Rooted in Georgia Tech’s STEM heritage, the Economics BS replaces chalkboard curves with Python notebooks, R causal-inference models, and GPU-accelerated agent-based simulations. Students join interdisciplinary labs predicting cryptocurrency volatility, evaluating autonomous-vehicle labor impacts, and pricing climate-risk insurance. Atlanta’s Federal Reserve Bank internship pipeline and Tech’s startup-hub proximity give majors real-time macro and micro exposure—while electives in machine-learning economics and behavioral nudges let them sculpt policy or product strategies that resonate in data-driven boardrooms.
Difference-in-differences study of minimum-wage hikes on gig-economy earnings
Predictive model for dynamic toll pricing using reinforcement learning
Crypto-asset bubble detection via log-periodic power-law modeling
Behavioral-economics field experiment on eco-friendly default options
Agent-based simulation of autonomous-vehicle impacts on labor markets
Input–output analysis of semiconductor supply-chain vulnerabilities
Econometric evaluation of solar feed-in tariffs on household adoption
Game-theoretic auction design for spectrum allocation
Natural-language-processing sentiment index predicting consumer spending
Carbon-pricing scenario tool for municipal climate-action planners
Cost-benefit analysis of broadband expansion in rural Georgia
Randomized controlled trial on micro-savings nudges in campus fintech app
Nowcasting GDP using real-time satellite nighttime-light data
Crowdfunding market failure analysis post SEC Regulation CF changes
Machine-learning credit-risk model addressing algorithmic fairness
Analyze data, shape policy, and drive market innovation with quantitative rigor.
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