Financial Engineering, Technology and Algorithmic Finance Track, M.S.

Graduates of the Technology and Algorithmic Finance Track are actively involved in the development and implementation of the entire spectrum of algorithmic trading strategies, software applications, databases and networks used in modern financial services firms. The techniques learned bridge computer science and finance to prepare graduates to participate in large-scale and mission-critical projects. Applications include high frequency finance, behavioral finance, agent-based modeling, algorithmic trading, and portfolio management.

Our alumns have developed software projects ranging from behavioral models to bespoke derivative valuations to financial trading, information management and tools and financial platforms. Our students are familiar with the use and role of technology in front, middle, and back offices; common trading strategies and how to implement and back-test them; and how to create new models and build new useful tools quickly.