Economics and Data Science BSc

The programme equips students with a comprehensive understanding of both macroeconomic and microeconomic principles while integrating advanced data science methodologies. Core modules cover econometrics, machine learning, mathematics, and statistics, alongside practical training in programming languages applied to economic datasets. Learners develop skills in data handling, visualisation, and analytical modelling, preparing them for roles that require quantitative analysis and evidence‑based decision making. In the final year, an independent research project allows students to explore specialised topics and collaborate with industry partners, enhancing their problem‑solving capabilities and employability in fields such as finance, public policy, and technology. The curriculum is structured across three years, with mandatory topics in coding for economics, data analysis, and econometrics, complemented by optional modules that enable exploration of behavioural economics, health economics, and international business. Hands‑on workshops and project work simulate real‑world scenarios, ensuring graduates possess the technical expertise and domain knowledge sought by employers in both the public and private sectors.