Course Details

Course Name
Diploma / Certificate in Digital Humanities
Course Type
Course
Institution
University College London
Department
Information Studies
Information
http://www.ucl.ac.uk/dh/courses/short
Curriculum
-
Status
record actively maintained
Course Language
English
Start Date
2011-10-01
recurring
ECTS
-
Lecturer
Simon Mahony
PID
Disciplines: Arts and Cultural Studies, Computer Science, Library Science and Information Science, Other
Techniques: Concordancing, Encoding, Information Retrieval, Linked Open Data, Machine Learning, Mapping, Text Mining
Objects: Artifacts, Computers, DigitalHumanities, Data, Images, Images(3D), Infrastructure, Literature, Manuscript, Map, Metadata, Multimedia, Multimodal, Research, Text, Tools
Access Requirements
Potential applicants need to have a first or upper second-class Honours degree in a relevant Humanities or Computing discipline from a UK university, or an overseas qualification of an equivalent standard. The English Language Proficiency Requirement for all non-native English speakers is IELTS: a minimum of 7.0 with no less than 6.5 in each sub-set. TOEFL: a minimum overall score of 100 with 24/30 in reading and writing and 20/30 in speaking and listening.
Description
In addition to the full Master's programme, the following short courses in Digital Humanities are also offered by the Department of Information Studies. Certificate in Digital Humanities This is a very flexible programme for anyone looking to extend their skill set, particularly for CPD. Students registered for the Certificate must complete four modules from our DH core and options list as agreed with the Programme Director. Diploma in Digital Humanities Again this is a very flexible programme with students taking all five core modules from the full Master's programme and a further three from the optional modules list. Diploma students do not take the workplacement or dissertation modules. This can be completed full-time over nine months or by flexible study over two to five years.
Keywords
Disciplines: Arts and Cultural Studies, Computer Science, Library Science and Information Science, Other
Techniques: Concordancing, Encoding, Information Retrieval, Linked Open Data, Machine Learning, Mapping, Text Mining
Objects: Artifacts, Computers, DigitalHumanities, Data, Images, Images(3D), Infrastructure, Literature, Manuscript, Map, Metadata, Multimedia, Multimodal, Research, Text, Tools