Course Details

Course Name
MA in Digital Humanities
Course Type
Master
Institution
National University of Ireland, Maynooth
Department
An Foras Feasa
Information
https://www.maynoothuniversity.ie/foras-feasa/our-courses/ma-digital-humanities
Curriculum
https://www.maynoothuniversity.ie/foras-feasa/ma-digital-humanities
Status
record actively maintained
Course Language
English
Start Date
2017-09-01
recurring
ECTS
90
Lecturer
Susan Schreibman
PID
Disciplines: Arts and Cultural Studies, Theory and Methodology of DH
Techniques: Brainstorming, Cluster Analysis, Commenting, Concordancing, Debugging, Distance Measures, Emulation, Encoding, Gamification, Georeferencing, Information Retrieval, Linked Open Data, Machine Learning, Named Entity Recognition, Open Archival Information Systems, Pattern Recognition, Preservation Metadata, Principal Component Analysis, Scanning, Searching, Sentiment Analysis, Technology Preservation, Topic Modeling, Versioning, Web Crawling, Text Mining
Objects: Computers, Curricula, DigitalHumanities, Data, Images, Infrastructure, Interaction, Language, Link, Literature, Manuscript, Metadata, Multimedia, Multimodal, NamedEntities, Research, ResearchProcess, ResearchResults, Software, Standards, Text, Tools, Visualization
Access Requirements
Candidates for the Master of Arts in Digital Humanities must have a 2.1 Honours Degree in Humanities, Social Sciences, Arts or in Computer Science. Applicants from abroad must have a recognised primary degree which is considered equivalent to Irish university primary degree level. Minimum English language requirements: please visit Maynooth University International Office website for information about English language tests accepted and required scores. The requirements specified are applicable for both EU and non-EU applicants. Maynooth University’s TOEFL code is 8850
Description
Digital Humanities aligns traditional Humanities-based research with modern data-intensive computational methodologies to produce exciting new research avenues and questions in traditional fields of expertise. The MA degree is transformative in nature and allows graduates from both Arts and Humanities backgrounds, as well as Computer Science backgrounds, to enhance and complement their existing research skills with modern digital methods vital for the modern cultural heritage and information sectors. Our graduates go on to work in the cultural sectors, library and information sectors, local government and civil service and the private sector. They graduate with skills in digital scholarly editing, 2D and 3D computational imaging, and 3D modelling of virtual worlds that are essential for the preservation and promotion of cultural heritage in the 21st century. Further skills developed throughout the degree give students opportunities to move into private sector industries such as game, app and web development where 2D and 3D data modeling, and data analysis are key requirements. Is this the right degree for you? Have a look at our degree structure and find out. If you are a history graduate, a fine arts graduate, or a computer science graduate, our degree programme is tailored to develop your skill set in complementary ways to your existing expertise. For example our pre-term three week intensive Structured Programming module, provided by the Computer Science department, will teach Java programming from first principles to non-Computer Science students. Further modules on the programme will introduce students to the theoretical and practical considerations of modeling humanities data and getting to grips with exciting new methods and challenges in digital heritage. All of our students get the chance to implement their newly acquired skills and understanding in real-world practical environments when they take their internship in the second semester. Check out our partner page to see some of the cultural institutions, SMEs and university projects where our students have carried out their internships and start thinking now about where you might like to intern for your own!
Keywords
Disciplines: Arts and Cultural Studies, Theory and Methodology of DH
Techniques: Brainstorming, Cluster Analysis, Commenting, Concordancing, Debugging, Distance Measures, Emulation, Encoding, Gamification, Georeferencing, Information Retrieval, Linked Open Data, Machine Learning, Named Entity Recognition, Open Archival Information Systems, Pattern Recognition, Preservation Metadata, Principal Component Analysis, Scanning, Searching, Sentiment Analysis, Technology Preservation, Topic Modeling, Versioning, Web Crawling, Text Mining
Objects: Computers, Curricula, DigitalHumanities, Data, Images, Infrastructure, Interaction, Language, Link, Literature, Manuscript, Metadata, Multimedia, Multimodal, NamedEntities, Research, ResearchProcess, ResearchResults, Software, Standards, Text, Tools, Visualization