Master Sciences Du Langage — M1 - Industries de la langue - Linguistic Data Sciences

Linguistic data science, the focus of the M1 Industries de la Langue - Linguistic Data Sciences track within the Master Sciences du Langage at Université Grenoble Alpes, applies data-analysis and computational methods to the study and processing of language. This field combines core linguistics, including phonetics, syntax, and semantics, with statistical and computational approaches to analyzing large collections of text and speech data. Typical subjects include corpus linguistics, computational methods for language analysis, programming for data processing, and the statistical techniques used to extract patterns from linguistic datasets. Students learn to work with structured and unstructured language data, building the technical skills needed to prepare, annotate, and analyze corpora, while also studying the linguistic theory that makes sense of what that data reveals about how language works. Because this track sits at the boundary of linguistics and data science, students typically gain some exposure to programming and statistical tools alongside more traditional linguistic training, preparing them for roles that require both kinds of expertise. Graduates from linguistic data science programs commonly move into roles such as data annotator or curator for language datasets, computational linguist, language-technology specialist, or data analyst in companies and research groups working with textual or spoken language data, including those developing natural language processing applications. Some continue toward further research combining linguistics and computer science. This program is based in Saint Martin D'Heres near Grenoble, France, is taught in French, and runs over two years, with studies scheduled to start in September. Yearly tuition is 250 EUR. It suits students comfortable working with both language structure and quantitative data methods.