Diploma in Intelligent Freight and Passenger Transport
Why this certificate program?
The Diploma in Intelligent Freight and Passenger Transport
This program prepares you to lead the transformation towards more efficient, sustainable, and safe transport systems. Learn to optimize logistics, manage fleets with cutting-edge technologies, and improve the user experience, driving innovation in a constantly evolving sector. This program will provide you with the tools and knowledge necessary to face the challenges of the future of transport.
Differentiating Advantages
- Data Analysis: Use analytical tools for route optimization and demand forecasting.
- Smart Fleet Management: Implement real-time monitoring and control systems.
- Sustainable Mobility: Design strategies for emissions reduction and the promotion of clean energy.
- Emerging Technologies: Explore the potential of IoT, artificial intelligence, and blockchain in transportation.
- Real-World Case Studies: Learn from best practices and innovative projects globally.
- Modality: Online
- Level: Diplomado
- Hours: 800 H
- Start date: 01-10-2026
Availability: 1 in stock
Who is it aimed at?
- Logistics and transportation professionals looking to optimize their operations through the use of smart technologies and data analytics.
- Fleet and operations managers interested in reducing costs, improving efficiency, and increasing safety in freight and passenger transportation.
- Supply chain managers who want to implement innovative solutions for traceability, inventory management, and route optimization.
- Software developers and technology providers looking to understand the needs of the sector and offer tailored solutions for smart transportation.
- Students and recent graduates in engineering, logistics, and transportation fields looking to specialize in the latest trends and technologies in the sector.
Flexible scheduling:
Designed for active professionals: live and recorded online classes, 24/7 access to resources, and personalized support for your professional development.
Objectives and competencies

Optimize logistics management with emerging technologies:
“Implement AI and Machine Learning-based route optimization and inventory management systems, integrating them with real-time visibility platforms.”

Implement real-time monitoring and control systems:
“Manage sensor and system information in an integrated manner, prioritizing alarms and acting swiftly in response to deviations to ensure safety and operational efficiency.”

Develop and implement strategies for sustainable mobility:
“Design route optimization and fleet management plans, incorporating alternative propulsion technologies and minimizing environmental impact.”

Evaluate and select appropriate ITS (Intelligent Transportation Systems) technologies:
“Considering interoperability, scalability, cost-effectiveness, and technology maturity, prioritizing modular solutions based on open standards to facilitate future integration and avoid vendor lock-in.”

Design and implement ITS solutions for fleet optimization:
“Integrating telematics data (GPS, sensors, CAN bus) to monitor the location, performance and status of vehicles in real time, allowing proactive problem detection and route optimization.”

