UMD’s MS in Data Science prepares students for high-impact roles in data-driven fields through rigorous coursework in statistics, machine learning, data engineering, and ethics. Students work with real datasets and advanced tools to design models and pipelines that inform decisions across business, health, and policy.
Design of a real-time traffic prediction system using deep learning
Customer churn prediction model for telecom datasets
Time-series analysis of energy consumption patterns
Sentiment analysis pipeline for Twitter data using NLP
Survival analysis model for patient treatment effectiveness
Recommendation engine for e-commerce personalization
Fraud detection in financial transactions using anomaly detection
Design of a data warehouse for retail analytics
Development of a chatbot using transformer-based models
Implementation of an automated credit scoring algorithm
Predictive maintenance model for industrial sensor data
Image classification system for medical diagnostics
Clustering analysis of market segments based on consumer data
Development of an interactive dashboard using Plotly and Dash
Design of an A/B testing framework for ad optimization
Forecasting crop yields using remote sensing and weather data
Training a GAN to generate synthetic tabular datasets
Ethical evaluation of bias in facial recognition systems
Design of a scalable ML model deployment platform on AWS
Detection of misinformation in news articles using NLP
Drive AI-powered insights and solve global challenges with real-world analytics projects in UMD’s Data Science MS.
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