Course on Technology Applied to Ports
Why this course?
The Applied Technology for Ports Course
Immerse yourself in the digital transformation of the maritime-port sector. Learn to optimize operations, improve safety, and reduce environmental impact through the implementation of cutting-edge technological solutions. Master everything from Internet of Things (IoT) and Artificial Intelligence (AI) to Big Data and automation, preparing you to lead innovation in the future of ports.
Differential Advantages
- Real-world case studies: analysis of successful implementations in leading ports worldwide.
- Industry experts: professors with extensive experience in applying technology in port environments.
- Networking: opportunities to connect with professionals and innovative companies in the sector.
- Tools and software: access to platforms and simulators for experimentation and hands-on learning.
- Strategic approach: development of skills for planning and implementing technology projects.
Who is it aimed at?
- Port administrators and operations managers seeking to optimize efficiency, safety, and sustainability through the adoption of new technologies.
- Port engineers and consultants wishing to update their knowledge of the latest innovations in smart infrastructure, automation, and digitalization.
- Technology providers and startups seeking to understand the specific needs and challenges of the port sector to develop innovative solutions.
- Students and young professionals in engineering, logistics, and port management fields interested in gaining a competitive edge in the job market.
- Port authorities and regulators needing to understand the impact of technology on risk management, maritime safety, and environmental protection.
Flexibility and Applicability
Designed for professionals with demanding schedules: Asynchronous content available 24/7, practical case studies and direct connection with industry experts.
Objectives and competencies

Optimize port logistics management:
“Implement inventory management and route optimization systems to minimize waiting times and transportation costs, maximizing efficiency in the flow of goods.”

Implement advanced port security systems:
Integrate cutting-edge technologies (radars, CCTV, biometrics) for proactive threat detection and coordinated response with competent authorities.

Efficiently manage port information:
Implement a secure, digitized document management system that facilitates quick access to relevant information for each role, complying with data protection regulations and port quality standards.

Automating port operational processes:
“Implement RPA and AI technologies to optimize document management, resource planning, and logistics coordination.”

Developing technological solutions for port sustainability:
Implement real-time energy monitoring systems and optimize consumption using artificial intelligence algorithms, reducing the port’s carbon footprint and operating costs.

