The NYU MS in Data Science prepares students to manage and analyze large, complex datasets using cutting-edge algorithms, statistical modeling, and machine learning. Located in the heart of New York City, this program provides strong industry connections, applied research, and exposure to big data ethics. Students gain fluency in Python, R, SQL, and AI tools while solving real-world problems across domains. Whether in health, finance, tech, or policy, the program cultivates data-literate leaders for the AI-powered economy.
Predicting hospital readmission rates using EHR datasets
Customer churn prediction using decision tree and ensemble models
Analyzing traffic congestion using GPS trajectory clustering
Building a real-time stock market sentiment tracker
Fraud detection in banking using anomaly detection methods
Climate pattern prediction using spatiotemporal modeling
Visualizing income inequality trends across U.S. cities
Designing an AI assistant for mental health triage
Fake news classification using natural language processing
Recommendation engine for personalized learning platforms
Real-time air quality forecasting using IoT sensor data
Modeling loan default risk using logistic regression and SMOTE
Topic modeling on customer product reviews using LDA
Evaluating job market trends using LinkedIn job data
Forecasting renewable energy supply using neural networks
Crime heatmap prediction using location-based clustering
COVID-19 variant spread prediction using time-series analysis
Optimizing restaurant delivery times using linear programming
AI fairness audit on loan approval algorithms
Building a resume screening model with keyword extraction
Solve complex challenges with data-driven methods in NYU’s industry-connected Data Science MS.
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