Operations Research and Information Engineering
The Operations Research and Information Engineering Master of Engineering program at Cornell University offers a rigorous, analytically intensive pathway for students who want to explore mathematical modeling, optimization, data analysis, and decision science at an advanced level. The curriculum integrates operations research theory with computational tools, probability, statistics, simulation, and systems analysis, enabling learners to understand how complex processes can be optimized across engineering, business, and technological environments. With a strong emphasis on optimization methods, students develop the mathematical and analytical foundation needed to design decision models, evaluate uncertainty, and improve performance within real world systems. This structure allows them to examine how data, algorithms, and strategic reasoning interact to guide efficient and intelligent decision making.
Throughout this one year program, students work with faculty who specialize in applied probability, data driven modeling, financial engineering, transportation systems, algorithms, and enterprise analytics. Through project based learning, computational labs, and methodical analytical training, learners develop deep capability in system modeling, simulation design, and quantitative evaluation. The program encourages interdisciplinary collaboration by linking engineering principles with data science and economic reasoning, helping students understand how complex systems behave and how they can be optimized. This blend of theoretical depth and applied problem solving prepares graduates to address challenges that require precise, data informed decision processes.
Key information
Key Facts
- Program Title: Operations Research and Information Engineering
- Degree Type: Master of Engineering
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 December 2025
- Location: Cornell University, United States
- Field of Study: Operations Research
- Language of Instruction: English
Program Structure
Semester 1
• Foundations of Operations Research
• Optimization Models and Methods
• Probability, Statistics, and Stochastic Systems
• Elective in Data Science, Algorithms, or Financial Engineering
Semester 2
• Simulation and Decision Analysis
• Applied Project in Operations Research
• Information Engineering and Data Driven Systems
• Elective in Machine Learning, Risk Analysis, or Systems Engineering
Career Opportunities
Graduates of this program advance into impactful analytical and technical roles, frequently joining operations research teams, data and analytics groups, financial engineering units, and technology driven organizations. Their preparation in modeling, optimization, probability, and decision science enables them to contribute to process improvement, system design, algorithm development, forecasting strategies, and quantitative analysis across industries such as finance, logistics, consulting, manufacturing, and technology. With strong interdisciplinary and analytical capabilities, they support organizations in solving complex operational problems and enhancing performance through data guided decision making.
Why Choose This Program
This program is an excellent choice for students who want to build deep expertise in mathematical modeling and data informed decision processes, offering opportunities to develop advanced analytical insight and strong quantitative capability supported by Cornell’s distinguished engineering faculty. Through methodical coursework, applied projects, and computational training, learners gain the tools to design optimization models, analyze systems, and develop data driven strategies that address real world challenges. Its focused one year format ensures rigorous preparation and positions graduates for influential careers in operations research, analytics, financial engineering, and complex systems optimization.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 607 255 2000
Email: admissions@cornell.edu
Address: Cornell University, Ithaca, NY 14850, United States
