UMD’s BS in Statistics offers students a solid foundation in probability, statistical theory, data analysis, and computational methods. The program emphasizes both theoretical rigor and practical application, preparing students for careers in data science, actuarial analysis, economics, public health, and more. Students gain experience using software like R and Python, conducting research, and working with big data. The curriculum supports interdisciplinary exploration and problem-solving.
Designing a statistical model to predict college GPA from SAT scores
Time-series analysis of economic indicators using ARIMA models
Bayesian inference application in clinical drug trials
Data cleaning and visualization of public health datasets
Predictive modeling for sports team performance
Development of a survey sampling plan for local businesses
Machine learning integration with statistical regression techniques
Exploratory data analysis on political polling data
Study of sampling bias in media-reported crime statistics
Statistical process control in manufacturing defect analysis
Simulation of queuing systems in airport logistics
Multivariate analysis of air quality and health metrics
Building an interactive dashboard for COVID-19 data trends
Statistical evaluation of academic performance by school district
Survival analysis of patient treatment durations
Developing a data-driven tool for real estate price estimation
Comparing classical and robust statistical estimation methods
Analyzing student retention using logistic regression
Experimental design for a behavioral economics study
Geospatial statistics project on rainfall pattern modeling
Solve real-world challenges using data, mathematics, and computational reasoning in this powerful statistics major.
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