View all Degrees

M.Eng. in Operations Research and Information Engineering

The Master of Engineering (M.Eng.) in Operations Research and Information Engineering program is a full-time, professionally focused degree that enhances traditional math, science, and engineering skills while emphasizing their real-world application to practical challenges.

Important information

Format

In-Person

Page Contents

Note: This page provides a general overview. For complete and accurate information, please consult the M.Eng. Graduate Field Administrator. For current course offerings and information, refer to the Cornell University Registrar: Courses of Study.

Degree Requirements

To earn the M.Eng. degree in Operations Research and Information Engineering, you must:

  • Complete a minimum of 30 credit hours of approved technical coursework.
    • At most 2 credits may be taken for S/U (Satisfactory/Unsatisfactory) credit in approved seminar courses.
    • The rest must be taken for letter-graded credit.
  • Complete a minimum of 22 credit hours (18 for Strategic Operations) exclusive of SC Johnson College of Business courses.
  • Carry a minimum of 12 credit-bearing hours each semester, including at least 10 credit hours that count towards the M.Eng. degree, in each of the first two full-time semesters that you are enrolled.
  • Complete a minimum of 9 letter-graded ORIE credit hours, excluding the M.Eng. project, seminar, and independent study courses.
  • Complete your concentration’s engineering design project coursework, which counts towards 5 credits of approved coursework.
  • Complete Core coursework in Optimization Modeling, Stochastic Modeling, and Data Science and Statistical Modeling.
  • Complete elective coursework required for your concentration.

Course Eligibility

Most technical courses numbered 5000 or above in the College of Engineering, the College of Computing and Information Science (CIS), and the Department of Mathematics may count toward the ORIE M.Eng. degree, provided they are taken for letter-graded credit. However, certain courses are not eligible, including:

  • Undergraduate courses (4000-level or below)
  • Teaching courses
  • Courses that duplicate material already taken

Courses requiring a petition for approval include:

  • SC Johnson College of Business (SCJ) courses not listed in approved appendices
  • Any course outside Engineering, CIS, and Mathematics

Academic Standing & Graduation Requirements

Students must maintain good academic standing throughout the program:

  • Minimum GPA

    2.50 per semester & cumulative

  • Grade Requirement

    C- or better in all courses

  • Incomplete Grades

    Must be resolved within one semester

  • Final Requirement: M.Eng. Exit Survey

    All students must complete the mandatory M.Eng. Exit Survey administered by the College of Engineering to receive their degree.

Failure to maintain good standing may result in academic probation, leave of absence, or withdrawal from the program.

Core Coursework

Each ORIE M.Eng. student must complete coursework in 3 core areas: Optimization Modeling, Stochastic Modeling, and Data Science and Statistical Modeling. Selected course examples include:

  • Optimization Modeling
    • ORIE 5300/5310: Optimization I & Optimization II
    • ORIE 5370: Optimization Modeling in Finance
    • ORIE 5570: Reinforcement Learning with Operations Research Applications
  • Stochastic Modeling
    • ORIE 5500: Engineering Probability & Statistics II
    • ORIE 5510: Introduction to Engineering Stochastic Processes
    • ORIE 5580: Simulation Modeling and Analysis
  • Data Science/Statistical Modeling
    • ORIE 5550: Applied Time Series Analysis
    • ORIE 5640: Statistics for Financial Engineering
    • ORIE 5741: Learning with Big Messy Data

The full list of core-eligible courses is in the ORIE M.Eng. Handbook, which is maintained on Canvas and will be available to students at matriculation.

Concentrations

Each concentration in the ORIE M.Eng. program has additional prerequisites and coursework. Applicants must verify completion of required prerequisites upon enrollment. Course availability varies by year.

