Master's in Container Terminal Engineering
This master's gives you specialized training in the design, management and optimization of container terminals. You will learn to size and lay out a terminal, select and dimension STS, RTG, RMG and ASC cranes, straddle carriers and AGVs, design quays, yard pavements, gates, reefer and dangerous goods areas, simulate operations and remove bottlenecks, implement terminal operating systems, industrial IoT, SCADA, predictive maintenance and OT cybersecurity, plan multimodal port-rail-road flows, and apply Lean Six Sigma, energy management and sustainability criteria to run efficient, resilient terminals.
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What is the Master's in Container Terminal Engineering?
This master's covers the container terminal from the drawing board to daily operation. You will start with terminal design fundamentals, demand and capacity analysis and operational simulation; move on to automation with PLC, SCADA, IoT, RFID, 5G, AGVs and automated cranes; study sustainable terminal design, renewable energy, water and waste management and digital twins; work with terminal operating systems (TOS), industrial IoT, predictive maintenance, high availability and cybersecurity under IEC 62443 and the NIST framework; plan multimodal flows and port-rail-road integration; apply Lean Six Sigma, AI-based berth and yard planning and computer vision; and finish with the civil engineering and equipment of the terminal, from crane types and quay loads to yard pavements, drainage, electrification, gates, reefer areas, workshops and terminal expansion.
What sets this master's apart: rather than staying at the level of port management, it goes into the engineering decisions that determine a terminal's performance, such as layout, equipment selection and sizing, pavements, power supply and control architecture, and links them to simulation, automation and data; and in the Final Project you design an integrated automation, sustainability and management system for a container terminal aimed at maximizing efficiency and operational resilience.
Program highlights
- Terminal design: demand and capacity analysis, modular layout, quays, yard pavements, drainage, gates and reefer and dangerous goods areas.
- Handling equipment: STS, RTG, RMG and automated stacking cranes, straddle carriers and AGVs, with sizing criteria and electrification.
- Simulation and optimization of terminal operations, bottleneck analysis, Lean Six Sigma and AI-based berth, yard and dispatch planning.
- Terminal operating systems (TOS), industrial IoT, SCADA, RFID, computer vision and integration with ERP and logistics platforms.
- Predictive maintenance, high availability, redundancy and OT cybersecurity under IEC 62443 and the NIST Cybersecurity Framework.
- Multimodal port-rail-road flows, energy management, renewable energy, emission reduction and sustainability certification of terminals.
Syllabus of the Master's in Container Terminal Engineering
11 modules. Select a module to see its content.
Advanced design and operational optimization of smart port terminals
- 1.1. Fundamentals of container terminal design: demand analysis, infrastructure capacity and modular design criteria
- 1.2. Advanced operational simulation models: optimization techniques using traffic flow and cargo handling simulators
- 1.3. Integration of IoT and big data technologies for real-time management of resources and assets in port terminals
- 1.4. Design and assessment of automated container handling systems: automated RTG and STS cranes and autonomous vehicles
- 1.5. Spatial layout strategies and port urban planning to improve operational efficiency and reduce cycle times
- 1.6. Optimizing the internal logistics chain: coordination between storage, transport and consolidation areas using advanced analytics tools
- 1.7. Applying artificial intelligence and machine learning to forecast maritime and land traffic flows for dynamic terminal planning
- 1.8. Environmental impact and sustainability assessment methods in the design of smart terminals, including emission reduction and energy management
- 1.9. Advanced integrated control and monitoring systems (SCADA) for continuous supervision and proactive response to operational contingencies
- 1.10. Comparative analysis of emerging technologies: blockchain for logistics traceability, digital twins for simulation and augmented reality for predictive maintenance
Disruptive technologies applied to automation and sustainability in container terminals
- 2.1. Fundamentals of automation in container terminals: principles, levels and technology integration models
- 2.2. Artificial intelligence and machine learning: applications to optimize operational flows and forecast demand in terminals
- 2.3. Advanced control systems: PLC, SCADA and IoT for real-time management and monitoring of port equipment and processes
- 2.4. Robotics and autonomous vehicles: design, implementation and maintenance of automated guided vehicles (AGVs) in loading and unloading operations
