Duke University

Overview

The Master of Arts in Computational Media at Duke University explores the intersection of computation and creative expression in the arts and humanities. This program equips students with the skills to design, build, and assess digital media systems, encompassing everything from data-driven storytelling to interactive and generative experiences.

What you'll study

Program Structure

• Core and elective coursework that examines computational methods for media, data analysis, and interactive systems.
• Lab affiliation and collaborative research opportunities to enhance project-based learning and mentorship.
• Hybrid theory–practice thesis that merges research with a significant creative or technical project.

Typical course themes include:

• Physical computing, algorithmic art, and foundational programming for creative systems.
• Database design and techniques for visual and quantitative data analysis.
• 3D modeling and digital spatial media, focusing on virtual reality and interactive exhibition design.
• Generative media encompassing text, visuals, and sound, along with interface design and installation-oriented digital practices.
• Web and mobile development for interactive experiences, including augmented reality and virtual environments.
• Speculative interaction design and prototyping methodologies for new human–computer interaction paradigms.
• Data mining, network analysis, and computational strategies for game development and interactive systems.
• Digital mapping and workflows in museums/exhibitions, including photogrammetry and digital archiving practices.
• Digital publishing, archives, text analysis, historical GIS, and data visualization for effective research communication.

Thesis requirement

• Completion of a hybrid theory–practice thesis that combines conceptual analysis with the creation of a computational media artifact.
• Thesis development typically occurs under faculty guidance and is supported by lab affiliations.

Entry requirements

Applicants are evaluated based on their academic background and readiness for graduate-level study. A strong undergraduate GPA is generally expected, and candidates may need to submit standardized test scores, such as the GRE or its equivalent. Additional application materials include a statement of purpose, resume, letters of recommendation, and possibly an interview or video introduction.

Career prospects

Graduates of the Computational Media program are well-positioned for a range of career opportunities in both creative and technical fields. Potential career paths include roles in digital media production, interactive design, data visualization, and research within arts and humanities contexts. The skills developed in this program open doors to innovative practices in various industries, including technology, education, and the arts.