Digital text is ubiquitous in contemporary society. Modern computational technology enables exciting applications in both research and the industry. In this Master of Digital Text Analysis, you will acquire all critical and computational skills that are nowadays expected of experts in digital text analysis.
The curriculum is unique in its emphasis on data-heavy approaches to language and text from a Humanities perspective. Starting from scratch, the modules cover a wide array of text technologies, ranging:
from artificial intelligence (machine learning)
over data science (statistics)
to natural language processing (computational linguistics)
This ambitious programme seeks to prepare the next generation of highly self-reliant, culture-aware experts in text analytics, who are highly employable in a variety of research contexts across academia and the industry, including the cultural sector.
Extra Notes
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.