BSc Finance and Data Analytics
About this course
Finance and Data Analytics brings together two of the most in-demand skill sets in the modern economy, recognising that financial decision-making increasingly depends on the ability to work with large datasets, build quantitative models, and extract meaningful insights from complex information. Finance as a discipline concerns the allocation of capital, the pricing of risk, and the management of financial institutions, markets, and portfolios. Data analytics provides the technical methods, including statistical analysis, machine learning, and data visualisation, that allow these questions to be addressed rigorously and at scale. At the University of Liverpool, you will study this three-year full-time combination with a year abroad included in the programme. The year abroad gives you the opportunity to experience different financial markets, academic perspectives, and cultural environments, which can be particularly valuable in a field that operates globally. You will build a strong foundation in financial economics, corporate finance, investment, and financial markets, alongside rigorous training in statistical and computational data analysis. You will learn to work with financial datasets using appropriate analytical tools, to model financial relationships quantitatively, and to interpret and communicate your findings to non-specialist audiences. The degree is designed to integrate financial theory and quantitative methods from the outset, so you graduate able to work fluently across both. Graduates of Finance and Data Analytics are well positioned for roles in investment banking, asset management, financial risk, actuarial science, fintech, and management consulting. The quantitative and analytical skills the degree develops are also sought after in technology companies, economic research, and the public sector. Many graduates pursue postgraduate qualifications including master's degrees in finance, financial mathematics, or data science, as well as professional qualifications in investment analysis and risk management.
Syllabus & Modules
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