University of Southampton Master of Science in Banking and Finance
University of Southampton

University of Southampton

Master of Science in Banking and Finance

Southampton, United Kingdom

MSc

12 months

Full time

Sep 2027

GBP 35,000 *

On-Campus

* EU and international students pay

Key Summary

About: The MSc in Banking and Finance at The University of Southampton combines theory and practice to prepare you for senior finance roles. You’ll study digital finance, FinTech, AI in banking, corporate governance, banking regulation, risk management and macroeconomic influences. You’ll use Stata, Python and Bloomberg terminals. It offers merit and competitive scholarships.

Career Outcomes: Graduates qualify for senior roles in banking, investment banking, risk management, financial analysis, corporate finance, digital innovation and regulatory policy. The curriculum maps to the GARP FRM Part I and aligns with central banks, international organizations and financial institutions, making you attractive to employers worldwide.

This MSc Banking and Finance Studies prepares you for success in senior finance and banking roles by combining current theory with real-world practice. You'll develop expert knowledge of the relationship between banking, finance, and the wider economy, with particular focus on how digital technologies, artificial intelligence, and FinTech are transforming financial services. Through quantitative evaluation methods and historical perspectives, you'll learn to identify the latest trends and assess real-world scenarios. Core topics include digital finance and FinTech company financing, AI in banking, company financing, corporate governance, and banking sector regulations. You'll explore both micro aspects like financial risk management and macro factors such as global economic influences and digital currencies. Optional modules let you specialise in areas like banking in developing countries, behavioural finance, fixed income analysis, and investment strategies. You'll gain hands-on experience with industry-standard tools including Stata for data modelling and Python for computational finance, plus access to Bloomberg terminals in the university's financial laboratory.