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Combining critical analysis with practical expertise from data science, this programme provides you with both the computational tools and conceptual skills necessary to: (1) contribute as a knowledge worker to the media industries, cultural heritage institutions, and public government; and (2) critically evaluate how datafication and automation can support public, cultural and media organisations, while upholding key public values, such as transparency, accuracy, privacy, equality and democracy.
COURSES SEM 1 SEM 2 SEMESTER 1 SEMESTER 2 EC
  • Critical Perspectives on Data & AI - Concepts
    Period 1
    6
  • Critical Perspectives on Data & AI - Methods
    Period 1
  • Cultural Data Analysis - Concepts
    Period 2
    6
  • Cultural Data Analysis – Methods
    Period 2
  • Data Project
    Period 3
    6
  • Free-choice electives
    Period 4
    Period 5
    12
  • Master's Thesis
    Period 4
    Period 5
    Period 6
    18

    The Cultural Data & AI Master's thesis concludes the programme and involves an independent research project under expert supervision. The Embedded Research Project can provide the basis for the Master’s thesis.

Compulsory course
Elective
UvA Course Catalogue: Cultural Data and AI
Prof. Tobias Blanke
Copyright: UvA
My research focuses on artificial intelligence and big data devices for research Prof. Tobias Blanke, University Professor of Artificial Intelligence and Humanities Profile page Tobias Blanke

Transferring to the Research Master’s Media Studies

Students who show exceptional promise during a regular or professional programme are encouraged to continue their studies in a research programme. Once students are admitted to the Media Studies research Master’s programme, they can transfer credits earned during their previous course of study towards their research Master’s degree. The Examinations Board determines which courses qualify for transfer.

Within the Media Studies research Master’s programme, the Cultural Data & AI specialisation focuses on further developing computational and conceptual skills for the critical study of data and AI. This intensive and selective two-year programme has been developed for students with proven ability in and passion for research.

Copyright: Paula Helm
The mission of my work is to move AI-Ethics from the PR- to the Engineering- and Development-Level Dr Paula Helm, Asisstant Professor Critical Data Studies and AI Ethics Profile page Dr Paula Helm
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