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Master'sNaval, Offshore & Sports Nautical Applications open

Master’s in Shipyard Digitalisation Engineering

Online master's programme of 1,900 hours in shipyard digitalisation engineering: 12 modules covering 3D product modelling, PLM, digital manufacturing, IoT, digital twins, data analytics and AI, extended reality, industrial cybersecurity and digital quality, 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

Design digitalisation roadmaps for shipyards.

02

Manage the 3D product model and its life cycle with PLM.

03

Implement digital manufacturing and automation technologies.

04

Develop digital twins of production processes.

05

Apply data analytics and artificial intelligence to production.

06

Protect industrial systems against cyber threats.

07

Assess the return on investment of digital projects.

Profile

Who it's for

  • Digital transformation managers in shipyards and naval suppliers.
  • PLM engineers responsible for product data and engineering change.
  • Industrial automation engineers working on robotics and production lines.
  • Industrial data analysts building predictive models and dashboards.
  • OT cybersecurity specialists protecting shop-floor and on-board systems.
  • MES engineers connecting planning with the shop floor.
  • Engineering or science graduates aiming to join shipyards.
Standards & tools

What you'll work with

  • IEC 62443 (cybersecurity of industrial automation systems)
  • ISO 10303 STEP (product data exchange)
  • IACS UR E26 (cyber resilience of ships)
  • IACS UR E27 (cyber resilience of on-board systems and equipment)
  • ISO 23247 (digital twin framework for manufacturing)
  • IEC 62264 (enterprise-control system integration)
  • ISO/IEC 27001 (information security management)
  • AVEVA Marine
  • Siemens Teamcenter
  • Siemens Plant Simulation
  • Unity
  • Power BI
Syllabus

