The Statistics BA at UIUC combines rigorous theoretical foundations—probability, mathematical statistics, and stochastic processes—with hands-on data-science applications using R, Python, and SQL. Students collaborate with research centers on projects in public health, sports analytics, finance, and environmental science. Capstone experiences and the Illinois Statistics Club prepare graduates for quantitative roles in industry and for graduate study in statistics, biostatistics, and data science.
Predictive model of campus bike-share demand using weather data
Bayesian analysis of clinical-trial outcomes for a new vaccine
Interactive Shiny app visualizing NCAA basketball shot charts
Time-series forecasting of carbon emissions in Illinois
Monte-Carlo simulation of epidemic spread under intervention scenarios
Dashboard ranking MLB players with hierarchical models
Spatial statistics study of urban heat-island intensity
Machine-learning project predicting credit-card fraud
Meta-analysis of educational-intervention effect sizes
Risk-assessment tool for agricultural crop insurance
Survival analysis of patient outcomes in regional hospitals
Cluster analysis of consumer segments for e-commerce personalization
Experimental design evaluating social-media ad effectiveness
Bootstrapping study on sampling variability in voter polls
White paper on ethics in predictive policing algorithms
Harness data rigorously and ethically with Statistics at UIUC.
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