Northwestern’s Statistics BA blends probability theory, computational techniques, and real-world consulting to transform raw data into actionable insight. Students master R, Python, and machine-learning pipelines while collaborating with campus partners—from biomedical labs to sports-analytics offices—through the Data Science Initiative. A required practicum places majors on interdisciplinary teams delivering client reports to nonprofits or tech startups. Graduates thrive in finance, health analytics, actuarial science, and graduate data-science programs.
Develop a Bayesian hierarchical model predicting wildfire spread using climate data
Analyze shot-selection efficiency in Big Ten basketball through Markov chains
Build a survival-analysis dashboard for hospital patient readmission risk
Create a Shiny app visualizing real-time subway delays and passenger flow
Evaluate fairness metrics in criminal-risk assessment algorithms
Model credit-card fraud detection with ensemble boosting techniques
Study genomic-variant associations with disease using mixed-model regression
Predict movie box-office revenue from social-media sentiment streams
Design an adaptive A/B test framework for e-commerce recommendation engines
Estimate excess mortality during heat waves using Poisson regression
Quantify uncertainty in election polling through multilevel post-stratification
Simulate Monte Carlo pricing of catastrophe insurance derivatives
Assess spatial clustering of COVID-19 variants with scan statistics
Create an interactive tutorial on causal-inference methods for policy analysts
Investigate network community detection in cryptocurrency transaction graphs
Turn data into decisions with Northwestern’s comprehensive Statistics degree.
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