Dr. Marina AlcoverAcademic director focused on measurable results and operational excellence in maritime education. Integrates IMO/STCW regulations and ISO 21001/9001 f
Masters · 1500 h · 11 modules
Master's in Innovation in Shipping and Maritime Transport
This program prepares you to lead the transformation of the sector. Learn to apply disruptive technologies, optimize global logistics, and develop sustainable business models. Master the latest trends in digitalization…
Duration1500 h
FormatOnline
Starts21 December
Places20 / 20
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Programme overview
What is the Master’s in Innovation in Shipping and Maritime Transport?
The Master in Innovation in Shipping and Maritime Transport
This program prepares you to lead the transformation of the sector. Learn to apply disruptive technologies, optimize global logistics, and develop sustainable business models. Master the latest trends in digitalization, automation, and alternative energies to drive efficiency and competitiveness in a constantly evolving market. This program provides you with the tools and knowledge necessary to become a change agent in the maritime industry.
This program prepares you to lead the transformation of the sector. Learn to apply disruptive technologies, optimize global logistics, and develop sustainable business models.
Differentiating Advantages
- Practical Approach: Real-world projects and innovative case studies.
- Networking: Connecting with industry experts and leaders.
- Skills Development: Project management, data analysis, and strategic decision-making.
- Global Perspective: Analyzing global trends and challenges in maritime transport.
- Flexibility: Online format with interactive resources and live sessions.
Programme type
Master's Degree
Study mode
Online
Duration
1,500 hours
Modules
11
Start date
08-12-2026
Programme highlights
- Innovation Strategies: Master the latest trends in digitalization, automation, and sustainability applied to the maritime sector.
- Advanced Management: Develop leadership and project management skills to drive innovation in your organization.
- Disruptive Technologies: Explore the potential of blockchain, IoT, big data, and artificial intelligence in the shipping industry.
- Case Studies: Learn through real-world case studies and simulations that will prepare you for market challenges.
- Global Networking: Connect with experts, leading companies, and professionals from around the world on our network Exclusive.
- Boost your career and transform the future of shipping with our Master's in Innovation.
Curriculum
Programme Structure
The programme is structured in 11 modules, listed below in order of study.
01
Advanced Strategies in Digital Logistics and Maritime Supply Chain Optimisation
- Advanced analysis of maritime logistics digitization: evolution, trends and disruptive technologies
- Mathematical models and algorithms for the optimisation of supply chains in maritime transport
- Implementation of integrated logistics management systems: ERP, TMS and collabourative shipping platforms
- Big data and predictive analytics applied to the planning and monitoring of port and maritime operations
- IoT and smart sensors for real-time container, cargo and naval fleet monitoring
- Blockchain in maritime logistics: traceability, security, smart contracts and fraud reduction
- Optimisation of customs clearance and digital document management to accelerate the supply chain
- Design and simulation of multinodal maritime logistics networks: hubs, intermodality and cargo flows
- Risk mitigation and logistic resilience strategies against global disruptions and operational contingencies
- Automation and Robotics in Port Operations: Smart Cranes, Autonomous Vehicles and Load/D Systems Download
02
Disruptive technologies and sustainability in the comprehensive management of fleets and maritime operations
- Fundamentals of disruptive technologies applied to the maritime sector: artificial intelligence, blockchain and big data in naval operations
- Implementation of digital twins in fleet monitoring and optimisation: advanced simulation and predictive predictive machine learning prediction
- Automation and robotics in comprehensive ship management: autonomous systems for maintenance, manoeuvreing and real-time surveillance
- Maritime Internet of Things (IoT): Smart sensor architecture and cloud communication for the collection and analysis of operational data
- Energy efficiency and green technologies: hybrid propulsion, shipped renewable energies and emission reduction strategies according to IMO 2020 and future regulatory frameworks
- Circular economy in construction and naval scrapping: technical criteria for material sustainability and minimisation of polluting waste
- Advanced software for the dynamic planning of ecological sea routes: integration of meteorological, oceanographic and maritime variables
