COURSE CURRICULUM

The MSc Data Analytics with Banking and Finance course provides students with a comprehensive blend of analytical, computational, and financial expertise. The curriculum integrates core modules in data analytics, finance, and programming to build a deep understanding of how data-driven insights can shape strategic decisions in the financial industry. Modules such as Data Analytics: Tools and Techniques and Introduction to Programming for Big Data equip students with essential technical and programming skills for managing and interpreting large financial datasets. Financial Stability, Regulation and Sustainability, and Investment Management and Derivatives offer in-depth knowledge of global financial systems, risk management, and sustainable finance practices. The Computing Research Project enables students to apply theoretical and technical knowledge to a practical research problem, while Research Skills for Computing enhances their ability to analyse data and conduct academic investigations. The combination of coursework and practical assessments ensures that students develop both critical thinking and hands-on analytical competence. Graduates are prepared for data-driven roles across banking, finance, and fintech sectors, including data analyst, financial analyst, and business intelligence specialist. This program ultimately bridges the gap between finance and technology, fostering professionals capable of driving innovation through analytical and computational expertise.