Columbia’s M.S. in Management Science and Engineering integrates systems thinking, optimization, analytics, and innovation management. These capstone and thesis ideas reflect the multi-disciplinary nature of the program, combining operations, economics, technology, and decision science.
Optimization Model for Dynamic Pricing in E-Commerce
Risk Analysis Framework for Large Infrastructure Projects
Predictive Analytics for Strategic Workforce Planning
Supply Chain Disruption Modeling Using Game Theory
Design Thinking for Innovation in Urban Mobility Systems
Decision Support Tool for Capital Budgeting in Manufacturing
Analytics-Driven Strategy for Retail Site Selection
Project Portfolio Optimization Using Linear Programming
Queuing System Analysis for Healthcare Resource Allocation
Agile KPI Dashboard for Engineering Management Teams
Scenario Planning Model for Climate Risk in Logistics
AI-Enabled Vendor Selection Model for Global Operations
Multi-Criteria Decision Analysis for R&D Investment Strategy
Resilient Operations Strategy Using Stochastic Modeling
Data-Driven Governance Framework for Smart City Infrastructure
Inventory Optimization Model with Demand Uncertainty
Innovation Strategy Evaluation Using Technology Readiness Index
Simulation Model for Public Transit Efficiency Enhancement
Cost-Benefit Analysis Tool for Clean Energy Transition Plans
Systems Approach to Managing Enterprise Innovation Ecosystems
Collexa helps students build models using Excel, Gurobi, AnyLogic, and R, while also supporting report writing, stakeholder presentation decks, and policy documentation.
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