- Intelligent management of the maritime supply chain through blockchain technology for traceability, document security and operational transparency
- Environmental regulation and regulatory compliance in the context of disruptive operations: Marpol, Ballast Water Management Convention and future emission and plastics regulations
- Evaluation and mitigation of the environmental impact associated with the port operation and maritime logistics through real-time monitoring technologies and predictive analysis
03
Disruptive Technologies, Sustainable Management and Digital Strategies for the Optimisation of Maritime Supply Chains
- Fundamentals of disruptive technologies in the maritime sector: definition, evolution and scope of application
- Blockchain and its impact on traceability and documentary security in maritime supply chains
- Application of artificial intelligence and machine learning for the prediction and optimisation of traffic and logistics demand
- Internet of Things (IoT) in real-time monitoring of containers, ships and smart ports
- Implementation of digital twins and advanced simulations for continuous improvement in maritime operations
- Sustainable Management Strategies: Carbon Footprint Reduction, Energy Efficiency and IMO 2020 Regulations and Future Regulations
- Circular Economy and Green Logistics in Maritime Transport: Pilot Cases and Sustainable Business Models
- Digitization of the maritime supply chain: integrated platforms and collabourative digital ecosystems
- Big data integration and advanced analytics for decision making and mitigation of operational risks
- Development of predictive models for the management of preventive and corrective maintenance in fleets Shipping Companies
04
Chartering, Contracts and Maritime Insurance: Commercial Strategy, Dynamic Pricing and Operational Compliance in Global Markets (Business and Shipping Operations)
- Chartering Basics: Chartering Contract Typologies (Time Charter, Voyage Charter, Bareboat Charter) and their impact on commercial operations
- Evaluation and negotiation of key terms in maritime contracts: Laytime clauses, delays, compensation and arbitration
- Advanced Dynamic Pricing Models in Chartering Markets: Demand Analysis, Bunker Volatility, and Geopolitical Factors
- Technological tools for contract management and commercial optimisation: digital platforms and big data analysis
- Operational Compliance Strategies: International Regulatory Compliance (IMO, BIMCO, ICS) and Document Management
- Maritime Insurance: Key Policies (Hull & Machinery, P&I, Freight, Demurrage) and Insurance Risk Management
- Technical and legal interpretation of maritime insurance clauses: exclusions, subrogation and claims
- Impact of international regulation on contracts and insurance: SDR, Incoterms 2020, and environmental regulations
- Integrated strategies for mitigating legal and operational risks in global shipping operations
- Pilots and contract simulations, pricing dynamics and insurance management in real market scenarios
05
Predictive and big data models for efficient and sustainable management of port traffic and logistics
- Big data fundamentals in the maritime industry: data sources, volume, variety and speed
- Architectures and platforms for massive data processing in ports and maritime terminals
- Machine learning models applied to port traffic prediction and logistic flows
- Advanced algorithms for route optimisation and real-time load planning
- Integration of IoT and maritime sensors in the capture and analysis of operational data
- Predictive modelling for the prevention of congestion, delays and bottlenecks in port infrastructures
- Artificial intelligence application to improve energy efficiency and reduction of polluting emissions in maritime logistics
- Time series analysis and statistical techniques for the dynamic management of traffic and port resources
- PILOTS Case Study: Implementation of Predictive Solutions in Large Terminals and Global Logistics Chains
- Regulatory frameworks, privacy and cybersecurity in the treatment of maritime big data
06
Advanced strategies in digital logistics, big data and sustainability for the comprehensive optimisation of maritime transport
- Fundamentals and evolution of digital logistics applied to maritime transport: from the traditional supply chain to comprehensive digitalisation
- Technological architectures for logistics management: IoT, cloud platforms, blockchain and integrated ERP systems
- Big data in shipping: massive collection of operational data, AIS, shipped sensors and external sources
- Advanced Big Data Analysis Techniques: Machine Learning, Predictive Algorithms, and Predictive Fleet Maintenance
- Smart sea route optimisation through real-time analysis and AI-based simulations
