The course is designed to give you a thorough background in the latest advances in theoretical and mathematical financial economics.
Who is it for?
This course is designed for anyone who wants to undertake rigorous training in financial economics and mathematics, either immediately after completion of an undergraduate degree or as a mid-career professional.
You have the option of studying full-time over the course of one year or part-time over the course of two.
The aim of this course is to develop your critical and analytical abilities in mathematics and economics and to prepare you academically for a career as a financial economist or quantitative analyst.
The dissertation track also serves as a stepping stone to an Economics or Finance PhD.
Teaching and learning
The Financial Economics MSc course is delivered through a flexible combination of lectures, seminars and computer lab sessions. Lectures introduce you to the key theories, concepts and economic models. In seminars you have the opportunity to solve applied problems, analyse case studies and make presentations of research published in leading academic journals.
The computer labs provide you with practical experience of using computer software to perform calculations and conduct realistic simulations. In addition, econometric methods are taught in lab sessions, so you have the opportunity to apply econometric software to empirical research and financial market estimations.
When appropriate, "practitioner slots" - such as research seminars conducted by external financial experts, presentations by invited academics etc. - will be incorporated into module delivery.
We also offer pre-sessional induction courses on economic analysis for students who need to build up their background in the fundamental aspects of financial economics.
Teaching takes place over two terms, from September to June. Full-time students who pass all the taught modules during the main exam sessions finish the programme at the end of September when they submit their dissertation or literature review. Full-time students who successfully complete the taught modules in the August resit exam session submit their dissertation or literature review in December.
Part-time students complete there modules over the course of four terms from September to June before undertaking their dissertation or literature review.
Assessments are a combination of unseen written examinations (70% for each module) and coursework (30% for each module).
You will take two 30 credit taught modules, four 15 credit taught modules and will accrue 60 extra credits through one of the following routes: -Literature survey: two extra elective taught modules of 15 credits each and a literature survey (Economics Literature Survey) worth 30 credits -Dissertation: a 60 credit dissertation (Economics Research Project).
Note: It is not possible to give exact hours per week because these can vary from one term to the other depending on which electives the students choose.
Literature survey route modules Core modules: -Financial Markets (30 credits) -Quantitative Methods (30 credits) -Economics Literature Survey (30 credits)
Elective modules: -Economics of Regulation and Competition (15 credits) -The Economics of Micro-Finance (15 credits) -Economics and Business Strategy (15 credits)
Electives On the dissertation route you will choose two modules from group one and one module from group two. On the literature survey route you will choose two modules from group one, two modules from group two and two further electives from either group or from the route specific electives. Group one -Financial Derivatives (15 credits) -Asset Pricing (15 credits) -Corporate Finance (15 credits)
Group two -Quantitative Finance with Matlab (15 credits) -International Macroeconomics (15 credits) -Corporate |nvestment under Uncertainty (15 credits)
On completing the Masters in Financial Economics course you will have a range of employment possibilities, to some extent determined by the electives you choose.
For example, you may work in the financial industry as a consultant, banker, quantitative analyst, or in the health industry as a financial analyst, or in any industry that requires a financial or industry analyst.
You should have some mathematical background (A-level, IB, AP or any other equivalent secondary school qualification) and one of the following: an upper second class (or equivalent) undergraduate degree in mathematics, OR economics, OR a related discipline (e.g. finance, physics, engineering, computer science). Students with a good lower second class degree in one of the above disciplines might be considered on a case-by-case basis.
18 October 2016
Recipient: City, University of London
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