The program produces graduates with strong computing, engineering, and analytics competencies that will design and build systems for collecting, storing, and analyzing data at scale.  Students will learn the knowledge and skills required throughout the data science lifecycle, including the principles of data acquisition, management, integration, predictive modeling, and visualization. Required courses provide rigorous training in computer programming, algorithms, data structures, databases, statistical inference, predictive modeling, big data analytics, and machine learning as well as data security, privacy, and ethics. Elective courses provide students the opportunity to acquire advanced competencies in areas such as artificial intelligence, data mining, software engineering, numerical computing, and stochastic modeling and to become familiar with various data-intensive scientific and engineering domains. All Data Science and Engineering majors complete a year-long senior design project where they apply their skills to design and implement solutions to real-world data-intensive problems.