The Data Analytics Concentration
The Data Analytics (DA) concentration prepares students from a wide range of disciplines to use data to address problems in their chosen disciplines and in multidisciplinary settings. The concentration provides understanding of and computational skills necessary to do data analysis, modeling and simulation, data visualization, and more generally to understand the concept of data-driven decision making and predictions about the future. Students learn various tools that can be used to make sense of data and how to identify the ways in which data are used to manipulate the message conveyed by data. The concentration also addresses issues of algorithmic bias, data ethics, and the power exercised by those who control data and make decisions about its use.Requirements
Additional courses that will be added to this new concentration in the coming year will address topics such as modeling and simulation, data visualization, algorithmic bias, and machine learning.
Faculty
Valerie Barr – Computer Science (director)
Sven Anderson – Computer Science
Jordan Ayala – Data Analytics; Environmental Studies
Beate Liepert – Environmental Studies; Physics
Allison Stanger – Technology and Human Values; Hannah Arendt Center