Master’s Degree in Digital Twins of Ships and Ports
Why this master’s programme?
The Master’s in Digital Twins of Ships and Ports
Prepares you to lead the digital transformation of the maritime sector. Master the creation, management, and analysis of digital twins to optimize the design, operation, and maintenance of vessels and port infrastructure. This program immerses you in key technologies: 3D modeling, IoT sensors, data analytics, and artificial intelligence, applied to real-world and cutting-edge use cases.
Differentiating Advantages
- Advanced Simulation: Predicts the behavior of ships and ports under diverse operating conditions.
- Supply Chain Optimization: Improves logistical efficiency and reduces operating costs.
- Predictive Maintenance: Anticipates failures and optimizes asset lifespan.
- Innovative Design: Experiment virtually with new configurations and materials.
- Holistic Vision: Connects the ship and the port in a single digital ecosystem.
- Modality: Online
- Level: Masters
- Hours: 1600 H
- Start date:
Availability: 1 in stock
Who is it aimed at?
- Naval and maritime engineers who wish to lead the digital transformation in the naval and port industry.
- Naval architects who seek to optimize the design and construction of ships through advanced simulation.
- Port and terminal managers who aspire to improve operational efficiency and safety through digital modeling.
- Software developers and IT specialists interested in applying their skills in the maritime sector with cutting-edge technologies.
- Researchers and academics who want to deepen the study and application of digital twins in the naval and port field.
Flexibility and applicability
Program Online course designed for active professionals: live and recorded virtual classes, practical projects with specialized software and personalized tutoring.
Objectives and skills
Optimize predictive maintenance:
“Analyzing sensor data with Machine Learning tools to anticipate failures and schedule efficient interventions.”
Simulating maritime emergency scenarios:
Assess the situation, communicate effectively and execute emergency procedures, prioritizing the safety of human life at sea.
Evaluate the energy efficiency of maritime operations:
Optimize routes and speed considering weather conditions and currents, using planning software and real-time consumption monitoring.
Implement smart port management systems:
Integrate IoT technologies, data analytics, and automation to optimize the flow of goods, improve safety, and reduce environmental impact, coordinating with port authorities and logistics operators.
Improve strategic decision-making:
Anticipate scenarios, assess risks and opportunities, and define optimal courses of action considering available resources and relevant contextual information.
Develop predictive models of maritime behavior:
“Integrating AIS, meteorological, and historical data to model maritime traffic patterns and predict congestion, collision risks, and route optimization.”
Study plan – Modules
- Fundamentals of Digital Twins: Definition, Components, and Architecture Applied to Maritime and Port Environments
- Integration of IoT Technologies: Smart Sensors, M2M Communication, and Real-Time Data Transmission Protocols
- 3D Modeling and Advanced Simulation: CAD Tools and Specialized Software for the Digital Representation of Ships and Ports
- Big Data and Predictive Analytics: Collection, Processing, and Analysis of Large Volumes of Operational Data for Continuous Optimization
- Automation and Intelligent Control: SCADA Systems, PLCs, and Control Algorithms Applied to Port Infrastructure Management
- Digital Twins for Energy Management: Monitoring Consumption, Optimizing Resource Use, and Reducing Pollutant Emissions
- Augmented and Virtual Reality: Applications in Predictive Maintenance, Staff Training, and Support for Strategic Decision-Making
- Maritime Traffic Simulation Models: Dynamic Analysis of Vessel Flows, Congestion, and Systems Port traffic management (VTS)
Interoperability and communication standards: protocols such as OPC UA, MQTT, and their role in connecting heterogeneous systems
Cybersecurity in connected environments: vulnerability analysis and strategy design for protecting digital twins against attacks
Case studies: implementation of digital twins in smart ports and maritime fleet operations to improve efficiency and reduce costs
Impact and return on investment (ROI) assessment in port digitization projects using digital twins
Emerging trends: machine learning, artificial intelligence, and digital twins as the basis for digital transformation in maritime logistics
Development and deployment frameworks: cloud architectures, edge computing, and the use of digital platforms for scaling solutions
Applicable regulations and standards: compliance with international standards for integrating innovative technologies in the sector maritime-port
- Fundamentals and architecture of the Internet of Things (IoT) applied to maritime environments: devices, protocols, and communication standards
- Advanced design of integrated sensor networks for real-time data capture on ships and in ports: environmental, structural, acoustic, and maritime traffic sensors
- Industrial and network communication protocols: MQTT, OPC-UA, LPWAN, 5G, and their application in maritime connectivity
- Integration of SCADA and PLC systems for automated monitoring and control in port management and smart vessels
- Methodologies for real-time data acquisition, filtering, and preprocessing: calibration, synchronization, and validation of maritime IoT sensors
