Professional Diploma in Smart Freight and Passenger Transport
This professional diploma prepares you to lead the shift towards more efficient, sustainable and safer transport systems for both freight and passengers. You will learn how connected and multimodal mobility works, how to plan services, routes and capacity, how intelligent transport systems, telematics and connected infrastructure give real-time visibility, how artificial intelligence and data analytics support demand forecasting, routing and predictive maintenance, and how to manage safety, cybersecurity, data protection, user experience and decarbonisation, finishing with an applied project on a real transport system.
Prior knowledge check
These are the skills this program gives you. Tick the ones you already master and we will tell you which part of the syllabus is for you.
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What is the Professional Diploma in Smart Freight and Passenger Transport?
This professional diploma is designed for logistics and transport professionals who want to improve their operations with smart technologies and data, fleet and operations managers seeking lower costs and greater efficiency and safety, supply chain managers working on traceability and route optimization, software developers and technology providers who want to understand the sector's needs, and engineering, logistics and transport graduates. You will study the foundations of smart and connected transport and mobility as a service, operations and capacity planning, ITS and telematics, AI and automation, safety, regulation and cybersecurity, freight and passenger management, and sustainability and strategic management.
What sets this professional diploma apart: it treats freight and passengers within one connected system, across road, rail, maritime, air, urban and last-mile transport, rather than as separate worlds; it combines the technology layer, with TMS, ERP, WMS, ticketing, APIs and standards, with the human side of inclusive services, incident handling and user satisfaction; it insists that AI supports professional decisions without replacing the necessary supervision; and it ends with an applied project in which you design and defend a smart transport system for a real network, corridor, fleet or terminal.
Program highlights
- Connected mobility: conventional, connected, automated, shared and multimodal transport and mobility as a service (MaaS).
- Operations planning: services, routes, capacity, fleet and crew allocation, load consolidation and dynamic rescheduling.
- ITS and telematics: GPS, onboard units, connected infrastructure, traveler information and TMS, ERP, WMS and ticketing integration.
- AI and data: demand and arrival-time forecasting, route and fleet optimization, anomaly detection and predictive maintenance.
- Safety and compliance: operational risk, European ITS rules, cybersecurity, personal data protection and service recovery.
- Users and sustainability: traceability, inclusive passenger services, satisfaction metrics, electrification and total cost of ownership.
Syllabus of the Professional Diploma in Smart Freight and Passenger Transport
8 modules. Select a module to see its content.
Foundations of smart transport and connected mobility
- 1.1. Fundamental concepts of smart transport and the differences between conventional, connected, automated, shared and multimodal mobility
- 1.2. Evolution of freight and passenger transport systems through digitalization, telematics, automation and data-driven management
- 1.3. Stakeholders involved: operators, public authorities, logistics companies, concession holders, users, technology providers and control centers
- 1.4. Components of a smart ecosystem: vehicles, infrastructure, sensors, platforms, communications and digital services
- 1.5. The relationship between safety, efficiency, sustainability, accessibility, service quality and user experience
- 1.6. Applications in road, rail, maritime, air, urban, interurban and last-mile transport
- 1.7. Building an integrated view of smart transport as a connected, interoperable, decision-oriented system
- 1.8. Concepts of mobility as a service (MaaS) and connected transport
Planning transport operations, routes and capacity
- 2.1. Planning freight and passenger services according to demand, timetables, frequencies, capacity, constraints and level of service
- 2.2. Designing and optimizing routes using travel times, traffic, costs, consumption, operating windows and transfer points
- 2.3. Allocating vehicles, drivers, cargo units and resources according to availability, range and service needs
- 2.4. Managing capacity, occupancy, load consolidation, empty running and use of available seats and space
- 2.5. Dynamic rescheduling in response to delays, incidents, congestion, technical faults, weather changes or variations in demand
- 2.6. Coordination between terminals, stations, interchanges, warehouses, logistics centers and multimodal nodes
- 2.7. Building flexible operating plans that improve punctuality, resource use and transport continuity
- 2.8. Demand models and capacity management
Intelligent transport systems, telematics and connected infrastructure
- 3.1. Fundamentals of intelligent transport systems and their application to the management, supervision and control of operations
- 3.2. Vehicle telematics using GPS, sensors, onboard units, mobile communications and tracking platforms
- 3.3. Connected infrastructure: roads, stations, terminals, ports, car parks, traffic lights and smart charging points
- 3.4. Traveler information systems, variable message signs, mobile apps, electronic validation and incident management
- 3.5. Integration of TMS, ERP, WMS, ticketing, fleet control and mobility-as-a-service platforms
- 3.6. Interoperability between vehicles, infrastructure, operators, authorities and users through standards and APIs
- 3.7. Building technology architectures that provide real-time visibility, coordination and control
- 3.8. Operations support and fleet management systems
Artificial intelligence, data analytics and transport automation
- 4.1. Applying artificial intelligence to forecast demand, traffic, arrival times and capacity needs
- 4.2. Optimization algorithms for routes, fleet allocation, frequencies, loads, timetables and resource distribution
- 4.3. Analytics of operational, commercial, energy and user behavior data
- 4.4. Detecting anomalies, inefficient driving, technical faults, delays and risks with machine learning