Applied Operations Research

The Applied Operations Research concentration is the most general of the concentrations and allows the most flexibility with respect to elective courses. The concentration is most appropriate for students with undergraduate degrees in Operations Research and Information Engineering who want to increase the depth and breadth of their exposure to operations research and its applications, and for those with undergraduate degrees in other fields who want to gain a solid foundation in the theory and practice of operations research.

  • Prerequisites

    No additional requirements

  • Course Requirements

    • 12+ letter-graded credits in ORIE department-labeled coursework
    • Excludes project, practicum, colloquium, and independent study courses
    • Core courses may be double-counted toward requirements

Data Analytics

The Data Analytics concentration focuses on the theory and tools needed to make fact-based, data-driven decisions associated with the development, pricing, promotion, and distribution of ideas, goods, and services. Data Analytics students complete additional work in the Data Science/Statistical Modeling core category, and complete elective work relevant to the application of the skills built by the core. This structure is designed to ensure that students gain a solid foundation that spans statistical theory, data technology, and data-driven analysis and strategy.

  • Prerequisites

    Two-semester calculus-based probability & statistics sequence (ENGRD 2700 & ORIE 3500 or equivalent)

  • Course Requirements

    9+ credits across three concentration-specific courses

    • One course from Data Science and Statistical Modeling Core
    • One course from Data Analytics Electives
    • Remaining course from either of the above two categories.

    Max 3 credits from SC Johnson College of Business courses towards elective requirements

  • Restrictions

    ORIE 5500 and STSCI 5090 do not count toward M.Eng. credit

Financial Engineering

The Financial Engineering concentration prepares students for careers that involve the quantitative analysis and management of financial instruments and risk. Such jobs frequently involve:
(1) mathematical modeling and analysis of stocks, bonds, options, currency exchange rates, and other structured products
(2) developing quantitative models to help corporations understand and manage their exposure to risk, and/or
(3) implementing algorithms to monitor, price, and/or trade financial instruments. Unlike other concentrations, Financial Engineering is specifically designed to be a three-semester program (Fall-Spring-Fall), with the third (i.e., second fall) semester taking place at Cornell Financial Engineering Manhattan (CFEM) in New York City.

Financial Engineering concentrators interested in data science may complement their studies with additional coursework to receive the Financial Data Science (FDS) certificate. The certificate enables students to add value to an organization immediately by cultivating critical skills in big data collection, manipulation, storage and access, machine learning theory, and algorithm implementation and evaluation.

  • Prerequisites

    • Calculus-based probability, statistics, and stochastic processes (ENGRD 2700, ORIE 3500, and ORIE 3510 or equivalents)
    • Introductory math-focused finance course (not economics or accounting)
    • Recommended: differential equations (MATH 2930 or equivalent)
    • Preferred coding languages: Python or C++
  • Course Requirements

    • 12+ letter-graded credits from the Financial Applications Electives list
    • 6+ of those credits must be completed at CFEM (excludes project course ORIE 5220)
  • Restrictions

    • Certain core courses (ORIE 5500, STSCI 5090, ORIE 5510) do not count toward M.Eng. credit
    • Other courses (ORIE 5630) may only count for specific categories
  • Additional Requirements

    Completion of CFEM Exit Survey before graduation

  • Financial Data Science Certificate (optional)

    • ORIE 5270 – Big Data Technologies (Spring, 2 credit)
    • At least one of the following courses:
      ORIE 5740 – Statistical Data Mining I (Spring, 4 credit)
      ORIE 5741 – Learning with Big Messy Data (Spring, 4 credit)
      CS 5780 – Intro to Machine Learning (Spring, Fall 4 credit)
      CS 5786 – Machine Learning for Data Science
      ECE 5420 – Fundamentals of Machine Learning (Spring, 4 credit)
      STSCI 5740 – Data Mining and Machine Learning (Fall, 4 credit)
    • Must complete an FDS-eligible Special Topics course (Fall 2 credit at CFEM)
    • Must complete an FDS-eligible project for ORIE 5220 (Fall 5 credit at CFEM)
    • Special Workshops (non-credit-bearing at CFEM)

Information Technology Concentration

The Information Technology concentration prepares students to participate in the development, acquisition, and integration of information systems (particularly those embodying operation research approaches) to ensure that strategic business needs are satisfied. Students will complete elective coursework in technology and infrastructure, information economics and strategy, and managing the implementation of information systems.

