The Master of Science in Operations Research at Cornell University combines mathematics, statistics, and computing to address complex decision-making challenges in various industries. This program equips students with the skills to analyze data, optimize systems, and solve real-world operational problems in business, healthcare, and beyond.
Supply Chain Optimization Using Machine Learning Algorithms
Stochastic Modeling for Risk Management in Financial Markets
Optimization Models for Energy Distribution Systems
Designing Efficient Logistics Systems for E-Commerce
Predictive Analytics for Demand Forecasting in Retail
Operations Research Applications in Healthcare System Design
Data-Driven Decision Making in Public Policy Analysis
Algorithmic Trading Strategies Using Optimization Techniques
Game Theory Applications in Competitive Market Analysis
Supply Chain Risk Analysis Using Monte Carlo Simulation
Optimization of Transportation Networks in Urban Areas
Financial Portfolio Optimization Using Risk-Based Models
Resource Allocation Models for Non-Profit Organizations
Stochastic Processes in Inventory Management
Dynamic Pricing Models for Online Markets
Tackle real-world challenges in operations, logistics, and business optimization through Cornell’s M.S. in Operations Research.
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