- Big Data platforms and distributed systems for massive data storage and processing in the context of digital twins
- Application of advanced predictive analytics and machine learning techniques for the Simulation and optimization of maritime and port operations
Dynamic modeling and computational simulation applied to digital twins: integration of physical, operational, and environmental data to replicate real-world conditions
Development and evaluation of smart management scenarios: response to critical events, predictive maintenance, and logistics optimization based on digital twins
Implementation of dashboards and advanced visualization systems: augmented reality, virtual reality, and interactive panels for real-time decision-making
Security and cyber resilience in maritime and port IoT networks: encryption, authentication, and threat monitoring protocols
International regulations and standards applied to the integration of IoT and digital twins in the naval and port industry
Case studies and successful implementation studies of IoT-based digital twins for sustainable and efficient management in ports and merchant fleets
- Maritime IoT Architecture and Components: Sensors, Actuators, Gateways, and Communication Networks Specific to Marine and Port Environments
- IoT Communication Protocols in Maritime Environments: MQTT, CoAP, LoRaWAN, and 5G, with an Emphasis on Security and Redundancy in Adverse Conditions
- Capture and Management of Big Data from Onboard Systems, Environmental Sensors, and Port Platforms
- Data Integration and Processing Platforms: Storage Techniques, Normalization, and Distributed Architecture for High Availability and Low Latency
- Predictive Modeling Applied to Maritime Operations: Fundamentals of Machine Learning and Deep Learning for Traffic Forecasting, Predictive Maintenance, and Resource Management
- Application of Digital Twins for Real-Time Simulation and Process Optimization on Ships and in Port Terminals, Integrating Historical and Streaming Data
- Implementation of Early Warning Systems Based on predictive analytics: preventing equipment failures, optimizing routes, and managing environmental risks.
Real-world case studies and pilot projects: IoT and big data deployment in smart ports and connected ships, results, and lessons learned.
International regulations and standards for implementing smart technologies in the maritime-port sector, including cybersecurity and privacy management.
Integrating digital systems with traditional port infrastructure: challenges, solutions, and strategies for an efficient and sustainable technological transition.
- Fundamentals of Digital Twins in the Maritime Sector: definition, evolution, and applications in smart ships and ports
- Design and Architecture of Digital Twins: multiscale modeling for physical, functional, and operational representation
- IoT Sensor Integration in Maritime Infrastructures: selection, installation, and calibration of real-time sensors for continuous monitoring
- IoT Communication Protocols and Networks: maritime standards, interoperability, and data transmission security
- Data Architecture for Digital Twins: collection, storage, management, and processing of large volumes of heterogeneous data
- Big Data and Edge Computing: strategies for efficient processing and analysis in close proximity to maritime data sources
- Advanced Predictive Modeling: artificial intelligence and machine learning techniques for failure anticipation, logistics optimization, and improved operational performance
- Simulation Dynamics and Scenario Analysis: tools for virtual validation, contingency response testing, and strategic planning
Integration with Operational Systems and SCADA: synchronization with control systems for automation and real-time control
Applications in Predictive Maintenance: early anomaly detection, proactive asset management, and reduction of operating costs
Operational Optimization in Smart Ports: traffic management, berth planning, and logistics based on real-time data
Digital Maritime Security: cyber risk analysis, resilience protocols, and regulatory compliance in connected environments
Case Studies and Real-World Applications: detailed analysis of successful implementations on ships and in ports worldwide
Challenges and Future Trends: scalability, integration of emerging technologies such as 5G, autonomous digital twins, and federated twins
Regulatory and Ethical Considerations in the Use of Maritime Digital Twins: Privacy, Data Protection, and Technological Responsibility
[…]
- 3D Modeling Fundamentals for Digital Twins: Advanced laser scanning, photogrammetry, and CAD modeling techniques applied to maritime and naval infrastructures
- Multi-sensor data integration for digital environment creation: IoT sensors, radars, thermal and acoustic cameras, and their real-time synchronization
- 3D Simulation Platforms and Engines: Use of specialized software such as Unreal Engine, Unity3D, and proprietary platforms for rendering and immersive simulation
- Implementation of dynamic simulations: Ocean currents, waves, meteorology, and environmental phenomena that affect port operations and navigation
- Digital Twins for Predictive Maintenance: Machine learning algorithms and trend analysis to anticipate failures in fleets and terminals
- Simulation of operational and operational scenarios Emergency response: route optimization, port traffic control, incident response, and environmental impact assessment.
