Breaking Rules to Solve Problems

Our Academic Offerings

The School of Operations Research and Information Engineering maintains a leading international reputation resting on core expertise in optimization, probability and statistics. The high quality of ORIE students and faculty ensure that Cornell will retain its preeminence in the world of operations research.

Earn your B.S. in Operations Research and Engineering

Undergraduate Program

A four-year course of study culminating in a Bachelor of Science degree from the College of Engineering.

B.S. in Operations Research and Engineering

Graduate Programs

Professional Track:
Our Master of Engineering program is a full-time, professionally-oriented program that builds on traditional math, scientific, and engineering skills and concentrates on the application of these skills to practical problems. The M.Eng. degree requires the completion of an engineering design project in lieu of a research thesis.

Teaching / Research Track:
Our Ph.D. program is a rigorous and academically-demanding program that involves independent investigation of open problems with the purpose of creating original scholarly work of the highest caliber. Doctoral graduates are prepared for academic teaching and research positions and placement in the private sector.

Master of Engineering (M.Eng.) in Ithaca

Cornell Financial Engineering Manhattan

Master of Engineering (M.Eng.) at Cornell Tech

Doctor of Philosophy (Ph.D.) in Ithaca

Research Areas in ORIE

Algorithms

Data Mining

Financial Engineering

Information Technology Modeling

Optimization

Supply Chain

Research Areas

The latest from ORIE

ORIE Adds Marcos Lopez de Prado to Cornell Financial Engineering Manhattan

September 3, 2019

Marcos Lopez de Prado joins Cornell Financial Engineering Manhattan as a Professor of Practice after leaving his post at AQR as Principal and Head of Machine Learning. "We are delighted to welcome... Read more about ORIE Adds Marcos Lopez de Prado to Cornell Financial Engineering Manhattan

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Event

Tuesday, September 24, 2019 4:15pm

ORIE Colloquium: Adam Wierman (Caltech) - Online Optimization and Energy

Online optimization is a powerful framework in machine learning that has seen numerous applications to problems in energy and sustainability. In my group at Caltech, we began by applying online... Read more about ORIE Colloquium: Adam Wierman (Caltech) - Online Optimization and Energy

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Spotlight

How We Use Machine Learning

by Jackie Swift If you’ve ever used Uber, then you probably know about surge pricing, times when the fare price suddenly increases for rides originating in a certain location. For riders, a surge can... Read more about How We Use Machine Learning

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