This course introduces students to core principles and quantitative methods to provide support for making 'hard' decisions, and communicating results. Topics include structured decision-making techniques (e.g., decision trees), public sector decision making (e.g., benefit-cost analysis, welfare economics), multi-criteria decision-making, and decision making under uncertainty (e.g., sensitivity analysis, Monte Carlo simulation, utility theory, and risk attitudes).