Master’s Degree in Underwater Robotics and Marine Drone Engineering
Why this master’s programme?
The Master’s in Underwater Robotics and Marine Drone Engineering
Immers you in the future of exploration and work in aquatic environments. Master the construction, programming, and operation of ROVs (Remotely Operated Vehicles) and marine drones, with applications in inspection, maintenance, research, and rescue. Develop skills in autonomous navigation, underwater image processing, and control of complex robotic systems. This program prepares you to lead the next generation of marine robotics engineers.
Differentiating Advantages
- Underwater Robotics Lab: Hands-on experimentation with real ROVs and marine drones.
- Advanced Simulations: Training in realistic virtual environments for complex missions.
- Real-World Projects with Companies: Collaboration on industrial and research challenges.
- Regulations and Safety Training: Compliance with international standards for underwater operations.
- Expert Faculty: Leading professionals in the marine robotics industry.
- Modality: Online
- Level: Masters
- Hours: 1600 H
- Start date:
Availability: 1 in stock
Who is it aimed at?
- Engineers and technicians who wish to specialize in the design, development, and maintenance of underwater robots and marine drones.
- Graduates in engineering (mechanical, electronic, robotics, naval) and marine sciences seeking advanced training in underwater exploration technologies.
- Professionals in the offshore, marine renewable energy, aquaculture, and defense sectors who need to acquire specialized knowledge in underwater inspection, repair, and maintenance.
- Researchers and scientists interested in developing new tools and methodologies for the exploration and monitoring of the marine environment.
- Entrepreneurs seeking business opportunities in the growing market for underwater robotics and drones mariners.
Flexibility and Practical Application
Combines advanced theory with practical projects and simulations, with online and face-to-face learning options to suit your professional needs.
Objectives and skills
Developing autonomous underwater robotic systems:
Integrate advanced perception and adaptive decision-making for autonomous navigation in complex and dynamic environments, optimizing energy consumption and mission efficiency.
Design and operate unmanned underwater vehicles (ROVs and AUVs):
“Mastering autonomous navigation and remote control, implementing stabilization algorithms and precise trajectory tracking.”
Manage underwater robotics projects while meeting deadlines and budgets:
“Establish a detailed project plan with clear milestones, efficient resource allocation, and proactive risk management, using agile or traditional methodologies depending on the nature of the project.”
Implement innovative solutions for the inspection and maintenance of underwater infrastructure:
“Develop and integrate ROV/AUV systems with advanced sensors and real-time data analysis for accurate structural condition assessment and optimization of repair strategies.”
Analyzing oceanographic data for the optimization of underwater robotic missions:
“Implement predictive analysis algorithms for currents and turbulence for route planning and dynamic adjustment of robot navigation parameters.”
Leading multidisciplinary teams in underwater exploration and rescue projects:
“Effectively manage communication and collaboration between divers, engineers, doctors, and surface personnel, prioritizing safety and goal achievement in high-pressure environments.”
Study plan – Modules
- Fundamentals of Autonomous Navigation: Localization Principles, Inertial Sensors, and Event-Based Navigation
- Mathematical Models of Underwater and Aerial Dynamics for Marine Drones: Equations of Motion and Applied Fluid Mechanics
- Architecture of Adaptive Control Systems: Online Identification, Predictive Control, and Self-Tuning under Variable Conditions
- Multi-Mode Sensor Fusion: Advanced Integration of Sonar, LiDAR, GNSS, IMU, and Camera Data for Accuracy in Underwater and Marine Environments
- Autonomous Route Planning and Optimization Algorithms: Heuristic Search, Reinforcement Learning, and Stochastic Optimization-Based Control
- Deep Neural Networks and Machine Learning for Improved Control and Adaptation in Unstructured and Dynamic Environments
- Uncertainty and Robustness Management: Statistical and Probabilistic Techniques to Ensure Safe Navigation in the Presence of Noise and Faults
- Navigation Systems
- Real-time: distributed architectures, latency minimization, and underwater communication protocols
- Attitude and depth control: design and simulation of advanced PID controllers, adaptive control, and fuzzy logic-based methods
- Simulators and virtual test benches: development, experimental validation, and benchmarking of navigation and control algorithms
- Integration of autonomous systems with base stations and unmanned vehicles: protocols, interoperability, and coordinated fleet management
