Dr. Marina AlcoverAcademic director focused on measurable results and operational excellence in maritime education. Integrates IMO/STCW regulations and ISO 21001/9001 f
Course · 300 h · 5 modules
Digital Fleet Management Course
This course empowers you to optimize the efficiency and profitability of your fleet through the implementation of cutting-edge technologies. You will learn to collect, analyze, and utilize real-time data for strategic…
Duration300 h
FormatOnline
Starts7 December
Places20 / 20
Prior knowledge
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Programme overview
What is the Digital Fleet Management Course?
The Digital Fleet Management Course
This course empowers you to optimize the efficiency and profitability of your fleet through the implementation of cutting-edge technologies. You will learn to collect, analyze, and utilize real-time data for strategic decision-making, reducing operating costs, and improving overall fleet performance. Master the tools and strategies to lead the digital transformation in the transport and logistics sector.
Differentiating Advantages
- Route Optimization: Minimizes fuel consumption and delivery times using intelligent algorithms.
- Predictive Maintenance: Anticipates mechanical failures and reduces vehicle downtime.
- Real-Time Tracking and Control: Monitors location, driver behavior, and cargo status.
- Advanced Data Analysis: Identifies patterns and trends to improve efficiency and safety.
- Comprehensive Management Platform: Access all tools and data from a single, intuitive interface.
Programme type
Course
Study mode
Online
Duration
300 hours
Modules
5
Start date
08-12-2026
Programme highlights
- Optimize your fleet: Master digital tools for efficient and profitable management.
- Data analysis: Learn to interpret key data for strategic decision-making.
- Predictive maintenance: Reduce costs and minimize downtime with advanced techniques.
- Real-time tracking: Monitor your fleet and improve safety with geolocation systems.
- Efficient communication: Optimize communication between the base and vehicles for greater productivity.
- Boost your fleet's efficiency and reduce costs with expert digital management.
Curriculum
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
01
Introduction to the management of digital fleets and emerging technologies
- Digital fleet concept: definition, advantages and differences with traditional fleets
- Key Technologies in Digital Fleet Management: IoT, Telemetry, GPS, and Big Data
- Fleet management platforms: software and systems used to monitor vehicles, equipment and operations
- Applications of digital fleets in different sectors: transport, logistics, maritime, and aeronautical
- Benefits of Digital Fleet Management: Operational Efficiency, Cost Savings, Sustainability and Security
02
Fleet real-time monitoring and tracking
- Real-time tracking technologies: GPS, GLONASS, and other localization technologies
- Sensor integration: speed, temperature, fuel, and other key vehicle parametres
- Real-time monitoring platforms: fleet management systems, cloud-based platforms and mobile applications
- Benefits of real-time monitoring: route optimisation, operating cost reduction and security improvement
- Use of data for decision making: analysis of information, predictions and optimisation strategies
03
Route management and optimisation of digital fleets
- Route planning and optimisation: Use of algorithms to reduce transit times and fuel costs
- Route planning tools: software and applications to manage and optimise fleet routes
- Artificial intelligence in route management: AI to predict traffic conditions, weather and optimise fuel consumption
- Management of multimodal fleets: integration of land, sea and air vehicles on a common platform
- Route Performance Analysis: Measurement of Delivery Times, Costs and Operational Efficiency
04
Preventive maintenance and resource management in digital fleets
- Preventive and Preventive Maintenance Concept: Definition, Differences and How to Improve Fleet Life
- Diagnostic Sensor Technology: How On-Board Sensors Help Predictive Maintenance
- Maintenance management software: platforms that manage the maintenance of vehicles and equipment in fleets
- Resource optimisation: maintenance scheduling, spare parts management, and downtime reduction
- Failure analysis and reports: how to detect common failure patterns and avoid unforeseen events
05
Implementation and future of digital fleets
- Design and implementation of a digital fleet management system - planning, selection of technologies and platforms
- Challenges in the adoption of digital fleets: costs, training, technological integration and resistance to change
- Return of Investment Analysis (ROI): How to calculate the benefit of investing in digital fleets and associated technologies
- Future of digital fleets: emerging trends, autonomous vehicles, electric vehicles and the impact of 5G connectivity
- Ethical and privacy considerations in fleet management: protection of personal data and management of sensitive information
Workload
Study Time and Workload
300 hours of study, online and at your own pace. Move the slider to the hours a week you can really put in.
Hours a week8
Weeks to finish—
You finish around—
Who it is for
Fleet managers and logistics managers looking to optimize efficiency, reduce costs, and improve decision-making through digitalization.Maintenance and operations managers who want to implement predictive solutions, monitor performance in real time, and efficiently manage the asset lifecycle.Data analysts and IT specialists who need tools and knowledge to extract value from fleet-generated data
Faculty
Academic direction and faculty
The teaching team at Navalis: working professionals who deliver and oversee the institute's programmes.
Eng. Diego Cifuentes
Cap. Javier Abaroa (MCA)
Dr. Pau Ferrer
Dr. Nuria Llobregat
Eng. Javier Bañuls
Eng. Sofía Marquina
Eng. Tomás Riera
Verified reviews
Student Reviews
Reviews collected and verified by Opynio, not written by us.
Outcomes
Learning Outcomes
- 01Optimize fuel efficiency
- 02Implement predictive vehicle maintenance
- 03Improve communication and coordination between drivers and the central office.
- 04Reduce vehicle downtime
- 05Increase visibility and control over the location and status of vehicles
- 06Analyze and optimize the overall performance of the fleet
Careers
Career Opportunities
01Fleet Manager: Route optimization, real-time tracking, and resource management.
02Fleet Data Analyst: Interpretation of telematics data to improve efficiency and reduce costs.
03Onboard Telematics Specialist: Implementation and maintenance of monitoring and control systems.
04Fleet Digital Transformation Consultant: Advising on the adoption of new technologies and digital strategies.
05Fleet Management Software Developer: Creation and improvement of management applications and platforms.
06Fleet Cybersecurity Manager: Protection of fleet systems and data against cyber threats.
07Sustainable Mobility Specialist: Implementation of solutions for emissions reduction and energy use. alternatives.
08Project Manager of Fleet Digitization Projects: Leadership and management of new technology implementation projects.
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Questions
Entry Requirements
Telematics, GPS, IoT, sensors, fleet management software, data analytics, machine learning, mobile applications.
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 reduced costs.
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 Institute + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.
Online admissions
Admissions Process
No waiting for a phone call. If your documents are complete, you can pay in the same session.
Entry requirements
Academic/Professional Profile:Bachelor's/Undergraduate Degree in Computer Engineering, Logistics, Business Administration or related field; or demonstrable professional experience in fleet management, data analysis, or digital transformation.Technical Skills:Knowledge of fleet management software (TMS, ERP), data analysis tools (BI, advanced Excel), and connectivity platforms (IoT, telemetry).Skills:Analytical skills, problem-solving, effective communication, project management, and customer focus.Documentation:Updated CV, copy of qualifications/certificates, ID/Passport, cove
Questions?
Frequently Asked Questions
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