Stanford’s Management Science and Engineering (MS&E) program develops leaders who can solve complex problems at the intersection of technology, business, and policy. These project ideas help students explore decision sciences, analytics, and systems modeling to create scalable, efficient, and socially impactful solutions.
Optimization of Last-Mile Delivery Routes Using Linear Programming
Predictive Modeling for Customer Churn in SaaS Platforms
Decision-Making Framework for Sustainable Product Launch
Simulation of Emergency Response Systems in Urban Areas
Startup Valuation Model Using Monte Carlo Simulations
AI-Based Risk Assessment in Supply Chain Disruptions
Building a KPI Dashboard for Enterprise Operational Efficiency
Multi-Criteria Decision Analysis for Renewable Energy Investments
Queuing Model for Airport Baggage Handling Systems
Operations Strategy Plan for Scaling E-Commerce Fulfillment
Inventory Optimization in Retail Using Demand Forecasting
System Dynamics Modeling of Tech Adoption in Emerging Markets
Machine Learning Model to Predict IPO Success Rates
Cost-Benefit Analysis of Autonomous Delivery Drones
Blockchain-Based Smart Contract System for Vendor Management
Portfolio Optimization Using Mean-Variance Theory
Gamified Learning Platforms for Business Analytics Education
Simulation of Traffic Congestion Under Infrastructure Policies
Modeling Consumer Behavior in Digital Advertising
Revenue Forecasting Model for a Subscription-Based Service
From financial modeling to enterprise systems, Collexa supports Stanford MS&E students in turning business logic into powerful engineering-driven insights.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
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