Advanced visualization: augmented reality (AR) and virtual reality (VR) for monitoring, remote diagnostics, and specialized training for operators and technicians.
Interoperability and international standards for maritime and port digital twins: ISO, OGC, CYFERS standards, and industrial communication protocols.
Integration with Port Management Systems (PMS), Fleet Management Systems (FMS), and SCADA solutions for comprehensive and efficient management.
Real-time monitoring with interactive dashboards: critical KPIs, automated alerts, and predictive analytics for strategic decision-making.
Case studies and applied projects: development and deployment of digital twins in high-traffic ports and commercial fleets for cost reduction, safety, and environmental sustainability.
- Methodologies for the continuous validation and calibration of the digital twin through field data and operational feedback
- Future trends and technological evolution: explainable artificial intelligence, federated digital twins, and hybrid twins for the cross-functional management of port and maritime assets
- Fundamentals and architecture of the Internet of Things (IoT) in maritime environments: devices, communication protocols (MQTT, CoAP, LwM2M), and wireless sensor networks applied to ships and ports
- Big Data platforms and tools: design, storage, and processing of large volumes of data generated by IoT sensors, SCADA systems, and external sources in maritime infrastructures
- Advanced predictive modeling: machine learning and deep learning techniques for the early detection of failures in naval and port machinery, based on digital twin models
- Real-time data integration: ETL processes, streaming, normalization, and synchronization to feed digital models and enable dynamic and accurate visualization of assets and operations
- Application of digital twins for operational optimization: real-time simulations, scenario analysis, and decision-making based on integrated IoT and Big Data
- Intelligent predictive maintenance strategies: data-driven planning, component lifecycle analysis, and automated recommendations for reducing costs and downtime
- Security and cybersecurity in integrated systems: protection of IoT data and devices, risk management, and specific regulations for connected maritime infrastructures
- Case studies and practical applications: implementation of digital twins in smart ports and ship propulsion systems to increase energy and operational efficiency
- Advanced visualization tools: integration of dashboards, augmented reality, and spatial analysis techniques for monitoring and guided maintenance
- International regulations and standards for the integration of IoT and Big Data in the maritime industry: compliance, interoperability, and best practices
- Fundamentals and architecture of Digital Twins in maritime and port environments: components, integration, and lifecycle
- Internet of Things (IoT) applied to vessels and ports: smart sensors, communication protocols, and onboard data networks
- Industrial IoT platforms: design, deployment, and maintenance in port infrastructure and naval systems
- Maritime Big Data: acquisition, storage, and processing of large volumes of operational and environmental data
- Predictive analytics models for maintenance: machine learning techniques, fault detection algorithms, and resource optimization
- Implementation of predictive and prescriptive maintenance systems: from real-time monitoring to anticipating critical failures
- Integration of advanced sensors: LIDAR, radar, environmental measurement devices, and telemetry for continuous monitoring
- Optimizing port operations through advanced analytics: intelligent traffic management, loading and unloading, and automated logistics
- Security and cybersecurity in maritime IoT and Big Data: encryption, authentication, and incident response protocols in digital twins
- Practical cases and real-world applications: analysis of case studies where the combined use of IoT and Big Data has increased operational efficiency and safety in digital twins
- Fundamentals of Digital Twin Architecture: definition, components, and technological evolution applied to maritime environments
- Multidimensional Modeling: integration of 3D and 4D data for the creation of accurate digital replicas of ships and port terminals
- Advanced Sensor Systems: IoT, distributed sensors, and real-time capture technologies for monitoring and predictive analysis
- Integration Platforms: middleware, APIs, and standardized protocols for seamless communication between physical assets and their digital twins
- Data Architecture and Big Data: storage, processing, and efficient management of large volumes of information generated by maritime fleets and ports
- Machine Learning and AI Algorithms: techniques for performance optimization, predictive maintenance, and simulation of operational scenarios
- Implementation of Digital Twins in Management Sustainable: emissions reduction, energy efficiency, and environmental regulatory compliance
Interoperability and Standards: maritime protocols, international regulations, and solutions to ensure compatibility and scalability
Cybersecurity in Digital Twins: data protection, intrusion detection, and threat response in critical systems