- Sustainability models in maritime transport: life cycle assessment, emission reduction and energy efficiency
- International regulations and environmental certifications: IMO, MARPOL, EDI and its operational and commercial implications
- Strategies for the transition to green sea transport: alternative fuels, clean technologies and partial electrification
- Integration of digital logistics with advanced port management: automation of terminals and intelligent control systems
- PILOTS cases and implementation analysis: digitization and sustainability in global operators and multifactorial optimisation
07
Technological innovation, sustainability and digital strategies for comprehensive optimisation in the maritime sector
- Introduction to Technological Innovation in the Maritime Sector: Historical Evolution and Emerging Trends
- Disruptive technologies applied to shipping: Blockchain, artificial intelligence, Internet of Things (IoT) and Big Data
- Digitization of maritime operations: integrated management platforms and real-time tracking
- Automation and autonomous systems in maritime transport: unmanned vehicles and smart ports
- Energy optimisation and sustainability: clean technologies, alternative fuels and reduction of polluting emissions
- International regulations and certifications on environmental sustainability in the maritime industry (MARPOL, IMO, EEDI)
- Efficient management of the maritime logistics chain through digital technologies: traceability and optimisation of resources
- Digital Strategies for Continuous Improvement in Maritime Operations: Predictive Analysis, Preventive Maintenance and Digital Twins
- Integration of cloud-based systems for real-time coordination and security of fleets and ports
- Development of innovative business models in the maritime sector: circular economy, digital services and strategic alliances
08
Digital transformation and automation in maritime operations: innovation, IoT and blockchain for efficiency and safety in global transport
- Fundamentals of digital transformation in the maritime industry: technological evolution, innovation drivers and sectoral challenges
- Architecture and components of the Internet of Things (IoT) in port and marine operations: sensors, communications networks and management platforms
- IoT implementation for real-time monitoring: load tracking, hull status, environmental conditions and energy efficiency
- Blockchain applied to maritime transport: cryptographic principles, smart contracts (smart contracts) and solutions for traceability and transparency in the supply chain
- Blockchain platform integration with document management and customs management systems to streamline logistics processes and reduce fraud
- Automation and robotics in maritime operations: automatic piloting systems, inspection drones and port autonomous vehicles
- Big data and predictive analysis in predictive maintenance and operational optimisation: algorithms, machine learning models and specialised analytical platforms
- Cybersecurity in maritime digital environments: risk assessment, protection protocols, regulations and best practices to prevent attacks and vulnerabilities
- Success stories and disruptive projects: Practical application of digitalisation and automation in commercial fleets, smart port terminals and neotechnologies
- Future Outlook: Emerging Trends, Artificial Intelligence, Marine Digital Twins and Horizon 4.0 in Global Shipping
09
Advanced strategies in digital transformation, automation and sustainability for comprehensive optimisation of the maritime sector
- Fundamentals and evolution of digital transformation in the maritime sector: trends, emerging technologies and disruptive models
- IoT systems implementation and intelligent sensors for real-time monitoring of shipping companies and supply chain
- Advanced automation: Integration of SCADA systems, remote control and robotics in port and navigation processes
- Digital platforms and digital twins: simulation, optimisation and predictive maintenance of maritime assets
- Big data and machine learning analytics applied to strategic and operational decision making in maritime transport
- Sustainability strategies: international regulations, emission management, energy efficiency and circular economy in the naval fleet
- Innovation in alternative fuels and clean technologies: green hydrogen, LNG, biofuels and fuel cell
- Design and implementation of ESG policies (Environmental, Social, Governance) in maritime companies
- Comprehensive optimisation through advanced planning systems: fleet management software, e-Navigation and smart routes
- Challenges and opportunities of secure digitization: Cybersecurity, data protection and operational resilience in the maritime ecosystem
10
Decarbonization and energy transition of shipping
- IMO Greenhouse Gas Strategy
- Efficiency technical and operational measures
