Data Science for Artistic and Cultural Analysis

Explore data's role in understanding culture, history, society, and art.

Undergraduate Data Science for Artistic and Cultural Analysis B.A. Program

Students pursuing a B.A. in Data Science for Artistic and Cultural Analysis will learn to integrate a comprehensive knowledge of Data Science methods and theories alongside core critical thinking and creative skills from humanistic study and artistic practice.

They will learn how to apply quantitative and statistical methods to the study of cultural and aesthetic objects; discover how data can change our understanding of history; practice the integration of computation into the creative process; and think critically and philosophically about the role of data in society, culture, and the arts.

Students will develop a broad skillset in computational and statistical methods that they can apply across a variety of domains, including philosophy, history, literature, art, and cultural studies. The B.A. in Data Science for Artistic and Cultural Analysis will prepare students to work across of a range of industries in which a deep knowledge of data science, creative approaches to fundamental problems, and critical thinking skills are prized. 

Learn More About the Data Science for Artistic & Cultural Analysis B.A. Degree Requirements

Pathways in Data Science for Artistic and Cultural Analysis

Students will select one of the four pathways in the major as their primary concentration: 

  • Analysis: applying methods of data science to the study of cultural or artistic objects
  • Archive: understanding new data-driven methods for storing and accessing the cultural record
  • Creation: making and designing artistic objects or visualizations using data
  • Critique: applying humanistic methods to critique computational or quantitative objects or processes

Faculty & Partnerships

Faculty from across the university provide leadership of the program, offer relevant courses, and advise Data Science for Artistic & Cultural Analysis majors. 

The Center for Spacial and Textual Analysis (CESTA) is a key partner on campus for the new subplan. In collaboration with the internship program at CESTA, students will participate in a capstone project that matches their interest and experience, producing concrete outcomes that may include, for example, a written analysis, an interactive visualization, a conference presentation, a digital collection, or a creative object made using data.

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