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Project Ideas for Master of Science in Data Science

Turn massive, messy data into ethical, high-value intelligence.

🏛 Introduction

UNC’s one-year STEM MSDS trains data scientists to deploy cloud-native pipelines, generative AI, and causal-inference techniques in domains from fintech to climate analytics. Students spin up Kubernetes clusters in minutes, apply SHAP to unpack black-box models, and practice stakeholder storytelling in the Data-Viz Studio. A required Ethics Sprint challenges cohorts to mitigate algorithmic harms in live projects.

💡 Suggested Project Titles

Graph neural-network predicting power-grid failure cascades

Real-time anomaly detection in streaming IoT sensor data

Generative LLM fine-tuned for grant-writing assistance

Causal-impact study of stimulus checks on local spending

Synthetic-data generator improving fraud-detection training sets

Dashboard tracking ESG metrics for SME supply chains

Edge-AI model optimizing irrigation schedules in precision agriculture

Quantum-computing exploration of portfolio optimization

Benchmark dataset and fairness audit for facial-recognition APIs

Policy white paper on data trusts for smart-city governance

Automated MLOps pipeline with drift monitoring and CI/CD

Shiny app visualizing historical redlining and loan approvals

UNC-Chapel Hill – MS in Data Science

Master end-to-end ML pipelines and ethical insight to drive data-driven impact.

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