Managing safety and efficiency in transport operations:
“Optimize routes and speed, considering weather conditions, vessel status and port regulations, to minimize fuel consumption and emissions, guaranteeing cargo integrity and crew safety.”
Curriculum - Modules
- Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
- Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
- Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
- Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
- Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
- Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
- Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
- Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation
Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics
Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates
- Introduction to Logistics Optimization: Key Concepts and Trends
- Supply Chain Management: Planning, Execution, and Control
- Warehousing and Inventory Management: Techniques and Technologies
- Transportation and Distribution: Modes, Routes, and Cost Optimization
- Road Safety in Logistics: Regulations, Risks, and Prevention
- Human Factors in Road Safety: Fatigue, Distractions, and Training
- Technologies for Road Safety: ADAS Systems, Telematics, and Monitoring
- Technological Innovation in Logistics: Automation, Robotics, and AI
- Big Data and Predictive Analytics: Route Optimization, Maintenance, and Risk Management
- Sustainability and Green Logistics: Emission Reduction and Energy Efficiency
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- Introduction to Logistics 4.0: Key Concepts and Evolution
- Enabling Technologies: IoT, Big Data, Cloud Computing, AI, Blockchain
- Automation and Robotics: Smart Warehouses, AGVs, Drones
- Visibility and Traceability: Real-time Tracking Systems, Sensors
- Predictive Analytics: Route Optimization, Inventory Management, Maintenance
- Disruptive Business Models: Collaborative Platforms, Sharing Economy, 3D Printing
- Cybersecurity in Logistics 4.0: Data and Systems Protection
- Sustainability in Logistics 4.0: Green Logistics, Resource Optimization
- Implementing Logistics 4.0: Strategies, Challenges, and Best Practices.
- The Future of Logistics: Emerging Trends and Success Stories.
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- Introduction to Connected Mobility: Definition, Scope, and Benefits.
- Fundamentals of Logistics 4.0: Enabling Technologies (IoT, Big Data, AI, Blockchain).
- Transportation Management Systems (TMS): Functionalities, Integration, and Optimization.
- Route Planning and Optimization: Algorithms, Constraints, and Tools.
- Connected Fleet Management: Telemetry, Predictive Maintenance, and Security.
- Multimodal Integration: Coordination of Different Modes of Transport (Road, Rail, Sea, Air).
- Data Sharing Platforms: Standards, Protocols, and Security.
- Warehouse Optimization and Distribution Centers: Automation, Robotics, and Real-Time Visibility.
- Data Analysis for Decision Making: KPIs, Predictive Models, and Business Intelligence.
- Future Trends in Connected Mobility and Multimodal Logistics: Autonomous Vehicles, Drones, and Sustainability.
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- Introduction to Disruptive Technologies in Transportation: Current Landscape and Future
- Autonomous Vehicles: Technologies, Levels of Automation, Legal and Ethical Implications
- Drones and Unmanned Aerial Systems: Applications in Logistics, Inspection, and Monitoring
- Internet of Things (IoT): Sensors, Connectivity, and Data Analytics for Transportation Optimization
- Blockchain: Traceability, Security, and Efficiency in the Supply Chain
- Artificial Intelligence (AI) and Machine Learning: Route Optimization, Demand Forecasting, and Predictive Maintenance
- Augmented Reality (AR) and Virtual Reality (VR): Training, Simulation, and Remote Maintenance
- 3D Printing: Manufacturing Spare Parts, Prototyping, and Personalization
Big Data Analytics: Data analysis for strategic and operational decision-making
Ethical and security considerations in the implementation of disruptive technologies‘
- System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
- Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
- Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
- Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
- Conformance criteria, certification, and best practices for operation and maintenance
- Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
- Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
- Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
- Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.
Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.
Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety → diagnosis → intervention → verification → report) applicable to any system.
- Introduction to Logistics Optimization: Key Concepts and Current Trends
- Fundamentals of Electromobility: Technologies, Components, and Their Environmental Impact
- Road Regulatory Framework: National and International Regulations Applicable to Transportation
- Strategic Planning in Logistics: Network Design, Inventory Management, and Route Optimization
- Charging Infrastructure for Electric Vehicles: Types, Location, and Management of Stations
- Road Safety: Risk Analysis, Accident Prevention, and Safety Management
- Logistics Optimization Technologies: TMS, WMS Software, and Tracking Systems
- Electric Fleet Management: Maintenance, Range, and Charging Optimization
- Environmental Impact of Transportation: Measurement, Emission Reduction, and Sustainability Strategies.
- Case Studies: Successful Implementation of Logistics Optimization and Electromobility.
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Career opportunities
- Smart Fleet Manager: Route optimization, real-time monitoring, and efficient resource management for freight and passenger transport companies.
- Smart Mobility Consultant: Design and implementation of innovative transport solutions for cities and companies, integrating Intelligent Transportation Systems (ITS) technologies.
- Logistics 4.0 Specialist: Application of technologies such as IoT, Big Data, and blockchain to improve efficiency and traceability in the supply chain.
- Transportation Data Analyst: Collection and analysis of data for strategic decision-making in transport planning and management.
- Transportation Application Developer: Creation of software and mobile applications to improve the user experience in public and private transport.
- Navigation and Geolocation Systems Specialist: Implementation and maintenance of systems Navigation and geolocation for freight and passenger transport vehicles.
Transportation Security Manager: Design and implementation of security protocols to guarantee the safety of passengers and cargo.
Route Planner and Logistics Optimizer: Development of efficient routes and optimization of logistics to reduce costs and delivery times.
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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.

Documentation:
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 Logistics: Master the technologies and strategies for efficient and sustainable transport.
- Mobility of the Future: Learn about autonomous vehicles, intelligent management systems, and disruptive trends.
- Freight and Passengers: Specialize in fleet management, safety, and user experience.
- Case Studies: Apply your knowledge to real-world situations with simulations and case studies.
- Professional Networking: Connect with industry experts and leaders to boost your career.
Testimonials
This diploma program provided me with the tools and knowledge necessary to optimize delivery routes in my company. I implemented a smart logistics system that reduced delivery times by 15% and fuel costs by 12%, positively impacting the efficiency and profitability of the operation.
This diploma program provided me with the tools and knowledge necessary to optimize our company’s import routes. Thanks to the application of port logistics concepts and data analysis techniques, we were able to reduce delivery times by 15% and operating costs by 8%, exceeding management’s expectations.
This diploma program provided me with the tools and knowledge necessary to optimize my company’s distribution routes. Thanks to the application of Logistics 4.0 concepts and intelligent transportation systems, we were able to reduce operating costs by 15% and increase delivery efficiency by 20%, exceeding our customers’ expectations.
This diploma program provided me with the tools and knowledge necessary to optimize my company’s distribution routes. Thanks to the application of intelligent transportation concepts, we were able to reduce delivery times by 15% and operating costs by 12%, significantly improving efficiency and customer satisfaction.
Frequently asked questions
The main focus is on intelligent transport, applied to freight and passenger transport.
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 addresses both cargo and passengers within the context of intelligent transport.
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.
- Introduction to Logistics 4.0: Definition, Scope, and Benefits
- Enabling Technologies: IoT, Big Data, AI, Blockchain, Cloud Computing
- Automation and Robotics: Smart Warehouses, AGVs, Drones
- Supply Chain Visibility: Traceability, Real-Time Monitoring
- Predictive Analytics: Route Optimization, Inventory Management, Demand Forecasting
- New Mobilities: Autonomous Vehicles, Collaborative Transportation, Micromobility
- Sustainability in Logistics: Green Logistics, Circular Economy, Eco-Friendly Packaging
- Cybersecurity in Logistics 4.0: Data Protection, Threats, Contingency Plans
- Business Models Innovators: Logistics platforms, marketplaces, on-demand services
- Impact of Logistics 4.0 on the workforce: Training, new skills, roles
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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
Eng. Sofía Marquina
Full Professor
Eng. Sofía 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