Advanced Use Cases: maneuver simulation, logistics optimization, real-time fleet management, and predictive maintenance in smart port terminals
Visualization and Augmented Reality Tools: facilitating decision-making through intuitive interfaces and data analysis in dynamic operational contexts
Cloud and Edge Computing Architectures: infrastructure design to ensure low latency, high availability, and distributed processing
Implementation and Scalability Methodologies: technology deployment phases, integration with legacy systems, and evolution strategies continued
- Connectivity and Advanced Networks: 5G, satellite, and private network technologies to ensure uninterrupted communications in maritime environments
- Impact Assessment and KPIs: Key metrics to measure operational efficiency, sustainability, and return on investment in digital twin projects for fleets and ports
- Fundamentals and technological evolution of digital twins in the naval and port industry: history, key concepts, and disruptive applications
- IoT system architecture for real-time monitoring: sensors, industrial communication networks (5G, LPWAN, NB-IoT), and gateways specifically designed for maritime environments
- Big Data in port and naval fleet management: capture, storage, and massive processing of structured and unstructured data
- Data integration and analysis platforms: edge computing, cloud computing, and hybrid mechanisms to guarantee minimal latency and high availability
- Predictive modeling applied to the predictive and operational maintenance of ships and port equipment: supervised and unsupervised machine learning algorithms, anomaly detection, and failure prognosis
- Simulation and optimization of port processes using mathematical models and digital twins: vessel traffic, logistics management, and resource allocation in terminals
- Advanced 3D visualization for digital twins: volumetric reconstruction techniques, augmented reality (AR), and virtual reality (VR) for diagnostics and decision support
- Integration of SCADA/PLC systems with digital twins for intelligent remote monitoring and control of port infrastructure
- International regulations and standards applicable to port digitalization: IMO, IEC, IEEE, and their relevance to digital twin interoperability
- Case studies and real-world implementation studies: impact analysis on operational efficiency, cost reduction, sustainability, and security in ports and commercial fleets
- Cybersecurity strategies for industrial digital platforms: protection against threats specific to the maritime and port sector, including attacks on IoT systems and data manipulation
- Deployment and scalability methodologies for digital twins in naval infrastructure: from pilot projects to full integration into smart port ecosystems
- Innovation in predictive maintenance and Prescriptive: Use of advanced AI for automated suggestions and autonomous maintenance in fleets and terminals
Economic evaluation and return on investment (ROI) analysis of digital twin technology implementation in the maritime industry
Future trends and technological challenges: quantum computing, distributed digital twins, and digital twins for port logistics 4.0
- Fundamentals and state of the art of digital twins in the maritime and port sector: definitions, applications, and strategic benefits
- Integrated digital architecture for ship and port twins: IoT platforms, SCADA systems, distributed databases, and microservices
- Advanced modeling of marine physics and structural dynamics: CFD simulation, vibration analysis, and multiphysics modeling applied to vessels and port infrastructure
- Real-time data capture and processing: integration of onboard sensors, environmental sensors, and satellites, with secure transmission and industrial communication protocols
- Development of algorithms for predictive maintenance: machine learning techniques, statistical failure analysis, and lifespan prediction of critical components
- Implementation of sustainable management systems using digital twins: optimization of energy consumption, emission reduction, and efficient management of water resources and waste
- Advanced operational safety: integration of early warning systems, simulation of scenarios Risk and cybersecurity vulnerability analysis in digital maritime environments
Visualization and remote control through immersive user interfaces: augmented reality, VR, and intelligent dashboards for real-time decision-making
Interoperability protocols and international standards for communication between digital twins, smart port systems, and global logistics networks
Comprehensive management of the digital twin development project: planning, modular integration, testing in real-world environments, and performance evaluation
Applicable regulations and legal considerations: compliance with IMO regulations, GDPR on maritime data, and industry-specific cybersecurity standards
Preparation of technical reports and executive presentation of the final project: methodology, results obtained, ROI, and strategic recommendations for industrial adoption
Career prospects
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- Digital Twin Developer: Creation and maintenance of virtual replicas of ships and ports.
