The BS in Data Science at the University of Virginia trains students to extract insights from complex datasets by integrating statistics, machine learning, and data engineering. Emphasizing real-world impact, the curriculum combines theoretical foundations with hands-on projects, covering topics like data mining, visualization, cloud computing, and ethical AI. Students engage in interdisciplinary research and capstones with applications in healthcare, public policy, finance, and the environment. This program prepares graduates to become data-driven problem solvers in a rapidly growing field.
Building a predictive model for emergency room patient wait times using hospital triage data
Creating an open-source data visualization platform for analyzing climate change across different regions
Developing a COVID-19 vaccine sentiment tracker using real-time Twitter and Reddit data with NLP
Designing an AI-based early warning system for financial fraud detection in credit card transactions
Mining large-scale educational datasets to identify key factors contributing to student dropout rates
Constructing an equity-focused criminal justice dashboard analyzing racial bias in sentencing patterns
Time-series analysis of renewable energy production to optimize grid integration in Virginia
Implementing a recommender system for university course selection based on historical GPA performance
Machine learning model to forecast agricultural yield variations using satellite imagery and soil data
Designing a bias-detection pipeline to audit datasets and ML models for fairness across protected groups
Interactive map of food deserts in rural counties using geospatial clustering and socioeconomic data
Real-time disaster damage estimation from social media and satellite feeds using deep learning models
Building a secure, cloud-deployable ML inference API for small business analytics use
Simulating the effects of universal basic income policies using agent-based modeling with demographic data
Developing a data-driven pricing model for ride-sharing services based on supply-demand imbalances
Creating a multilingual chatbot that answers city planning questions using government open data APIs
Text mining local newspaper archives to identify historical trends in public health concerns
Designing a multi-modal model combining images, text, and time data for wildfire risk assessment
Monitoring deforestation patterns in the Amazon using satellite data and unsupervised learning
Constructing an academic dishonesty predictor model based on LMS activity logs and metadata
Lead data-driven change across industries with UVA’s powerful and practical Data Science BS.
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