Description

The LDS master has three different objectives:

  • to increase the competitiveness of Linguistics as a discipline, by firmly linking it to the shifting demands of the academic and professional job market, specifically the growing need for accurate, accessible, and inspiring engagement with the possibilities of Computer Science and Data Science;
  • to strengthen LDS as an educational and research field, given its cross-disciplinary framework and cutting-edge nature, aiming to respond to contemporary social and technological challenges;
  • to equip students with the methodological and critical instruments to assess fundamental technical, ethical and political implications of the LDS at the local, regional, European and global levels.

     

    Learning Outcomes

    Upon completion of the programme, the students should be able to:

    • systematize fundamental concepts at the intersection of Linguistics, Computer Science and Data Science; develop in-depth knowledge of theoretical, methodological and application aspects related to automatic language processing;

    • manage, structure and distribute large linguistic datasets and metadata to support the automatic analysis of their semantic content;

    • be equipped with knowledge about data visualization, data analysis, data modelling and data transformation;

    • use new machine-learning and Artificial Intelligence techniques in processing of linguistic data;

    • apply theoretical knowledge and respective methodologies into practical experience for the development of research and knowledge transfer onto industry and civil society.