UNC’s BS in Biostatistics fuses mathematics, computing, and life-science fundamentals to train data-driven problem-solvers for medicine and public health. Students master regression, survival analysis, and causal inference while coding in R, Python, and SAS. Partnerships with the Gillings School of Global Public Health place undergraduates on research teams tracking pandemics, evaluating vaccine efficacy, and modeling climate-borne disease vectors. Graduates exit fluent in statistical consulting, ready for M.S. or Ph.D. study or for immediate roles in pharma, tech, and government agencies.
Time-series model forecasting seasonal influenza in North Carolina
Bayesian analysis of clinical-trial dropout patterns
Interactive Shiny app visualizing opioid-overdose hotspots
Survival-analysis study of cancer patient outcomes by treatment modality
Machine-learning pipeline classifying MRI images for stroke detection
Meta-analysis quantifying bias in nutrition studies
Spatial statistics of mosquito-borne disease risk under climate scenarios
Power-calculation toolkit for small-sample vaccine trials
Dashboard tracking health-equity metrics across UNC hospitals
Text-mining project extracting adverse-event reports from FDA databases
Educational workshop on reproducible research using R Markdown
Imputation strategy comparison for missing electronic-health-record data
Policy brief on privacy risks in genomic data sharing
Genetic association study pipeline for Type-2 diabetes markers
Simulation of randomized clinical trials with unequal allocation
Cost-effectiveness model for colorectal-cancer screening intervals
Drive evidence-based health decisions through advanced statistical science.
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