Ad Hoc MA in Digital Humanities

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The McGill Centre for Digital Humanities and the Department of Languages, Literatures, and Cultures, offers a new Ad Hoc MA in Digital Humanities, beginning fall 2016. The program is grounded in the computational study of art, culture, history, society, and technology. It brings together different fields of inquiry under a larger methodological domain, one that centres on the application of computational analysis toward the understanding of human culture. Whether it is the study of art, architecture, film, television, history, language, literature, media, music, or politics, what characterizes the Ad Hoc MA in Digital Humanities is a focus on learning various methods for the computational study of these phenomena as well as a critical look at the effects of computing on scholarship.

The program emphasizes course work in the areas of cultural theory, cultural analytics, and data visualization and culminates in a thesis and/or digital project. Graduates will have engaged in theoretical debates about different forms of cultural expression (film, literature, music, etc.) as well as practical and hands-on debates about applying and developing computational tools to better understand these phenomena. Graduates will be at home in and critically engaged with the increasingly digital nature of economic, social, and cultural life. Prior knowledge of programming languages is essential and should be well-described in the application.

Program Advisor:

Andrew Piper (Languages, Literatures, and Cultures)
cultural analytics; history of reading technologies; German and European literature

Affiliated Faculty:

Jackie Cheung (School of Computer Science)
computational linguistics, natural language processing and understanding, language generation, literary summarization

Gabriella Coleman (Art History and Communication Studies)
hacking, digital politics, science and technology studies

Ichiro Fujinaga (Schulich School of Music)
music information retrieval, machine learning, digital libraries

Benjamin Fung (Library and Information Science)
data mining, integration, and sharing, information network mining, privacy protection, information security

F. Jamil Ragep (Institute of Islamic Studies)
Ancient Arab texts, databases, data mining, digital imaging

Cecily Raynor (Languages, Literatures, and Cultures)
Latin American blogosphere, digital readership, web analytics, text mining

Derek Ruths (School of Computer Science)
social media, text mining, network modeling, large-scale data analysis

Stefan Sinclair (Languages, Literatures, and Cultures)
text analytics, data visualization, DH history, Oulipo |

Jonathan Sterne (Art History and Communication Studies)
sound studies; media theory and historiography; science and technology studies; new media; multimodal scholarship; disability studies; music.

For more information please see the full regulations at Be advised departments have the right to retain pre-requisites for complimentary courses; students should contact course instructors directly to assess whether they have sufficient background in a discipline.