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Programme Structure

To achieve an MSc degree students must complete modules to the value of 180 credits, including 90 credits of core taught modules, 30 credits chosen among the optional taught modules, and a 60-credit dissertation. 

Week -1

Induction

Term 1 (Autumn)

Core modules:
Advanced Regression Analysis (20 credits, taught module)
Mathematical Methods of Finance (20 credits, taught module)

Portfolio Theory and Risk Management (10 credits, taught module)

Optional modules:

C++ Programming with Applications in Finance (10 credits, taught module, continues into Term 2)

Bayesian Statistics (10 credits, taught module) 

Stochastic Processes (10 credits, taught module)  

Term 2 (Spring)

Core modules:
Financial Time Series (10 credits, taught module)
Stochastic Calculus and Black-Scholes Theory (20 credits, taught module)
Advanced Multivariate Analysis (10 credits, taught module)

Optional modules:
C++ Programming with Applications in Finance (continued from Term 1)
Survival Analysis (10 credits, taught module)

Numerical Methods for PDEs (10 credits, taught module)

Term 3 (Summer)

Core module:
Dissertation (60 credits, independent study module)

Edited 21 Feb 2012 - 17:07 by rr700

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