Diploma in Digital Twins in Defence
Online postgraduate diploma of 800 hours in digital twins in defence. 8 modules covering the digital twin concept, physics-based modelling, data and connectivity, data-driven models, life-cycle applications, visualisation and interaction, and governance, security and ethics, applied to ISO 23247, IEC 62541 (OPC UA) and FMI 3.0, with an assigned technical tutor.
Diploma in Digital Twins in Defence — studying from Canada
Canada's defence sector is centred on procurement and sustainment through the Department of National Defence and Defence Research and Development Canada. Industrial activity spans land vehicles, naval systems, avionics and electronics, with firms in Ontario, Québec, Nova Scotia and British Columbia. Companies such as General Dynamics Land Systems Canada and Lockheed Martin Canada are notable employers, alongside a broad base of small and medium suppliers. Engineers work on systems integration, vehicle protection, logistics and sustainment, operating within strict security and export control frameworks.
Fees for Canada: C$1,400 (Canadian dollar), with instalments and employer sponsorship available.
Relevant bodies in Canada
Typical roles
Questions from Canada
Which Canadian bodies or processes govern defence engineering recognition?
Defence engineering in Canada often involves government procurement and security clearances, and engineers typically hold provincial Professional Engineer licences where a title is required. SEIUM's qualifications are private and not official state degrees or accredited by a national body, so they do not confer licensing or clearance. Recognition is for employers or the relevant body to decide, so verify this first.
Would Canadian defence or land systems employers accept this training?
Canadian defence employers and contractors generally rely on security clearance, licensing and demonstrated experience. A private qualification may support your application, but it is unlikely to replace those requirements, and its acceptance is up to each employer. A SEIUM final project can help show applied skill, so discuss expectations with prospective employers early.
Can I study remotely while working, and what are the costs and language demands?
Yes, the programmes are fully online, so you can study from Canada or elsewhere without a student visa, and fit sessions around work. Specialist courses are 300 hours, postgraduate diplomas 800 and master's 1,900. Teaching is in English, supported by an assigned technical tutor. Fees are payable in instalments, and employer sponsorship may be available.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Understand the concept and architecture of the digital twin.
Develop physics-based and reduced-order models.
Design connectivity and data management.
Build hybrid data-driven models.
Apply digital twins throughout the life cycle.
Design visualisations and interfaces for decision-makers.
Establish the governance and security of the twin.
Who it's for
- Digital twin engineers.
- Industrial data scientists.
- Simulation engineers.
- IoT platform architects.
- Predictive maintenance engineers.
- Digital transformation managers.
- Engineering or science graduates looking to move into defence.
What you'll work with
- ISO 23247 (digital twin framework for manufacturing)
- IEC 62541 (OPC Unified Architecture)
- Functional Mock-up Interface 3.0 (model exchange and co-simulation)
- IEC 62443 (industrial systems security)
- ISO/IEC 30173 (digital twin concepts and terminology)
- ISO 55001 (asset management)
- MATLAB Simulink
- Ansys Twin Builder
- Azure Digital Twins
- Unity
- Python scikit-learn
8 modules
1.1Definitions and maturity levels1.2Digital model, shadow and twin1.3Digital thread1.4Product, process and system twins1.5Applications in defence1.6Civil applications: industry and cities1.7International programmes1.8Benefits and challenges1.9ISO 23247 reference architecture1.10Case study: digital twin of a ship in service
2.1Physics-based models2.2Reduced-order models2.3Finite elements2.4Computational fluid dynamics2.5Multibody models2.6Modelling with Modelica2.7FMI and FMUs2.8Model validation2.9Model uncertainty2.10Workshop: reduced-order model of a structure
3.1Sensors and industrial IoT3.2OPC UA and MQTT protocols3.3Edge computing3.4Cloud platforms3.5Ingestion and storage3.6Data quality3.7Time series3.8Model-reality synchronisation3.9Data cybersecurity3.10Lab: data flow with MQTT
4.1Machine learning for twins4.2Hybrid physics-data models4.3Physics-informed neural networks4.4Anomaly detection4.5State estimation4.6Degradation forecasting4.7Bayesian updating4.8Explainability4.9Model deployment4.10Practical exercise: hybrid model of an engine
5.1Virtual design and validation5.2Manufacturing and production5.3Virtual testing5.4Predictive maintenance5.5Fleet management5.6Training and simulation5.7Logistics planning5.8Infrastructure and bases5.9Decommissioning and recycling5.10Case study: twin of a vehicle fleet
6.13D visualisation6.2Unity and Unreal engines6.3Augmented reality for maintenance6.4Virtual reality for training6.5Dashboards6.6Interfaces for decision-makers6.7Remote collaboration6.8Performance and scalability6.9Usability6.10Lab: 3D visualisation with real-time data
7.1Data ownership7.2Interoperability and standards7.3Cybersecurity: IEC 624437.4Information classification7.5Validation and trust7.6Responsibility for decisions7.7Privacy7.8Sustainability7.9National and European strategies7.10Case study: governance plan for a twin
8.1Asset definition8.2Twin requirements8.3Physical model8.4Data architecture8.5Data-driven model8.6Visualisation8.7Validation plan8.8Conclusions8.9Report and presentation8.10Final project: final review with the tutor
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 MATLAB Simulink, Ansys Twin Builder, Azure Digital Twins, Unity and Python scikit-learn, in free, academic or evaluation versions. Real procedures are studied, including reduced-order models, real-time IoT data flows and hybrid degradation models. Assessment is continuous by module, plus the final capstone project.
Standards covered: ISO 23247, IEC 62541, Functional Mock-up Interface 3.0, IEC 62443, ISO/IEC 30173, ISO 55001.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- 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.
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 Simulink, Ansys Twin Builder, Azure Digital Twins, Unity, Python scikit-learn, 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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