- Safety and contingency protocols: fault detection, automatic recovery, and assisted manual navigation
- Energy optimization on subsea platforms: intelligent propulsion systems and resource management during long-duration missions
- Advanced case studies and real-world applications in industrial inspection, scientific exploration, and rescue operations in marine environments
- International regulations and technical standards applicable to autonomous systems in maritime environments and underwater
- Physical Foundations and Theories of Acoustic Propagation in Submarine Environments: Absorption, Reflection, Refraction, and Scattering in Complex Marine Environments
- Types and Characteristics of Acoustic Sensors: Hydrophones, Active and Passive Sonar, Acoustic Arrays, Multibeam Arrays, and 3D Acoustic Imaging Systems
- Optical Principles in Aquatic Environments: Light Absorption, Attenuation, Scattering, and Turbidity Effects on Submarine Optical Transmission
- Advanced Optical Sensor Technologies: Multispectral and Hyperspectral Cameras, Submarine LiDAR, Stereoscopic Vision Systems, and Underwater Photogrammetry
- Integration of Acoustic and Optical Sensors: Data Fusion Architectures to Enhance Situational Awareness and Accuracy in Object Detection and Classification
- Design of Embedded Systems for Real-Time Acquisition and Processing of Acoustic and Optical Signals Aboard Autonomous Underwater Vehicles
- Modeling and simulation of combined sensors: development of digital environments to evaluate performance under different ocean conditions and operational scenarios
- Acoustic signal processing algorithms: adaptive filtering, beamforming, correlation, and advanced techniques for locating and tracking underwater sound sources
- Underwater image and video processing: optical correction, noise reduction, contrast enhancement, and segmentation for automatic analysis of underwater scenarios
- Multisensor fusion: probabilistic frameworks, machine learning techniques, and neural networks for the robust integration of acoustic and optical data
- Energy and computational optimization: strategies to minimize consumption and maximize processing efficiency in onboard perception systems
- Calibration and verification protocols for sensors in the laboratory and in the field, ensuring accuracy and reliability in adverse and dynamic environments
- Application case studies: infrastructure inspection Underwater sensors, environmental monitoring, detection of submerged objects, and operation in critical missions.
Regulations and technical standards applicable to the use of sensors in underwater robots: interoperability, safety, and international certifications.
Future perspectives and technological trends in underwater perception for autonomous vehicles: nanosensors, bio-inspired sensors, and quantum systems.
(AUVs)
- Fundamentals of Autonomous Navigation: Principles of Dynamic Localization and Inertial Estimation in Submarine Environments
- Design and Architecture of Adaptive Control Systems for Marine Unmanned Vehicles: Modeling, Identification, and Estimation of Parameters in Real Time
- Advanced Multimodal Sensor Perception Algorithms: Integration of Multibeam Sonar, Underwater LiDAR, and Optical Systems for Environmental Mapping and Obstacle Detection
- Filters and Data Fusion Techniques: Implementation of Extended Kalman Filters (EKF), Particle Filters, and Machine Learning Methods for Improving Navigation Accuracy
- Robust Optimization of Adaptive Control: Predictive Control Strategies and Model-Based Control for Handling Uncertainties and Dynamic Disturbances in the Marine Environment
- Embedded System Architectures for Real-Time Processing: Selection of Microcontrollers, FPGAs, and DSPs for Submarine Platforms and Marine Drones with Constraints Energy
Deep neural networks and reinforcement learning applied to automated decision-making: design, training, and validation in simulators and real-world environments
Advanced underwater and coastal navigation techniques: inertial navigation, use of acoustic positioning systems (LBL, SBL, USBL), and surface GNSS
Underwater communication protocols for data reception and transmission: acoustic modulation, error correction techniques, and underwater ad hoc networks
Safety and resilience in autonomous systems: early fault detection, functional redundancy, and recovery mechanisms to ensure continuous operation
Case studies and implementation studies: analysis of real missions with autonomous underwater vehicles and marine drones, integration and optimization of navigation and control systems
Advanced simulation and bench testing: use of digital environments and hardware in the loop (HIL) for validation and optimization of control and perception
- Regulations and standards applicable to autonomous underwater platforms: international standards and best practices for certification and safe operation
- Fundamentals of hybrid propulsion for underwater vehicles: thermodynamic principles, electric and internal combustion engines, mechanical and electrical integration.