- Alternative fuels: LNG, methanol, ammonia and hydrogen
- wind power assistance to propulsion
- European Emissions Trading System and Fueleu Maritime
- EEX and CII indexes
- Retrofit of existing fleets
- Green funding of ships
- Chartering contracts and emission clauses
- Decarbonization strategy of a shipping company
11
Master’s Final Project in Innovation in Shipping and Maritime Transport
- Fundamentals and conceptual framework of the final work: Definition of objectives, hypotheses and scope in the management of incidents in ships
- Introduction to Artificial Intelligence (AI) in maritime transport: advanced techniques of machine learning, deep learning and predictive analysis applied to the detection and resolution of incidents
- Integral architecture of the incident management system: modular design, scalability, interoperability with existing systems (ECS, ERP, ECDIS, IoT sensors)
- Big Data Integration in Maritime Operations: Collection, Storage, and Processing of Large Volumes of Multisource Data, including on-board sensors, telemetry, and external sources
- Methodologies for early identification and automatic incident classification: Clustering algorithms, anomaly detection and real-time alert systems
- Development of predictive models for the prevention of operational failures: historical analysis, simulation of scenarios and continuous learning for optimisation of maintenance and reduction of risks
- Decision-making optimisation and automation: intelligent workflow design, dashboard integration and decision support systems (DSS) for operational and management teams
- IA-based IA-based feedback and continuous improvement systems: Supervised learning with operational data and results validation for constant system evolution
- Technical aspects and practices of cybersecurity on maritime smart platforms: protection of data integrity, prevention of attacks and applicable regulatory compliance
- Operational and Economic Impact Assessment: Key Performance Metrics (KPIs), Cost-Benefit Analysis, and Executive Reporting for Stakeholders
Workload
Study Time and Workload
1500 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
Maritime professionals who want to lead the digital transformation and the adoption of new technologies in shipping.Executives and managers of shipping companies, ports, and terminals who seek to optimize their operations through strategic innovation.Naval and maritime engineers interested in developing disruptive solutions for the efficiency and sustainability of maritime transport.Entrepre
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 operational efficiency in ports
- 02Develop and implement digitalization strategies in the maritime supply chain
- 03Leading technological innovation projects in the maritime sector
- 04Managing risk and safety in complex maritime operations
- 05Designing innovative business models for the maritime industry
- 06Adapting business strategy to the challenges of climate change in maritime transport
Careers
Career Opportunities
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02Innovation Manager in Shipping Companies: Leadership in the implementation of new technologies and processes.
03Maritime Transport Strategy Consultant: Advising on route optimization, energy efficiency, and sustainability.
04Data Analyst in Maritime Logistics: Development of predictive models to improve decision-making.
05Specialist in Port Process Digitization: Implementation of innovative solutions in port terminals and operations.
06R&D Project Manager in the Maritime Sector: Management of research and development projects in new technologies and materials.
07Sustainability and Energy Expert in Maritime Transport: Development of strategies for emissions reduction and energy use. Renewables.
08Maritime Supply Chain Manager: Optimizing the supply chain through innovation and technology.
09Entrepreneur in the Maritime Sector: Developing new business models based on innovation in shipping and maritime transport.
Questions
Entry Requirements
Maritime transport.
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.
Maritime transport and logistics sector.
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
```htmlAcademic/Professional Profile:Bachelor's/Undergraduate degree in business, engineering, logistics, or science; Demonstrable professional experience in the maritime and transport sector.Specific Knowledge:Interest in innovation, digitalization, sustainability, and new technologies applied to shipping and maritime transport.Documentation: Updated CV, academic transcript/university degree, cover letter explaining interest in innovation in the maritime sector, ID/Passport.Skills: Analytical skills, strategic thinking, communication and teamwork skills, proactivity, and results
Questions?
Frequently Asked Questions
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