- Maritime Simulation Engineer: Design and execution of simulations to optimize operations and safety.
- Maritime Digital Transformation Consultant: Advising companies on the implementation of digital twins.
- 3D Modeling and Visualization Specialist: Creation of accurate models and interactive visualizations.
- Maritime Data Analyst: Extraction of valuable information from data generated by digital twins.
- Innovation Project Manager: Leadership of projects for the development and implementation of new technologies.
- Maritime Technology Researcher: Development of new applications and functionalities for digital twins.
- Port Operations Optimization Expert: Improving efficiency and safety in ports through the use of digital twins.
- Predictive Maintenance Specialist: Using digital twins to predict failures and optimize ship maintenance.
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Entry requirements
Academic/professional profile:
Bachelor’s degree in Nautical Science/Maritime Transport, Naval/Marine Engineering or a related qualification; or proven professional experience on the bridge/in operations.
Language proficiency:
Functional Maritime English (SMCP) recommended for simulations and technical materials.
Documentation:
Updated CV, copy of qualification or seaman’s book, national ID/passport, motivation letter.
Technical requirements (for online):
Device with camera/microphone, stable internet connection, monitor ≥ 24” recommended for ECDIS/Radar-ARPA.
Admissions process and dates
Online
application
(form + documents).
Academic review and interview
Admissions decision
Admissions decision
(+ scholarship offer if applicable).
Place reservation
(deposit) and enrolment.
Induction
(access to the virtual campus, calendars, simulator guides).
Scholarships and financial support
- Master the technology: Learn to create and manage digital twins of ships and ports with the latest tools.
- Advanced simulation: Perform predictive simulations to optimize operations, reduce costs, and improve safety.
- Real-world case studies: Work on applied projects that will prepare you for the challenges of the maritime and port sector.
- Industry experts: Learn from leading professionals in the implementation of digital twins in the maritime sector.
- Boost your career: Acquire in-demand skills and become an expert in the digital transformation of the sector.
Testimonials
I applied the knowledge I gained from my Master’s degree in Digital Twins of Ships and Ports to optimize the management of a highly congested port. Through simulation and real-time data analysis of the digital twin, we reduced vessel waiting times by 15% and increased the efficiency of loading and unloading operations by 20%, generating significant savings and improvements in the logistics chain.
During my Master’s degree in Artificial Intelligence & Maritime Big Data, I developed a system for predicting optimal routes for merchant ships, taking into account variables such as real-time weather conditions and freight market fluctuations. This project, implemented in a pilot program with a shipping company, reduced fuel costs by 12% and delivery times by 7%, demonstrating the potential of AI in optimizing maritime transport.
I applied the knowledge I gained from my Master’s degree in Digital Twins of Ships and Ports to optimize cargo operations at the Port of Rotterdam. I implemented a digital twin that predicted crane congestion with 95% accuracy, allowing for the reallocation of resources and reducing vessel waiting times by 20%, resulting in significant savings in operating costs and improving the overall efficiency of the port.
