The Master of Science in Data Science at Cornell University empowers students with a robust foundation in machine learning, statistical modeling, and scalable systems. It prepares graduates to turn complex datasets into actionable insights in industries such as tech, healthcare, finance, and sustainability.
Real-Time Predictive Analytics for Stock Market Volatility
Big Data Pipeline for Smart City Traffic Monitoring
Sentiment Analysis on Customer Reviews Using Deep Learning
Disease Outbreak Prediction Using Social Media Data
Fraud Detection in Financial Transactions Using Random Forests
AI-Based Resume Screening System for Recruitment Automation
Optimizing Product Recommendation Systems Using Collaborative Filtering
Data Visualization Dashboards for Climate Impact Assessment
Predictive Maintenance Models in Manufacturing Using IoT Data
Anomaly Detection in Server Logs Using Autoencoders
Demand Forecasting Model for E-Commerce Retail
AI Model Interpretability Tools for Healthcare Data
Time Series Forecasting for Renewable Energy Generation
Bias and Fairness Audit of Machine Learning Algorithms
Multimodal Data Fusion for Disaster Response Planning
Build predictive models, engineer scalable data systems, and drive decision-making in a data-first world through Cornell’s research-focused data science degree.
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