Master’s Degree in Multimodal Maritime-Land-Air Transport
Why this master’s programme?
The Master’s Degree in Multimodal Maritime-Land-Air Transport
This program prepares you to lead the comprehensive management of complex logistics chains. Master the most efficient intermodal strategies, from optimized route planning to coordination of operations in ports, terminals, and airports. Learn to manage risks, optimize costs, and apply the latest tracking and traceability technologies to ensure the efficiency and profitability of your operations.
Differential Advantages
- 360° View of Multimodal Transport: integrate maritime, land, and air modes into a coherent strategy.
- Logistics Optimization Tools: master specialized software for planning, simulating, and managing supply chains.
- Risk and Insurance Management in Transport: learn to identify, assess, and mitigate the risks inherent in multimodal transport.
- International Legal and Regulatory Framework: understand the laws and regulations governing multimodal transport globally.
- Networking Strategic: Connect with leading professionals in the sector and build valuable relationships for your career.
- Modality: Online
- Level: Masters
- Hours: 1600 H
- Start date:
Availability: 1 in stock
Who is it aimed at?
- Logistics professionals seeking a comprehensive view of freight transport.
- Executives and managers who need to optimize the supply chain and reduce costs.
- International trade managers who want to master regulations and customs procedures.
- Engineers and technicians who wish to specialize in infrastructure planning and management.
- Graduates in Business Administration, Economics, or Engineering seeking a career in transport and logistics.
Flexibility and practical approach
Designed for working professionals: online methodology, real-world case studies, and networking with industry experts.
Objectives and skills
Optimize the comprehensive management of the multimodal supply chain:
“Selecting efficient routes considering costs, transit times and risks, integrating tracking and optimization technologies.”
Master the legislation and regulations of national and international multimodal transport:
“Interpret and apply international conventions (CMR, CIM, COTIF) and customs legislation to optimize the supply chain and mitigate legal risks.”
Design efficient and cost-effective multimodal transport strategies:
“Analyze and optimize the entire logistics chain, from origin to final destination, considering costs, times and risks associated with each mode of transport.”
Efficiently manage documentation and customs procedures in multimodal operations:
“With precision and adherence to current regulations (INCOTERMS, tariffs, AEO), optimizing logistics times and costs.”
Assess and mitigate risks inherent in multimodal transport operations:
“Identify critical cargo transfer points, implement security protocols, and verify regulatory compliance in each mode of transport.”
Leading and coordinating multidisciplinary teams in multimodal transport projects:
Establish clear communication channels and collaboration protocols between different specialists, ensuring alignment with project objectives and efficient resource management.
Study plan – Modules
- Fundamentals of the multimodal logistics chain: components, actors, and intermodal flows
- Design and strategic planning: optimal selection of routes, modes of transport, and logistics nodes
- Advanced analysis of costs and times: modeling of economic variables, uncertainty, and traffic scenarios
- Application of emerging technologies: IoT, Big Data, and information systems for real-time visibility
- Optimization of integrated inventory management and its impact on the efficiency of multimodal transport
- Evaluation and minimization of environmental impact: carbon footprint tools, emissions, and sustainability strategies
- International standards and specific regulations for maritime, land, and air transport
- Simulation models and algorithms for resolving bottlenecks and operational contingencies
- Risk and Security Management in Multimodal Logistics Chains: Protocols, Insurance, and Crisis Management
- Integrated Study of Real-World Case Studies, Benchmarking, and Analysis of Best Practices in Advanced Multimodal Logistics
- Fundamentals of Multimodal Logistics Networks: definition, structures, and integrated operating models in maritime, land, and air transport
- Advanced Supply Chain Design: analysis of goods flows, intermodal interfaces, and criteria for selecting optimal routes
- Simulation and Modeling Tools for Logistics Network Planning: algorithms, specialized software, and practical applications
- Integration of intelligent information systems (TMS, WMS, ERP) for efficient coordination among multimodal operators
- Implementation of IoT technologies and smart sensors for real-time monitoring of assets and transport conditions
- Big Data and advanced analytics applied to transport optimization: demand forecasting, capacity management, and reduction of operating costs
- Automation and robotics in logistics management: autonomous vehicles, drones, and automated machinery in ports, warehouses, and intermodal terminals
- Design and implementation of sustainability policies and Energy efficiency in multimodal logistics networks
Risk management and resilience in logistics networks: vulnerability identification, contingency plans, and incident response protocols
International regulations and compliance for multimodal transport: customs regulations, security, and environmental standards
Collaborative optimization through digital platforms: blockchain, smart contracts, and shared governance models
Analysis of case studies and benchmarking of leading multimodal logistics networks globally
Advanced methodologies for decision-making based on artificial intelligence and machine learning applied to multimodal transport
Implementation of end-to-end visibility systems and integrated traceability in complex supply chains
Evaluation of the economic and social impact of multimodal logistics optimization in key sectors and international markets
- Fundamentals of Technological Integration in Multimodal Logistics Systems: Concepts, Components, and Architecture
- Analysis of Digital Platforms for Logistics Management: TMS, WMS, and SCM with a Focus on Intermodality
- Implementation of IoT and Big Data in the Monitoring and Traceability of Goods along Maritime-Land-Air Supply Chains
- Automation and Robotics: Impact on Port Terminals, Logistics Hubs, and Multimodal Distribution Centers
- Advanced Communication and Control Systems: RFID, Blockchain, and 5G Technologies Applied to Logistics Operations
- Strategies for Energy Optimization and Carbon Emission Reduction in Multimodal Transport
- International Regulations and ISO Standards Relevant to Sustainability in Global Logistics Chains
- Life Cycle Assessment and Environmental Impact Analysis in the Design and Operation of Multimodal Routes
- Models Predictive models and simulations for efficient resource management and mitigation of ecological risks.
