Undergraduate Courses

Requirements


Lower Division (one required): Each of these classes introduces students to the use of digital tools and methodologies to examine complex cultural, social, and historical dynamics. See the master list for the full list of options.

Upper Division: In addition to the Lower Division course, Minors need to take:

      1. DH 101
      2. One upper division course, DH 110-160, and
      3. Four other upper-division electives, which may be DH courses or courses from other disciplines. See the master list for the list of options from other disciplines.

DH 195 Internships

The DH Program is not offering any DH 195 internships at this time. If you are already working closely with a DH affiliated faculty member and have identified a possible internship together, then first consult with your faculty sponsor to see whether they would be willing to supervise your 195.

Course Petitions

Please fill out this form if you’d like to petition for an elective. Include all the information you can, including a syllabus, if available. Petitions will be reviewed at least once per quarter. Please email Deanna Finlay if you have additional questions.

Questions?

Contact our SAO, Deanna Finlay at deanna@humnet.ucla.edu

Fall 2025

  • DH 101 – Introduction to Digital Humanities

    Instructor: Wendy Kurtz

    Foundation course for students in the Digital Humanities minor, providing a theoretical and conceptual framework for understanding the genesis of the digital world. Use of contemporary cultural-historical methodology to focus on the rise of new media and information technologies in the 19th, 20th, and 21st centuries, such as photography, film, radio, television, the Internet, and the World Wide Web, and their impact on how individuals, groups, and cultures experienced their worlds.

  • DH 110 – User Experience and Design

    Instructor: Nicholas Sabo

    Introduction to fields of user experience (UX) research and design. Covers UX design methods and processes, including ethnographic field research, persona-scenario development, information architecture, prototyping, and usability testing. Students learn by hands-on practice in a human-centered process: how to understand users, how to design interfaces and interactions for users, and how to evaluate and communicate user experience design with users.

  • DH 112 – Information and Visualization

    Instructor: Cindy Nguyen

    Designed for introductory exposure to Python, GitHub, word embeddings, and network visualization. How can information visualization reveal and critique structures of power and forms of hegemonic representation in the historic and cultural record? Practice-centered study focuses on both critique and creation as interwoven approaches to information visualization. Culminates in collaborative, playful data-centered storytelling committed to alternative narratives and liberatory futures. Introduction to transdisciplinary skills of quantification, visual literacy, and data communication. Through hands on practice, group self-directed tutorials, individual and collaborative work, and aligned workshops, students are exposed to tools and techniques such as Web scraping, OpenRefine, Tableau, Plotly, Neo4j, GitHub, digital storytelling, digital publishing, and data journalism.

  • DH 120 – Social Media Analytics

    Instructor: Nicholas Sabo

    Social media data analytics, with focus on questions of power, privilege, identity, whose voices count and in what spaces, as well as how data science and digital humanities may be used to challenge power structures. Study of how social media has been used both to undermine and to support social justice and political change movements, ways in which social media data is currently used by corporate entities, and ethical data usage. Students learn digital research methods including quantitative and qualitative data analytics, statistics, as well as data visualization to examine social media data.

  • DH M121 – Race, Gender, and Data

    Instructor: Munia Bhaumik

    Data plays a crucial role in political representation, governmental resource allocation, and policy decisions. Investigation of how data does or does not ascribe a quantitative value to a human life by employing a community-engaged emphasis to study how emerging digital models link data with social justice organizing. Students learn to read datasets produced by governmental entities such as the U.S. Census Bureau, Bureau of Labor Statistics, and Department of Health and Human Services. Assignments include working on a community-engaged data project that evaluates and addresses key concerns facing communities-of-color. Introduction to critical data studies and applied data ethics. Studio sessions include lessons on finding and analyzing datasets relevant to racial and gender justice themes; and to generating data visualizations, digital stories, and maps using the latest software tools. No prior knowledge of statistics or quantitative analysis is required.