Operations Research and Information Engineering
The Operations Research and Information Engineering Master of Engineering program at Cornell University provides an intensive analytical and technology oriented learning environment for students who want to develop strong quantitative, computational, and optimization skills. The curriculum integrates advanced mathematics, algorithmic methods, and data driven modeling, enabling learners to explore how complex systems can be analyzed and improved through structured decision making. With a focus on optimization theory, students gain the ability to evaluate system performance, interpret large data sets, and design models that support efficient resource allocation across industries such as finance, logistics, energy, and technology.
Throughout this one year program, students learn from faculty who specialize in data analytics, operations modeling, stochastic processes, and information systems. The academic experience encourages learners to engage with computational tools, simulation techniques, and applied engineering methods, helping them build deep competence in system modeling, algorithmic reasoning, and quantitative evaluation. Through interdisciplinary coursework, project based assignments, and real world analytical applications, students gain the practical and theoretical foundation necessary to solve large scale operational problems and contribute effectively to data intensive environments.
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: Information Technology (IT)
- Language of Instruction: English
Program Structure
Semester 1
• Mathematical Programming and Optimization
• Data Science for Operations Research
• Stochastic Models and Decision Analysis
• Elective in Computing, Analytics, or Engineering Systems
Semester 2
• Simulation Modeling and Analysis
• Machine Learning for Operations
• Applied Operations Research Project
• Elective in Financial Engineering, Logistics, or Information Systems
Career Opportunities
Graduates of this program are well prepared for careers in analytically driven industries, often joining data science teams, operations strategy groups, technology consulting firms, and quantitative analysis units. With strong skills in optimization, modeling, simulation, and data analytics, they contribute to solving complex operational challenges, improving system efficiency, supporting business intelligence functions, and designing algorithms that guide strategic and operational decisions. Their multidisciplinary training allows them to work in diverse fields such as financial modeling, supply chain design, risk analysis, and technology development, positioning them for long term advancement in data and operations focused roles.
Why Choose This Program
This program is an ideal option for students seeking a rigorous and practice oriented approach to quantitative analysis, offering opportunities to develop advanced analytical skills and strong computational capability supported by Cornell’s expertise in operations research and information engineering. Through applied projects, interdisciplinary learning, and exposure to modern data tools, students gain the ability to model complex systems, interpret large scale information, and design solutions that improve performance in technologically dynamic environments. Its focused one year structure ensures efficient skill development while preparing graduates for impactful careers at the intersection of engineering, analytics, and decision science.
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
