Quant Guide 2021: Columbia University (Columbia Engineering)

New York City, US

Columbia Engineering


Columbia’s Master of Science in Financial Engineering re-enters the Risk.net Quant Guide this year, ranking at sixth place.

The programme is directed by Sauma Capital’s Ali Hirsa and by quantitative finance pioneer Emanuel Derman, co-author of one of the first interest rate models (Black-Derman-Toy) and numerous seminal papers on model risk.

The Columbia MS programme is housed in the department of industrial engineering and operations research, and is highly popular among would-be students – there were 1,114 applications to join the current cohort. In all, 121 offers were extended to the pool of applicants, and 119 accepted them, which gives the programme the highest offer-holder acceptance rate in the Quant Guide, at 98.3%.

After successful completion, the course has a graduate employment rate of 95%. Average graduate compensation is $106,833.

The school has made a range of adjustments to the programme in response to Covid-19. The MS reports offering staggered matriculation dates, extending virtual office hours and providing courses “around the clock”.

View this institution’s entry in the 2017 guide

View other universities and a guide to the metrics tables

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