Data and the Creative Arts

Issued by Elon University

This microcredential empowers students to apply quantitative inquiry, statistical analysis, and machine learning to artistic questions. Earners have explored the role of data in art creation and reception, how data manipulation can enhance scholarly inquiry in fields like music, and have used technology to integrate data into creative expression. They have gained skills in data collection and analysis, culminating in a project that reflects their engagement with these themes.

Type Validation
Level Intermediate
Time Days
Cost Free

Skills

Creative Expression
Critical Thinking
Data Literacy
Information Literacy
Liberal Arts
Machine Learning (ML)
Statistical Analysis

Earning Criteria

Attend a workshop series, offered by the Data Nexus division at Elon University.
Complete a culminating project presentation and reflection that together documents a rigorous engagement with the central learning goals and themes of the relationships between data and art.