Master’s Degrees in Linguistics

Theoretical and Experimental Linguistics and Phonetics (TELPh)

Master’s degree structure and course content

Linguistics aims to identify the common properties of languages by studying their formal features, their history, their diversity, the way they are learned, and the pathologies that can affect them.

The Master’s degree in Language Sciences – Grands Moulins Campus offers a training program in Theoretical and Experimental Linguistics and Phonetics (TELPh) that is especially oriented towards research, theorization and experimental analysis of linguistic phenomena.

In addition to providing comprehensive training in the different fields of linguistics, this program offers a thorough introduction to the different experimental methods used to describe linguistic phenomena and a critical discussion of the different linguistic theories adopted in modern linguistics to explain such phenomena.

The program offers solid theoretical training in conjunction with the introduction of advanced experimental methods. Experimental work is carried out in one of the department’s laboratories.
The program combines coursework and research on an MA thesis project, thus allowing students to gain expertise in specific subdisciplines, and preparing them for diverse professional fields: linguistic research, language teaching, professions involving language and speech (e.g., speech therapy), communication, language policy (e.g., regional languages and accents, language contact, multilingualism, European integration), linguistic engineering, and professions involving the acoustic analysis of speech.

Computational Linguistics

Master’s degree structure and course content

The field of Natural Language Processing (NLP) has revolutionized industries by enabling advanced generative AI technologies and fostering innovations like real-time translation, intelligent assistants, and automated content creation. UPCité’s master’s program in Computational Linguistics equips students with theoretical and practical skills in NLP, preparing them for careers in industry or research through interdisciplinary training in computer science, data sciences, linguistics, and AI.

The field of Natural Language Processing (NLP) has undergone an extraordinary revolution, becoming a major driving force behind the recent success of generative AI technologies, such as Large Language Models, including the renowned ChatGPT. At the core of this revolution lies the vibrant Computational Linguistics scientific discipline. The field aims to develop models and algorithms that empower computers to understand, generate, and engage with human language, thereby bridging the gap between machines and natural communication. Computational Linguistics offers a rich and dynamic environment for discovery and innovation, ranging from exploring linguistic theories to advancing state-of-the-art machine learning techniques.

The Master’s program in Computational Linguistics combines theory and practice in NLP. The overarching objective of this curriculum is to impart the necessary skills to design, implement, and evaluate NLP systems, transcending the utilisation of pre-existing tools. It is crafted to equip students with the adaptability to navigate the dynamic landscape of the field, encompassing both the practical and theoretical dimensions. Additionally, it fosters interaction with professionals from diverse backgrounds, including data scientists, computer scientists, and linguists, thereby facilitating a collaborative and interdisciplinary learning environment.

Students will receive instruction in computer sciences, statistics, machine learning, data science, artificial intelligence and linguistics. The professional orientation leads to positions in companies specialising in NLP and data science, mainly oriented towards the processing of written texts and audio. The research orientation can lead to a PhD in computational linguistics.

Ingénierie du FLE (IFLE) (in French)

Ce master forme des experts en ingénierie du FLE à Paris (Campus des Grands Moulins). Le cursus s’organise autour de trois axes : l’étude approfondie des propriétés linguistiques du français, l’ingénierie didactique et l’ingénierie numérique. Les étudiants y acquièrent des compétences essentielles pour l’enseignement du français langue étrangère, incluant la conception de dispositifs pédagogiques et l’exploitation d’outils numériques innovants, dont l’IA (intelligence artificielle), pour enrichir les pratiques pédagogiques et personnaliser l’apprentissage du FLE. Une attention particulière est portée à l’ingénierie pédagogique, notamment à travers la préparation à l’habilitation au DELF/DALF. Le master propose deux stages : un en M1 pour une première immersion, et un en M2 pour consolider l’expérience acquise. Ce parcours forme des professionnels capables de répondre aux besoins contemporains de l’enseignement du FLE, en s’adaptant à la diversité des contextes éducatifs.

Langues d’Asie Orientale et Ingénierie du FLE (LAO – IFLE) (in French)

Ce master forme des experts en ingénierie du FLE, spécialisés dans les contextes liés aux langues d’Asie orientale, à Paris (Campus des Grands Moulins). Le cursus s’articule autour de deux axes : l’ingénierie didactique et l’ingénierie numérique. Les étudiants se forment à l’enseignement du français langue étrangère tout en étudiant une langue d’Asie orientale (chinois, vietnamien, japonais ou coréen), ce qui leur permet d’adapter leurs pratiques à des contextes interculturels spécifiques. La formation inclut la conception de dispositifs pédagogiques innovants et l’usage d’outils numériques avancés, notamment l’IA (intelligence artificielle), pour enrichir les pratiques pédagogiques et personnaliser l’apprentissage. Une attention particulière est portée à l’ingénierie pédagogique, avec une préparation au DELF/DALF. Deux stages, en M1 et en M2, permettent une immersion professionnelle progressive et un renforcement des compétences. Ce master prépare des professionnels aptes à relever les défis actuels de l’enseignement du FLE, dans des contextes éducatifs diversifiés.