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
IoT course applied to boats
courseImmerse 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…
Duration300 h
FormatOnline
Starts23 November
Places20 / 20
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Programme overview
What is the IoT course applied to boats?
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.
Programme type
Course
Study mode
Online
Duration
300 hours
Modules
5
Start date
09-12-2026
Programme highlights
- 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.
- Apply your knowledge to real-world projects and become an expert in the digitalization of navigation.
Curriculum
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
01
Fundamentals of the Internet of Things, Connected Ecosystems and Digital Architecture Applied to the Nautical and Maritime Environment
- Internet of things concept and its evolution towards intelligent ecosystems applied to recreational, professional and commercial boats
- Essential components of an embarked IoT architecture: sensors, actuators, controllers, gateways, connectivity and data platforms
- Differences between local monitoring, remote telemetry and connected automation in contemporary nautical systems
- Operational variables of interest in boats: position, consumption, temperature, vibration, level, safety, energy and state of critical systems
- Relationship between IoT, predictive maintenance, operational efficiency, on-board safety and optimisation of the boat life cycle
02
Sensors, smart devices and data capture for IoT systems on boats and floating platforms
- Sensors applied to boats: temperature, pressure, level, humidity, vibration, flow, position, heel and environmental parametres
- Acquisition and control devices: microcontrollers, compact PLCs, embedded modules and EDGE units for marine environment
- Integration of actuators and intelligent devices: relays, valves, switches, pumps, alarms and connected automatic systems
- IoT hardware selection criteria for marine environment: resistance to corrosion, vibration, humidity, temperature and energy consumption
- Data quality and measurement reliability: calibration, sampling rate, redundancy and error control in acquisition
03
Connectivity, communication protocols and data transmission in IoT architectures for connected boats
- Fundamentals of IoT networks applied to the nautical environment: local, shipped, coastal and remote communications
- Communication protocols used in marine IoT solutions: MQTT, HTTP, Modbus, CAN, NMEA and hybrid integration architectures
- Wi-Fi and wireless connectivity in boats: Wi-Fi, Bluetooth, Lora, Cellular networks, Satellites and Bus on boarded
- IoT Gateways and Data Aggregation: Signal Consolidation, Edge Processing, and Communication between on-board subsystems
- Latency management, availability and continuity of the link in maritime operations with mobility, variable coverage and energy restrictions
04
Platforms for visualisation, data analytics and automation of processes from IoT in boats
- Monitoring platforms and dashboards for monitoring critical variables of the boat in real time and in historical
- Design of control panels for navigation, energy consumption, maintenance, security and operational performance of on-board systems
- Management of alarms, events and automatic thresholds: configuration, prioritisation and response to operational deviations
- Basic and advanced IoT data analytics: trends, anomalies, correlations, and maintenance and operation decisions
- Automation of on-board functions using connected rules, sensors and actuators: pump control, ventilation, lighting and auxiliary systems
05
Capstone Project for design and implementation of an IoT solution applied to a real or simulated boat
- Definition of the case study: type of boat, operational needs, variables to be monitored and functional objectives of the IoT system
- Selection of sensors, devices, network architecture and display platform more suitable for the case raised
- Design of the flow of acquisition, transmission, storage and exploitation of operational data of the boat
- Development of the automation scheme, alarms and remote monitoring with safety and operational utility criteria
- Technical evaluation of the proposed solution: Reliability, scalability, maintenance, cybersecurity and value for nautical operation
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
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 troubleshoo
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 predictive maintenance of navigation systems
- 02Remotely monitor environmental conditions and vessel performance in real time
- 03Improve fuel efficiency through route optimization and energy management
- 04Automate and remotely control onboard security systems and alarms
- 05Implement navigation assistance systems that improve safety and reduce the risk of collisions
- 06Collect and analyze data to improve operational and strategic decision-making
Careers
Career Opportunities
01IoT Systems Maintenance Technician on Vessels: Installation, configuration, and troubleshooting of onboard IoT sensors, actuators, and communication platforms.
02Software Developer for Maritime IoT Applications: Creation of applications for remote monitoring, data analysis, and control of onboard systems.
03IoT Data Analyst for Shipping Operations Optimization: Interpretation of data collected by IoT sensors to improve fuel efficiency, cargo management, and route planning.
04IoT Solutions Implementation Consultant for the Maritime Industry: Advising shipowners and shipyards on the adoption of IoT technologies to improve safety, efficiency, and regulatory compliance.
05Onboard Systems Engineer with IoT Specialization: Design, development, and integration of electronic and control systems incorporating IoT technologies for various applications. maritime.
06IoT Project Manager in the Naval Sector: Planning, execution, and monitoring of IoT solution implementation projects on vessels and in shipyards.
07Cybersecurity Specialist for Maritime IoT Systems: Protecting onboard IoT systems against cyber threats and security vulnerabilities.
08Researcher 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.
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Questions
Entry Requirements
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 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 Degree in Computer Engineering, Telecommunications, Electronics or similar; or demonstrable professional experience in IoT development, embedded systems, or marine electronics.Technical Skills:Basic knowledge of programming (C++, Python), communication protocols (MQTT, TCP/IP), IoT platforms (Azure IoT, AWS IoT), databases (SQL, NoSQL), and electronics.Documentation:Updated CV, copy of degree (if applicable), project portfolio (optional), ID/Passport, cover letter.Technical Requirements (for online):Computer with internet access, progra
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