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
Remote Engine Monitoring Course
This course provides you with the essential skills to optimize performance and extend the lifespan of your assets. Learn to interpret real-time data, identify anomalies, and predict failures before they occur. Master predictive…
Duration300 h
FormatOnline
Starts7 December
Places20 / 20
Prior knowledge
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Programme overview
What is the Remote Engine Monitoring Course?
The Remote Engine Monitoring Course
This course provides you with the essential skills to optimize performance and extend the lifespan of your assets. Learn to interpret real-time data, identify anomalies, and predict failures before they occur. Master predictive analytics techniques, the use of IoT sensors, and the most advanced data management platforms. This program will make you an expert in proactive maintenance and operational efficiency.
This course provides you with the essential skills to optimize performance and extend the lifespan of your assets.
Differential Advantages
- Practical Implementation: sensor configuration, data transmission, and visualization on customized dashboards.
- Predictive Analytics: application of machine learning algorithms for early problem detection.
- Real-World Case Studies: analysis of concrete examples from different industries and engine types.
- Maintenance Optimization: strategies to reduce costs, minimize downtime, and improve planning.
- Access to Experts: personalized support and Q&A with industry professionals.
Programme type
Course
Study mode
Online
Duration
300 hours
Modules
5
Start date
08-12-2026
Programme highlights
- Total Mastery: Learn to diagnose and troubleshoot motor problems remotely, optimizing performance and minimizing downtime.
- Advanced Tools: Master the use of specialized software and sensors for real-time data collection and analysis.
- Efficiency and Savings: Reduce maintenance costs and unnecessary travel by anticipating failures and performing precise interventions.
- Professional Certification: Earn a certificate that validates your remote monitoring skills, boosting your career.
- Practical Application: Real-world case studies and simulations so you can immediately apply your knowledge in real-world environments. industrial.
- Optimize the lifespan of your motors and maximize productivity with efficient, remote monitoring.
Curriculum
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
01
Basics of remote monitoring, basic diagnostics and operational monitoring of motors
- Remote monitoring of engines and differences between face-to-face inspection, telemetry, preventive diagnosis and predictive maintenance
- Types of supervised engines: marine, industrial, generators, auxiliary engines and propulsion systems
- Critical variables: temperature, pressure, revs, consumption, vibration, voltage, current, hours of operation and alarms
- Relationship between remote monitoring, availability, security, energy efficiency and reduction of unexpected failures
- Main Components: Sensors, Switchboards, Gateways, Networks, Cloud Platforms, Control Panels and Alerts
02
Sensors, Data Acquisition and Technical Monitoring
- Temperature, pressure, level, flow, vibration, RPM, fuel consumption and electrical parametres
- Data acquisition units, IoT modules, loggers, gateways and connected controllers
- Connection with ECU, CAN bus, NMEA, Modbus, analog signals, digital signals and proprietary protocols
- Sampling frequency, precision, calibration, signal filtering and data quality captured
- Power supply, sensor protection, wiring, connectors and mounting in environments with vibration or humidity
03
Connectivity, data transmission and remote monitoring platforms
- Connectivity options: Wi-Fi, Ethernet, 4G/5G, Satellite, radio links, and internal embarked or industrial networks
- Data transmission in real time, by batch, on demand and in conditions of limited connectivity
- Monitoring platforms, dashboards, mobile apps, remote alarms and historical records
- User management, permissions, notifications, reports and secure remote access
- Basic cybersecurity: passwords, encryption, network segmentation, updates and access control
04
Data analysis, alarms, diagnosis and basic predictive maintenance
- Interpretation of temperature, pressure, consumption, vibration, RPM and engine load trends
- Setting thresholds, early alarms, critical alerts and maintenance warnings
- Identification of anomalous patterns: overheating, low pressure, excessive consumption, high vibration and electrical failures
- Remote Fault Diagnostics by Historical Comparison, Variable Correlation, and Event Review
- Preventive and predictive maintenance based on hours of use, real conditions, alarms and observed degradation
05
Applied Engine Remote Monitoring Project
- Case definition: marine engine, generator, auxiliary engine, small fleet, technical room or industrial installation
- Identification of critical variables, necessary sensors, operational risks and maintenance objectives
- Design of the monitoring architecture with sensors, gateway, connectivity, platform, alarms and users
- Data system configuration, dashboards, thresholds, reports, alerts and remote diagnostic criteria
- Preparation of the installation plan, tests, maintenance, basic cybersecurity and response to incidents
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
Maintenance engineers seeking to optimize engine performance and availability through real-time data analysis.Plant supervisors and operations managers interested in reducing operating costs, minimizing unplanned downtime, and improving overall efficiency.Maintenance service providers wanting to offer proactive and predictive solutions to their clients, differentiating themselves in the market
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
- 01Implement early warnings of failures
- 02Optimize engine performance through data analysis
- 03Reduce maintenance costs through predictive diagnostics
- 04Centralize engine status information for efficient management
- 05Ensure continuous engine availability
- 06Extending engine life through early problem detection
Careers
Career Opportunities
01Predictive Maintenance Technician: Analyzing engine data to anticipate failures and optimize maintenance.
02Remote Diagnostic Engineer: Detecting and resolving engine problems remotely, minimizing downtime.
03Energy Efficiency Consultant: Optimizing engine performance to reduce fuel consumption and emissions.
04Control Systems Specialist: Implementing and managing remote engine monitoring systems.
05Operations Supervisor: Monitoring engine performance in real time to ensure efficiency and safety.
06Development Researcher: Researching and developing new technologies and techniques for remote engine monitoring.
07Technical Trainer: Training personnel in the use and maintenance of remote engine monitoring systems.
08Technical Sales: Advising and selling remote engine monitoring solutions to companies.
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Questions
Entry Requirements
Remote engine monitoring involves the use of sensors and communication systems to track the performance and condition of an engine from a remote location, enabling early detection of potential problems and predictive maintenance.
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 allows for the early detection of problems, reducing downtime and maintenance 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 degree in Mechanical Engineering, Electronics, Industrial Maintenance, or related field; or demonstrable professional experience in engine maintenance and operation.Technical Knowledge:Solid understanding of engine operating principles (internal combustion, electric, etc.), instrumentation systems, sensors, and industrial communication protocols.Skills:Ability to analyze sensor data, identify anomalies, diagnose problems, and propose solutions. Familiarity with monitoring software and data analysis tools.Documentation:Updated CV
Questions?
Frequently Asked Questions
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