IoT course applied to boats
Why this course?
The IoT Applied to Vessels
course
Immerse yourself in the digital revolution of the maritime sector, exploring how the Internet of Things (IoT) optimizes operations, improves safety, and reduces costs. You will learn to implement smart sensors and devices to monitor engine performance, fuel consumption, weather conditions, and vessel location in real time. This program will provide you with the skills necessary to design, install, and maintain marine IoT systems, driving efficiency and sustainability in navigation.
Differential Advantages
- Practical Applications: Real-world use cases in fleet management, predictive maintenance, and route optimization.
- Maritime Connectivity: Strategies to overcome the challenges of communication at sea (satellite, cellular networks).
- Data Analysis: Tools to interpret information collected by sensors and make informed decisions.
- Cybersecurity: Protecting marine IoT systems against threats and vulnerabilities.
- Innovation and Future: Exploring the latest IoT trends and their impact on the maritime industry.
- Modality: Online
- Level: Cursos
- Hours: 150 H
- Start date: 25-04-2026
Availability: 1 in stock
Who is it aimed at?
- Naval and electronic engineers looking to integrate sensors and remote monitoring systems into vessels.
- Shipowners and fleet managers interested in optimizing performance, predictive maintenance, and fuel efficiency.
- Maritime software developers who need to create innovative applications for onboard data management and analysis.
- Naval maintenance technicians who want to diagnose and troubleshoot remotely through IoT monitoring.
- Maritime and electronic engineering students looking to acquire practical skills in applying IoT in the naval sector.
Flexibility and Application
Course adaptable to your pace: asynchronous modules, practical projects and personalized advice for your particular case.
Objectives and competencies
Optimize predictive maintenance of navigation systems:
Implement data analytics and machine learning techniques to anticipate failures, prioritize interventions, and reduce downtime.
Remotely monitor environmental conditions and vessel performance in real time:
“Analyze sensor data (weather, navigation, engine performance) and act proactively against deviations or anomalies to optimize efficiency and safety.”
Improve fuel efficiency through route optimization and energy management:
“Analyze consumption data, weather conditions and currents to adjust speed and trim, minimizing resistance and maximizing propeller efficiency.”
Automate and remotely control onboard security systems and alarms:
Integrate with vessel management systems (BMS) and notify responsible parties according to predefined protocols.
Implement navigation assistance systems that improve safety and reduce the risk of collisions:
Integrate data from multiple sensors (radar, AIS, GPS) for complete situational awareness and act proactively according to the assessed risk.
Collect and analyze data to improve operational and strategic decision-making:
Implement Business Intelligence and Data Analytics tools to identify trends, optimize processes and predict results, communicating findings clearly and actionably to those responsible.
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 Smart Boating: Concepts, Benefits, and Challenges
- Sensor Fundamentals: Types, Operating Principles, Characteristics, and Nautical Applications
- Navigation Sensors: GNSS, IMU, Compass, Anemometer, Log, Echosounder
- Engine Monitoring Sensors: Temperature, Pressure, Fluid Level, Vibration
- Environmental Condition Sensors: Temperature, Humidity, Barometric Pressure, UV Radiation, Water Quality
- Actuators: Types, Characteristics, and Applications in Marine Systems (Autopilot, Pumps, Valves)
- Marine Communication Networks: NMEA 0183, NMEA 2000, CAN bus, Ethernet
- Communication Protocols: MQTT, HTTP, TCP/IP
- Integration of Sensors and Actuators: Design, Installation, Configuration, and Testing
- Cybersecurity in Smart Marine Networks: Threats, Vulnerabilities, and Protection Measures
‘
- Introduction to Monitoring in Marine Use: Needs and Benefits.
- Marine Sensors: Types, Operating Principles, and Applications (Position, Speed, Wind, Depth, Fuel Level, etc.).
- Wireless Communications: Wi-Fi, Bluetooth, Cellular Networks (4G/5G), Satellite (Iridium, Globalstar) for Data Transmission.
- Remote Monitoring Platforms: Architecture, Security, and Hardware and Software Considerations.
- Marine Communication Protocols: NMEA 0183, NMEA 2000, SeaTalk.
