COURSE CURRICULUM

The MSc in Informatics and Disaster Risk Management is structured to provide a comprehensive foundation in both the scientific understanding of natural hazards and the digital tools necessary for effective disaster risk reduction. In the first semester, students complete compulsory modules including Programming Fundamentals, Research Methods, Water and the Natural Environment, and Quantitative and Numerical Methods for Engineering. These courses develop essential skills in computational techniques, data analysis, environmental systems, and research methodologies, forming a strong base for applied disaster risk management. In the second semester, students progress to more specialised modules, including AI and Applied Machine Learning for Disaster Management, Geographic Information Systems and Data Management, Disaster Risk Management, and Flood Modelling and Management. These modules focus on the practical application of advanced informatics and digital technologies to analyse and mitigate the impact of natural hazards, equipping students with expertise in spatial data management, predictive modelling, and decision-making in disaster scenarios. The combination of foundational engineering and environmental knowledge with cutting-edge computational and analytical techniques ensures that graduates are prepared for careers in disaster risk reduction, environmental management, and global development. This program is particularly suited to professionals seeking to address the challenges of climate change and urbanisation through innovative, data-driven, and sustainable solutions.