COURSE CURRICULUM

The MSc in Economics and Data Science at Sussex provides a rigorous foundation in both economic theory and practical data science skills, equipping students to analyse complex economic issues and financial markets. Core modules cover analytical methods in economics, microeconomic and macroeconomic analysis, and econometric methods, giving students a strong theoretical and quantitative grounding. Programming and data processing modules enable students to manipulate large datasets, conduct coding tasks, and visualise data effectively, while machine learning techniques are introduced to enhance predictive and analytical capabilities. Throughout the course, students develop the technical skills necessary to apply economic models to real-world scenarios, integrating theory with practical problem-solving. The program culminates in a dissertation in economics, allowing students to undertake independent research and apply their knowledge to address complex, policy-relevant questions. This combination of theoretical knowledge, quantitative expertise, and practical data science skills prepares graduates for a wide range of careers in economic policy analysis, financial markets, consultancy, and other data-driven roles. By the end of the course, students are equipped to interpret economic behaviour, evaluate policy interventions, and make evidence-based decisions, with a strong emphasis on the ethical and responsible use of data in economic analysis.