Economics Pushes Math and CS

Economics is shifting from a broad social‑science umbrella to a skills‑centric, data‑driven profession where mathematics, programming and predoctoral apprenticeship matter more than traditional disciplinary training. Graduate advising increasingly recommends math or computer science backgrounds, journals accept diverse 'non‑economic' empirical papers on the basis of rigor, and AI creates new demand for quantitative economics work. — This shift matters for access to the profession, the kinds of questions economists study, and how economic evidence shapes public policy and debate.