Analyzing port data for strategic decision-making:
Identify trends in cargo volumes, transit times, and operational efficiency to optimize port resources and investments.
Curriculum - Modules
1.1 Evolution from Traditional to Smart Ports: Operational Drivers, Digital Maturity, and Sector-Specific Reference Models
1.2 End-to-End Port Technology Architecture: OT/IT, Edge Computing, Hybrid Cloud, and Design Criteria for High Availability
1.3 Integration of Core Systems: TOS, PCS, VTS, SCADA/EMS, and Enterprise Platforms via Service-Oriented Approaches
1.4 Data Management as a Port Asset: Governance, Quality, Lineage, Catalogs, and Standardization for Analytical Exploitation
1.5 Interoperability and Standards: APIs, Messaging, Data Models, and Compatibility with Extended Logistics Communities
1.6 Digital Roadmap and Portfolio: Value-Based Prioritization, Change Management, and Realization of Operational Benefits
2.1 Fundamentals of Terminal Automation: Control Levels, Control Loops, Alarms, and Safe Operational Strategies
2.2 Sensors and Instrumentation: Measurement of Flow, Level, Pressure, Energy, Vibration, and Environmental Variables—Incorporating Metrological Criteria
2.3 PLC/SCADA in Port Infrastructure: Screen Design, Alarms, Data Historization, and Operation Under Contingency Conditions
2.4 Electrification and Power Systems: Power Quality, Protection Systems, Service Continuity, and Real-Time Monitoring
2.5 Automation of Critical Equipment and Assets: Cranes, Gates, Scales, Conveyors, and Mooring Systems—Featuring Predictive Diagnostics
2.6 Condition-Based Maintenance: Failure Analysis, Reliability Engineering, Basic RCM, and Digital Planning of Maintenance Interventions
3.1 IoT Solution Design for Ports: Selection of Sensors, Gateways, Connectivity, and Scalable Deployment Strategies
3.2 Networks and Communications: Industrial Wi-Fi, 4G/5G, LPWAN, Fiber, and Coverage Criteria in Complex Environments
3.3 Traceability and Tracking: Containers, Equipment, Vehicles, and Personnel using RFID, UWB, GNSS, and Hybrid Techniques
3.4 IoT Platforms and Device Management: Inventory, Updates, Telemetry, Event Rules, and Operational Observability
3.5 Infrastructure and Operations Digital Twins: Modeling, Real-time Data Synchronization, and Simulation for Tactical Planning
3.6 Dashboards and Alerts: Operational KPIs, Dynamic Thresholds, Event Correlation, and Incident Management
4.1 Fundamentals of Port Analytics: Indicators, Time Series, Operations Segmentation, and Data Quality for Modeling
4.2 Demand and Capacity Forecasting: ETA/ETD, Berth Occupancy, Yard Density, and Advanced Resource Planning
4.3 Allocation Optimization: Berths, Cranes, Yards, Shifts, and Internal Routes using Optimization Approaches and Heuristics
4.4 Anomaly and Risk Detection: Operational Patterns, Incipient Failures, Congestion, and Safety Deviations
4.5 Applied Computer Vision: License Plate/Container Recognition, Access Control, PPE Detection, and Intelligent Surveillance
4.6 Operational Model Governance: Validation, Drift Detection, Explainability, Auditing, and Human-Assisted Decision-Making
5.1 Port Threat Landscape: OT/IT Attack Surface, Digital Supply Chains, and Operational Impact Scenarios
5.2 Segmentation and Secure Architecture: Zones and Conduits, Microsegmentation, Industrial DMZ, and Access Control
5.3 Identity and Privilege Management: MFA, PAM, Operational Roles, and Critical Action Traceability
5.4 Monitoring and Response: SIEM/SOC, OT Detection, Playbooks, Containment, and Recovery with Minimal Disruption
5.5 Vulnerability Management and Hardening: Asset Inventory, Patching, Secure Configuration, and Controlled Testing in Production
5.6 Operational Continuity: Backups, Redundancy, Contingency Plans, Drills, and Post-Incident Lessons Learned
6.1 Port Decarbonization Strategies: Footprint Measurement, Reduction Plans, and Verifiable Performance Metrics
6.2 Smart Energy Management: EMS, Consumption Optimization, Demand Peak Management, and Efficiency in Critical Infrastructure
6.3 Electrification and OPS (Cold Ironing): Technical Requirements, Integration, Safe Operation, and Electrical Capacity Management
6.4 Digital Environmental Monitoring: Air Quality, Noise, Water, and Waste—Featuring Traceability and Automated Reporting
6.5 Compliance and Operational Auditing: Technical Documentation, Evidence Management, Traceability, and Critical Process Control
6.6 Applied Integrative Project: Design of a Port Technology Solution—Including KPIs, Architecture, Risk Assessment, and Implementation Plan
Plan de estudio - MĂłdulos
1.1 Evolution from Traditional to Smart Ports: Operational Drivers, Digital Maturity, and Sector-Specific Reference Models
1.2 End-to-End Port Technology Architecture: OT/IT, Edge Computing, Hybrid Cloud, and Design Criteria for High Availability
1.3 Integration of Core Systems: TOS, PCS, VTS, SCADA/EMS, and Enterprise Platforms via Service-Oriented Approaches
1.4 Data Management as a Port Asset: Governance, Quality, Lineage, Catalogs, and Standardization for Analytical Exploitation
1.5 Interoperability and Standards: APIs, Messaging, Data Models, and Compatibility with Extended Logistics Communities
1.6 Digital Roadmap and Portfolio: Value-Based Prioritization, Change Management, and Realization of Operational Benefits
2.1 Fundamentals of Terminal Automation: Control Levels, Control Loops, Alarms, and Safe Operational Strategies
2.2 Sensors and Instrumentation: Measurement of Flow, Level, Pressure, Energy, Vibration, and Environmental Variables—Incorporating Metrological Criteria
2.3 PLC/SCADA in Port Infrastructure: Screen Design, Alarms, Data Historization, and Operation Under Contingency Conditions
2.4 Electrification and Power Systems: Power Quality, Protection Systems, Service Continuity, and Real-Time Monitoring
2.5 Automation of Critical Equipment and Assets: Cranes, Gates, Scales, Conveyors, and Mooring Systems—Featuring Predictive Diagnostics
2.6 Condition-Based Maintenance: Failure Analysis, Reliability Engineering, Basic RCM, and Digital Planning of Maintenance Interventions
3.1 IoT Solution Design for Ports: Selection of Sensors, Gateways, Connectivity, and Scalable Deployment Strategies
3.2 Networks and Communications: Industrial Wi-Fi, 4G/5G, LPWAN, Fiber, and Coverage Criteria in Complex Environments
3.3 Traceability and Tracking: Containers, Equipment, Vehicles, and Personnel using RFID, UWB, GNSS, and Hybrid Techniques
3.4 IoT Platforms and Device Management: Inventory, Updates, Telemetry, Event Rules, and Operational Observability
3.5 Infrastructure and Operations Digital Twins: Modeling, Real-time Data Synchronization, and Simulation for Tactical Planning
3.6 Dashboards and Alerts: Operational KPIs, Dynamic Thresholds, Event Correlation, and Incident Management
4.1 Fundamentals of Port Analytics: Indicators, Time Series, Operations Segmentation, and Data Quality for Modeling
4.2 Demand and Capacity Forecasting: ETA/ETD, Berth Occupancy, Yard Density, and Advanced Resource Planning
4.3 Allocation Optimization: Berths, Cranes, Yards, Shifts, and Internal Routes using Optimization Approaches and Heuristics
4.4 Anomaly and Risk Detection: Operational Patterns, Incipient Failures, Congestion, and Safety Deviations
4.5 Applied Computer Vision: License Plate/Container Recognition, Access Control, PPE Detection, and Intelligent Surveillance
4.6 Operational Model Governance: Validation, Drift Detection, Explainability, Auditing, and Human-Assisted Decision-Making
5.1 Port Threat Landscape: OT/IT Attack Surface, Digital Supply Chains, and Operational Impact Scenarios
5.2 Segmentation and Secure Architecture: Zones and Conduits, Microsegmentation, Industrial DMZ, and Access Control
5.3 Identity and Privilege Management: MFA, PAM, Operational Roles, and Critical Action Traceability
5.4 Monitoring and Response: SIEM/SOC, OT Detection, Playbooks, Containment, and Recovery with Minimal Disruption
5.5 Vulnerability Management and Hardening: Asset Inventory, Patching, Secure Configuration, and Controlled Testing in Production
5.6 Operational Continuity: Backups, Redundancy, Contingency Plans, Drills, and Post-Incident Lessons Learned
6.1 Port Decarbonization Strategies: Footprint Measurement, Reduction Plans, and Verifiable Performance Metrics
6.2 Smart Energy Management: EMS, Consumption Optimization, Demand Peak Management, and Efficiency in Critical Infrastructure
6.3 Electrification and OPS (Cold Ironing): Technical Requirements, Integration, Safe Operation, and Electrical Capacity Management
6.4 Digital Environmental Monitoring: Air Quality, Noise, Water, and Waste—Featuring Traceability and Automated Reporting
6.5 Compliance and Operational Auditing: Technical Documentation, Evidence Management, Traceability, and Critical Process Control
6.6 Applied Integrative Project: Design of a Port Technology Solution—Including KPIs, Architecture, Risk Assessment, and Implementation Plan
Career opportunities
- Port Operations Technician: Cargo management, process optimization, and resource coordination.
- Port Logistics Specialist: Supply chain planning, inventory management, and multimodal transport.
- Port Data Analyst: Data collection and analysis for efficiency improvement and decision-making.
- Port Software Developer: Design and development of applications for port management, security, and automation.
- Port Technology Consultant: Advising on the implementation of new technologies and process optimization.
- Port Security Specialist: Implementation of physical and cybersecurity measures to protect facilities and information.
- Port Technology Project Manager: Planning and Implementation of innovation and modernization projects for port infrastructure.Port Technology Researcher: Development of new technologies and solutions for the challenges of the port sector.“`
Admission requirements

