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Doctoral

Information Systems (PhD)

New York University Leonard N. Stern School of Business 33 courses 36-54 total credits

About This Program

Information Systems (IS) is a multidisciplinary field that is growing in importance as the information technology revolution transforms the scale of data, the nature of products, the organization of work, and the way people interact. The Stern IS department has played an active leadership role in defining the fields of data science and business analytics, engaging in cross-disciplinary scholarship in computer science, economics, machine learning, marketing, management science and urban science. PhD students at Stern have the advantage of working with IS faculty who also maintain close research ties with the digital, banking, advertising and media industries, which gives our students access to unique β€œbig data” for research as well as opportunities for experiential learning. All applicants to the NYU Stern School of Business PhD Program are required to submit a complete application for admission. A complete application includes the online application, statement of purpose, optional essay, educational history and resume or CV, letters of recommendation, test scores, academic transcripts, and an application fee. See How to Apply for admission requirements and instructions specific to this program.

Degree Requirements

Economics credits
Technical credits
Behavioral credits

Recommended Courses

STAT-GB 1304

Code Course Title Credits
STAT-GB 3302 Statistical Inference and Regression Analysis 3
Total Recommended Courses 3 credits

Recommended Courses

Code Course Title Credits
MGMT-GB 4301 Strategy 3

Recommended Courses

PHDC-GR 8405

Code Course Title Credits
SOC-GA 2414 Sociology of Culture 4
Total Recommended Courses 3 credits

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