NYU Stern
Eitan Zemel, W. Edwards Deming Professor of Quality and Productivity, addresses conference participants.
Natalia Levina, Associate Professor of Information Systems, presents at the Future of Business Event series.
Aaron Tenenbein, Faculty Director of EMBA and Professor of Statistics, speaking at the 2013 EMBA Graduation

IOMS Groups:  Information Systems • Operations Management • Statistics

– About the department

The Department of Information, Operations & Management Sciences (IOMS) is home to faculty whose research style is analytical or technology-based. 

The IOMS faculty have a well known reputation for excellence in research and teaching.  Their research focuses in areas such as big data, outsourcing and offshoring, online advertising, mining social media content and social networks, revenue management and pricing, stochastic processing systems, long memory time series, categorical data analysis, and strategic analysis of global warming.

Recent News

  • OM Professor Wenqiang Xiao's paper, Subsidizing the Distribution Channel, was accepted by Management Science.
  • IS Professor Arun Sundararajan received a 2014 IBM Faculty Award, which will support his work at NYU's Center for Urban Science and Progress.
  • In June, the Vienna Workshop on Economic Theory was held on Rational Expectations Equilibrium in honor of IS Professor Roy Radner.
  • IS Professor Anindya Ghose chosen among the top 40-under-40 business school professors.

Department Leadership

Alex Tuzhilin, Chair
Ed Melnick, Deputy Chair
Vasant Dhar, IS Group Head
René Caldentey, OM Group Head
Peter Lakner, Statistics Group Head

IOMS Specializations


Fall 2014 Course Highlight

Fundamentals of Software Development: INFO-GB.2335.01
Professor Hardeep Johar
The class will focus on giving students a working knowledge of programming languages and software design methodologies. Students will learn how large and small scale computer applications work, and how to build working prototypes to illustrate and market their own ideas.

IOMS Faculty Highlight

The Talent Equation

IS Professor Prasanna Tambe co-authors The Talent Equation: Big Data Lessons for Navigating the Skills Gap and Building a Competitive Workforce. The new book explores the potential for big data to transform human resources and investigate some of the most important issues affecting the labor market and workforce management today.