Master Chimie — Formulation et data mining

At CY Cergy Paris Université, tuition costs 292 USD per year.

Formulation et Data Mining, a track within the Master Chimie at CY Cergy Paris Université in Neuville-sur-Oise, France, combines the chemistry of formulated products with data analysis methods used to study and optimize them. Formulation chemistry examines how mixtures such as cosmetics, coatings, detergents, or pharmaceuticals are designed and stabilized, while the data mining component introduces computational and statistical tools used to analyze the large datasets generated during formulation development and testing. Students in this specialization typically study physical and colloid chemistry, product formulation principles, statistical methods and data analysis techniques, and the use of computational tools to model and optimize chemical formulations. Graduates trained in this area commonly move into roles within the cosmetics, consumer products, or specialty chemicals industries, working on product development, formulation optimization, or quality control, as well as positions that apply data analysis skills to chemical research and development. The data mining component of the training also opens paths into roles that bridge chemistry and data science, such as research and development analyst positions where large formulation datasets need to be interpreted and used to guide product design. This master's program is taught in French, runs over two years, and begins in September, with a yearly tuition of 250 EUR. Because the track pairs traditional chemistry training with quantitative data skills, students entering this specialization generally combine a solid chemistry background with interest in statistics and computational methods, since the program is designed for those who want to work on the practical development of formulated products informed by data-driven analysis.