COURSE CURRICULUM

The MSc in Data Science and Analytics offers a comprehensive curriculum designed to equip students with the theoretical knowledge and practical skills necessary for a successful career in data science. Core modules such as Data Mining provide students with the ability to extract meaningful patterns and insights from complex datasets, while Neural Networks and Machine Learning explore advanced computational techniques used to model, predict, and solve real-world problems. Foundations of Data Science ensure that students develop a solid understanding of the mathematical, statistical, and computational principles underlying data analysis and algorithm development. Applied Data Science and Analytics focuses on the practical implementation of these concepts, allowing students to gain hands-on experience in managing, analysing, and visualising data. The Data Science and Analytics Masters Project provides an opportunity for in-depth independent research, enabling students to apply their knowledge to solve complex, real-world problems while honing critical thinking and problem-solving skills. The Team Research and Development Project fosters collaboration, teamwork, and project management abilities, reflecting the demands of professional data science environments. The Responsible Technology module ensures students are aware of the ethical, social, and legal implications of data science, promoting responsible practice. Together, these modules prepare graduates to meet the growing demand for skilled data science professionals across a wide range of industries.