Quant Guide 2022: New York University (Tandon School of Engineering)

New York City, US

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Despite the typically large intake for Tandon’s MS in Financial Engineering this year, students should expect plenty of one-to-one time with instructors. For the 132 students in the new cohort, the average class contains just 22 students. And of the programme’s 67 teaching staff, 58 have industry affiliations.

Tandon, like the neighbouring Courant Institute, has added several new teaching staff to its master’s programme this past year, says Carmen Montes de Oca, director of operations for finance and risk engineering. The course’s new instructors are: assistant professor of machine learning Derek Snow, formerly of the University of Oxford’s quantitative finance institute; adjunct professor of financial data visualisation Francisco Rubio, who is also a quantitative developer at StoneX; and Jacopo Tagliabue, a specialist in artificial intelligence, who teaches classes in natural language processing and machine learning systems. Machine learning and portfolio management courses have proven popular among students, notes Montes de Oca – classes in econometrics, less so.

While Tandon has reported a graduate employment rate of 95% – on a par with other leading programmes – Montes de Oca says the pandemic did cause some placement-related problems for students.

“The main impact from an employment perspective is that many students studied remotely, from their home countries, in the 2020–21 school year,” she says. “As a result, more interned remotely in the summer of 2021, limiting their options temporarily.”

While students hoping to intern in the US will have been disappointed this year, Montes de Oca says the programme expects a return to in-person internships for the latest intake in summer 2022.

View this institution’s entry in the 2021 guide

View other universities and a guide to the metrics tables

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