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Project Ideas for Bachelor of Science in Statistics

Interpret data, assess uncertainty, and guide decisions through statistical modeling and analysis.

🏛 Introduction

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.

💡 Suggested Project Titles

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

University of Florida – BS in Statistics

Analyze uncertainty, uncover insights, and power decision-making with statistics.

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