Masters in Financial Engineering

Financial Mathematics

Financial mathematics is a field of applied mathematics and is concerned with mathematical modeling of financial markets. Financial sectors like investment banks, commercial banks, hedge funds, insurance companies, corporate treasuries and regulatory agencies apply the methods of financial mathematics to such problems as derivative securities valuation, portfolio structuring, risk management, and scenario simulation. Professionals with a specialization in this field favour mathematical consistency over compatibility with economic theory while taking financial decisions. This specialization is for you if you have a background in advanced mathematical techniques and modeling. Job prospects for financial mathematics are projected to be very good.

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Analytical Finance

Specialization in analytical finance helps you to gain a deeper and more precise knowledge of financial theories, their application to a variety of business problems, and the empirical work by which we learn how the finance industry works. You will learn how to do cutting-edge analysis as practiced in hedge funds, investment banks, risk management, and more.

Financial analysts help businesses and individuals take investment decisions. They analyze the performance of stocks, bonds, and other types of investments for this purpose. They work as portfolio managers, fund managers, rating analysts, risk analysts, etc.in financial sectors like banks, pension funds, mutual funds, securities firms, insurance companies, and other businesses. A growing range of financial products and the need for in-depth knowledge of geographic regions are expected to lead to strong employment growth. Demand for financial analysts tends to grow with overall economic activity. Demand is also projected to increase as the growth of “big data” and technological improvements allow financial analysts to access a wider range of data and conduct higher quality analysis.

Quantitative and Computational Finance

Quantitative and computational finance is a branch of applied computer science that deals with the practical problems of finance industry. It emphasizes practical numerical methods rather than mathematical theory and focuses on techniques that apply directly to economic analyses. With specialization in this you can work as a quantitative analyst. Quantitative and computational professionals create algorithms which are used within trading software. They make their employers millions of dollars on a monthly basis simply by programming algorithms that are fast and efficient enough to locate the best trades before the competition.