The QEF faculty and curriculum will provide you with the foundational qualitative and quantitative analysis, techniques, and skills to operate in technical economic and capital management roles. Your studies will be focused on the application of quantitative and applied mathematical, economic, and computer science techniques within global economic institutions and capital markets. You also will learn to develop technical solutions to challenges within economics and finance such as time value of money, information asymmetry and latency, data management, uncertainty, diversification, model selection and construction, hedging, security replication, all while emphasizing empirical and data-intensive structures. From these tools and techniques and the breadth of course offerings you also will build a reflective, ethical, and global understanding of the strengths and limitations of these applied approaches.
The educational goals for this major are as follows:
Our foundational program will help you master a variety of issues within the international economic and finance arena, while also building foundational mathematical and data science skills. Our classes and seminars are designed to encourage hands-on activities as well as in-class participation. You will learn economic and finance concepts, the mathematics skills, and the computer and data science programming techniques that will allow you to develop models and solutions to cross-disciplinary international economics and finance problems.
Our graduates take full advantage of our interdisciplinary environment, working for companies such as Bank of America, AXA or Blackrock, generally following studies in diverse programs such as the University of Oxford Computer Science or the Sorbonne QEM, as well as other applied quantitative Finance masters.