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.