Combine essential economics problem-solving and data analysis tools, with programming, data visualisation and data handling skills, on this innovative single-honours degree.
Employability sits at the heart of this programme, recognising that handling and managing data is a crucial part of any modern economist’s toolkit. Economists collect and analyse data, use it to answer key economic questions, and communicate the results to policymakers and industry stakeholders. These skills are in high demand across a range of roles and sectors.
Research Projects: Final-year research project integrating economic theory and data science techniques to analyze real-world economic trends and policies.
Industry Placements: Opportunities to work with financial institutions, consulting firms, and government agencies on economic modeling and data-driven decision-making.
Group Projects: Collaborative coursework applying statistical modeling, econometrics, and machine learning to solve business and economic challenges.
Hackathons & Competitions: Participation in data-driven competitions focused on economic forecasting, market trends, and policy evaluation.
Master’s Degrees: MSc in Economics, Data Science, Financial Analytics, or Econometrics.
PhD Research: Specialization in economic modeling, predictive analytics, or financial technology (FinTech).
Professional Certifications: CFA (Chartered Financial Analyst), FRM (Financial Risk Manager), or data science credentials in Python, SQL, and R.
Access to internships and collaborations with central banks, financial firms, and economic research institutions.
Strong demand for professionals who can apply data science techniques to economic and financial problems.
Opportunities in consultancy, banking, public policy, and tech-driven financial services.
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