Course Overview
The Certificate in Big Data in Shipping programme provides participants with practical knowledge of how big data, analytics, and intelligent technologies are transforming the maritime and shipping industry.
The course explores the application of big data in vessel performance monitoring, port optimisation, maritime logistics, supply chain management, and operational decision-making. Participants will gain insights into how digital systems and data analytics can improve operational efficiency, reduce costs, enhance transparency, and support sustainability across shipping operations.
Through practical discussions and industry-focused learning, participants will develop the skills needed to analyse maritime data, integrate digital technologies into shipping processes, and support smarter, data-driven strategies that improve vessel operations, port performance, and overall maritime efficiency.
Agenda
Day — 1 Big Data Essentials
- Understanding sources of maritime data from onboard and shore-based systems.
- Exploring metadata, data schemas, and data lineage concepts in shipping operations.
- Understanding time-series data and granular maritime data analysis.
- Ensuring data quality, consistency, and reconciliation across operational systems.
- Understanding data governance practices and the role of data stewardship in maritime organizations.
Day — 2 Applied Maritime Analytics
- Applying analytics techniques for fuel and energy optimization in maritime operations.
- Improving voyage planning and port call efficiency through data-driven insights.
- Using safety analytics and near-miss reporting to enhance operational safety.
- Enhancing cargo tracking and supply-chain visibility using maritime data systems.
- Utilizing benchmarking and commercial analytics for performance improvement and strategic decision-making.
Day — 3 Operational Data Workflows
- Understanding sensor-to-edge-to-cloud data flow architectures in maritime operations.
- Exploring stream and batch data processing techniques for operational analytics.
- Implementing anomaly detection systems and automated alert mechanisms.
- Developing operational playbooks and decision-support frameworks using data insights.
- Embedding analytics and data-driven processes into operational standard operating procedures (SOPs).
Day — 4 Data Storage & Security
- Understanding data lake and data warehouse architectures in maritime data management.
- Balancing storage performance, scalability, and operational costs.
- Implementing security measures, access controls, and encryption key management.
- Exploring system integration methods and API connectivity for data exchange.
- Developing backup, disaster recovery, and resilience planning strategies for secure operations.
Day — 5 Trends, Compliance & Future
- Understanding data privacy regulations, GDPR requirements, and cross-border data considerations.
- Exploring cybersecurity threats and protection strategies in maritime data systems.
- Understanding industry standards and system interoperability for connected operations.
- Exploring emerging AI and Generative AI applications in shipping and maritime analytics.
- Developing roadmaps and business cases for implementing data-driven maritime projects.
Learning Outcomes
By the end of the Certificate in Big Data in Shipping course, participants will be able to:
- Understand the fundamentals of Big Data and evaluate organizational data maturity.
- Design end-to-end systems for collecting, storing, and utilizing maritime data effectively.
- Apply data analytics techniques to improve energy efficiency and operational performance.
- Manage data security, privacy, and regulatory compliance including GDPR requirements.
- Explore emerging technologies and evaluate the return on investment (ROI) of data-driven initiatives in shipping operations.
Who Should Attend
This programme is designed for maritime and logistics professionals interested in using data-driven strategies to improve operations and performance, including:
- Ship and Port Operations Teams
- Data Analysts and Business Intelligence Specialists
- Technical Managers in Maritime Operations
- Digital Transformation and Innovation Leaders
- Port and Terminal Planners seeking improved visibility and connectivity