Undergraduate Programs

The Department of Industrial Engineering and Operations Research (IEOR) is dedicated to advancing multidisciplinary applied sciences by applying mathematical and computer models to enhance decision-making within complex environments. Renowned for our pivotal contributions to fields such as optimization, statistics, machine learning, and probability, the IEOR department stands at the forefront of pioneering research in healthcare operations, financial engineering, supply chain management, and market design.

MAJORS

The department offers five majors. Students in all five majors complete a set of common requirements, building up strong foundations in mathematics, computer programming, and operations research methods. They then complete the major requirements and electives for their specialization.

Industrial Engineering (All Class Years)

Strong emphasis on quantitative, economic, and computer-aided approaches to design, production, and service management problems. Offers a robust foundation in contemporary industrial engineering concepts and methods.

Operations Research (All Class Years)

Strong focus on mathematics applications. Prepares students for advanced studies and professional employment as operations research analysts in areas such as professional services, financial services, and large technology organizations.

Operations Research: Analytics (Class of 2027 & Class of 2028)

Trains students to leverage advanced quantitative models, algorithms, and data science for making actionable decisions to improve social operations.

Operations Research: Engineering Management Systems (Class of 2027 & Class of 2028)

Provides understanding for contemporary technology and management. Designed for students interested in a technical management background rather than one in a traditional engineering field.

Operations Research: Financial Engineering (Class of 2027 & Class of 2028)

Trains students to apply engineering methodologies and quantitative methods to finance.

Decision Science & Data Analytics (Class of 2029 & Class of 2030)

Equips students with advanced quantitative modeling techniques, algorithmic problem-solving skills, and state-of-the-art data analytics tools to support strategic, data-driven decision-making in complex organizational environments. By integrating technical expertise with managerial insight, this major prepares students to analyze large datasets, optimize processes, and design actionable solutions that directly improve business performance.

Quantitative Finance & Financial Technology (Class of 2029 & Class of 2030)

Exposes students to rigorous mathematical modeling skills, computational techniques, and advanced financial analytics tools to address complex challenges in modern finance. Students learn to develop and implement quantitative models for pricing, risk management, portfolio optimization, and algorithmic trading, while also gaining expertise in emerging financial technologies such as blockchain, digital payments, and decentralized finance.

MINORS

The IEOR Department is home to three undergraduate minors:

  • Industrial Engineering

  • Operations Research

  • Entrepreneurship and Innovation

These minors are described in the Undergraduate Minors section.

IEOR program students are encouraged to consider minors in Economics, Applied Math, or Computer Science. In addition, students pursuing majors in Operations Research (including Operations Research, Analytics, Financial Engineering, and Engineering Management Systems) may elect to minor in Industrial Engineering. Conversely, students majoring in Industrial Engineering may elect to minor in Operations Research. However, students cannot minor in both Industrial Engineering and Operations Research. They may choose either Industrial Engineering or Operations Research, in addition to Entrepreneurship and Innovation.**

The department does not offer minors in Analytics, Engineering Management Systems, or Financial Engineering.