I applied the knowledge I gained from my Master’s degree in Digital Twins of Ships and Ports to optimize cargo operations at the Port of Rotterdam. I implemented a digital twin that predicted congestion with 95% accuracy, reducing ship waiting times by 20% and significantly increasing port efficiency. This achievement allowed me to lead a new team focused on expanding digital twin technology to other ports in the network.
Frequently asked questions
Digital representations of physical maritime assets, such as ships and ports, that use real-time data and simulations to optimize design, construction, operation, and maintenance.
Yes. The itinerary includes ECDIS/Radar-ARPA/BRM with harbor, ocean, fog, storm, and SAR scenarios.
Online with live sessions; hybrid option for simulator/practical placements through agreements.
It covers both aspects: the creation of digital replicas (digital twins) and the management/operation of ships and ports using these replicas.
Recommended functional SMCP. We offer support materials for standard phraseology.
Yes, with a relevant degree or experience in maritime/port operations. The admissions interview will confirm suitability.
Optional (3–6 months) through Companies & Collaborations and the Alumni Network.
Simulator practice (rubrics), defeat plans, SOPs, checklists, micro-tests and applied TFM.
A degree from Navalis Magna University + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.
- Fundamentals and state of the art of digital twins in the maritime and port sector: definitions, applications, and strategic benefits
- Integrated digital architecture for ship and port twins: IoT platforms, SCADA systems, distributed databases, and microservices
- Advanced modeling of marine physics and structural dynamics: CFD simulation, vibration analysis, and multiphysics modeling applied to vessels and port infrastructure
- Real-time data capture and processing: integration of onboard sensors, environmental sensors, and satellites, with secure transmission and industrial communication protocols
- Development of algorithms for predictive maintenance: machine learning techniques, statistical failure analysis, and lifespan prediction of critical components
- Implementation of sustainable management systems using digital twins: optimization of energy consumption, emission reduction, and efficient management of water resources and waste
- Advanced operational safety: integration of early warning systems, simulation of scenarios Risk and cybersecurity vulnerability analysis in digital maritime environments
Visualization and remote control through immersive user interfaces: augmented reality, VR, and intelligent dashboards for real-time decision-making
Interoperability protocols and international standards for communication between digital twins, smart port systems, and global logistics networks
Comprehensive management of the digital twin development project: planning, modular integration, testing in real-world environments, and performance evaluation
Applicable regulations and legal considerations: compliance with IMO regulations, GDPR on maritime data, and industry-specific cybersecurity standards
Preparation of technical reports and executive presentation of the final project: methodology, results obtained, ROI, and strategic recommendations for industrial adoption
Request information
Complete the Application Form.
Attach your CV/degree certificate (if you have it to hand).
Indicate your preferred cohort (January/May/September) and whether you would like the hybrid option with simulator sessions.
An academic advisor will contact you within 24–48 hours to guide you through the admission process, scholarships, and compatibility with your professional schedule.
Faculty
Eng. Tomás Riera
Full Professor
Eng. Tomás Riera
Full Professor
Naval engineer specializing in the selection, integration, and optimization of propulsion systems for yachts, high-speed craft, and service vessels.
Eng. Sofía Marquina
Full Professor
Eng. Sofía Marquina
Full Professor
Materials engineer specializing in marine composites and corrosion protection systems for ships, yachts, and port structures.
Eng. Javier Bañuls
Full Professor
Eng. Javier Bañuls
Full Professor
Naval electrical engineer with over fifteen years of experience in the design, integration, and operation of power and automation systems.
Dr. Nuria Llobregat
Full Professor
Dr. Nuria Llobregat
Full Professor
Specialist in meteorological and operational decision-making for coastal and offshore navigation, integrating wind, wave, and current models.
Dr. Pau Ferrer
Full Professor
Dr. Pau Ferrer
Full Professor
Naval engineer with a PhD in applied hydrodynamics and over a decade of experience designing high-performance hulls and marine structures.
Cap. Javier Abaroa (MCA)
Full Professor
Cap. Javier Abaroa (MCA)
Full Professor
MCA-certified captain with command of ocean-going vessels, specializing in advanced maneuvering, navigation management, and bridge safety.