- 2.5. Sensor and wireless communication technologies: RFID, 5G and IoT networks for tracking and controlling containers
- 2.6. Big data and predictive analytics for strategic decisions aimed at reducing waiting times and maximizing operational efficiency
- 2.7. Implementing flexible and modular automation systems: advantages, challenges and success stories from leading terminals worldwide
- 2.8. Sustainability and energy efficiency: integrating renewable energy, reducing CO2 emissions and managing resources responsibly in automated terminals
- 2.9. International regulations and technology standards applicable to automation and sustainability in port terminals
- 2.10. Change management and technology training: strategies for the efficient adoption of disruptive technologies by operational and management staff
Innovation and sustainability in the design and operation of smart port terminals
- 3.1. Fundamentals of sustainable design in port terminals: environmental, social and economic criteria
- 3.2. Technological innovation applied to terminal automation: AGV systems, automated RTGs and smart cranes
- 3.3. Digitalization and digital twins: advanced simulation for optimization and predictive maintenance
- 3.4. Implementing renewable energy in terminals: integrating solar panels, wind turbines and energy recovery systems
- 3.5. Smart management of water resources and waste: technologies for recycling, water treatment and minimizing effluents
- 3.6. Advanced energy management systems: real-time monitoring, energy storage and carbon footprint reduction
- 3.7. Green infrastructure and its impact on operational efficiency: biophilic design, mitigation of heat islands and microclimate improvement
- 3.8. Big data and predictive analytics in port operations: flow optimization, condition-based maintenance and reduction of idle time
- 3.9. Integrating IoT systems and smart sensors: environmental control, security and internal traffic management
- 3.10. Assessment and certification of sustainable port terminals: international standards, key performance indicators and sustainability audits
Integrated management and control systems in automated terminals (TOS, industrial IoT, predictive maintenance and cybersecurity for high operational availability)
- 4.1. Fundamentals and architecture of terminal operating systems (TOS): design, key modules and scalability in automated terminals
- 4.2. Integrating industrial IoT into port infrastructure: smart sensors, communication protocols (MQTT, OPC UA) and 5G networks for real-time monitoring
- 4.3. Implementing predictive maintenance based on big data and machine learning: vibration analysis, thermography and condition sensors to optimize equipment life cycles
- 4.4. Advanced analytics platforms to predict operational failures and reduce downtime in container handling systems
- 4.5. Cybersecurity architecture in container terminals: defense-in-depth strategies, industrial network segmentation and digital identity management
- 4.6. International regulations and security standards for industrial systems (IEC 62443, NIST Cybersecurity Framework) applicable to automated terminals
- 4.7. Real-time monitoring and control of operations through integrated dashboards and SCADA protocols adapted to port environments
- 4.8. Optimizing operational availability through redundancy of critical systems, load balancing and technology disaster recovery
- 4.9. Integrating TOS with ERP, CRM and logistics platforms for end-to-end automation and traceability of the multimodal supply chain
- 4.10. Advanced case studies and incident simulations in automated terminals: responding to cyber threats and technology failures
Strategic planning and analysis of multimodal flows in smart port terminals
- 5.1. Fundamentals of strategic planning in port terminals: setting objectives, situational analysis and formulating operational strategies
- 5.2. Advanced methods for analyzing multimodal flows: traffic assessment, identification of bottlenecks and calculation of operational capacity
- 5.3. Implementing smart technologies for integrated terminal management: IoT sensors, big data and predictive analytics platforms
- 5.4. Modeling and simulation of multimodal logistics chains: port-rail-road integration and optimization of transit times
- 5.5. Design and planning of port infrastructure adapted to dynamic demand: storage areas, quays, access roads and intermodal connections
- 5.6. Managing digital terminals: control systems, process automation and real-time monitoring with SCADA and WMS
- 5.7. Risk and contingency analysis in multimodal flows: quantitative methods to identify vulnerabilities and mitigation strategies
- 5.8. International regulations and standards for planning and operating smart terminals: ISO 28000, IAPH guidance and the IMDG Code
- 5.9. Key performance indicators (KPIs) for operational efficiency and environmental sustainability in smart port terminals
- 5.10. Case studies and global benchmarking of strategic planning and multimodal flows in state-of-the-art terminals
Innovation, automation and sustainability in the integrated management of container terminals
