Digital Text Analysis
Profile
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.
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Admissions Requirements
Bachelor's degrees in history, Philosophy, Linguistics and Literary Studies, Applied Language Studies, Laws, Communication Studies, Sociology, Political Science, Social and Economic Sciences. Deadline is March 1st.
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Program Information
Antwerp
Belgium
2000
Belgium
- 1 year
- Full Time
- On Campus Learning
Additional Information
Considerations