- Design and optimization of combined propulsion systems: component selection, performance analysis, power balance, and energy efficiency.
- Advanced onboard energy management: storage with high-density batteries, supercapacitors, fuel cells, and recharging systems in marine environments.
- Dynamic modeling and simulation of energy behavior in ROVs and marine drones: specialized software, integration of environmental and operational variables.
- Underwater communication protocols: acoustic, optical, and electromagnetic; Comparison of technologies, range, latency, and bandwidth.
Design of communication networks for coordinated operations: network topologies, routing, redundancy, and cybersecurity in hostile environments.
International regulations and standards for the certification of underwater vehicles: classification, laboratory testing, and real-world trials.
Modular and scalable design methodologies for energy and propulsion systems to facilitate maintenance, upgrades, and industrial replicability.
Integration of sensors for real-time monitoring of critical parameters: energy flow, fault diagnosis, overload prevention, and thermal management.
Advanced case studies: comparative analysis of hybrid systems applied in scientific, military, and commercial missions, with results on efficiency and autonomy.
- Advanced Fundamentals in Hybrid System Design: Mechanical, Electronic, and Software Integration for Underwater Applications
- Autonomous Control Architectures: Modeling, Decision-Making Algorithms, and Navigation Systems in Dynamic and Unstructured Environments
- Design and Selection of Specialized Sensors and Actuators: Multibeam Sonar, Underwater LiDAR, Hyperspectral Cameras, and Integrated Inertial Measurement Units (IMUs, DVLs)
- Development of Robust, Real-Time Communication Protocols for Hybrid Vehicles Under High Attenuation and Underwater Acoustic Noise Conditions
- Energy Optimization and Battery Management: Storage Technologies, Power Efficiency, and Energy Recovery for Extended Operations
- Modeling and Numerical Simulation of the Dynamics and Behavior of Hybrid Systems: CFD Simulations and Fluid-Structure Interaction Analysis
- Implementation of Advanced Artificial Intelligence and Machine Learning Algorithms for Recognition of
- Integrated mission planning strategies: from exploration to inspection and predictive maintenance in complex subsea infrastructures
- Safety and redundancy protocols: design of critical systems with fault tolerance and autonomous recovery mechanisms in adverse scenarios
- Case study: design of an automated hybrid system for subsea pipeline inspection with structural analysis and anomaly detection tools
- Fundamentals of autonomous navigation: kinematics and dynamics of underwater platforms and marine drones, advanced mathematical modeling, and predictive control.
- Simultaneous Localization and Mapping Algorithms (SLAM): integration of multi-modality sensors for dynamic, real-time underwater map building.
- Advanced sensor perception: utilization and calibration of multibeam sonar systems, underwater LIDAR, hyperspectral cameras, and IMU inertial measurement units (IMUs) for data fusion.
- Sensor fusion and signal processing: machine learning techniques for improved detection, object classification, and noise mitigation in complex environments.
- Acoustic positioning systems (USBL, LBL, SBL) and their integration with GNSS on surface drones to ensure accuracy in deep-sea autonomous maneuvers.
- Acoustic propagation models in groundwater: attenuation analysis,
- Refraction and multipath effects for communication and positioning optimization.
- Advanced energy management: design and optimization of hybrid energy systems (high-density batteries, fuel cells, and marine renewable energy) for autonomous extension in extended missions.
- Intelligent energy management strategies: adaptive algorithms for real-time monitoring, load distribution, and extended lifespan of unmanned platforms.
- Implementation of redundant control systems and energy safety protocols to minimize critical failures in deep-sea operations.
- Simulation and evaluation in digital environments: use of digital twins for behavior prediction, trajectory optimization, and validation of autonomous systems under varying conditions.
- Advanced collaborative navigation patterns among swarms of marine and underwater drones using vehicle-to-vehicle (V2V) communication networks and distributed decision-making strategies.
- International regulations and standards relating to autonomous underwater systems and marine drones, with an emphasis on operational safety, interoperability, and environmental compliance.
- Integration of artificial intelligence and deep learning techniques for continuous improvement in perception, navigation, and energy management, emphasizing adaptability to dynamic marine environments.
