Master of Science in Financial Engineering

Today's complex financial markets require experts who not only understand how the markets work, but who also have the mathematical knowledge to uncover patterns and the technological skills to exploit them. In the current marketplace, companies look for individuals who possess the following four attributes in their skill-set: A thorough understanding of the financial markets along with complex financial structures, trading strategies and derivatives; Sophisticated financial mathematical modeling skills along with the prerequisite knowledge of advanced probability, statistics, stochastic processes and time series analysis; Knowledge of financial Big Data modeling in the rapidly growing field of financial services analytics, which involves creating data-driven decision-making analytic tools for the financial services industry; Expertise in programming languages such as C++, C#, Python, Java and other computational skills related to databases, parallel computing, big data and data visualization. The master's in financial engineering combines the desired attributes of mathematical modeling, statistical analysis, finance, economics, computer programming skills and systems thinking to solve the financial challenges at the enterprise and the systemic level. The program provides students a fundamental understanding of domains applied in the quantification of financial systems and knowledge that is intrinsic in the structuring of financial products and markets. Program Highlights: Home to state-of-the-art Hanlon Financial Systems lab that includes a trading room and Bloomberg terminals. Flexible learning options - on-campus or highly interactive e-Learning method designed to challenge and engage students, while remaining convenient for working professionals or onsite at corporate sponsor locations, Positioned minutes from New York City, the world's financial hub and home to thousands of tech companies, Internships at major institutions: Goldman Sachs, Credit Suisse, Deutsche Bank, Bank of America, Faculty with significant industry and academic experience.