THE MASTERS PORTAL
Home
web_2020_MA DTA (2) Header image webpages.jpg
Master of Digital Text Analysis
web_UA-eng-hor-1-RGB.jpg

Relevant links


Name of the Masters programme

Master of Digital Text Analysis


Institution

University of Antwerp


Contact the student advisors
More information on this institution
Our Social Media:

    Master of Digital Text Analysis
  • Brief profile
  • Course content
  • Career
  • Admission
  • Impressions
  • Masters programme
  • Contact
|�|

Studying Master of Digital Text Analysis at the University of Antwerp

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.


More information on this programme? Visit the website!

next: Studieninhalte »

|�|

Master of Digital Text Analysis: Subjects

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.

Starting from scratch, the curriculum covers a wide array of text technologies. Natural Language Processing: Technologies from computational linguistics are nowadays crucial in digital text analysis. This module offers an extensive introduction to modern pipelines in Natural Language Processing. Jointly, we work towards practical applications on textual data, as well as solutions for the many challenges that remain open in the field. Data Science: Employers in academia and the industry increasingly expect data scientists to be able to rapidly extract relevant insights from large document collections. In this module, we focus on exploratory data analysis and practical data visualization, involving challenging, real-world datasets. Machine Learning: Deep learning features prominently in this programme, as a crucial component of contemporary artificial intelligence. Modules focusing on neural networks are supplemented by a wide-ranging and in-depth survey of established, alternative methods from machine learning.


More information on this programme? Visit the website!

« back: Brief profile

next: Career »

|�|

Master of Digital Text Analysis: Career Prospects

This Master's programme puts research first and opens up the prospect of exciting career opportunities for our students:

  • Become an academic researcher and pursue a PhD in a Humanities field of your own choice at a university or research institution.
  • Large technology companies increasingly offer research positions in data science or machine learning, amongst others targeting linguistic data. With this degree, you would be an excellent fit in such a vacancy.
  • The importance of computing technology is growing in other domains too, like the cultural sector (including digital publishers or heritage institutions). Become a technology expert in this field, where your outspoken affinity with the Humanities and critical thinking will definitely set you apart from your peers. 

More information on this programme? Visit the website!

« back: Course content

next: Admission »

|�|

Master of Digital Text Analysis: Admission Requirements

Degree requirements The Master is open to everyone holding one of the following Bachelor’s degrees: Linguistics and Literature, History, Art History or Anthropology (more information on www.uantwerp.be/digital-text-analysis). Holders of other academic Bachelor’s degrees need permission from the faculty. Other requirements No previous experience with computing technology or programming is required, except for very basic computer skills. The programme is taught in English. If your degree was not issued by a recognised educational institution in Belgium, the Netherlands or Luxembourg, you will have to prove your proficiency in English. More information on https://www.uantwerpen.be/en/study/programmes/all-programmes/digital-text-analysis/admission-and-enrolment/


More information on this programme? Visit the website!

« back: Career

next: Impressions »

|�|

Master of Digital Text Analysis - Impressions of your Masters study

For privacy reasons YouTube needs your permission to be loaded.
Privacy Policy »

Accept

More information on this programme? Visit the website!

« back: Admission

next: Masters »

|�|

Overview of Masters programmes - University of Antwerp



More information on this programme? Visit the website!

« back: Impressions

next: Contact »

|�|

Institution

University of Antwerp


Location: International Students Office - Campus Middelheim Middelheimlaan 1
2020 Antwerpen
Belgien
Antwerp
T   +32 3 265 31 89
E   internationalstudents@uantwerp.be

« back: Masters programme

Facts about the Masters programme

Location

Antwerpen

Field of study

Fine Arts & Music

Degree

Master of Digital Text Analysis

Language

English

Start

Application deadline

ask the institution

Type of study

Full-time

Duration of study:

Tuition fees EU: 961,90 EUR /

Tuition fees Non EU: 5.800 EUR /

ADD TO WATCHLIST
Related & recommended articles:

Facts about the Masters programme

Location

Antwerpen

Field of study

Fine Arts & Music

Degree

Master of Digital Text Analysis

Language

English

Start

Application deadline

ask the institution

Type of study

Full-time

Duration of study:

Tuition fees EU: 961,90 EUR /

Tuition fees Non EU: 5.800 EUR /

MASTER AND MORE Study Portals

Masters portal for Germany: www.master-and-more.de

Masters portal for Austria: www.master-and-more.at