- Practical development projects: design, implementation, and validation of prototypes of advanced autonomous navigation and energy management systems on real and simulated platforms.
- Fundamentals of Autonomous Navigation: Design principles and control algorithms for autonomous systems in underwater and marine environments, including kinematic and dynamic models applied to unmanned vehicles.
- Integrated Navigation Architecture and Sensors: Detailed study of inertial measurement units (IMUs), marine GNSS systems, Doppler sensors (DVLs), multibeam sonar, and acoustic sensors for real-time data fusion and precise positioning.
- Advanced Estimation Filters: Theory and practical application of extended Kalman filters (EKFs), particle filters, and SLAM (Simultaneous Localization and Mapping) algorithms for improved perception and navigation in dynamic and structurally complex environments.
- Advanced Sensory Perception: Integration and processing of data from optical (LIDAR, underwater cameras), acoustic, and magnetic sensors for three-dimensional reconstruction of the environment and obstacle detection. and real-time objectives.
- Signal Processing Algorithms: Advanced filtering techniques, spectral analysis, pattern recognition, and machine learning applied to sensor interpretation and autonomous decision-making on underwater platforms and marine drones.
- Comprehensive Energy Management: Design and optimization of hybrid energy systems (lithium batteries, fuel cells, marine renewable energy) with intelligent consumption and recharging strategies to extend the operational range of vehicles.
- Energy Control Systems and Intelligent Batteries: Real-time monitoring, load balancing, predictive diagnostics, and safety protocols to maximize lifespan and energy efficiency on underwater and marine aerial platforms.
- Underwater and Aerial Communication and Telemetry: Technologies for data transmission in challenging physical environments, including underwater acoustics, marine radio frequency, and adaptive communication protocols to ensure integrity and low latency. Latency.
- Integration of navigation and energy systems with modular architecture: Development of modular platforms that allow for scalability, simplified maintenance, and continuous technological upgrades without loss of operational functionality in the field.
- Simulation and field testing: Use of advanced simulated environments and test benches for the validation of autonomous navigation systems, multisensor perception, and energy management under varied operating conditions and environmental stress.
- Fundamentals of Modular Architectures: Theory, Benefits, and Standards Applied to Submarine Systems and Hybrid Marine Drones
- Intelligent Design for Autonomy: Integrating AI for Adaptive Decision Making and Learning in Dynamic Marine Environments
- Advanced Materials and Their Impact on Modularity: Composites, Lightweight Alloys, and Antifouling Coatings for Submersible Vehicles
- Communication Interfaces Between Modules: CAN Protocols, Industrial Ethernet, and Underwater Acoustic Communication Systems
- Distributed Energy Architectures: Solid-State Batteries, Modular Storage, and Intelligent Energy Management in Hybrid Vehicles
- Modular Propulsion and Hybrid Systems: Design, Optimization, and Adaptive Control of Electric Motors and Hydraulic Propellers
- Integrated Sensors and Data Fusion: Modular Configuration of Acoustic, Optical, Chemical, and Magnetometric Sensors for Advanced Navigation and Mapping
- Functional Redundancy and fault tolerance in modular systems: advanced diagnostic, recovery, and predictive maintenance techniques
Digital simulation and modeling of modular architectures: CAD/CAE tools, digital twins, and performance analysis under real underwater conditions
Implementation of underwater IoT communication protocols for real-time control, telemetry, and cybersecurity in hybrid autonomous vehicles
International regulations and technical standards applicable to modularity and intelligent design in underwater vehicles and marine drones
Advanced case studies: development and deployment of modular autonomous vehicles for offshore inspection, environmental monitoring, and rescue operations
Agile methodologies in the development of modular prototypes: multidisciplinary integration and project management in underwater robotics
Energy optimization through modular design: strategies to maximize autonomy and reduce environmental impact in extended missions
System interoperability and scalability: design of modular platforms with adaptable expansion capacity for multiple scientific and industrial applications
- Fundamentals of Underwater Navigation: Physical Principles and Specific Challenges in Deep and Variable Aquatic Environments
- Acoustic Positioning Systems: Mechanisms, Accuracy, and Calibration of LBL (Long Baseline), SBL (Short Baseline), and USBL (Ultra Short Baseline)
- Multi-Sensor Integration for Autonomous Navigation: IMU, DVL (Doppler Velocity Log), Pressure Sensor, and Sonar Data Fusion
- Advanced Sensor Perception: Multibeam Sonar Technologies, Underwater Photogrammetric Cameras, and LiDARs Adapted for Underwater Vehicles
