Master in Linguistics – Computational Linguistics
24 monthsProgramme duration
353 EURTuition Fee/year
SepStarting Month
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:
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:
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
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