MSc-Postgraduate Diploma-Postgraduate Certificate in Financial Mathematics and Computation
ObjectivesTo acquire knowledge and understanding of financial mathematics and computational techniques for finance that will equip programme graduates to enter competitively the pool of potential employees of investment banks and other financial institutions; to be able to formulate problems from finance in mathematical terms, select and develop an appropriate numerical method, write a computer program to numerically approximate the problem, and present and interpret these results for a potential client.
Entry requirementsEntry requirements Normally at least a good second class honours degree in Mathematics, Physics, or Engineering in order to demonstrate that a candidate has a solid background in mathematics (calculus, linear algebra, ordinary differential equations, basics of probability and statistics). Alternative equivalent qualifications, including relevant professional experience, may also be considered. Candidates with insufficient mathematical background can apply for the one-year conversion course, upon successful completion of which they are guaranteed a place on the MSc course.
Academic titleMSc/Postgraduate Diploma/Postgraduate Certificate in Financial Mathematics and Computation
Course descriptionCourse modules
Core:
-Financial Mathematics I
-Financial Mathematics II
-C++ Programming
-Research Presentations in Financial Mathematics
-Dynamic Modelling and Simulation
-Computational Methods for Partial Differential Equations
-Dissertation (for MSc candidates only)
Option modules (two from the following including at least one from Mathematics):
-Operational Research
-Principles of Finance
-Financial Systems and Institutions
-Stochastic Numerics
-Wavelets
-Data Mining
-Statistical Methods
-International Money and Finance
-Financial Econometrics
-Corporate Finance
-Web Design
-Financial Risk Management
(Option modules are subject to availability in each particular year. Course titles and content are subject to change.)
Teaching and assessment methods
The modules are taught using a variety of methods including lectures, seminars and computer practicals. A mixture of coursework assignments, oral presentations and written examinations is used to assess the programme