Professional Diploma in Integrated Ship-to-Shore Technology
This professional diploma prepares you to lead digital transformation across the maritime industry by connecting ships, ports, coastal infrastructure and shore-based control centers. You will design ship-to-shore architectures, satellite, 5G and broadband links, IoT sensor networks and digital twins, apply AI and automation to navigation, port and logistics operations, integrate multimodal supply chains and protect connected systems with cybersecurity and data governance.
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What is the Professional Diploma in Integrated Ship-to-Shore Technology?
This professional diploma prepares you to lead digital transformation across the maritime industry by connecting ships, ports, coastal infrastructure and shore-based control centers. You will study the components of an integrated ship-to-shore architecture, from sensors and communications to digital platforms and control centers, and design resilient connectivity using satellite, radio, mobile and broadband links. You will also digitalize vessels and ports with fleet and traffic management systems and digital twins, build scalable IoT and edge computing architectures, apply predictive models, machine learning and remote operation, and integrate multimodal logistics with tracking, blockchain traceability and maritime single window platforms.
What sets this diploma apart: it looks at the whole connected ecosystem, linking ship, port, logistics chain and shore center, rather than at a single onboard system; it combines connectivity, IoT, data analytics and artificial intelligence in one coherent architecture; it brings in multimodal logistics and collaborative platforms so that technology serves real cargo and port flows; it treats cybersecurity, identity management, business continuity and data governance as design requirements; and it ends with a final project in which you design an integrated ship-to-shore technology solution for a shipping company, smart port or logistics chain.
Program highlights
- Whole-ecosystem view: ships, ports, coastal infrastructure and shore control centers connected as one system.
- Connectivity: satellite, radio, 5G and broadband links designed for resilience at sea.
- IoT and digital twins: sensor networks, edge computing and virtual models of ships and ports.
- AI and automation: predictive models, anomaly detection, route optimization and remote operation.
- Integrated logistics: multimodal tracking, blockchain traceability and maritime single window.
- Final project: a complete ship-to-shore technology architecture with security and implementation plans.
Syllabus of the Professional Diploma in Integrated Ship-to-Shore Technology
8 modules. Select a module to see its content.
Fundamentals of technology integration between maritime and land environments
- 1.1. Principles of hybrid technology ecosystems linking ships, ports, coastal infrastructure and shore-based operations centers
- 1.2. Evolution of maritime digitalization and the convergence of naval, port, logistics and land-based systems
- 1.3. Components of an integrated ship-to-shore architecture: sensors, communications, digital platforms, control centers and end users
- 1.4. Interaction between vessels, port terminals, logistics chains and smart transport networks
- 1.5. Benefits of technology integration for operational efficiency, safety, sustainability and decision-making
- 1.6. Technical, operational and organizational challenges of permanent ship-to-shore connectivity
- 1.7. Conceptual design of integrated technology ecosystems for smart maritime operations
- 1.8. Integration architectures between ships, ports and shore control centers
Ship-to-shore communication and connectivity systems
- 2.1. Fundamentals of maritime communications via satellite, radio, mobile networks and digital links
- 2.2. Connectivity architectures for ships, ports, offshore platforms and shore monitoring centers
- 2.3. Integrating onboard networks with shore infrastructure through secure communication systems
- 2.4. Managing bandwidth, latency, availability and connection continuity at sea
- 2.5. Applying IoT technologies to connect sensors, equipment and assets distributed between sea and shore
- 2.6. Operational information exchange systems between vessels, ports and logistics operators
- 2.7. Designing resilient networks that keep critical operations running during connectivity failures
- 2.8. Satellite communications, 5G and broadband networks
Digitalization of ships, ports and coastal infrastructure
- 3.1. Digital transformation of vessels through automation, smart sensors and connected systems
- 3.2. Port digitalization through smart terminals, automated management and collaborative platforms
- 3.3. Integrating fleet management, maritime traffic and port operations systems
- 3.4. Using digital platforms to coordinate shipping companies, ports, logistics operators and authorities
- 3.5. Automating administrative, operational and maintenance processes with connected technologies
- 3.6. Applying digital twins to represent ships, ports and entire logistics chains
- 3.7. Developing smart maritime infrastructure based on continuous data exchange
- 3.8. Digital twins of ships and ports
Internet of Things, sensors and operational data capture
- 4.1. Fundamentals of the Industrial Internet of Things applied to maritime and port systems
- 4.2. Onboard and shore sensors for monitoring position, consumption, cargo, energy and operating status
- 4.3. Integrating smart devices into ships, terminals, warehouses and logistics networks
- 4.4. Real-time data processing with edge computing platforms and distributed systems
- 4.5. Managing large volumes of data generated by connected ship-to-shore assets
- 4.6. Applying advanced analytics to optimize operations, maintenance and resource use
- 4.7. Designing scalable IoT architectures for connected maritime ecosystems
- 4.8. IoT platforms and interoperability standards
Artificial intelligence and automation of integrated operations
- 5.1. Applications of artificial intelligence in navigation, port management and logistics planning
- 5.2. Predictive models for demand forecasting, arrival times, maintenance and operational performance
- 5.3. Process automation through intelligent decision-support systems
- 5.4. Applying machine learning to detect anomalies in ships and shore infrastructure
- 5.5. Optimizing sea and land routes with integrated planning algorithms
- 5.6. Autonomous and semi-autonomous systems for coordinated operation between vessels and shore centers
- 5.7. Developing intelligent models to improve the safety, efficiency and sustainability of sea-land transport
- 5.8. Process automation and remote operation
Integrated logistics, supply chains and multimodal transport
- 6.1. Principles of integrating sea, rail, road and air transport within global supply chains