- Power and Energy: Energy Efficiency Considerations, Batteries, Solar Panels, Generators.
- Alarms and
- Notifications: Configuration, prioritization, and management of alerts (SMS, email, push notifications).
- Data Visualization: Creation of custom dashboards, mobile applications, and web platforms.
- Remote Equipment Control: Activation/deactivation of pumps, lights, climate control systems, etc.
- Cybersecurity in Marine Monitoring: Protection against unauthorized access and attacks.
‘
- Introduction to IoT and its application in the maritime environment
- IoT architecture fundamentals: Devices, network, platform, and applications
- Marine sensors: Types, characteristics, calibration, and maintenance
- Wireless connectivity: Wi-Fi, Bluetooth, Zigbee, LoRaWAN
- Satellite communications: Iridium, Inmarsat, VSAT
- Communication protocols: MQTT, CoAP, HTTP
- IoT platforms: AWS IoT, Azure IoT Hub, Google Cloud IoT Platform
- Security in maritime IoT: Authentication, authorization, encryption
- Data analysis: Collection, storage, processing, and visualization
- Use cases: Vessel monitoring, cargo management, port security
‘
- Introduction to IoT: Concepts, Architectures, and Protocols
- IoT Security: Vulnerabilities, Threats, and Risks
- IoT Devices for Navigation: Sensors, Actuators, and Communications
- IoT Data Integration: Acquisition, Processing, and Analysis
- Cybersecurity in Navigation: Protecting Systems and Data
- Authentication and Authorization: Controlling Access to Devices and Data
- Encryption and Data Protection: Ensuring Confidentiality and Integrity
- Risk Analysis and Incident Management: Identification and Response
- Regulatory Compliance and Security Standards in IoT
- Use Cases and Best Practices in IoT Integration and Security for Navigation
‘
- 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.
Plan de estudio - Módulos
- 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 Smart Boating: Concepts, Benefits, and Challenges
- Sensor Fundamentals: Types, Operating Principles, Characteristics, and Nautical Applications
- Navigation Sensors: GNSS, IMU, Compass, Anemometer, Log, Echosounder
- Engine Monitoring Sensors: Temperature, Pressure, Fluid Level, Vibration
- Environmental Condition Sensors: Temperature, Humidity, Barometric Pressure, UV Radiation, Water Quality
- Actuators: Types, Characteristics, and Applications in Marine Systems (Autopilot, Pumps, Valves)
- Marine Communication Networks: NMEA 0183, NMEA 2000, CAN bus, Ethernet
- Communication Protocols: MQTT, HTTP, TCP/IP
- Integration of Sensors and Actuators: Design, Installation, Configuration, and Testing
- Cybersecurity in Smart Marine Networks: Threats, Vulnerabilities, and Protection Measures
‘
- Introduction to Monitoring in Marine Use: Needs and Benefits.
- Marine Sensors: Types, Operating Principles, and Applications (Position, Speed, Wind, Depth, Fuel Level, etc.).
- Wireless Communications: Wi-Fi, Bluetooth, Cellular Networks (4G/5G), Satellite (Iridium, Globalstar) for Data Transmission.
- Remote Monitoring Platforms: Architecture, Security, and Hardware and Software Considerations.
- Marine Communication Protocols: NMEA 0183, NMEA 2000, SeaTalk.
- Power and Energy: Energy Efficiency Considerations, Batteries, Solar Panels, Generators.
- Alarms and
- Notifications: Configuration, prioritization, and management of alerts (SMS, email, push notifications).
- Data Visualization: Creation of custom dashboards, mobile applications, and web platforms.
- Remote Equipment Control: Activation/deactivation of pumps, lights, climate control systems, etc.
- Cybersecurity in Marine Monitoring: Protection against unauthorized access and attacks.