- 6.1. Principles of technological innovation applied to container terminals: current and future trends in port infrastructure
- 6.2. Automation in terminals: automated stacking systems, automated guided vehicles (AGVs) and smart cranes
- 6.3. Integrating IoT and big data technologies for real-time monitoring and operational optimization
- 6.4. Artificial intelligence and machine learning: demand forecasting, cargo management and logistics optimization
- 6.5. Design and application of SCADA systems for integrated control of port processes
- 6.6. Environmental sustainability strategies in terminals: renewable energy, emission reduction and waste management
- 6.7. International regulations and certifications on sustainability and energy efficiency applied to container terminals
- 6.8. Implementing circular economy models and corporate social responsibility (CSR) practices in the port logistics chain
- 6.9. Advanced simulation and digital twins: tools for efficient terminal planning and operation
- 6.10. Environmental impact assessment and management: mitigation measures and environmental audits under global and local regulation
Technological innovation, sustainability and advanced management in smart port terminals
- 7.1. Current and future landscape of technological innovation in container terminals: trends, challenges and opportunities
- 7.2. Implementing advanced automation systems: automated guided vehicles (AGVs), smart cranes and collaborative robotics
- 7.3. Integrating Internet of Things (IoT) technologies for real-time monitoring of operations and assets
- 7.4. Big data and predictive analytics applied to logistics management, predictive maintenance and optimization of container flows
- 7.5. Digital platforms and digital twins for simulation, planning and strategic decision-making
- 7.6. Advanced environmental management systems to minimize the carbon footprint and comply with international regulations
- 7.7. Strategies and technologies for sustainable energy in terminals: renewable energy integration, electrification and efficient use of resources
- 7.8. Applying blockchain to traceability and security in the port supply chain
- 7.9. Advanced management of operational risks and cybersecurity in smart terminals
- 7.10. Advanced integrated terminal management models based on artificial intelligence, machine learning and autonomous decision-making
Integrated optimization and advanced automation in smart container terminals
- 8.1. Fundamentals of integrated optimization in port terminals: process analysis, identification of bottlenecks and Lean Six Sigma methods applied to container operations
- 8.2. Design and architecture of advanced automation systems: PLC, SCADA and distributed systems in terminal management
- 8.3. Advanced modeling and simulation of terminal operations: digital tools to forecast flows, cycle times and resource allocation
- 8.4. Implementing the industrial Internet of Things (IIoT) for real-time monitoring of heavy machinery, port cranes and container transfer equipment
- 8.5. Applying artificial intelligence and machine learning to the dynamic optimization of berth, yard and dispatch planning
- 8.6. Integrating automated stacking cranes (ASC) and autonomous vehicles into the terminal logistics chain: parameters, protocols and technical challenges
- 8.7. Developing digital platforms for integrated management of smart terminals: interoperability, APIs and international standards
- 8.8. Advanced inventory control and traceability systems using RFID and computer vision applied to container handling
- 8.9. Energy optimization and sustainability in automated operation: consumption analysis, clean energy and design of eco-efficient terminals
- 8.10. Cybersecurity and resilience strategies in digitalized port environments: data protection, access control and defense against cyberattacks
Innovation, automation and sustainability in the planning and integrated management of smart port terminals
- 9.1. Fundamentals of technological innovation applied to port terminals: global trends and analysis of success stories
- 9.2. Advanced automation in port operations: terminal operating systems (TOS), automated cranes and automated guided vehicles (AGVs)
- 9.3. Integrating IoT and big data technologies for real-time monitoring of container flows and operational resources
- 9.4. Design and application of digital twins for simulation and continuous optimization of smart port processes
- 9.5. Environmental sustainability strategies: life cycle assessment, carbon neutrality and emission reduction in port operations
- 9.6. Efficient management of energy resources: use of renewable energy and energy storage systems in terminals
- 9.7. Integrated planning based on predictive analytics to reduce operating costs and improve productivity
- 9.8. Cybersecurity protocols in automated terminals: protection against threats and operational continuity
- 9.9. International regulations and certifications related to sustainability and automation in container terminals
