Our networked world is generating a deluge of data that no human, or group of humans, can process fast enough. This data deluge has the potential to transform the way business, government, science and healthcare are carried out. But too few possess the skills needed to use automated analytical tools and cut through the noise to create knowledge from big data. NYU is changing that by offering academic programs that educate students in the theories, tools, and techniques used to create knowledge from data.
The following programs feature data science as a foundational element of their curriculum:
NYU Center for Data Science
MS in Data Science
Students in the MS in Data Science must have a strong background in mathematics, computer science, and applied statistics. The degree focuses on development of new methods for data science. The curriculum is 36 credits, half of which are required courses and half of which are electives. Both 3-semester and 4-semester options are offered.
Center for Urban Science and Progress (CUSP)
MS in Applied Urban Science and Informatics
Students must have a background in mathematics, science, or engineering. The degree focuses on application of big data analytics to urban programs. The curriculum is 30 credits in a 12-month program.
NYU Department of Sociology
MA in Applied Quantitative Research (AQR)
Students must have successfully completed at least one undergraduate statistics or research methods course. The degree focuses on development of a strong foundation in the statistical tools and theoretical perspectives used in the social sciences. The curriculum is 32 credits in a 12-month program.
NYU Stern School of Business
MBA with a Specialization in Business Analytics
Students are selected based on their combined academic profile, professional achievements, aspirations and personal characteristics. The degree develops people and ideas to transform the challenges of the 21st century into opportunities to create value for business and society. The curriculum is 60 credits over 2 years.
MS in Business Analytics
Students are required to have a strong record of professional achievement over at least five years of experience and, in addition, successful completion of quantitative undergraduate coursework. The degree equips graduates with the ability to transform data into a powerful and predictive strategic asset, so as to influence decision-making, strategy, and drive better business results. The curriculum is broken into five intensive modules typically spread out over 12 months that rotate between NYU Stern School of Business in NY and NYU Shanghai campus in Shanghai.