‘
- Introduction to IoT and its application in the maritime environment
- IoT architecture fundamentals: Devices, network, platform, and applications
- Marine sensors: Types, characteristics, calibration, and maintenance
- Wireless connectivity: Wi-Fi, Bluetooth, Zigbee, LoRaWAN
- Satellite communications: Iridium, Inmarsat, VSAT
- Communication protocols: MQTT, CoAP, HTTP
- IoT platforms: AWS IoT, Azure IoT Hub, Google Cloud IoT Platform
- Security in maritime IoT: Authentication, authorization, encryption
- Data analysis: Collection, storage, processing, and visualization
- Use cases: Vessel monitoring, cargo management, port security
‘
- Introduction to IoT: Concepts, Architectures, and Protocols
- IoT Security: Vulnerabilities, Threats, and Risks
- IoT Devices for Navigation: Sensors, Actuators, and Communications
- IoT Data Integration: Acquisition, Processing, and Analysis
- Cybersecurity in Navigation: Protecting Systems and Data
- Authentication and Authorization: Controlling Access to Devices and Data
- Encryption and Data Protection: Ensuring Confidentiality and Integrity
- Risk Analysis and Incident Management: Identification and Response
- Regulatory Compliance and Security Standards in IoT
- Use Cases and Best Practices in IoT Integration and Security for Navigation
‘
- 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 Maritime IoT: Concepts, Benefits, and Challenges
- Marine Sensors: Types, Characteristics, Calibration, and Maintenance
- Wireless Communication Networks: Wi-Fi, Bluetooth, Zigbee, LoRaWAN, NB-IoT
- IoT Communication Protocols: MQTT, CoAP, HTTP, AMQP
- Cloud IoT Platforms: AWS IoT, Azure IoT Hub, Google Cloud IoT Core
- Remote Monitoring System Architecture: Hardware, Software, and Communications
- Security in Maritime IoT: Authentication, Authorization, Encryption, and Key Management
- Data Visualization: Dashboards, Control Panels, and Mobile Applications
- Alerts and Notifications: Configuration, Prioritization, and Management of events
- Data analysis: Machine learning, anomaly detection, and predictive maintenance
‘
- Introduction to navigation sensors: types, operating principles, and applications.
- Global Positioning Systems (GNSS): GPS, GLONASS, Galileo, BeiDou, fundamentals, and accuracy.
- Inertial Measurement Units (IMUs): accelerometers, gyroscopes, magnetometers, calibration, and data filtering.
- Speed and direction sensors: logs, anemometers, wind vanes, and data integration.
- Echosounders and sonars: operating principles, interpretation of bathymetric data, and obstacle detection.
- Radar and Lidar: object detection, range, resolution, and limitations under different environmental conditions.
- Onboard connectivity: data buses (NMEA 0183, NMEA 2000), Ethernet, wireless networks.
Data transmission: communication protocols, security, and information management.
Sensor data analysis: filtering, sensor fusion, anomaly detection, and predictive modeling.
Applications of data analysis: route optimization, navigation safety, predictive maintenance, and performance monitoring.
‘
- Introduction to Marine Sensorization: Types, Applications, and Challenges.
- Oceanographic Sensors: Temperature, Salinity, Currents, and Waves.
- Meteorological Sensors: Wind, Atmospheric Pressure, Humidity, and Radiation.
- Positioning and Navigation Sensors: GNSS, IMU, and Compasses.
- Security and Surveillance Sensors: Radar, AIS, CCTV, and Intruder Detection Systems.
- Marine Communications: VHF, MF/HF, Satellite, and Wireless Networks.
- Communication Protocols: NMEA 0183/2000, Modbus, MQTT, and HTTP.
- Connectivity platforms: IoT, cloud computing, and edge computing.
- Data processing and analysis: big data, machine learning, and artificial intelligence.
- Cybersecurity in maritime connectivity: threats, vulnerabilities, and protective measures.
‘
- Introduction to Maritime IoT: Concepts, Benefits, and Challenges
- Marine Environmental Sensors: Temperature, Salinity, Pressure, Dissolved Oxygen
- Navigation Sensors: GNSS, IMU, Compass, Speed, Depth
- Machinery Sensors: Vibration, Temperature, Oil Pressure, Fuel Consumption
- Safety Sensors: Intruder Detection, Fire, Flooding, Gases
- Marine Wireless Connectivity: Wi-Fi, Bluetooth, Zigbee, LoRaWAN
- Satellite Communications: Iridium, Inmarsat, VSAT
- Communication Protocols: MQTT, CoAP, HTTP
- IoT Cloud Platforms: AWS IoT, Azure IoT, Google Cloud IoT
- Security and privacy in maritime IoT networks
‘
Career opportunities
- IoT Systems Maintenance Technician on Vessels: Installation, configuration, and troubleshooting of onboard IoT sensors, actuators, and communication platforms.