- Real-Time Processing of Acoustic and Optical Signals for Obstacle Detection, Classification, and Mapping in Turbid Environments
- Navigation and Autonomous Control Algorithms: Implementation of Extended Kalman Filters, SLAM (Simultaneous Localization and Mapping), and other similar technologies. Mapping and machine learning-based navigation
Optimized energy management for marine vehicles: renewable energy storage and generation systems adapted to underwater platforms and marine drones
Energy management systems: real-time monitoring, load balancing, and mitigation strategies for failures or adverse environmental conditions
Design and configuration of robust electronic architectures to ensure continuous and redundant operation under the pressure and corrosion of the underwater environment
Underwater communication protocols: acoustic and optical technologies for high-speed, low-latency data transmission
Human-machine interaction for remote monitoring and control: advanced interfaces and haptic and visual feedback systems at land-based control stations
Route optimization and mission planning: adaptive algorithms to minimize energy consumption while maintaining efficiency on complex trajectories
Redundancy and fault tolerance in navigation and sensor systems to ensure operational integrity in extended missions
- Regulations and technical standards applicable to autonomous underwater vehicles in the maritime and defense industries
- Advanced case studies: practical analysis of successful autonomous missions integrating navigation, perception, and energy management systems in the underwater context
- Definition and scope of the final project: objectives, technical specifications, and regulatory requirements applicable to autonomous underwater systems in deep-sea environments
- Conceptual design and architecture of autonomous underwater robotic systems: selection and sizing of sensors, actuators, propulsion systems, and high-pressure resistant structures
- Advanced control systems engineering: design of autonomous navigation, localization, and mapping (SLAM) algorithms in complex aquatic environments, and adaptive control in the face of environmental variability
- Integration of underwater communication systems: acoustic, optical, and electromagnetic technologies for real-time data transmission and remote control
- Dynamic simulation and modeling of underwater vehicles: numerical and physical evaluation of hydrodynamic and energy behavior for performance and autonomy optimization
- Development of safety and redundancy protocols: risk analysis, fault tolerance, automatic recovery strategies, and certification in compliance with international standards (ISO, IEC)
Implementation of artificial intelligence and machine learning systems for autonomous decision-making in the inspection, exploration, and maintenance of underwater infrastructure.
Advanced non-destructive testing (NDT) methodologies using autonomous marine drones: ultrasound techniques, underwater LIDAR, and computer vision.
Planning and execution of operational campaigns in deep-sea environments: logistics, risk analysis, deployment and recovery protocols for robotic units.
Procedures for the certification and approval of underwater robotic systems: technical criteria, laboratory and sea trials, performance validation, and environmental compliance.
Technical documentation and final project presentation: preparation of technical reports, results reports, preparation for defense, and publication at scientific conferences.
Industrial and research applications: practical case studies in oil and gas, marine conservation, underwater archaeology, and environmental monitoring. advanced
Career prospects
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- ROV and AUV Design and Development Engineer: Design, prototyping, and testing of autonomous and remotely operated underwater vehicles.
- Underwater Navigation and Control Systems Specialist: Development and implementation of control algorithms, positioning, and navigation systems for underwater robots.
- Marine Drone Operations Engineer: Planning, execution, and analysis of missions using marine drones for inspection, surveillance, or research.
- Underwater Equipment Maintenance and Repair Engineer: Diagnosis, repair, and maintenance of ROVs, AUVs, and related equipment.
- Underwater Robotics Research Scientist: Development of new technologies and applications for the exploration and study of the marine environment.
- Underwater Robotics and Marine Drone Consultant: Technical consulting for companies and organizations in the implementation of robotic solutions for marine applications.
- Underwater Robotics Project Manager: planning, coordination, and supervision of underwater robot development and deployment projects.
- Underwater Data Processing and Machine Vision Specialist: development of algorithms for the analysis of images and data collected by underwater robots.
- Technical Sales and Marketing Engineer: marketing of ROVs, AUVs, and services related to underwater robotics and marine drone engineering.
