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Natural Language Processing (NLP) has transformed numerous sectors by enabling advanced generative AI technologies, including large language models (LLMs), and fostering innovations such as real-time translation, intelligent virtual assistants, and automated content generation. The Master’s programme in Computational Linguistics at UPCité equips students with both theoretical understanding and hands-on expertise in NLP, preparing them for careers in the industry or academia through an interdisciplinary curriculum encompassing computer science, linguistics, and artificial intelligence.
The programme is organised around three core types of lectures:
NLP Lectures that provide a comprehensive introduction to the tools, algorithms, and systems that underpin contemporary NLP applications. A strong emphasis is placed on both theoretical principles and practical implementation, including dedicated modules on the architecture, training, and deployment of LLMs. Students gain insight into how these models work, their capabilities and limitations, and their societal implications.
Linguistics Lectures aimed at ensuring that students develop a robust understanding of the theoretical frameworks necessary to address real-world language data, whether textual or spoken. This linguistic grounding is essential both for understanding the hypotheses underlying the idea that LLMs and other NLP systems can effectively process natural language, and for critically engaging with their outputs.
Computer Science and Data Science Lectures that equip students with the computational and analytical skills required to design, build, and evaluate NLP systems. Topics include machine learning (including deep learning), software engineering, and data processing
Programme overview
Main Subject
Linguistics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Natural Language Processing (NLP) has transformed numerous sectors by enabling advanced generative AI technologies, including large language models (LLMs), and fostering innovations such as real-time translation, intelligent virtual assistants, and automated content generation. The Master’s programme in Computational Linguistics at UPCité equips students with both theoretical understanding and hands-on expertise in NLP, preparing them for careers in the industry or academia through an interdisciplinary curriculum encompassing computer science, linguistics, and artificial intelligence.
The programme is organised around three core types of lectures:
NLP Lectures that provide a comprehensive introduction to the tools, algorithms, and systems that underpin contemporary NLP applications. A strong emphasis is placed on both theoretical principles and practical implementation, including dedicated modules on the architecture, training, and deployment of LLMs. Students gain insight into how these models work, their capabilities and limitations, and their societal implications.
Linguistics Lectures aimed at ensuring that students develop a robust understanding of the theoretical frameworks necessary to address real-world language data, whether textual or spoken. This linguistic grounding is essential both for understanding the hypotheses underlying the idea that LLMs and other NLP systems can effectively process natural language, and for critically engaging with their outputs.
Computer Science and Data Science Lectures that equip students with the computational and analytical skills required to design, build, and evaluate NLP systems. Topics include machine learning (including deep learning), software engineering, and data processing
Admission Requirements
Certified B2 in French and English
2 Years
Sep
Tuition fees
Domestic
353 EUR
International
353 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master in Linguistics – Computational Linguistics
Université Paris Cité headquarters, Paris, France
24 monthsProgramme duration
353 EURTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Linguistics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The programme is organised around three core types of lectures:
Programme overview
Main Subject
Linguistics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The programme is organised around three core types of lectures:
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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