Case studies: Sustainable technological integration in global logistics networks and emerging trends.
- Comprehensive design of intermodal logistics corridors: selection criteria, multi-criteria evaluation, and simulation models for flow optimization
- Key infrastructure for multimodality: seaports, land terminals, airports, intermodal connections, and their impact on operational efficiency
- International regulations and standards applied to the construction and operation of multimodal logistics infrastructure
- Security in logistics corridors: physical surveillance systems, remote monitoring technologies, and risk management protocols in maritime-land-air environments
- Advanced management of multimodal fleets: dynamic planning, predictive maintenance, asset management, and route optimization using artificial intelligence
- Digital systems for operational efficiency: integration of IoT, blockchain, big data, and TMS/WMS platforms adapted to multimodal operations
- Automation and digitization of processes in logistics nodes: smart ports, automated land hubs and air distribution centers
Supply chain management models resilient to contingencies and fluctuations in global supply and demand
Analysis of KPI indicators for evaluating operational performance and strategic decision-making in multimodal corridors
Case studies and international best practices in the design and operation of multimodal corridors integrating maritime, land, and air transport
Technological innovations and future trends in multimodal logistics: autonomous vehicles, last-mile drones, and collaborative transport systems
Environmental impact and sustainability in the development of logistics corridors: carbon footprint assessment and strategies for emissions reduction
Governance and collaborative models: public-private partnerships for intermodal logistics infrastructure and innovative financing mechanisms
Compliance and customs regulation in the context of multinational operations and complex intermodal flows
Simulation and strategic planning with digital tools for real-time decision-making and continuous improvement of multimodal operations.
- Fundamentals of strategic planning in multimodal transport: concepts, objectives, and alignment with the global value chain
- Advanced methodologies for risk analysis and assessment in maritime, land, and air operations
- Integrated logistics optimization models for efficient cargo coordination in multimodal environments
- Technological tools for risk management: geographic information systems (GIS), big data, and predictive simulation
- Assessment of specific threats and vulnerabilities by mode of transport: operational, environmental, and regulatory factors
- Development of proactive strategies for risk and contingency mitigation in the multimodal logistics chain
- Implementation of key performance indicators (KPIs) focused on the competitiveness and resilience of multimodal transport
- Analysis of real-world incidents in multimodal coordination and applicable lessons for improving integration
- operational
- International regulations and their impact on the planning and security of maritime, land, and air transport
- Design of contingency plans and rapid response protocols for disruptive events in the global logistics chain
- Role of leadership and strategic decision-making under uncertainty in multimodal environments
- Optimization of information flow and intermodal communication for the reduction of logistics times and costs
- Technological innovations and emerging trends in strategic management and risk analysis in multimodal transport
- Simulation and validation of logistics strategies using advanced digital tools and dynamic scenarios
- Integration of sustainability and environmental criteria into strategic planning and multimodal risk management for global competitiveness
- Structure and dynamics of multimodal logistics chains: integration of maritime, land, and air operations into a continuous and efficient flow
- Advanced planning and optimization models: algorithms for resource allocation, cost minimization, and maximization of operational capacity
- Digital tools for real-time management: TMS (Transport Management Systems), WMS (Warehouse Management Systems), and end-to-end visibility platforms
- Applied technological innovation: IoT, Big Data, artificial intelligence, and blockchain in the traceability and transparency of logistics operations
- Design and management of intermodal hubs: strategic selection, critical infrastructure, multimodal flows, and operational synergies
- Sustainability and carbon footprint reduction: strategies for green transport, life cycle assessment, and compliance with international environmental regulations
- Management Risk and resilience: predictive contingency analysis, business continuity plans, and adaptation to market fluctuations and regulations.