- 9.10. Implementing smart port logistics systems: interoperability, blockchain and traceability in the supply chain
Design of equipment, infrastructure and civil works for container terminals
- 10.1. Types of cranes: STS, RTG, RMG and straddle carriers
- 10.2. Sizing cranes and equipment
- 10.3. Quay design and loads on pavements
- 10.4. Yard pavements and drainage
- 10.5. Electrical installations and equipment electrification
- 10.6. Access gates and automated control
- 10.7. Reefer and dangerous goods areas
- 10.8. Workshops and terminal buildings
- 10.9. Expanding existing terminals
- 10.10. Terminal layout project
Final Project
- 11.1. Conceptual design and theoretical foundations of the integrated automation system for container terminals: analysis of operational and regulatory requirements
- 11.2. Implementing IoT (Internet of Things) technologies for real-time monitoring of handling and storage equipment in the terminal
- 11.3. Integrating SCADA (supervisory control and data acquisition) systems for centralized supervision and control of port operations
- 11.4. Developing logistics optimization algorithms based on artificial intelligence and machine learning for dynamic management of container flows
- 11.5. Industrial network architectures and communication protocols: OPC UA, Modbus TCP/IP and 5G networks to ensure low latency and high availability
- 11.6. Applying computer vision systems and LiDAR sensors to automate stacking and precise positioning of containers
- 11.7. Designing predictive maintenance strategies through data analysis and failure models to maximize machinery availability
- 11.8. Implementing sustainable energy management systems: integrating renewable sources and optimizing consumption in the facilities
- 11.9. Environmental impact assessment and mitigation strategies to reduce emissions and the carbon footprint of automated terminals
- 11.10. Developing advanced cybersecurity protocols to protect critical infrastructure from attacks and ensure the integrity of information
Duration and format of the Master's in Container Terminal Engineering
It is 1,500 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 Master's in Container Terminal Engineering
Career opportunities after the Master's in Container Terminal Engineering
Questions about the Master's in Container Terminal Engineering
The engineering of container terminals: layout and capacity, handling equipment, quays, pavements and civil works, simulation, automation, terminal operating systems, maintenance, cybersecurity, multimodal flows and sustainability.
STS, RTG, RMG and automated stacking cranes, straddle carriers, reach stackers and AGVs, as well as quays, yard pavements and drainage, electrical installations, gates, reefer and dangerous goods areas, workshops and terminal buildings.
Operations are covered, but the focus is on engineering decisions: sizing equipment, designing the layout and civil works, defining the control and network architecture and planning terminal expansion, all supported by simulation and data.
An engineering background helps, but graduates in logistics, maritime transport or business and port professionals with operational experience can also join; the admission interview helps confirm that your profile fits.
Yes. You model terminal operations to analyze capacity and bottlenecks and study PLC, SCADA, TOS, industrial IoT protocols such as MQTT and OPC UA, RFID, computer vision and digital twins.
Yes. You study defense-in-depth architectures, industrial network segmentation, identity management, IEC 62443 and the NIST Cybersecurity Framework, and you work through incident simulations in automated terminals.
Through simulations, case studies and practical exercises in each module, including a terminal layout project, and a Final Project in which you design an integrated automation, sustainability and management system for a container terminal.
A master's degree issued by Navalis Institute as its own qualification, together with the layouts, simulations and technical reports you produce during the program, which you can use as a professional portfolio.
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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 civil and naval engineers, graduates in logistics, maritime transport and business administration, port industry professionals such as operators, planners and consultants, safety and environment managers, and investors and developers who want to understand the terminal business; a degree in industrial or civil engineering, port and coastal engineering or a related field, or demonstrable professional experience in port operations, logistics or terminal management, is recommended.
- Language: sufficient command of English to follow the classes and the technical documentation.
- Technical resources: a computer with camera and microphone and a stable internet connection, able to run software for viewing drawings and running simulations.
- Admission: 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.
Ask us before you enroll
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.