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University of Antwerp Master of Digital Text Analysis (M.A.)
University of Antwerp

Master of Digital Text Analysis (M.A.)

1 Years

English

Full time

Request application deadline

Sep 2025

EUR 979 / per year *

On-Campus

* 1116€ for EEA nationals | 5,800€ for non-EEA nationals

Introduction

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.

Quality assurance

At the University of Antwerp, we ensure the quality of our programmes. Every programme goes through a six-year quality assurance cycle.

A peer review in year 6 concludes this cycle. The study programme conducts a self-reflection has discussions with internal and external experts, and with an independent student.

On 14 and 15 November 2018 the peer review team visited the Master of Linguistics and decided to confirm its confidence in the programme.

Most important conclusions of the peer review

The lecturers have a critical attitude to constantly improving the programme and its position in the higher education market. The study programme stimulates students to follow their interests as much as possible. Therefore at the moment of the peer review, three specialisation options were offered in the Master of Linguistics: (1) Language in use (2) Computational psycholinguistics and (3) Digital Text Analysis. In this last option, a bridge is built between linguistics and literary studies.

This important new development of digitisation receives much-needed attention in the programme, partly due to the lecturers who are leading experts in digitisation in literature and language studies.

The peer review team concludes that the master's theses are at a good level. All master's students of Linguistics can take up a professional or a research internship. The Master of Linguistics is particularly notable for its strong research orientation, which is important to recruit doctoral students.

The Education Committee will further strengthen the internationalisation of the programme by developing structural international partnerships and removing barriers for exchange, such as the burden of administrative formalities and obtaining equivalencies for courses taken abroad. The Education Committee is also implementing blended learning. Although students are formally represented in councils and committees, the study programme is committed to further strengthening the participation of and communication with students. On the advice of the peer review team, the education committee will reflect critically on how the specialisations in the Dutch spoken Master taal- en letterkunde relate to the specialisation options in the Master Linguistics. It will examine to what extent it is meaningful and useful that both master's programmes and similar options continue to be offered side by side. In view of increasing student numbers, the education committee will consider setting up an English programme.

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