The BS in Data Science at UMD prepares students to extract insights from complex data using advanced tools in statistics, machine learning, and data engineering. The interdisciplinary curriculum includes coursework in computer science, math, and information studies, along with hands-on labs in R, Python, and SQL. Students gain practical experience through industry-focused capstone projects, internships, and research, enabling them to tackle problems in business, healthcare, government, and more.
Customer churn prediction using logistic regression models
Visualization of crime trends using interactive Tableau dashboards
Building a movie recommendation engine with collaborative filtering
Time series forecasting of stock market indices using ARIMA
Developing a classification model for spam email detection
Analyzing social media sentiment during political elections
Designing a real-time analytics dashboard for traffic congestion
Predicting diabetes onset using health record datasets
Clustering consumer segments for targeted marketing
Creating a search engine for academic publications using NLP
AI-based resume screening tool for HR recruitment systems
Evaluating feature importance in credit scoring models
Detecting fraudulent online transactions using anomaly detection
Analysis of NFL game statistics for performance optimization
Forecasting hospital emergency department demand
Real-time weather prediction using ensemble models
Building an AI chatbot for student academic advising
Scraping and analyzing e-commerce reviews for trend insights
Mapping COVID-19 impact on U.S. states using open datasets
Ethical implications of algorithmic bias in predictive policing
Launch your career in data analytics, AI, or machine learning with UMD’s cutting-edge Data Science program.
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