UIUC’s joint Stats & CS BS melds rigorous probability and statistical inference with algorithms, systems, and machine learning to train versatile data scientists. Students build scalable data pipelines, design A/B experiments, and deploy predictive models on cloud platforms. Hackathons, Illinois Data Science Club competitions, and internships at tech giants equip graduates for high-impact roles in fintech, healthcare analytics, AI research, and beyond.
End-to-end recommender system for campus course selection
Causal-inference study of marketing campaign effectiveness
Kubernetes-based deployment of real-time fraud-detection microservice
Deep-learning model diagnosing retinal disease from images
Fairness audit of predictive-policing algorithms
Streaming analytics dashboard for IoT sensor networks
Synthetic-data generator for privacy-preserving research
NLP pipeline summarizing research papers with transformer models
Time-series forecasting of renewable energy output
Graph neural-network classification of molecule properties
Policy white paper on algorithmic transparency standards
Data-viz tool mapping Chicago traffic accident risks
Active-learning framework reducing labeling cost in research datasets
Hackathon project optimizing esports match strategies with analytics
Workshop teaching Git-based version control for data science
Meta-analysis in JupyterBook demonstrating reproducible workflows
Serverless architecture for large-scale A/B testing logs
Engineer intelligent, trustworthy data systems with dual-strength training.
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