During the first two years of the program, students will build foundational skills in computer programming and logical reasoning in mathematics, with some introductory topics in databases and data science workflows. Advanced skills are taught in the last two years. Beyond standard topics such as machine learning, the program will offer undergraduate students a unique opportunity to learn both techniques for handling geospatial data and state-of-the-art tools for understanding causes and effects rather than just simple correlation.
In their junior year, students will apply material from previous classes in a series of group projects. As a culmination of the hands-on, interdisciplinary curriculum, students will work on an individual capstone project to develop a data driven solution for an outside group, such as a local business or national organization, during their senior year. After graduation, students will be ready for immediate employment as data scientists or for advanced coursework in a variety of graduate programs.