This specialist degree for students and professionals provides practical and theoretical training in areas of major financial interest, in particular investment management and corporate finance. Examples of topics covered include: optimal capital structure, mergers and acquisitions, portfolio management, risk management, derivatives and finance microstructure. We expect graduates from this programme to enter into a career in finance or related areas including financial institutions, financial regulatory bodies, Public sector institutions and International organisations such as International Monetary Fund and World Bank in positions such as investment analyst, financial analyst, trader and portfolio manager. Once completed, this programme will provide you with a specialisation in investment, financing and financial markets. You will gain an all-inclusive knowledge and appreciation of major contemporary issues in financial research and a methodical knowledge of quantitative methods so you will have the skills necessary to undertake quantitative analysis of relevant problems.
Quantitative Techniques or Econometrics for Finance
Commercial and Investment Banking
Two Option Modules
Option Modules Include:
ECOM035 International Finance
ECOM042 Empirical Finance
ECOM055 Risk Management for Banking
ECOM057 Asset Management
ECOM058 Principles of Accounting
ECOM059 Applied Risk Management for Banking
ECOM064 Applied Futures and Options
ECOM069 Banking Regulations
ECOM070 Cases in Business Finance
ECOM071 Topics in Applied Finance
ECOM073 Topics in Financial Econometrics
A written examination is taken in May for each course unit. Some units may also include assessed coursework. You will also produce a 10,000-word dissertation over the summer, which includes both theoretical financial content and applied results.
You should have at least a good second class honours degree, or equivalent, in economics or a related subject. A good basic knowledge of relevant statistical theory and mathematics is also necessary, and students are expected to attend intensive pre-sessional statistics and mathematics modules in September.