In today’s volatile and complex project landscape, single-point estimates for time and cost are a recipe for budget overruns and missed deadlines. Probabilistic Risk Analysis using Monte Carlo Simulation equips project leaders, PMO professionals, and risk managers with the mathematical rigor needed to quantify project uncertainty and make data-driven decisions.

This intensive, 1 hour virtual session moves beyond qualitative risk matrices (like high/medium/low impact) and dives straight into quantitative risk modeling. You will learn how Monte Carlo simulation generates thousands of potential schedule and budget outcomes, enabling you to present realistic confidence intervals—such as P50 and P80 targets—to executives and key stakeholders.