Georgia Tech’s MS in Analytics compresses statistics, machine learning, and business acumen into a lightning-fast 12- or 24-month journey. Students deploy Spark clusters on Google Cloud, craft causal-inference models in R, and fine-tune transformer pipelines for unstructured text. The interdisciplinary practicum pairs teams with Delta, CDC, and the Atlanta Hawks to solve real data problems—think optimizing vaccine supply chains or predicting player injuries from wearable feeds. Graduates exit fluent in Python, SQL, and stakeholder storytelling.
Graph-neural-network churn prediction for streaming services
Bayesian A/B testing framework for e-commerce feature rollout
Time-series anomaly detector for smart-grid demand spikes
Computer-vision pipeline classifying defects in additive-manufactured parts
Deep-learning NLP model extracting adverse-event signals from EHR notes
Reinforcement-learning route planner for drone delivery fleets
Demand-forecast dashboard for farm-to-table grocery logistics
Propensity-to-donate model for global NGO fundraising
Explainable-AI credit-risk scoring with fairness constraints
Real-time sentiment monitor for crypto markets using Twitter streams
Survival-analysis of battery health in EV warranty planning
Geospatial clustering of urban heat-island mitigation zones
Topic-model insight engine for patent landscaping
Tensor-decomposition recommender for B2B industrial parts catalogs
Edge-analytics toolkit for predictive maintenance in IIoT factories
Master data tools and deliver insights that move metrics.
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