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Entry requirements
Academic/professional profile:
Bachelor’s degree in Nautical Science/Maritime Transport, Naval/Marine Engineering or a related qualification; or proven professional experience on the bridge/in operations.
Language proficiency:
Functional Maritime English (SMCP) recommended for simulations and technical materials.
Documentation:
Updated CV, copy of qualification or seaman’s book, national ID/passport, motivation letter.
Technical requirements (for online):
Device with camera/microphone, stable internet connection, monitor ≥ 24” recommended for ECDIS/Radar-ARPA.
Admissions process and dates
Online
application
(form + documents).
Academic review and interview
Admissions decision
Admissions decision
(+ scholarship offer if applicable).
Place reservation
(deposit) and enrolment.
Induction
(access to the virtual campus, calendars, simulator guides).
Scholarships and financial support
- Master Underwater Robotics: Learn to design, build, and operate robots for exploration and maintenance in marine environments.
- Cutting-Edge Marine Drone Engineering: Specialize in the development of unmanned aerial vehicles for maritime applications.
- Key Technologies: Delve into machine vision, autonomous navigation, underwater communication, and control systems.
- Real-World Practices: Participate in hands-on projects and simulations that will prepare you for industry challenges.
- Career Opportunities: Boost your career in the offshore industry, marine research, infrastructure inspection, and more.
Testimonials
During the Master’s in Underwater Robotics and Marine Drone Engineering, I developed an autonomous control system for an ROV for inspecting oil platforms, which reduced inspection time by 30% and increased the accuracy of data collection by 15%, which was successfully implemented by a leading company in the sector.
During my Master’s degree in Naval Technological Research and Innovation, I developed a route optimization system for merchant ships based on machine learning. This system predicted the most efficient routes with 95% accuracy, taking into account weather conditions and maritime traffic, and significantly reduced fuel consumption and CO2 emissions. This project received an award from the naval association and is currently being implemented by a major shipping company.
I applied the knowledge from the Master’s in Underwater Robotics and Marine Drone Engineering to develop an automated inspection system for oil platforms, reducing downtime by 40% and maintenance costs by 25%, resulting in significant savings for the company and increased operational safety.
During the Master’s in Underwater Robotics and Marine Drone Engineering, I developed an autonomous control system for an ROV for inspecting oil platforms, which reduced inspection time by 30% and improved the accuracy of data collection, resulting in considerable cost savings for the company where I did my internship.
Frequently asked questions
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.
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.
- Definition and scope of the final project: objectives, technical specifications, and regulatory requirements applicable to autonomous underwater systems in deep-sea environments
- Conceptual design and architecture of autonomous underwater robotic systems: selection and sizing of sensors, actuators, propulsion systems, and high-pressure resistant structures
- Advanced control systems engineering: design of autonomous navigation, localization, and mapping (SLAM) algorithms in complex aquatic environments, and adaptive control in the face of environmental variability
- Integration of underwater communication systems: acoustic, optical, and electromagnetic technologies for real-time data transmission and remote control
- Dynamic simulation and modeling of underwater vehicles: numerical and physical evaluation of hydrodynamic and energy behavior for performance and autonomy optimization
- Development of safety and redundancy protocols: risk analysis, fault tolerance, automatic recovery strategies, and certification in compliance with international standards (ISO, IEC)
Implementation of artificial intelligence and machine learning systems for autonomous decision-making in the inspection, exploration, and maintenance of underwater infrastructure.
Advanced non-destructive testing (NDT) methodologies using autonomous marine drones: ultrasound techniques, underwater LIDAR, and computer vision.
Planning and execution of operational campaigns in deep-sea environments: logistics, risk analysis, deployment and recovery protocols for robotic units.
Procedures for the certification and approval of underwater robotic systems: technical criteria, laboratory and sea trials, performance validation, and environmental compliance.
Technical documentation and final project presentation: preparation of technical reports, results reports, preparation for defense, and publication at scientific conferences.
Industrial and research applications: practical case studies in oil and gas, marine conservation, underwater archaeology, and environmental monitoring. advanced
Request information
Complete the Application Form.
Attach your CV/degree certificate (if you have it to hand).
Indicate your preferred cohort (January/May/September) and whether you would like the hybrid option with simulator sessions.
An academic advisor will contact you within 24–48 hours to guide you through the admission process, scholarships, and compatibility with your professional schedule.
Faculty
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.