UF’s BS in Statistics teaches students to design experiments, model complex phenomena, and make data-informed decisions using probability theory, regression analysis, and modern statistical software. The program blends theory with application across fields like healthcare, business, social science, and technology. With strong analytical training, students are ready for roles in analytics, actuarial science, data science, or graduate study.
Development of a predictive model for student retention using logistic regression and academic data
Survival analysis of patient discharge times in hospitals using Kaplan-Meier estimates
Comparative study of machine learning algorithms vs. traditional regression for sales forecasting
Analysis of racial disparities in loan approval decisions using public lending datasets
Design of an A/B testing simulation platform for marketing campaign evaluation
Time-series forecasting of Florida hurricane frequency using ARIMA models
Cluster analysis of voter segmentation based on demographic and opinion polling data
Study on the correlation between environmental pollution and asthma incidence using spatial statistics
Evaluation of COVID-19 vaccine effectiveness using observational cohort data
Bayesian analysis of prior distributions in small-sample election prediction models
Monte Carlo simulation of traffic flow optimization at UF campus intersections
Survey design and reliability testing for a student mental health questionnaire
Exploratory data analysis of online course completion rates across multiple institutions
Design and execution of a randomized field experiment on exercise adherence programs
Multivariate analysis of grocery purchase behavior using PCA and k-means clustering
Predictive modeling of housing price trends using real estate data in Gainesville
Study of seasonal variation in crime rates using time-series decomposition
Use of Poisson regression in modeling call center volume forecasting
Simulation-based study comparing sampling methods in population health surveys
Visualizing statistical uncertainty in public health dashboards using R Shiny apps
Analyze uncertainty, uncover insights, and power decision-making with statistics.
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