 4.4Change management
  5. 4.5ISO 10007 configuration management
  6. 4.6Document management
  7. 4.7Workflows
  8. 4.8CAD-PLM integration
  9. 4.9Supplier management in PLM
  10. 4.10Case study: engineering change workflow in PLM
  1. 5.1ISO 10303 STEP
  2. 5.2AP242 for design data
  3. 5.3AP239 PLCS for product support
  4. 5.4ASD S-Series specifications
  5. 5.5SysML model exchange
  6. 5.6ReqIF for requirements
  7. 5.7OSLC for tool integration
  8. 5.8FMI simulation formats
  9. 5.9Exchange data quality
  10. 5.10Lab: exchanging a model in STEP AP242
  1. 6.1Digital thread architecture
  2. 6.2Requirements-design-manufacturing-service traceability
  3. 6.3Integration of engineering tools
  4. 6.4Engineering data platforms
  5. 6.5Ontologies and knowledge graphs
  6. 6.6Technical data governance
  7. 6.7Change impact analysis
  8. 6.8Digital thread in manufacturing
  9. 6.9Digital thread in sustainment
  10. 6.10Practical: traceability graph of a subsystem
  1. 7.1Types of digital twin
  2. 7.2Physics-based and data-driven models
  3. 7.3Synchronisation with the asset
  4. 7.4Product, process and system twins
  5. 7.5Digital twin in maintenance
  6. 7.6Simulation and validation
  7. 7.7Digital twin platforms
  8. 7.8Uncertainty and trust
  9. 7.9Defence use cases from open sources
  10. 7.10Case study: digital twin of a subsystem for predictive maintenance
  1. 8.1Co-simulation with FMI
  2. 8.2Multidisciplinary simulation
  3. 8.3Multidisciplinary optimisation
  4. 8.4Simulation data management
  5. 8.5Model verification and validation
  6. 8.6Credibility of models and simulations
  7. 8.7HLA distributed simulation
  8. 8.8Synthetic environments
  9. 8.9High-performance computing
  10. 8.10Lab: co-simulation with FMUs
  1. 9.1Classification of technical information
  2. 9.2Secure collaborative environments
  3. 9.3Attribute-based access control
  4. 9.4Protection of controlled data
  5. 9.5NIST SP 800-171 requirements
  6. 9.6Export control of technical data
  7. 9.7Cybersecurity of engineering tools
  8. 9.8Cloud security
  9. 9.9Access auditing and traceability
  10. 9.10Workshop: access control model for a collaborative environment
  1. 10.1Digital engineering strategy
  2. 10.2Implementation roadmaps
  3. 10.3Cultural change management
  4. 10.4Competences of the digital engineer
  5. 10.5Training
  6. 10.6Measuring value
  7. 10.7Contracting with digital deliverables
  8. 10.8Collaboration with suppliers
  9. 10.9Lessons from programmes
  10. 10.10Practical: MBSE implementation roadmap
  1. 11.1AI in requirements engineering
  2. 11.2Generative AI in design
  3. 11.3AI-assisted verification
  4. 11.4Engineering data analytics
  5. 11.5AI risks and governance
  6. 11.6Human oversight
  7. 11.7SysML v2 and APIs
  8. 11.8Digital engineering trends
  9. 11.9Professional ethics
  10. 11.10Case study: AI-assisted requirements analysis
  1. 12.1Selection of the system or process
  2. 12.2Digital diagnosis
  3. 12.3MBSE model
  4. 12.4Digital thread architecture
  5. 12.5Integration prototype
  6. 12.6Information security plan
  7. 12.7Implementation plan
  8. 12.8Conclusions
  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 you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Cameo Systems Modeler, Capella, Siemens Teamcenter, PTC Windchill and Dassault 3DEXPERIENCE, in free, academic or evaluation versions. Testing is studied through real procedures for MBSE modelling of complex systems, implementing change workflows in PLM and integrating tools into a digital thread. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO/IEC/IEEE 15288; ISO 10303-242; ISO 10303-239; OMG SysML; NATO Architecture Framework (NAF) v4; ISO 10007:2017; NIST SP 800-171; Modelica Association FMI.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO/IEC/IEEE 15288, STEP AP242 and STEP AP239 (PLCS) applied to real cases, not as a theoretical annex.
Industry software:Cameo Systems Modeler, Capella, Siemens Teamcenter, PTC Windchill and Dassault 3DEXPERIENCE, in free, academic or evaluation versions.
Master's Thesis with defence:An MBSE model, digital thread architecture and implementation plan for a system or process, 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.

Digital diagnosis
Assess the digital maturity of the selected system, process or organisation.
MBSE model
Build a SysML model with requirements, functional and physical architecture.
Digital thread architecture
Design the traceability graph and data exchange with STEP and FMI.
Security and roadmap
Define the access control model and the implementation roadmap.
Master's Thesis
A complete digital engineering solution with an integration prototype, defended before a panel.
Career opportunities

Where this takes you

MBSE engineerDigital thread architectPLM administratorDigital twin engineerConfiguration managerDigital transformation consultant
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • 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.

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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 Cameo Systems Modeler, Capella, Siemens Teamcenter, PTC Windchill and Dassault 3DEXPERIENCE, 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), 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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