Course Details

Course Name
PhD in Digital Humanities
Course Type
PhD Programme
Institution
University College London
Department
Information Studies
Information
https://www.ucl.ac.uk/information-studies/phd
Curriculum
-
Status
record actively maintained
Course Language
English
Start Date
2011-10-01
recurring
ECTS
-
Lecturer
Simon Mahony
PID
Disciplines: Library Science and Information Science
Techniques: Cluster Analysis, Collocation Analysis, Encoding, Georeferencing, Information Retrieval, Linked Open Data, Machine Learning, Mapping
Objects: Artifacts, Computers, DigitalHumanities, Data, Images, Images(3D), Manuscript, Map, Multimedia, Research, ResearchProcess, Text, Tools, Visualization
Access Requirements
To apply formally for the PhD, please complete an application form, which should include full transcripts of previous academic studies and appropriate references, at least one of which must be from an academic. A copy of your research proposal should also be included. Applicants need to write a research proposal of around 1500 words. The proposal will be an important part of your application and enables us to see whether we can supervise your topic. The proposal should include a provisional title, the purpose of the research to be undertaken or research questions you are hoping to investigate, a proposed methodology and initial bibliography. International Students must also provide evidence of English Language proficiency, for example, IELTS overall grade of 7.0 with a minimum of 6.5 in each of the subsets.
Description
UCL Centre for Digital Humanities facilitates the work of students carrying out PhD or EngD research, both from the UK and abroad. Most PhDs at UCLDH will, depending on their supervisor, be based in the Department of Information Studies (DIS), and UCL DIS provides further information about research degrees. Those interested in more technical areas should also look at the UCL Engineering Doctorate (Virtual Environments Imaging and Visualisation) pages, where funded EngD places will be advertised.
Keywords
Disciplines: Library Science and Information Science
Techniques: Cluster Analysis, Collocation Analysis, Encoding, Georeferencing, Information Retrieval, Linked Open Data, Machine Learning, Mapping
Objects: Artifacts, Computers, DigitalHumanities, Data, Images, Images(3D), Manuscript, Map, Multimedia, Research, ResearchProcess, Text, Tools, Visualization