Large Language Models, Graphs and Applications Master's Specialization
A two-year Master's specialization focusing on generative AI, large language models, and graph-structured data.
Best for:Best for students with a strong background in mathematics and computer science seeking advanced expertise in generative AI and graph-based machine learning.
Overview
The Large Language Models, Graphs and Applications (LLGA) Master's specialization at Ecole Polytechnique is a two-year, fully English-taught program designed to prepare students for careers in artificial intelligence and data science. The curriculum combines robust theoretical foundations in machine learning with hands-on industry experience focusing on generative AI, large language models (LLMs), and graph neural networks. Students engage in practical projects and case studies addressing complex data structures across industries such as healthcare, finance, and logistics. Graduates emerge equipped to lead innovations in AI and data science or pursue further doctoral studies.
What you'll do
- Complete coursework covering theoretical and practical aspects of machine learning, deep learning, and generative AI
- Build expertise in large language models and graph-structured data applications
- Participate in hands-on projects, case studies, and industry-oriented applications
- Analyze complex data structures for sectors such as healthcare, finance, and logistics
- Collaborate with peers on multimodal generative AI tasks and model implementations
Requirements
Degree required: Bachelor's degree in Mathematics, Computer Science, or a related field with equivalent knowledge domains
Degree offered: Master's Degree
Language: English; fully taught in English
Instruction: English
- Proficiency in Python programming
- Knowledge of linear algebra and statistics
- Understanding of algorithms and data structures
- Background in mathematics and computer science
- Applicants must hold a suitable background in mathematics and computer science, or a Bachelor's degree covering the required knowledge domains
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-01-11
Candidates must submit their application through the official Ecole Polytechnique admissions portal by the specified deadline. Ensure all academic transcripts and prerequisite details regarding mathematics and computer science are included with the submission.
- CV
- Bachelor's transcripts
- Academic records
Contact
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