Complex and Data Driven Chemistry (study track)
Recognition
Programme structure
1st Year: Machine Learning for Chemistry; Coding for Chemistry; Characterization of complex chemical systems; Analysis of Complex Chemical Systems; Catalysis; Multiscale Chemical Modeling; Chemometrics; Organic Synthesis Design; Systems Chemistry.
2nd Year: Business Management; Research Project; Final Thesis.
Career opportunities
Graduates can be employed within the fields of development of innovative catalysts and materials, design of complex synthetic strategies, analysis of complex systems (omics, environment, food, etc.), formulation development and process optimization, development of complex chemical and biochemical systems, development of "chemical prediction" systems (drug design, structural biochemistry).
Call for applications - A.Y. 2027/28
- Call One: 15 September 2026 - 15 November 2026
- Call Two: 1 December 2026 - 1 March 2027
- Call Three: 1 April 2027 - 1 June 2027 (only for EU students and non-EU students residing in Italy)
APPLICATION PLATFORM
The Master's degree programme introduces the fundamental concepts of "data-driven chemistry": statistical learning, chemometrics, and design of experiments. These concepts will be contextualized within the broader context of a Master's degree programme in Chemistry. The fundamental areas where data-driven approaches are most applicable includes the collection of chemical data, the synthesis and design of materials and catalysts, the design of synthetic strategies, and the modeling and study of complex chemical systems.
