  The astronomical growth of data has necessitated the need for educating
well-qualified data scientists to derive deep insights from large and complex
data sets generated by organizations. In this paper, we present our
interdisciplinary approach and experiences in teaching a Data Science course,
the first of its kind offered at the Wright State University. Two faculty
members from the Management Information Systems (MIS) and Computer Science (CS)
departments designed and co-taught the course with perspectives from their
previous research and teaching experiences. Students in the class had mix
backgrounds with mainly MIS and CS majors. Students' learning outcomes and post
course survey responses suggested that the course delivered a broad overview of
data science as desired, and that students worked synergistically with those of
different majors in collaborative lab assignments and in a semester long
project. The interdisciplinary pedagogy helped build collaboration and create
satisfaction among learners.
