Differences

This shows you the differences between two versions of the page.

--- start [2025/10/29 14:50] – [Curriculum Description] director-llga
+++ start [2025/11/21 12:11] (current) – [Industrial & Institutional Partnership / Cercle des partenaires] director-llga
@@ Line 38: / Line 38: @@
 Students are required to have a suitable background in mathematics and computer science. In practice, this means knowledge of linear algebra, statistics, as well as Python programming, algorithms and data structures. Some exposure to natural language processing and graph theory is desirable, but not required. Candidates with Bachelor degrees that are not in Mathematics or Computer Science are also admissible if the required knowledge domains are covered in their degree programs.
-==== Industrial & Institutional Partnership / Cercle des partenaires ====
+==== Professional and Industrial Placement / Placement Professionnel et Industriel des titulaires du MScT ====
-Students will have highly suitable profiles for data science or AI roles in industry. While the LLM aspect of the program allows students to apply to companies in most digital companies, the graphs and applications aspect of the program prepares the students particularly well for roles in the pharma, logistics and communication industries.  Graduates of the LLGA Master’s Program are prepared for careers as AI/ML Engineers, Data Scientists, NLP Specialists, Graph AI Experts, and AI Research Scientists, as well as strategic roles such as AI Product Managers, Solution Architect.  Opportunities span industries including tech, healthcare, finance, consulting, social media, e-commerce, and public institutions.
+Students will have highly suitable profiles for data science or AI roles in industry. While the LLM aspect of the program allows students to apply to companies in most digital companies, the graphs and applications aspect of the program prepares the students particularly well for roles in the pharma, logistics and communication industries.  Graduates of the LLGA Master’s Program are prepared for careers as AI/ML Engineers, Data Scientists, NLP Specialists, Prompt Engineers, Graph AI Experts, and AI Research Scientists, as well as strategic roles such as, Chief AI officers,  AI Product Managers, Solution Architect.  Opportunities span industries including tech, healthcare, finance, consulting, social media, e-commerce, and public institutions.