Course in Integration of Digital Twins in Nuclear
300-hour online course in integration of digital twins in nuclear. 6 modules covering ISO 23247 (framework for digital twins in manufacturing), ISO/IEC 30173 (digital twins: concepts and terminology) and MOOSE. Dedicated tutor and enrolment open.
Course in Integration of Digital Twins in Nuclear — studying from Singapore
Singapore has no nuclear power plants, and nuclear activity is limited to research, radiation safety and the use of radioisotopes in industry and healthcare. The National Environment Agency regulates radiation protection and the use of radioactive materials. Engineers with nuclear skills in Singapore typically work on radiation safety, nuclear instrumentation or regional advisory and monitoring roles, rather than on fuel cycle operations. Demand is linked to medical, research and industrial applications.
Fees for Singapore: S$780 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
Will this qualification be recognised by professional bodies in Singapore?
SEIUM's qualifications are private, not official state degrees, and are not accredited by any national body in Singapore. Singapore has no operating nuclear power plants, and nuclear-related activities are overseen by the National Environment Agency and other agencies. Professional Engineer status is handled by the Professional Engineers Board. Recognition of a private qualification is decided by employers or the relevant body.
How might this training be used by employers in Singapore?
Singapore has no domestic nuclear power industry, so opportunities in this field are limited and mostly linked to regional energy projects, research, radiation safety, or international employers. An online private qualification may support general knowledge but does not guarantee a role. Employers will weigh relevant experience and licensing highly.
Can I study this alongside a full-time job, and can my employer help fund it?
The programme is online and taught in English, so you can study from Singapore while working, with no student visa needed. The workload is substantial, so be realistic about hours. Fees can be paid in instalments, and employer sponsorship is possible, though you should confirm whether your employer funds training in this specialised area.
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
Define what a digital twin is and its maturity levels in the nuclear sector.
Build physical and reduced-order models to represent plant systems.
Integrate plant data flows using standard industrial protocols.
Apply data assimilation and analytics techniques to support decision-making.
Assess cybersecurity, verification and validation requirements for the twin.
Analyse the regulatory conditions for the use of digital twins in nuclear facilities.
Develop a digital twin prototype for a power plant system.
Who it's for
- Digital twin engineer who wants to specialise in integration of digital twins in nuclear.
- Nuclear modelling and simulation engineer who wants to specialise in integration of digital twins in nuclear.
- Industrial data architect who wants to specialise in integration of digital twins in nuclear.
- Plant analytics specialist who wants to specialise in integration of digital twins in nuclear.
- Operations support engineer who wants to specialise in integration of digital twins in nuclear.
- Digital transformation consultant in energy who wants to specialise in integration of digital twins in nuclear.
- Graduates in engineering or sciences seeking to enter nuclear power plants.
What you'll work with
- ISO 23247 (framework for digital twins in manufacturing)
- ISO/IEC 30173 (digital twins: concepts and terminology)
- IEC 61513 (instrumentation and control systems important to safety)
- IEC 62541 (OPC UA)
- IEC 62645 (cybersecurity of I&C in nuclear power plants)
- ASME V&V 10 (verification and validation in computational solid mechanics)
- IEC 62264 (enterprise-control system integration, ISA-95)
6 modules · 300 h
1.1Definition of digital twin and maturity levels1.2Model, digital shadow and digital twin1.3Applications: operation, maintenance and design1.4Twins in SMRs and microreactors1.5Initiatives by DOE, EPRI and IAEA1.6Twins for ITER and fusion facilities1.7ISO 23247 reference architectures1.8Benefits and risks1.9State of the industry and published cases1.10Practical case: defining a twin for a coolant pump
2.1System thermal-hydraulic models: RELAP5 and TRACE2.2Core neutronic models2.3Finite element structural models2.4Reduced models and surrogates2.5Order reduction: POD and dynamic modes2.6Co-simulation with FMI/FMU2.7Component ageing models2.8Multiphysics coupling2.9Real-time requirements2.10Laboratory: reduced model of a heat exchanger
3.1Acquisition systems and historians3.2OPC UA and Modbus protocols3.3Signal quality and validation3.4Data reconciliation3.5Data assimilation and Kalman filters3.6Model and plant synchronisation3.7Ontologies and information models3.8Integration with BIM and 3D models3.9Twin configuration management3.10Practice: Kalman filter on temperature data
4.1Anomaly detection in the twin4.2Prognostics and predictive maintenance4.3Operational optimisation4.4Evaluation of hypothetical scenarios4.5Support for refuelling outage planning4.6Twins for decommissioning4.7Visualisation and augmented reality4.8Operator interface4.9Uncertainty quantification4.10Practical case: twin for monitoring primary circuit fatigue
5.1Secure architecture and data diodes5.2IEC 62443 and NSS 17 applied to the twin5.3Model verification, validation and accreditation5.4ASME V&V 10 and 20 standards5.5Model credibility according to NASA-STD-70095.6Software safety classification5.7Regulatory use of digital twins5.8Change management and maintenance5.9Economic return of the twin5.10Workshop: V&V plan for a digital twin
6.1Selection of the plant system6.2Definition of use cases6.3Data and model architecture6.4Development of the physical or reduced model6.5Integration with simulated plant data6.6Validation and uncertainty quantification6.7Cybersecurity assessment6.8Project synthesis6.9Report and presentation6.10Final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetables: students progress at their own pace within the intake, which allows it to be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MOOSE, Ansys Twin Builder, MATLAB/Simulink, AVEVA PI System, Python (pandas), in free, academic or evaluation versions. Tests are studied using real procedures for integrating plant simulator data, reduced-order models calibrated with data and decision-support dashboards. Assessment is continuous by module plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Define what a digital twin is and its maturity levels in the nuclear sector.
Build physical and reduced-order models to represent plant systems.
Integrate plant data flows using standard industrial protocols.
Apply data assimilation and analytics techniques to support decision-making.
Assess cybersecurity, verification and validation requirements for the twin.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulatory texts.
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 comprises 300 hours in total, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You will work with MOOSE, Ansys Twin Builder, MATLAB/Simulink, AVEVA PI System, Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
An own diploma from SEIUM upon passing the continuous assessment and the integrating project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Please check the credit transfer policy when you enrol.
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