Academic/professional profile:
Degree/Bachelor's degree in Nautical Science/Maritime Transport, Naval/Marine Engineering, or a related field; or proven professional experience in bridge/operations.

Language proficiency:
Recommended functional maritime English (SMCP) for simulations and technical materials.

5. Induction
Updated resume, copy of degree or seaman's book, ID card/passport, letter of motivation.

Technical requirements (for online):
Equipment with camera/microphone, stable connection, ≥ 24” monitor recommended for ECDIS/Radar-ARPA.
Admission process and dates

1. Online
application
(form + documents).

2. Academic review and interview
(profile/objectives/schedule compatibility).

3. Admission decision
(+ scholarship proposal if applicable).

4. Reservation of place
(deposit) and registration.

5. Induction
(access to campus, calendars, simulator guides).
Scholarships and grants
- Optimize port management: Master the latest technologies for automation, data analytics, and security.
- Improve operational efficiency: Learn to implement IoT, blockchain, and artificial intelligence solutions in the port environment.
- Increase competitiveness: Acquire skills for data-driven decision-making and resource optimization.
- Professional certification: Gain recognition that validates your knowledge and experience in applying technology in ports.
- Strategic networking: Connect with industry experts and expand your professional network.
Testimonials
I implemented an AI-based container management system that optimized workflow by 30%, reducing vessel waiting times and increasing the port’s cargo handling capacity.
My training in Port and Marina Management provided me with the tools and knowledge necessary to optimize operations at my marina. I implemented a new mooring management system that increased occupancy by 15% and customer satisfaction by 20% in the first quarter.
I implemented an IoT-based container management system that optimized cargo flow by 30%, reducing vessel waiting times and improving overall port efficiency.
I implemented an AI-based container management system that optimized cargo flow by 30%, reducing vessel waiting times and increasing port capacity.
Frequently asked questions
Greater efficiency and productivity in operations, reducing waiting times, costs and risks.
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.
Greater efficiency and productivity in port operations, reducing waiting times, costs and risks.
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.
Request information
- Complete the Application Form
- Attach your CV/Qualifications (if you have them to hand).
- Indicate your preferred cohort (January/May/September) and whether you want the hybrid option with simulator sessions.
Teachers
Eng. Tomás Riera
Full Professor
Eng. Tomás Riera
Full Professor
Eng. SofĂa Marquina
Full Professor
Eng. SofĂa Marquina
Full Professor
Eng. Javier Bañuls
Full Professor
Eng. Javier Bañuls
Full Professor
Dr. Nuria Llobregat
Full Professor
Dr. Nuria Llobregat
Full Professor
Dr. Pau Ferrer
Full Professor
Dr. Pau Ferrer
Full Professor
Cap. Javier Abaroa (MCA)
Full Professor
Cap. Javier Abaroa (MCA)
Full Professor