COURSE CURRICULUM

The Data Analytics MSc modules provide a comprehensive and applied learning experience that builds strong analytical, technical and problem-solving skills. Students begin by developing a solid foundation in programming for data analytics, enabling them to work confidently with data, algorithms and analytical tools. Core modules in data analysis and visualization focus on transforming raw data into clear, meaningful insights through effective visual and analytical techniques that support informed decision making. Data mining and machine learning introduce methods for discovering patterns, building predictive models and extracting value from complex and large-scale datasets. Data warehousing and big data explores the storage, management and processing of high-volume data, equipping students with an understanding of modern data infrastructures. Statistical modelling and forecasting strengthens quantitative skills, allowing students to analyse trends, assess uncertainty and make reliable predictions. Financial mathematics provides an applied context for quantitative analysis, supporting decision making in financial and business environments. The MSc project represents a major independent piece of work in which students apply their knowledge to a real-world data analytics problem, demonstrating research capability, technical expertise and critical thinking. Together, these modules prepare graduates for professional roles in data analytics and related data-driven industries.