  • Prerequisites

    No additional requirements.

  • Course Requirements

    12+ letter-graded credits across four concentration-specific courses

    One course from each of the following categories:

    • Technology & Infrastructure
    • Information Economics & Strategy
    • Managing IT Implementation

    The fourth course may come from any category above or Additional IT Electives

  • Restrictions

    Only one course may count toward both the ORIE Core and IT Electives

Manufacturing & Industrial Engineering Concentration

The Manufacturing and Industrial Engineering concentration, which is delivered in coordination with the Sibley School of Mechanical and Aerospace Engineering, prepares students to use their operations research skills to improve manufacturing environments and associated processes across the supply chain network. This concentration covers aspects of design, production, distribution of goods and services, as well as fundamentals of modern manufacturing technology. Relevant coursework includes application of computer-aided engineering tools for system analysis, and management and improvement of manufacturing processes. Industrial experience is advantageous but not required.

  • Prerequisites

    No additional requirements (industrial experience is beneficial but not required)

  • Course Requirements

    Manufacturing Focus Courses:

    • ORIE 5100: Manufacturing Systems Design
    • NBA 5530 or NBA 5020 (Accounting and Finance)
    • (When offered) ORIE 5920: Operations Research Colloquium

    Electives: 9+ letter-graded credits from Manufacturing & Industrial Engineering Electives, which may overlap with ORIE Core requirements.

Strategic Operations Concentration

The Strategic Operations concentration provides a comprehensive look at how business and operations strategies are aligned and executed for success, including corporate structure, marketing, product development, manufacturing, quality management, human capital strategies, and globalization issues. Students in this concentration follow a program of ORIE applications courses and Johnson business courses. The keystone of the concentration is the Strategic Operations Practicum offered by the Johnson School. The practicum integrates classroom material and guest lectures with company site visits and team-based project work with industry partners.  The Strategic Operations project complements, but does not replace, the ORIE M.Eng. project. Graduate students from the College of Engineering, the Johnson School, and the School of Industrial and Labor Relations participate in the practicum.

  • Prerequisites

    Strong background in operations research and/or relevant professional experience.

  • Course Requirements

    Strategic Operations Courses:

    • ORIE 5100: Manufacturing Systems Design
    • ORIE 5130: Service Systems Modeling and Design*
    • ORIE 5126: Principles of Supply Chain Management*
    • NBA 6515: Strategic Operations Practicum (Name subject to change)

    *May also be counted towards your Core.

    Electives: 3+ letter-graded credits from Strategic Operations Electives.

    You may count up to 12 SCJ business credits, instead of the 8 allowed for other concentrations. All SO-required courses count towards this total.

M.Eng. Design Project

Each Operations Research and Information Engineering M.Eng. student must complete a team-based engineering design project. M.Eng. projects typically have industrial, financial, non-profit, or government organizations as clients and/or sponsors. The format and timeline for M.Eng. projects varies by concentration. Financial Engineering concentrators perform their project during their CFEM semester; all other concentrators perform their projects in Ithaca.

All students must produce two deliverables as part of the project requirement: a final presentation to the client organization and a formal academic report to their project advisor.

Project courses total 5 credits. The specific coursework depends on the student’s concentration:

  • Operations Engineering: ORIE 5980 (Fall, 1 credit) + ORIE 5981 (Spring, 4 credits)
  • Financial Engineering (CFEM): ORIE 5220 (CFEM Fall, 5 credits)

For non-traditional matriculants (Spring/Early Admits), alternative enrollment options apply.