12 modules · 1900 h

  1. 1.1Digital maturity of shipyards
  2. 1.2The RAMI Industry 4.0 reference model
  3. 1.3Systems architecture of a shipyard
  4. 1.4Digitalisation roadmap
  5. 1.5Managing change and people
  6. 1.6Digital shipyard cases in Europe and Asia
  7. 1.7Digital transformation indicators
  8. 1.8Financing digital projects
  9. 1.9Barriers and success factors
  10. 1.10Case study: digital maturity assessment
  1. 2.1Naval CAD/CAE tools
  2. 2.2The 3D product model
  3. 2.3Collaborative design across disciplines
  4. 2.4Automatic drawing generation
  5. 2.5Concurrent engineering across disciplines
  6. 2.6Clash detection
  7. 2.7Design review in virtual reality
  8. 2.8Configuration management
  9. 2.9Interoperability and STEP formats
  10. 2.10Workshop: modelling a block in naval software
  1. 3.1PLM concepts
  2. 3.2Engineering change management
  3. 3.3eBOM and mBOM product structures
  4. 3.4Approval workflows
  5. 3.5PLM-ERP integration
  6. 3.6Requirements traceability
  7. 3.7Technical document management
  8. 3.8Data quality
  9. 3.9Implementing a PLM
  10. 3.10Practical exercise: engineering change workflow in a PLM
  1. 4.1CNC cutting and automatic nesting
  2. 4.2Welding robotics
  3. 4.3Offline robot programming
  4. 4.4Automated panel lines
  5. 4.5Additive manufacturing of naval parts
  6. 4.6CNC pipe bending
  7. 4.7Dimensional measurement with laser trackers
  8. 4.8Manufacturing execution systems (MES)
  9. 4.9Shop-floor data capture
  10. 4.10Lab: offline programming of a welding robot
  1. 5.1Industrial sensors and protocols
  2. 5.2Industrial wireless networks and private 5G
  3. 5.3Locating blocks and materials with RFID
  4. 5.4Monitoring cranes and equipment
  5. 5.5Edge computing on the shop floor
  6. 5.6OPC UA and MQTT protocols
  7. 5.7Industrial IoT platforms
  8. 5.8Device security
  9. 5.9Energy management in the shipyard
  10. 5.10Practical exercise: IoT architecture for block tracking
  1. 6.1Digital twin concept and levels
  2. 6.2Digital twin of the production process
  3. 6.3Digital twin of the ship under construction
  4. 6.4Discrete-event simulation
  5. 6.5Synchronisation with real data
  6. 6.6Digital twin for the shipowner
  7. 6.7Ship behaviour models
  8. 6.8Return on investment of the twin
  9. 6.9Commercial digital twin platforms
  10. 6.10Case study: digital twin of a block workshop
  1. 7.1Data architectures and data lakes
  2. 7.2Descriptive production analytics
  3. 7.3Lead-time prediction with machine learning
  4. 7.4Computer vision for quality control
  5. 7.5AI-based planning optimisation
  6. 7.6Natural language processing of technical documentation
  7. 7.7Real-time dashboards
  8. 7.8Data governance
  9. 7.9Ethics and responsible use of AI
  10. 7.10Lab: predictive model of hours per block
  1. 8.1Virtual reality for design review
  2. 8.2Augmented reality in assembly
  3. 8.3Digital work instructions
  4. 8.4Tablets and drawings in the workshop
  5. 8.5Simulator-based training
  6. 8.6Remote expert assistance
  7. 8.7Collaboration with the shipowner
  8. 8.8Ergonomics and user acceptance
  9. 8.9Validated use cases
  10. 8.10Workshop: augmented reality assembly instruction
  1. 9.1Threats in OT environments
  2. 9.2The IEC 62443 standard
  3. 9.3Network segmentation
  4. 9.4Identity and access management
  5. 9.5Protecting intellectual property
  6. 9.6Cybersecurity of the delivered ship
  7. 9.7IACS UR E26 and E27 requirements
  8. 9.8Incident response
  9. 9.9Security audits
  10. 9.10Case study: cyber risk analysis of a shipyard
  1. 10.1Digital quality inspection
  2. 10.23D scanning and comparison with the model
  3. 10.3Digital weld traceability
  4. 10.4Mobile non-conformity management
  5. 10.5Statistical process control
  6. 10.6Digital material certification
  7. 10.7Digital delivery documentation
  8. 10.8Integration with the classification society
  9. 10.9Data-driven predictive quality
  10. 10.10Practical exercise: scan-to-model comparison of a block
  1. 11.1Technology selection
  2. 11.2Feasibility studies
  3. 11.3Agile project management
  4. 11.4Software vendors and procurement
  5. 11.5Pilot testing and scaling up
  6. 11.6User training
  7. 11.7Measuring benefits
  8. 11.8Sustainability of the solutions
  9. 11.9Managing the digital portfolio
  10. 11.10Case study: business case for an MES
  1. 12.1Digital diagnosis of the shipyard
  2. 12.2Definition of use cases
  3. 12.3Proposed technology architecture
  4. 12.4Implementation plan
  5. 12.5Risk and cybersecurity analysis
  6. 12.6Economic assessment of the proposal
  7. 12.7Conclusions and proposals
  8. 12.8Review with the thesis supervisor
  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 materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is AVEVA Marine, Siemens Teamcenter, Siemens Plant Simulation, Unity and Power BI, in free, academic or evaluation versions. Practical work is based on real procedures: assessing the digital maturity of a shipyard, simulating a workshop with a digital twin and developing a predictive production model. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: IEC 62443, ISO 10303 STEP, IACS UR E26, IACS UR E27, ISO 23247, IEC 62264 and ISO/IEC 27001.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IEC 62443, ISO 10303 STEP, IACS UR E26 and ISO 23247 applied to real cases, not as a theoretical annex.
Industry software:AVEVA Marine, Siemens Teamcenter, Siemens Plant Simulation, Unity and Power BI, in free, academic or evaluation versions.
Master's Thesis with defence:a digitalisation plan for a shipyard covering use cases, technology architecture, implementation plan, cybersecurity and economic assessment, 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 maturity diagnosis
Assess the digital maturity of a shipyard and define its roadmap.
Workshop digital twin
Simulate a block workshop with a discrete-event digital twin.
Predictive production model
Train a machine-learning model to predict hours per block.
OT cyber risk analysis
Analyse the cyber risks of a shipyard against IEC 62443.
Master's Thesis
A complete shipyard digitalisation plan with economic assessment, defended before a panel.
Career opportunities

Where this takes you

Digital transformation managerPLM engineerIndustrial automation engineerIndustrial data analystOT cybersecurity specialistMES engineer
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • 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 AVEVA Marine, Siemens Teamcenter, Siemens Plant Simulation, Unity and Power BI, 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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