Study location	Italy, Padua
Type	Master's degree, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Awards	(Master's degree in Complex and Data Driven Chemistry)
Course code	SC1169/003PD/2018

Tuition fee	€2,739 per year For further information please visit: www.unipd.it/en/tuition-fees
Application fee	€30 one-time This fee is non-refundable.
Deposit	€204 one-time In order to accept your place at the University of Padua, the payment of the admission fee is required. This fee is non-refundable.

Entry qualification

Bachelor diploma (or equivalent) A minimum three-year undergraduate degree (or equivalent) in Chemistry, Chemical science and technologies or related subjects, or proven skills in Analytical, Physical, General, Organic and Inorganic Chemistry. Check the syllabus of entry requirements Additional entry requirements – Entry title and GPA Please verify country-based specific entry title and GPA requirements at the following link. The entry qualification documents are accepted in the following languages: English / Italian. You can often get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents with you when you finally go to the university. If you are admitted to the degree course, you will have to submit other documents including original and translated/legalised copies of your previous qualifications, etc. No legalised documents are required at application stage.

Language requirements	English B2 Level (CEFR) or equivalent Please check out this link for the full list of accepted certificates, minimum scores and exemptions

More information	unipd.it/en/complex-data-driven-chemistry  chimica.unipd.it/..a-driven-chemistry-2024

Overview

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.

Programme structure

1st Year: Statistical Learning for Chemistry (with coding lab); Characterization of complex chemical systems; Analysis of Complex Chemical Systems; Catalysis; Multiscale Chemical Modeling; Chemometrics; Organic Synthesis Design; Systems Chemistry.

2nd Year: Applied Chemistry; Research Internship Project; Final Master Research Project.

Check the full detailed study programme

The programme is a study track – held completely in English – of the Master’s degree programme in Chimica

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).