As computing and engineering curricula converge, universities face mounting pressure to create facilities that seamlessly integrate software development, robotics, data science, embedded systems, and advanced manufacturing, often within a single building or floor plate. This session presents a curriculum-driven, metrics-based planning framework for designing academic environments that unite computing-centered spaces with hardware-intensive labs. Stantec planners draw on quantitative and qualitative metrics covering space allocation, adjacencies, infrastructure capacity, utilization, and flexibility to translate academic requirements into actionable facility decisions. Through project case studies, they evaluate and contrast renovation-versus-new-construction tradeoffs, risk management strategies, and design approaches that future-proof computing and engineering education facilities.