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MSc Quantitative Finance

Course Description

This specialist course gives you a thorough understanding of the full range of quantitative methods needed for financial decision making.
– Learn how to forecast and manage risk and return
– Gain the skills to price any financial instrument
– Learn how to engineer new methods and financial products
– Build advanced knowledge of the main theoretical and applied concepts in quantitative finance, financial engineering and risk management, using current issues to stimulate your thinking
– Prepare for careers involving the design and management of new financial instruments, the development of innovative methods for measuring, or predicting and managing risk.

Recent recruiters
Bangkok Bank, Barclays Capital, Bloomberg, CIBC World Markets, Citigroup, Hewitt Associates, KPMG, MFC Fund, Schlumberger, Schneider, Tata Consultancy Services.

Course structure (All taught course units are 15 credits)

Semester 1
– Asset Pricing Theory
– Derivative Securities
– Stochastic Calculus for Finance

One elective unit from:
– Cross-Sectional Econometrics
– Portfolio Investment
– Scientific Computing

Semester 2
– Credit Risk Management
– Interest Rate Derivatives
– Time Series Econometrics

One elective unit from:
– Computational Finance
– Corporate Finance
– Credit Risk Management
– Generalised Linear Models and Survival Analysis
– Real Options in Corporate Finance
– Risk, Performance and Decision Analysis
– Simulation and Risk Analysis

Summer period
Dissertation (60 credits)
– Apply what you have learned in the taught part of the course
– Dissertations are supervised by both an academic expert and an industry practitioner
– Topics are aligned with the research interests of leading financial institutions from the City of London and internationally
– Industry-linked topics are subject to strict selection criteria (for example, quality of research proposal, strong CV and first semester exam performance).

Examples of recent dissertation project topics:
– Approximation of CVA/DVA/FVA
– FVA and MM – quantitative analysis/illustration
– Continuous rainbow options on commodity outputs
– Investigating dynamics and determinants of risk-neutral PDs
– Using hazard models to forecast corporate bankruptcy
– Analysing asset pricing implications from real options models
– Pricing sovereign CDS contracts
– Estimating liquidation probabilities of hedge funds

Open days

Masters information sessions

We are hosting a series of informal information sessions for undergraduates who are thinking about pursuing a Master’s course at Alliance Manchester Business School.

Our Masters courses aren't just for business graduates - from business analytics to operations, and marketing to finance, we have 17 courses to choose from. Join us to meet a careers advisor, admissions staff and current students and discover how our courses can boost your career prospects.

Also, a number of graduates have the opportunity to progress directly onto the Full-time MBA programme as a Young Potential Leader - could you be one of them?

Choose from the following dates:
Wednesday 15 February 2017, 12.00 - 1.30pm
Wednesday 15 March 2017, 12.00 - 1.30pm
Wednesday 26 April 2017, 12.00 - 1.30pm
Wednesday 10 May 2017, 12.00 - 1.30pm

All events are held in the Atrium, Alliance MBS East building (on the corner of Oxford Road and Booth Street East) - number 26 on the campus map.

For further information and to register your interest in attending, please see the Alliance MBS website: http://www.mbs.ac.uk/masters/meet-us.aspx

Visit the MSc Quantitative Finance page on the University of Manchester website for more details!

Entry Requirements

(2:1) degree from a UK university or the overseas equivalent. Ideally a degree in finance, economics, mathematics, statistics, physics, engineering, actuarial or decision sciences. Significant number of units in quantitative subjects, such as differential equations, econometrics or mathematical statistics in the final year of your degree with excellent results.TOEFL/IELTS may be required for non-UK students. Apply now! You can submit your application before you graduate.

Email Enquiry

Recipient: University of Manchester

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