Finance and Data Analytics with a Year in Industry
Finance and data analytics is a combination that reflects the way financial markets and institutions now operate. Modern finance is deeply quantitative, and the ability to work fluently with large datasets, build analytical models and draw insights from financial data is increasingly central to roles across investment, risk management, corporate finance and financial technology. Data analytics brings the computational and statistical tools that complement the theoretical foundations of finance, creating graduates who can operate at the intersection of financial knowledge and technical capability.
At the University of Liverpool this four-year, full-time programme incorporates a year in industry, giving you direct professional experience in a finance or data-related organisation before you complete your studies. You will develop a thorough grounding in financial theory alongside skills in quantitative analysis, data science, programming and the tools used in modern financial practice. The programme's affiliations with respected professional bodies in investment and finance reflect its commitment to producing graduates whose training is aligned with professional standards and recognised by the sector.
Graduates are well positioned for careers in investment analysis, risk management, quantitative finance, corporate finance, financial technology, portfolio management, credit analytics and financial consulting. Banks, asset managers, insurance companies, fintech firms, corporate finance departments and the growing range of technology companies with financial products all employ graduates with this combination of skills. Many graduates pursue professional qualifications in investment analysis, quantitative finance, insurance or financial risk, building on the technical foundation the degree provides.
Others go on to postgraduate study in financial mathematics, data science, economics or finance, developing specialist expertise in areas where the combination of finance and analytics is particularly powerful.