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CourseNaval, Offshore & Sports Nautical Applications open

Course in Digital Twins for Naval Fleets

Online 300 h course in digital twins for naval fleets. 6 modules covering ISO 23247 Automation systems. Digital twin framework for manufacturing, DNV-RP-A204 Qualification and assurance of digital twins and ANSYS Twin Builder. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Explain the concept and maturity levels of the naval digital twin.

02

Design data architectures and connectivity for fleets.

03

Develop physical and reduced-order models of the vessel.

04

Calibrate models with operational data.

05

Apply digital twins to maintenance and energy efficiency.

06

Assess the economic viability and implementation risks.

07

Propose a complete digital twin for a fleet use case.

Profile

Who it's for

  • Digital twin engineer looking to specialise in Digital Twins for Naval Fleets.
  • Maritime data architect looking to specialise in Digital Twins for Naval Fleets.
  • Digital technical superintendent looking to specialise in Digital Twins for Naval Fleets.
  • Naval simulation engineer looking to specialise in Digital Twins for Naval Fleets.
  • Fleet asset manager looking to specialise in Digital Twins for Naval Fleets.
  • Maritime digital transformation consultant looking to specialise in Digital Twins for Naval Fleets.
  • Graduates in engineering or science seeking to enter shipping companies.
Standards & tools

What you'll work with

  • ISO 23247 Automation systems. Digital twin framework for manufacturing
  • DNV-RP-A204 Qualification and assurance of digital twins
  • ISO 19847 Ships and marine technology. Shipboard data servers
  • ISO 19848 Ships and marine technology. Standard data for shipboard machinery and equipment
  • IEC 61162-450 Digital interfaces. Ethernet interconnection
  • ISO 55000 Asset management
  • Unified requirements IACS E26 and E27
Syllabus

6 modules · 300 h

  1. 1.1Definition and maturity levels of the digital twin
  2. 1.2Design, construction and operation twins
  3. 1.3Physical, digital and connection architecture
  4. 1.4Vessel lifecycle management
  5. 1.5Use cases in commercial and state fleets
  6. 1.6Benefits and implementation barriers
  7. 1.7ISO 23247 reference framework
  8. 1.8Qualification of digital twins
  9. 1.9State of practice in European shipyards
  10. 1.10Case study: use-case map for a fleet
  1. 2.1Shipboard data servers
  2. 2.2Data structure according to ISO 19848
  3. 2.3Onboard networks and IEC 61162-450
  4. 2.4Satellite and band connectivity
  5. 2.5Quality, synchronisation and metadata
  6. 2.6Cloud and edge platforms
  7. 2.7Semantic models of assets
  8. 2.8Data governance across the fleet
  9. 2.9Communications security
  10. 2.10Laboratory: data model of a vessel
  1. 3.1Propulsion and resistance models
  2. 3.2Machinery and energy models
  3. 3.3Structural and fatigue models
  4. 3.4Seakeeping behaviour models
  5. 3.5Reduced-order models
  6. 3.6Co-simulation with FMI and FMU
  7. 3.7Model calibration with real data
  8. 3.8Uncertainty and validation
  9. 3.9Hybrid physics and data models
  10. 3.10Workshop: reduced model of a propulsion plant
  1. 4.1Machinery condition monitoring
  2. 4.2Fuel consumption optimisation
  3. 4.3Structural integrity management
  4. 4.4Risk-based maintenance planning
  5. 4.5Scenario simulation and training
  6. 4.6Fleet management and vessel allocation
  7. 4.7Real-time decision support
  8. 4.83D visualisation and augmented reality
  9. 4.9Fleet availability indicators
  10. 4.10Case study: digital twin of a ferry's power plant
  1. 5.1Asset management according to ISO 55000
  2. 5.2Class requirements for software-based systems
  3. 5.3Cyber-resilience of connected twins
  4. 5.4Data ownership and contracts
  5. 5.5Economic evaluation of the digital twin
  6. 5.6Change management in the organisation
  7. 5.7Interoperability between suppliers
  8. 5.8Scaling from pilot to full fleet
  9. 5.9Ethical and data sovereignty considerations
  10. 5.10Practice: cost-benefit analysis of a digital twin
  1. 6.1Fleet and use case
  2. 6.2Functional requirements of the twin
  3. 6.3Data architecture
  4. 6.4Physical and data models
  5. 6.5Co-simulation prototype
  6. 6.6Validation with data
  7. 6.7Implementation plan
  8. 6.8Economic evaluation of the digital twin
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the course with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ANSYS Twin Builder, Simcenter Amesim, MATLAB and Simulink, Azure Digital Twins, in free, academic or evaluation versions. Practical work covers real design procedures for the architecture of a vessel digital twin, calibration of a propulsion model with real data, and cost-benefit analysis of a fleet digital twin. Assessment is continuous, module by module, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, with cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Fleet and use case

Explain the concept and maturity levels of the naval digital twin.

Functional requirements of the twin

Design data architectures and connectivity for fleets.

Data architecture

Develop physical and reduced-order models of the vessel.

Physical and data models

Calibrate models with operational data.

Co-simulation prototype

Apply digital twins to maintenance and energy efficiency.

Career opportunities

Where this takes you

Digital twin engineerMaritime data architectDigital technical superintendentNaval simulation engineerFleet asset managerMaritime digital transformation consultant
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory reading.

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 300 hours, 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 ANSYS Twin Builder, Simcenter Amesim, MATLAB and Simulink, Azure Digital Twins. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An own SEIUM diploma upon passing the continuous assessment and the integrating project. This is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the credit recognition policy when you enrol.

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