The Bachelor of Arts in Statistics at the University of Wisconsin–Madison equips students with essential skills in data analysis, probability, and statistical modeling. With a strong liberal arts foundation, students learn to interpret and communicate insights from data — preparing for careers in business, government, healthcare, research, and tech.
Predicting Housing Prices Using Regression Analysis
Analyzing Voter Turnout Trends Using Logistic Regression
Designing a Survey and Analyzing Response Bias
Bayesian Inference for Disease Prevalence Estimation
Time Series Analysis of Climate Data for Temperature Forecasting
Modeling College Admissions Using Decision Trees
The Role of Randomization in A/B Testing for Web Design
Creating a Dashboard for Real-Time COVID-19 Data Tracking
Monte Carlo Simulation for Risk Assessment in Finance
Evaluating Customer Churn Rates Using Survival Analysis
Analyzing Socioeconomic Data Using Principal Component Analysis
Forecasting Crime Rates in Urban Areas with Machine Learning
Analyzing Gender Bias in Job Advertisement Texts
Using Statistical Methods to Detect Election Anomalies
Data Visualization Techniques for Public Policy Communication
Assessing the Effect of Class Size on Student Performance
Sampling Techniques for Rural Health Surveys
Modeling Insurance Claims with Poisson Regression
Developing a Recommendation System Using Collaborative Filtering
Statistical Analysis of Sports Performance and Game Outcomes
Analyzing the Distribution of Income Inequality Using Gini Coefficients
Building Predictive Models for College Dropout Risk
Master statistical reasoning and real-world analytics through UW–Madison’s data-centric and interdisciplinary statistics program.
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