- Software Developer for Maritime IoT Applications: Creation of applications for remote monitoring, data analysis, and control of onboard systems.
- IoT Data Analyst for Shipping Operations Optimization: Interpretation of data collected by IoT sensors to improve fuel efficiency, cargo management, and route planning.
- IoT Solutions Implementation Consultant for the Maritime Industry: Advising shipowners and shipyards on the adoption of IoT technologies to improve safety, efficiency, and regulatory compliance.
- Onboard Systems Engineer with IoT Specialization: Design, development, and integration of electronic and control systems incorporating IoT technologies for various applications. maritime.
- IoT Project Manager in the Naval Sector: Planning, execution, and monitoring of IoT solution implementation projects on vessels and in shipyards.
- Cybersecurity Specialist for Maritime IoT Systems: Protecting onboard IoT systems against cyber threats and security vulnerabilities.
- Researcher and Developer of New IoT Applications for the Maritime Sector: Exploring new opportunities for applying IoT technologies to improve innovation and competitiveness in the naval industry.
“`
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.
5. Induction
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
- Master Maritime IoT: Learn how to implement IoT solutions on vessels to optimize performance, safety, and efficiency.
- Sensors and Devices: Discover the most commonly used types of sensors and how to integrate them to monitor critical data in real time.
- Onboard Connectivity: Explore the different connectivity options (satellite, cellular, Wi-Fi) and choose the one best suited to your needs.
- Data Analysis: Learn how to process and analyze collected data to make informed decisions and predict failures.
- Case Studies: Analyze real-world examples of IoT implementation on vessels and learn from industry best practices.
Testimonials
I implemented an IoT system on a fishing fleet that monitored location, fuel consumption, and net status in real time. This allowed us to optimize fishing routes, reduce fuel consumption by 15%, and increase catches by 12% in the first quarter.
This course provided me with the tools and network I needed to launch my marine robotics startup. I learned to identify opportunities in the blue market, develop a sustainable business model, and navigate the complex startup funding landscape. Today, my company is developing an innovative aquaculture monitoring solution, and much of this success is thanks to the solid foundation I gained in this program.
I implemented an IoT system on a fishing fleet that monitored location, engine status, and fuel levels in real time. This allowed for optimized fishing routes, a 15% reduction in fuel consumption, and improved crew safety by automatically alerting in case of emergency.
I implemented an IoT system on a fishing fleet that monitored location, engine performance, and environmental conditions. This reduced fuel consumption by 15%, optimized fishing routes, and improved crew safety, increasing overall profitability by 20%.
Frequently asked questions
Greater efficiency and safety in navigation through real-time monitoring of variables such as location, engine status, weather conditions and anomaly detection.
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.
GPS location, speed, heading, depth, water temperature, fuel level, engine vibrations, oil pressure, battery voltage, hull condition, leak detection, weather conditions.
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 Maritime IoT: Concepts, Benefits, and Challenges
- Marine Environmental Sensors: Temperature, Salinity, Pressure, Dissolved Oxygen
- Navigation Sensors: GNSS, IMU, Compass, Speed, Depth
- Machinery Sensors: Vibration, Temperature, Oil Pressure, Fuel Consumption
- Safety Sensors: Intruder Detection, Fire, Flooding, Gases
- Marine Wireless Connectivity: Wi-Fi, Bluetooth, Zigbee, LoRaWAN
- Satellite Communications: Iridium, Inmarsat, VSAT
- Communication Protocols: MQTT, CoAP, HTTP
- IoT Cloud Platforms: AWS IoT, Azure IoT, Google Cloud IoT
- Security and privacy in maritime IoT networks
‘
Request information
- Complete the Application Form
- Attach your CV/Qualifications (if you have them to hand).
- Indicate your preferred cohort (January/May/September) and whether you want the hybrid option with simulator sessions.
Teachers
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.