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Different course options

Study mode

Full time

Duration

1 year

Start date

16-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type

Taught

Course Summary

Overview

You have an interest in quantitative finance. You want a career in areas such as trading, quantitative portfolio management, data analytics, risk management and academia

Studying quantitative finance looks at how mathematical, programming and statistical tools are used in the real world for the analysis and modelling of financial data.

The programme will equip students with the cutting-edge quantitative and computational techniques and strategies utilised by leading financial firms and will prepare students for future careers in a quantitative finance, trading or more general finance environment. The course aims to bridge the gap between quantitative models and financial decision making.

Professional Accreditations

The programme has been accepted into the CFA Institute University Recognition Program. It aligns with the Candidate Body of Knowledge (CBOK) - the core knowledge, skills, and abilities that are generally accepted and applied by investment professionals throughout the world.

Career Prospects

Introduction
This MSc will equip students with the cutting-edge quantitative and computational techniques and strategies used by leading financial firms. Today, all full-service institutional finance firms employ quantitative finance professionals in their operations as well as other boutique firms, such as hedge funds, ranging from 20 or fewer employees to several thousand, which specialise in quantitative trading alone.

Many IT software organisations also specialise in the interface between computing and finance and would be very attracted to graduates from this programme. After completion of this MSc there is a wide variety of roles available for graduates, some of which will suit those with strong mathematical skills who wish to use cutting-edge quantitative modelling techniques and work in collaboration with traders to develop bespoke financial products.

Modules

Asset Pricing
Trading Principles
Time-Series Financial Econometrics
Data Management
Advanced Analytics and Machine Learning
Corporate Finance or Market Microstructure
Computational Methods in Finance
Research Methods in Finance

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£8,360

International fees
Course fees for EU and international students

For this course (per year)

£23,100

Entry requirements

Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in Finance, Mathematics, Economics or other relevant quantitative subject. Science and Engineering disciplines will be considered where there is a significant mathematical component. Performance in relevant modules must be of the required standard. Applicants with a 2.2 Honours degree or equivalent qualification acceptable to the University and sufficient relevant experience will be considered on a case-by-case basis.