The program aims to prepare students for ambitious careers as technically knowledgeable data scientists with special skills useful for computational social science. The program will also provide invaluable technical skills for those of its graduates who might want to pursue a PhD program in economics, political science, or sociology. The program is open to all candidates who have already earned a bachelor’s degree, in whatever field, so long as they have taken undergraduate classes in multivariate calculus, linear algebra, probability, and statistics. Some exposure to computer programming and one of the social sciences is encouraged.
The program is designed to be completed in one calendar year. Students enroll in the summer, during which they complete the 0-credit ECON-GA 4001, Tools for Computational Social Science. This is an online course that students progress in at their own pace. This course must be completed by the beginning of the fall term as it provides the foundations for the coursework to come. During the fall term, students take ECON-GA 4002, Mathematical Foundations for Computational Social Science, and ECON-GA 4003, Data Skills for Computational Social Science, both 3-credit courses. In the following spring term, students complete the program by taking ECON-GA 4004, Dynamic Models for Computational Social Science, and ECON-GA 4005, Machine Learning and Algorithms for Computational Social Science, also both 3 credit courses.