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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.
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.
Admission requirements The Master is open to everyone holding one of the following degrees:
Bachelor of History
Bachelor of Philosophy
Bachelor of Linguistics and Literary Studies
Bachelor of Applied Language Studies
Bachelor of Laws
Bachelor of Communication Studies
Bachelor of Sociology
Bachelor of Political Science
Bachelor of Social and Economic Sciences
Other academic Bachelor degrees need permission from the faculty.
1 Year
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
Domestic
1,116 EUR
International
5,800 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Digital Text Analysis
Stadscampus, Antwerp, Belgium
# 201-250QS Subject Rankings
12 monthsProgramme duration
5,800 EURTuition Fee/year
LinguisticsMain Subject Area
Programme overview
Main Subject
Linguistics
Degree
MA
Study Level
Masters
Study Mode
On Campus
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.
Programme overview
Main Subject
Linguistics
Degree
MA
Study Level
Masters
Study Mode
On Campus
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.
Brochures
Admission Requirements
- Bachelor of History
- Bachelor of Philosophy
- Bachelor of Linguistics and Literary Studies
- Bachelor of Applied Language Studies
- Bachelor of Laws
- Bachelor of Communication Studies
- Bachelor of Sociology
- Bachelor of Political Science
- Bachelor of Social and Economic Sciences
Other academic Bachelor degrees need permission from the faculty.Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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