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University of Glasgow: Financial Engineering

Institution	University of Glasgow View institution profile
Department	Adam Smith Business School View department profile
Web	www.gla.ac.uk/schools/business
Study type	Taught

Summary

Learn the skills needed for data-driven decision-making in finance. This Masters in Financial Engineering combines finance, mathematics, and computational techniques with real-world industry engagement. You will gain hands-on experience with industry standard tools such as Python, R, and MATLAB. Graduates will be ready to excel in high-demand roles across the finance and tech industries.

WHY THIS PROGRAMME - Explore cutting-edge topics in financial engineering, including stochastic modelling and risk analytics. This programme merges finance and technology to prepare you for complex challenges of the modern financial landscape.

• Master essential software like Python, R, and MATLAB through hands-on projects and labs. Analyse real world financial data and derive actionable insights.

• Engage with industry experts via guest lectures and real-world industry projects.* Learn valuable lessons from professionals in hedge funds, investment banks, and asset management, ensuring you are industry ready.

• Participate in interactive workshops that connect theory to practice. Work on projects related to asset pricing and portfolio management to strengthen your skills.

• Prepare for diverse careers in finance and technology. With your financial engineering expertise, you can pursue exciting roles in banks, investment firms, consulting agencies and risk management.

*Industry Projects are not guaranteed. All applications are subject to availability and review processes. We will support candidates with their applications before the deadline but if unsuccessful, they can opt for a research proposal for their dissertation. Students can also secure their own projects with approval from academic and/or professional services.

PROGRAMME STRUCTURE You will take four core and two optional courses and complete a substantial independent piece of work, normally in the form of a dissertation.

Core courses Agent-based Modelling in Finance Applied Computational Finance Financial Econometrics Macro-Finance

Optional courses Climate Finance and ESG Investment Financial Risk Analytics High-frequency Trading Investments & Portfolio Management Machine Learning in Finance with Python Mathematical Finance Modelling and Forecasting Financial Time Series

Research project Applied Project

CAREER PROSPECTS This programme will help prepare you for a career in government, international organisations or financial institutions working as derivative traders, quantitative traders or quantitative risk managers. Recent graduates have taken up positions in various investments banks. We have a dedicated careers and employability team who provide 1-2-1 support and advice, group workshops, employer events on campus and networking opportunities throughout the year to help you with your career prospects.

MSc