Financial Risk Management MSc

This Masters in Financial Risk Management focuses on the risk management and the quantification of several types of risk such as financial, including market risk and some elements of liquidity and counterpart risk.<br/><br/>**WHY THIS PROGRAMME**<br/>Financial Risk Management will provide you with a thorough understanding of: advanced econometric analysis, theories of risk, including bond market interest rate determination, market risk, liquidity risk and counterpart risk and the role and impact of financial regulations.<br/>- It will equip you with up to date risk management skills for the quantification of risk and the optimal asset allocation. These skills are essential for managing and hedging market, credit and interest rate risks.<br/><br/><br/>- You will have access to statistical packages, such as MATLAB and EViews, and a dedicated computer lab that will enable you to put theory into practice.<br/><br/><br/>- Bloomberg Experiential Learning Partner logoWe are now partners with Bloomberg Experiential Learning. The ELP program recognises and celebrates academic institutions that are leaders in experiential learning through the integration of Bloomberg terminal exercises into curriculum.<br/><br/><br/>- Take advantage of our individualised skills development programme, which will ensure you balance academic theory with crucial employability skills to help you maximise your potential and achieve your career goals. <br/><br/><br/>- Adam Smith Business School is triple accredited.<br/><br/><br/>**PROGRAMME STRUCTURE**<br/>You will take four core and two optional courses and complete a substantial independent piece of work, normally in the form of a dissertation.<br/><br/>**Core courses**<br/>Dissertation GCEFS<br/>Financial Markets, Securities and Derivatives<br/>Hedge Fund Risk Management<br/>Mathematical Finance<br/>Modelling and Forecasting Financial Time Series<br/><br/>**Optional courses**<br/>Applied Computational Finance<br/>Basic Econometrics<br/>Behavioral Economics: Theory and Applications<br/>Corporate Finance and Investment<br/>Financial Services<br/>Portfolio Analysis and Investment<br/>Machine Learning in Finance with Python