Knowledge branch: Sciences

Field of study: Chemistry

Centre: Facultat de Química

Degree code: 2287

Participating Universities: Universitat Autònoma de Barcelona Universidad Autónoma de Madrid Universidad Complutense de Madrid Universitat de Barcelona Universidad de Cantabria Universidad de Extremadura Universidad de Murcia Universidad de Oviedo Universidad de Salamanca Universidad de Santiago de Compostela Universidad de Valladolid Universidad de Vigo Universidad de Zaragoza Universidad del País Vasco/Euskal Herriko Unibertsitatea Universitat Jaume I de Castelló Universitat de les Illes Balears Universitat de València (Estudi General)

Total credits of the degree: 60

Compulsory:33

Elective:12

Final project:15

Years: Information not available

Places available: 8

Teaching modality: Face to face

Language teaching: English

First enrolment credit fee:35.34€

First enrolment credit feefor non-EU and non-communicating students from abroad:70.68€

Academic Coordinating Committee: Ignacio Nilo Tuñón Gracía de Vicuña (Director)
Inmaculada García Cuesta
Begoña Milián Medina
Enrique Ortí Guillén
Daniel Roca Sanjuán
Amparo Pons Martínez (PTGAS)

Academic, scientific or professional interest: The overall aim of this proposal is to train a new generation of highly qualified students, capable of subsequently undertaking a PhD in the field of Theoretical and Computational Chemistry or working in companies that utilise molecular-level modelling in R&D&I centres. This general objective will be achieved by pursuing the following specific objectives: - Providing students interdisciplinary knowledge and a common qualification in subjects related to theory and simulation in chemistry and their application to various fields, particularly those which are currently gaining in importance and which can contribute to the well-being and development of society, such as: materials science, drug design, biochemistry and molecular biology, theoretical spectroscopy and astrochemistry, environmental chemistry, and the study of chemical reaction mechanisms. -Providing training in the common foundations and techniques across all the fields of application mentioned above. This involves providing in-depth training in the theoretical foundations of quantum mechanics (QM) and statistical mechanics (SM); a sound understanding of the approximations required to apply the equations of QM to simple molecular systems and to the treatment of large systems; and programming techniques that equip students with the ability to develop programmes adapted to new computational infrastructures, such as supercomputing facilities.