Quant Guide 2022: New York University (Courant Institute of Mathematical Sciences)

New York City, US

Photo: Petter Kolm

 

 

Two New York University finance programmes – at the Tandon School of Engineering and Courant Institute of Mathematical Sciences – are routinely among the top performers in the Risk.net Quant Guide. In this edition, the Courant Institute’s MS in Mathematics in Finance, led by clinical professor of mathematics Petter Kolm, comes in at fifteenth place.

The MS has 49 students in the latest intake, all of whom are international. Competition for the programme is fierce, with 749 applicants most recently. While this is some distance from Tandon’s count of 1,521, its neighbour’s intake is also more than twice as large. 

Kolm has been busy adding to faculty staff. Four new instructors are: Richard Lindsey and Mehdi Sonthonnax, who teach a class together in scientific computing in finance; Miquel Noguer i Alonso, an adjunct professor specialising in artificial intelligence, who has also taught at Columbia; and Gene Ekster, a specialist in alternative data.

New courses include: trends in financial data science; dynamic asset pricing; and machine learning and computational statistics. Existing courses have been updated with fresh content, including material on natural language processing and algorithmic trading.

Programming components are emphasised, with a wide range of coding languages used in teaching. Students can expect to cover Python, development-orientated languages such as Java, as well as libraries and software such as pandas, Statsmodels, scikit-learn and PyTorch.

View this institution’s entry in the 2021 guide

View other universities and a guide to the metrics tables