BIG DATA E CIÊNCIA DE DADOS: UMA INOVAÇÃO CURRICULAR NO DESIGN DE VESTUÁRIO

• DOI: https://doi.org/10.22533/at.ed.2952403077

• Palavras-chave: Big Data; Ciência de Dados; Design de Vestuário

• Keywords: Big data; Data Science; Apparel Design

• Abstract: The central theme of this article is Big Data and Data Science concerning the fashion market and training, and it aims to identify whether the use of Big Data and Data Science in the fashion market can *impact* the employability of graduates in Apparel Design. The aim is to understand the strength of these technologies in the field of fashion and, from this point of view, to consider the importance of innovating in the curriculum matrices of Apparel Design and thus provide students with training in line with the market. The research is *introductory*, descriptive, and qualitative. It uses bibliographic methods and a descriptive review. The theoretical findings revealed the use of these technologies in areas ranging from trend research to relationships with fashion consumers. The results indicated: a) the growing movement on the use of Big data and Data Science in Fashion; b) the need for technological skills for design work and the user experience; c) the professional profile that goes beyond the traditional scope of training in the area; d) the search to develop the ability on machines to carry out human creative processes; and e) the still incipient interest in the field of Fashion research in the subjects of Big data, Data Science and training, *despite the rapid digital transformation we are undergoing*. The conclusion is that integrating Data Science and Big Data in the training of Apparel Design is essential to strengthen the connection between design, the market, and employability.