UC’s MS in Data Science trains students in statistical inference, machine learning, and responsible AI for high-impact industry and research roles.
Real-time anomaly detection in streaming IoT sensor data using online clustering
Differential-privacy toolkit generating synthetic census microdata
Deepfake detection model benchmarking multimodal forensic techniques
Causal inference study of remote-learning policies on student performance
Explainable gradient-boosting model predicting hospital readmissions
Graph analytics identifying misinformation super-spreaders on social media
Reinforcement-learning engine optimizing solar-farm battery dispatch
Natural-language summarizer converting legal documents to plain English
Computer-vision pipeline estimating crop yield from drone imagery
Federated-analytics platform aggregating mobility data for traffic planning
Fairness audit of lending algorithms across demographic segments
Time-series forecasting of electricity demand under extreme-weather scenarios
Interactive dashboard visualizing supply-chain risk for critical minerals
AutoML framework tuning hyperparameters for protein-folding predictors
Synthetic-control method evaluating policy impacts on air-quality indices
Sentiment/emotion classification of multilingual customer reviews
Geospatial clustering of COVID-19 vaccination access deserts
White paper on AI model governance and reproducibility standards
Open-source course material teaching ethics-first data science to undergraduates
Hackathon developing data-for-good solutions for local nonprofits
Translate complex data into solutions with UC’s powerhouse MS.
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