- 6.2. Digital management of goods flows from origin to destination through integrated platforms
- 6.3. Smart cargo tracking with sensors, digital identification and traceability systems
- 6.4. Coordination between ports, logistics operators, carriers and distribution centers
- 6.5. Optimizing transfer, storage, consolidation and distribution times for goods
- 6.6. Applying blockchain and distributed ledger technologies to improve transparency and traceability
- 6.7. Developing integrated logistics models geared to efficiency, visibility and lower operating costs
- 6.8. Maritime single window and collaborative platforms
Security, cyber protection and strategic management of integrated systems
- 7.1. Identifying technology risks in connected systems linking ships, ports and shore infrastructure
- 7.2. Protecting networks, IoT devices, digital platforms and operational control systems
- 7.3. Managing identities, access and protection of information shared between organizations
- 7.4. Designing technology continuity plans for failures, attacks or operational disruptions
- 7.5. Data governance, interoperability and standards for integrated maritime systems
- 7.6. Managing organizational change to implement ship-to-shore technologies in companies and public bodies
- 7.7. Developing digital transformation strategies to build connected and secure maritime ecosystems
- 7.8. Data governance and cybersecurity of integrated systems
Final Project in Integrated Ship-to-Shore Technology
- 8.1. Defining a case study based on a shipping company, smart port, logistics chain or connected coastal infrastructure
- 8.2. Diagnosis of existing systems, operational needs, technology assets and integration opportunities
- 8.3. Designing a ship-to-shore technology architecture with communications, sensors, platforms and control centers
- 8.4. Developing the operating model that brings together ships, ports, logistics and users through digital tools
- 8.5. Preparing the security, data management, operational continuity and technology scalability plan
- 8.6. Defining indicators, budget, schedule and implementation strategy for the integrated system
- 8.7. Presentation of the proposed technology architecture
- 8.8. Presentation of the final report with technical, operational, logistical and strategic review of the proposed solution
Duration and format of the Professional Diploma in Integrated Ship-to-Shore Technology
It is 800 hours. Tell us how many you can study each week and we will tell you when you will really finish.
This is the pace at which most students finish. It fits well with the installment plan.
Academic leadership and faculty
The Navalis teaching team: working professionals who teach and supervise the programs.
Dr. Marina AlcoverAcademic Director and Head of Quality Assurance
Eng. Diego CifuentesSenior Lecturer in Naval Welding and Non-Destructive Testing; Head of QA/QC for Welded Joints
Capt. Javier Abaroa (MCA)Senior Lecturer in Ship Handling, Electronic Navigation (ECDIS/Radar/ARPA) and GMDSS; STCW Compliance and Bridge Resource Management Coordinator
Dr. Pau FerrerSenior Lecturer in Naval Architecture and Simulation; Director of the Hydrodynamics and CFD Laboratory
Dr. Nuria LlobregatSenior Lecturer in Marine Meteorology, SAR and Operational Safety; Navigation Risk Management Coordinator
Eng. Javier BañulsSenior Lecturer in Electrical Engineering, Automation and ETO Engineering; Electronic Integration and Engine Alarms Coordinator
Eng. Sofía MarquinaSenior Lecturer in Materials, Composites and Corrosion Protection; Coordinator of the Advanced Paints and Coatings Line
Eng. Tomás RieraSenior Lecturer in Propulsion, Alternative Energy and Hybrid Systems; Energy Performance and Vibration CoordinatorObjectives of the Professional Diploma in Integrated Ship-to-Shore Technology
Career opportunities after the Professional Diploma in Integrated Ship-to-Shore Technology
Questions about the Professional Diploma in Integrated Ship-to-Shore Technology
Connecting ships, ports, coastal infrastructure, logistics chains and shore control centers so that they share data and coordinate operations through common communications, platforms and standards.
No. A basic understanding of sensors, communications and data analysis is enough; the program focuses on architecture, integration and decision-making rather than on writing code.
Satellite, radio, 5G and broadband connectivity, IoT and edge computing, digital twins, artificial intelligence and machine learning, blockchain traceability and maritime single window platforms.
Yes. A full module covers risks in connected systems, protection of networks and IoT devices, identity and access management, continuity plans and data governance.
Yes. The program covers multimodal transport, smart cargo tracking, coordination between ports and carriers and collaborative platforms for supply chains.
You design an integrated technology solution for a shipping company, smart port, logistics chain or coastal infrastructure, including architecture, operating model, security plan, budget and implementation schedule.
The professional diploma is taught online and comprises 800 hours of study across 8 modules of about 100 hours each, ending with a final project in which you apply what you have learned to a complete practical case.
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Admission process
No waiting for a call back. If your documents are in order, you can enroll in the same session.
- Profile: aimed at maritime and port professionals, engineers, technicians and consultants working on automation and control, project managers and decision-makers leading digitalization, logistics and supply chain specialists, and researchers interested in emerging maritime technologies. A degree in engineering, environmental sciences, geology, oceanography or a related field, or proven experience in the maritime, logistics or data management sectors, is recommended, together with a basic understanding of sensors, communications and data analysis.
- Language: sufficient command of English to follow the classes and the technical documentation.
- Technical resources: a computer with a stable broadband connection, an up-to-date browser, a camera and microphone for live sessions, and data visualization software such as a desktop GIS.
- Admission: enrollment is open all year round; online application, review of your profile and a short interview with the academic team.
- 01ApplicationYour details, background and documents.
- 02Instant reviewWe check that everything is complete and in order.
- 03EnrollmentChoose full payment or instalments and reserve your place.
Admission is provisional until the committee validates the documents provided. If you do not meet the requirements, the full amount is refunded.
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Leave your details and admissions will write to you to answer any questions. If you are already sure, you can apply and pay in the same session.