Data Science, Bachelor of Science
Department Chair: Howard Lichtman
Faculty:
Howard Lichtman, Kyle Britton, Romas James Hada, Weian Wang
Major
Data Science
Minor
Data Science
About
There is an unfathomable amount of data in the world, and new data is generated every second of every day. In virtually every sector, ranging from business and finance to healthcare, the demand for Data Scientists is only growing. Data Scientists harness data to inform decision-making, improve operational efficiency, and foster innovation.
Our Data Science program begins with two foundational Data Analytics Core courses, introducing students to data manipulation and data visualization using spreadsheets. Students advance to using Python and cutting-edge machine learning to create predictive models and work with unstructured data. This program emphasizes predictive modeling and AI systems, such as Large Language Models (LLMs), and is technically rigorous.
This program is deliberately smaller than many other programs in Data Science to allow students to pursue their interests in the liberal arts, and consider how their newfound understanding of data might shape how they look at problems in other fields. This is done in a reduced course load by focusing on high-demand technical specializations in upper-level courses: Machine Learning and Large Language Models. Its design has benefited from over three years of continuous refinement, incorporating valuable feedback from instructors, students, and curriculum committees, and extensive testing of a prior version of this program.