The rapidly growing demand in data science presents an exciting opportunity for math and statistics departments to redesign courses to benefit both traditional math and statistics majors as well as new students from other disciplines. Creating cohesive undergraduate curriculum entails weaving together content from different courses to steadily develop critical skills necessary to compete in today’s workforce. In this talk I will discuss how the Department of Mathematical and Statistical Sciences at the University of Colorado Denver is integrating data science throughout our undergraduate. I will demonstrate how students experiment with mathematical models in a virtual laboratory using interactive Jupyter notebooks to attract a wider range of students.