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Anything that falls under the umbrella of Data Science and Information Science is intrinsically interdisciplinary and the classes I took at UCLA where were  as interdisciplinary as it gets. During my first two years as a Ph.D., I took classes such as \begin{itemize}  \item Methods for social network analysis (\textbf{Sociology})  \item Critical studies of architecture (\textbf{Architecture})