MSc Quantitative Finance

Course Overview

Large investment banks such as HSBC and Barclays need people who can work on investment strategies and who can mathematically deduce how risky they are. This course is designed to give quantitative students a foothold in this financial world with the advanced, specialist skills that employers are seeking.

If you have a high level of mathematical ability, a background in a subject such as maths, engineering, physics or another highly quantitative subject and wish to move into finance, this could be the course for you.

Unlike other universities, we teach quantitative finance across four departments of Economics, Mathematics, Management Science, and Accounting and Finance. This means you are taught by specialists in each field, and the faculty member with the most quantitative interests in each department. We also limit our class sizes to deliver a quality teaching experience.

You will learn from your peers as you join Masters’ students from other disciplines such as Accounting and Finance, Management Science, Mathematics or Economics for each module.

Graduates of this course leave with a complete toolkit of skills, from big data mining techniques to Python programming. We also offer modules in Python Programming, Stochastic Calculus, Financial Econometrics and Market Risk Forecasting and Control.

As a LUMS student, you will have the chance to work with our careers team and access our global alumni network. Many of our graduates secure roles with high potential earnings. Recent graduates have moved on to work at organisations such as UBS, Credit Suisse and First Derivatives PLC. This course is also an excellent foundation if you are aiming for a PhD.