MScT TRAI

Programme of the Master of Science and Technology (MScT) of Ecole Polytechnique

Link to the official page on the Ecole Polytechnique website.

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.

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.

The program includes an M1 as well as an M2 internship of several months each. There will furthermore be regular interaction with professionals in industry in academia in the weekly M2 seminar series on “ethical issues, law and novel applications of AI”. In addition, many of the taught courses in the MScT program have project-based assessments. The students will therefore graduate from this program with ample practical experience and a profound insight into the different real-world applications of their academic knowledge. We also expect important exchanges with the generative AI industry in terms of focused internships, invited keynotes and meetups. We expect that the placement of our graduates in the relevant industry will be natural and swift.

Since the program teaches cutting-edge methodology in a relevant field of research, pursuing a PhD after this program is perfectly possible.

The academic co-directors of the MScT are:

• Johannes Lutzeyer, Computer Science, Ecole Polytechnique johannes.lutzeyer@polytechnique.edu
• Aymeric Dieuleveut, Applied Mathematics, Ecole Polytechnique aymeric.dieuleveut@polytechnique.edu
• Michalis Vazirgiannis, Computer Science, Ecole Polytechnique michalis.vazirgiannis@polytechnique.edu
• Ye Zhu, Computer Science, Ecole Polytechnique ye.zhu.lix@polytechnique.edu
• Rémi Flamary, Applied Mathematics, Ecole Polytechnique remi.flamary@polytechnique.edu
• Luiz Chamon, Applied Mathematics, Ecole Polytechnique luiz.chamon@polytechnique.edu

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