Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
PhD
Major
Computer Science | Data Science | Information Systems
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview


PhD in Information Systems

The PhD in Information Systems at New York University's Leonard N. Stern School of Business 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.


Academics

The program educates and trains scholars who will produce first-rate IS research and who will succeed as faculty members in first-rate universities. 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.


Fields of Study

The PhD program offers the following fields of study:


  • Accounting
  • Economics
  • Finance
  • Information Systems
  • Management
  • Marketing
  • Operations Management
  • Statistics

Program Details

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 "big data" for research as well as opportunities for experiential learning.


Note

Please note that Information Systems will not be admitting PhD or Pre-doctoral students for the Fall 2026 matriculation cycle.


Degree Requirements

The program includes the following components:


  • Degree Requirements
  • Fields of Study
  • PhD Visiting Scholar Program
  • Pre-Doctoral Program
  • Master of Science in Quantitative Economics
  • Research Resources

Research Areas

The program focuses on various research areas, including data science, business analytics, computer science, economics, machine learning, marketing, management science, and urban science.


Student Experience

The program provides students with access to unique "big data" for research and opportunities for experiential learning, giving them a competitive edge in their future careers.


See More
How can I help you today?