- the postgraduate student must demonstrate the ability to apply modern methods of artificial intelligence, machine learning and data analysis to solve scientific and applied problems in the field of navigation, vessel traffic management and ensuring shipping safety. The applicant must have the skills to search, process and interpret large arrays of navigation data obtained from ship and shore information systems.

- the postgraduate student must be able to justify the choice of artificial intelligence algorithms for the study of navigation processes, forecasting vessel traffic parameters, detecting anomalies in navigation data and supporting decision-making by shipowners. The applicant must be able to develop and evaluate artificial intelligence models taking into account the requirements of accuracy, reliability, cybersecurity and the peculiarities of the functioning of maritime transport systems.

- the postgraduate student must critically evaluate the scientific results and prospects for the use of artificial intelligence in autonomous shipping, intelligent navigation systems and the digital transformation of maritime transport, as well as adhere to the principles of academic integrity, ethics in the use of artificial intelligence and the requirements of international regulatory documents in the field of maritime shipping.

Section 1. Theoretical foundations of artificial intelligence and data analysis in maritime navigation (Basic concepts of AI. Machine learning and neural networks. Sources and features of navigation data (AIS, ECDIS, GNSS, radar systems).

Section 2. Methods and tools of artificial intelligence in scientific research of navigation processes (Prediction of vessel trajectories. Detection of anomalies and risk analysis, Intelligent support for navigational decision-making. Use of generative AI in scientific activities.).

Section 3. Artificial intelligence in the development of autonomous shipping and safe navigation (Autonomous and unmanned vessels. Cybersecurity of AI-based systems. Ethical and regulatory aspects of the use of AI in maritime transport. Prospects for the application of AI in maritime and inland waterway transport systems).