COURSE CURRICULUM

The MSc Applied Data Science course is structured to provide students with a comprehensive foundation in both theoretical and practical aspects of data science, ensuring they gain the necessary skills to thrive in this rapidly evolving field. Core components of the program include training in programming and text analytics using R, alongside learning data analysis, statistical modelling, and experimental and observational data handling. Students also study data visualisation and databases with SQL, equipping them to process, interpret and present data effectively. A strong emphasis is placed on artificial intelligence and machine learning, with practical applications to real-world problems, as well as foundational mathematics tailored specifically for data science to support analytical work. The program balances technical training with professional development through research skills and employability support. Optional modules allow students to tailor their studies to suit individual interests, while the dissertation forms a significant part of the degree, enabling students to apply their knowledge to an independent research project. This combination of compulsory and optional modules ensures a solid grounding in data science methodologies while also offering the flexibility to explore specialist topics, preparing graduates for careers across industries that depend on data-driven insights.