About this certificate program
The certificate program has been designed by New York University Professor Thomas J. Sargent in close collaboration with Chase Coleman and Spencer Lyon, lead developers at QuantEcon, a website devoted to teaching how to put Python and Julia at the service of the social sciences. Dr. Sargent, Dr. Coleman, and Dr. Lyon will jointly teach all four courses in the sequence, as well as the online summer “pre-class”.
Advancements in computational power over the last 30 years have led to significant steps forward in how we approach social science, giving rise to a new class of social scientists: computational social scientists. Computational social scientists work throughout the public and private sector: in universities, private research institutions, and business enterprises such as tech companies like Amazon, Facebook, Google, and Uber.
The NYU Computational Social Science certificate program prepares students for either a graduate program in the social sciences or for a career as a data analyst or computational social scientist.
The certificate program consists of four one-semester long classes together with an online preparatory class to be completed during the summer preceding the certificate program sequence. Students with qualifying experience or coursework can opt out of the “pre-class”.