Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 12 months full-time
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.
2.1 Hons (or non-UK equivalent) in Economics, Finance, Engineering, Physics, or another highly mathematical discipline.
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.
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
A history of securing bright futures. The University of Glasgow established in 1451 is the fourth-oldest university in the English-speaking world, and...