Compliance and international regulations: Incoterms, international conventions, customs regulations, and security in multimodal transport.
Integration of automation and robotics solutions: from loading and unloading to intelligent real-time monitoring.
Practical case studies and benchmarking of high-performance multimodal logistics chains to enhance global competitiveness.
- Fundamental concepts of sustainability in multimodal logistics chains: analysis of the triple bottom line (environmental, social, and economic impact)
- Advanced models for the design and optimization of sustainable multimodal logistics networks: integration of environmental variables and reduction of carbon footprint
- Technological innovations in the management of maritime, land, and air transport: IoT, Big Data, blockchain, and their application to traceability and transparency
- Intelligent systems for logistics operations: automation, robotics in warehouses, autonomous vehicles, and drones for efficient distribution
- Assessment and mitigation of environmental risks in multimodal operations: resilience and adaptation strategies to climate change
- International regulations and sustainability standards: compliance and certifications in multimodal logistics management
- Digital analysis and simulation tools for continuous improvement in multimodal chains: integrated ERP platforms and fleet management software
- Performance indicators Key Performance Indicators (KPIs) for Competitiveness and Sustainability: Methodologies for Measuring Energy Efficiency, Emissions, and Operating Costs
Case Studies and Global Benchmarking: Successful Implementation of Sustainable Innovations in Maritime-Land-Air Logistics
Strategic Development Oriented Towards the Circular Economy in Multimodal Logistics: Design of Sustainable Processes and Waste Utilization
Public-Private Collaboration and Partnerships for the Promotion of Green Infrastructure and Clean Technologies in Multimodal Transport
Impact of Technological Change and Business Models on the Global Competitiveness of Sustainable Logistics Chains
Formulation and Management of Innovation Projects in Multimodal Logistics with a Sustainable Focus: From Idea to Implementation
Ethics and Corporate Social Responsibility in the Management of Globally Interconnected Logistics Chains
Future Perspectives and Disruptive Trends in Innovation and Sustainability to Transform Global Multimodal Transport
- Fundamentals of Integrated Management in Multimodal Transport: Definition, Scope, and Strategic Benefits
- Advanced Models of Operational Coordination between Maritime, Land, and Air Modes: Synchronization and Joint Planning
- Digital Tools Applied to Multimodal Management: TMS, WMS, ERP Platforms, and IoT Systems for Real-Time Visibility
- Predictive Analytics and Big Data in Multimodal Logistics: Forecasting Algorithms for Route and Load Optimization
- Interoperability of Systems and International Standards: EDI, GS1, UN/CEFACT, and Sectoral Regulations for Efficient Integration
- Optimization of Global Logistics Chains through Simulation and Modeling: Use of Specialized Software for Time and Cost Reduction
- Advanced Inventory and Warehousing Management in Multimodal Hubs: Just-in-Time Techniques, Cross-Docking, and Automated Stock Control
- Risk and Contingency Analysis in Integrated Operations: Mitigation plans, insurance, and crisis management in multimodal supply chains
Key performance indicators (KPIs) and balanced scorecards for continuous monitoring of operational efficiency
Real-world examples of successful implementation in large terminals and logistics operators: lessons learned and applicable best practices
- Fundamentals and evolution of technologies in multimodal transport: digitalization, Internet of Things (IoT), and Big Data applied to integrated logistics
- Sustainability in supply chains: carbon footprint analysis, circular economy, and compliance with international environmental regulations (ISO 14001, Paris Agreement)
- Implementation of advanced logistics management systems: integrated TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and ERP for route and resource optimization
- Technological innovation in maritime transport: port automation, autonomous vessels, blockchain for traceability, and smart contracts
- Technological solutions in land transport: electric vehicles, traffic management systems, and the use of drones for last-mile delivery
- Advances in air transport: cargo optimization, unmanned aerial vehicles (UAVs), and predictive analytics tools for maintenance and route planning
Multimodal logistics chain integration and orchestration: intermodal coordination, time synchronization, contingency management, and end-to-end visibility
Advanced risk management strategies: vulnerability assessment, crisis resilience, cybersecurity, and business continuity plans in multimodal environments
Use of artificial intelligence and machine learning for dynamic inventory optimization, demand forecasting, and improved real-time decision-making
Case studies and applied projects: practical implementation of technological innovation and sustainability in real-world logistics chains, results evaluation, and return on investment
- Fundamentals and methodology for the development of the Master’s Thesis: objectives, scope, and problem definition in multimodal logistics chains
- Advanced integration of digital technologies: IoT, Big Data, blockchain, and transport management systems (TMS) applied to maritime-land-air interconnection
- Modeling and simulation of complex logistics chains: tools and software for real-time optimization and predictive analysis
- Sustainable strategies and eco-efficiency in multimodal logistics: carbon footprint reduction, use of clean energy, and resource optimization in transport
- International regulations and sustainability standards applied to maritime, land, and air operations: IMO, IATA, OTIF, and national regulations
- Comprehensive risk management in multimodal chains: identification, assessment, and mitigation through digital monitoring and control technologies
- Disruptive technologies applied to the Cargo traceability and security: RFID, smart sensors, and blockchain platforms for operational transparency and trust
Optimizing planning and execution in multimodal transport: advanced algorithms for efficient resource allocation and reduced operating costs
Developing key performance indicators (KPIs) to measure the efficiency, sustainability, and resilience of multimodal logistics chains
Preparing, presenting, and defending the final project: integrating results, technical conclusions, critical analysis, and proposals for innovation applied to the multimodal transport sector
Career prospects
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- Multimodal Transport Manager: planning and coordination of shipments, optimization of routes and costs.