- 4.5. Automating bookings, dispatch, planning, validation, customer service and document management
- 4.6. Autonomous vehicles, driver assistance systems and remote operations in controlled environments
- 4.7. Building intelligent models that support operational decisions without replacing the necessary professional supervision
- 4.8. Predictive maintenance and optimization with algorithms
Safety, regulation, cybersecurity and data protection
- 5.1. Operational safety applied to smart freight and passenger transport in different modes and environments
- 5.2. Assessing risks related to accidents, technology failures, human error, congestion and external conditions
- 5.3. Regulatory framework for transport, connected vehicles, automation, data, accessibility and passenger rights
- 5.4. Cybersecurity of vehicles, sensors, applications, platforms, communication networks and control centers
- 5.5. Protection of personal data, passenger information, geolocation, payments and behavioral records
- 5.6. Managing technology incidents, loss of connectivity, data tampering and service recovery
- 5.7. Building safe, reliable systems that integrate compliance, privacy, resilience and operational continuity
- 5.8. European regulations on intelligent transport systems
Freight, passenger and user experience management
- 6.1. Smart freight management through traceability, identification, tracking, consolidation and condition monitoring
- 6.2. Transport of refrigerated, dangerous, urgent, fragile, perishable and high-value goods
- 6.3. Passenger management through bookings, ticketing, real-time information, accessibility and multichannel customer service
- 6.4. Designing inclusive services for older people, users with reduced mobility, tourists and groups with specific needs
- 6.5. Handling complaints, incidents, delays, cancellations, missed connections and passenger compensation
- 6.6. Measuring satisfaction, punctuality, reliability, occupancy, cargo integrity and perceived safety
- 6.7. Building efficient, transparent, accessible transport experiences centered on users' real needs
- 6.8. Real-time traveler information and digital sales
Sustainability, energy efficiency and strategic transport management
- 7.1. Emission reduction strategies through electrification, alternative fuels, intermodality and fleet renewal
- 7.2. Energy optimization of routes, speeds, occupancy, driving, loads and operating times
- 7.3. Integration of electric vehicles, charging infrastructure, battery management and range planning
- 7.4. Environmental, economic, operational and social performance indicators for the transport system
- 7.5. Assessing costs, investment, return, maintenance, productivity and total cost of ownership
- 7.6. Resilience to energy crises, climate events, infrastructure disruptions and changes in demand
- 7.7. Building smart transport strategies that balance sustainability, profitability, safety and service quality
- 7.8. Electrification and emission reduction in transport
Applied final project in smart freight and passenger transport
- 8.1. Defining the case study: urban network, interurban corridor, logistics fleet, multimodal terminal or integrated mobility system
- 8.2. Diagnosing demand, routes, vehicles, capacity, users, goods, infrastructure, technology and existing risks
- 8.3. Designing the smart system with telematics, sensors, platforms, communications, planning and operational control
- 8.4. Drawing up the freight and passenger management model with traceability, user information, resource allocation and incident handling
- 8.5. Developing the safety, cybersecurity, sustainability, operational continuity and performance indicator plan
- 8.6. Writing the full technical report with schedule, budget, technology architecture, economic analysis and implementation plan
- 8.7. Evaluating the project with service indicators
- 8.8. Presentation and defense of the final project with technical, logistical, operational, economic and environmental validation of the solution
Duration and format of the Professional Diploma in Smart Freight and Passenger Transport
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 Smart Freight and Passenger Transport
Career opportunities after the Professional Diploma in Smart Freight and Passenger Transport
Questions about the Professional Diploma in Smart Freight and Passenger Transport
On both. It treats freight and passenger transport as parts of one connected system, with specific content on cargo traceability and special goods as well as on ticketing, accessibility and passenger experience.
No. It covers road, rail, maritime, air, urban, interurban and last-mile transport, with examples from ports and terminals as key multimodal nodes.
No. The diploma explains how AI, analytics and optimization algorithms are applied and how to evaluate and specify them, but it does not require you to write code. Basic ICT knowledge helps.
Yes. A full module deals with the cybersecurity of vehicles, platforms and control centers, the protection of passenger and geolocation data and the European rules on intelligent transport systems.
You choose a real case, such as an urban network, corridor, logistics fleet or multimodal terminal, diagnose it and design a smart transport system with its technology architecture, management model, safety plan, budget and indicators, which you then present and defend.
Fully online, through a virtual campus available 24/7, with live sessions that are recorded and tutorials with the teaching staff.
The professional diploma comprises 800 hours of study across 8 modules of about 100 hours each and ends with an applied final project. You can progress at your own pace within the schedule set when you enroll.
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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 logistics and transport professionals, fleet and operations managers, supply chain managers, software developers and technology providers, and graduates in engineering, logistics or transport. A technical qualification or degree in logistics, transport, engineering or business, or proven experience in transport or logistics management, is recommended, together with basic ICT and fleet management knowledge.
- Language: sufficient command of English to follow the classes and the technical documentation.
- Technical resources: a computer with a stable internet connection, an up-to-date browser and a camera for live sessions and project presentations.
- 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.