  The definition of Data Science is a hotly debated topic. For many, the
definition is a simple shortcut to Artificial Intelligence or Machine Learning.
However, there is far more depth and nuance to the field of Data Science than a
simple shortcut can provide. The School of Data Science at the University of
Virginia has developed a novel model for the definition of Data Science. This
model is based on identifying a unified understanding of the data work done
across all areas of Data Science. It represents a generational leap forward in
how we understand and teach Data Science. In this paper we will present the
core features of the model and explain how it unifies various concepts going
far beyond the analytics component of AI. From this foundation we will present
our Undergraduate Major curriculum in Data Science and demonstrate how it
prepares students to be well-rounded Data Science team members and leaders. The
paper will conclude with an in-depth overview of the Foundations of Data
Science course designed to introduce students to the field while also
implementing proven STEM oriented pedagogical methods. These include, for
example, specifications grading, active learning lectures, guest lectures from
industry experts and weekly gamification labs.