- International Logistics Specialist: customs management, documentation, and foreign trade regulations.
- Supply Chain Consultant: analysis and improvement of logistics processes, design of efficient solutions.
- Port Operations Manager: coordination of loading and unloading activities, resource management.
- Air Transport Technician: management of airport operations, air traffic control, and security.
- Transport Risk Analyst: identification and assessment of risks, development of contingency plans.
- Transport Insurance Specialist: risk assessment, claims and losses management.
- Researcher in Logistics and Transportation: Development of new technologies and solutions for the sector.
- Lecturer in Transportation and Logistics: Training of professionals in the sector.
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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
- 360° Vision: Master the integration of sea, land, and air modes in the global logistics chain.
- Advanced Strategies: Learn to optimize routes, costs, and delivery times in multimodal transport.
- Disruptive Technologies: Explore the impact of Big Data, IoT, and blockchain on transport management.
- Legal and Regulatory Framework: Delve into the international and customs legislation that governs the sector.
- Real-World Case Studies: Apply your knowledge in simulations and projects with leading companies.
Testimonials
This master’s program provided me with the necessary tools to optimize my company’s logistics chain. Thanks to the knowledge I gained in maritime, land, and air transport, I was able to design a multimodal strategy that reduced transport costs by 15% and delivery times by 20%, increasing customer satisfaction and market competitiveness.
During my Master’s in Logistics & Global Trade, I developed in-depth knowledge of supply chain optimization, which enabled me to lead my company’s logistics restructuring. We achieved a 15% reduction in transportation costs and a 20% increase in delivery efficiency, positively impacting customer satisfaction and financial results.
During my Master’s degree in Multimodal Maritime-Land-Air Transport, I gained in-depth knowledge of international logistics and supply chain management. I applied this knowledge to my final project, designing a multimodal transport strategy for a company that imports perishable goods, optimizing costs by 15% and reducing delivery times by 20%. This project led to my appointment as Logistics Coordinator at a major multinational company in the sector, where I currently manage multimodal transport operations globally.
During the Master’s in Multimodal Maritime-Land-Air Transport, I developed an optimized route system for a logistics company, reducing its transport costs by 12% and delivery times by 15%, which allowed them to gain a significant competitive advantage in the market.
Frequently asked questions
Maritime, land and air.
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.
Maritime, land and air.
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 methodology for the development of the Master’s Thesis: objectives, scope, and problem definition in multimodal logistics chains
- Advanced integration of digital technologies: IoT, Big Data, blockchain, and transport management systems (TMS) applied to maritime-land-air interconnection
- Modeling and simulation of complex logistics chains: tools and software for real-time optimization and predictive analysis
- Sustainable strategies and eco-efficiency in multimodal logistics: carbon footprint reduction, use of clean energy, and resource optimization in transport
- International regulations and sustainability standards applied to maritime, land, and air operations: IMO, IATA, OTIF, and national regulations
- Comprehensive risk management in multimodal chains: identification, assessment, and mitigation through digital monitoring and control technologies
- Disruptive technologies applied to the Cargo traceability and security: RFID, smart sensors, and blockchain platforms for operational transparency and trust
Optimizing planning and execution in multimodal transport: advanced algorithms for efficient resource allocation and reduced operating costs
Developing key performance indicators (KPIs) to measure the efficiency, sustainability, and resilience of multimodal logistics chains
Preparing, presenting, and defending the final project: integrating results, technical conclusions, critical analysis, and proposals for innovation applied to the multimodal transport sector
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.