Director's Message
Quantitative Finance is an applied science, an engineering discipline, dealing with the application of mathematics and computer science to develop or exploit financial opportunities for return enhancement and risk control. The field is also known as financial mathematics, financial engineering and computational finance, depending upon the problems or techniques emphasized.
Applied Mathematics & Statistics (AMS) at Stony Brook University focuses on the development of practitioners and researchers who are able to apply rigorous mathematics in the solution of difficult and relevant problems. The training in Qunatitative Finance is built on the Department's strong foundation in Computational Mathematics, Operations Research and Applied Statisitics and on the larger University's capabilities in Computer Science, Economics and Business.
The department's quantitive finance training is part of the M.S./Ph.D. track in Operations Research and Quantitative Finance. For quantitative finance students, the standard M.S. program consists of two foundation courses, two core operations research courses, one or two statistics courses, and a set of 4 or 5 quantitative finance courses. Students in other tracks in the department may take the quantitative finance courses and earn an Advanced Certificate in Quantitative Finance in addition to the primary training in computational applied mathematics, statistics or computational biology. Doctoral research is also available to a select group of students.
Given the current problems in the finance sector and the uncertainty of employment in quantitative finance over the next several years, some breadth of training in statistics and operations research provides our quantitative finance graduates with additional careers opportunities.
|