K1: Acquires personal knowledge and skills within and outside his or her professional field that enriches his or her own personal growth as an individual and citizen, and acquires the ability to transmit these appropriately.
K2: Understands and applies the most appropriate mathematical, statistical and computational tools within Neuroscience, appropriately using spreadsheets for data management, and appropriate graphical representations for data presentation.
S1: Uses a variety of techniques to find, manage, integrate and critically evaluate available information for the development of professional activities in Neuroscience, especially in the digital sphere
S2: Carries out their work or vocation in a professional manner, and possess appropriate competencies as demonstrated through the development and defence of arguments, and problem-solving within their field of study.
S3: Prepares reports to effectively communicate project knowledge, objectives and results to specialised and non-specialised audiences
S4: Uses their ability to analyse and synthesise, as well as to apply the principles of the scientific method in the work environment, in order to provide innovative responses to the needs and demands of society in their area.
S5: Appropriately uses the scientific and technical vocabulary of the different subfields within Neuroscience.
S6: Has an understanding of the biological bases of pathologies of the nervous system, as well as the biological and socio-economic effects these pathologies have on the lives of people who suffer from them.
S7: Comprehends the computational and experimental tools used for analysis and quantification of neuroscience data, and can appropriately apply these tools to significant problems in neuroscience.
S8: Has the professional and interpersonal skills necessary to successfully navigate the working conditions that exist in their chosen subarea(s) of neuroscience, and is able to successfully use informational and communication tools and techniques for training and professional activities.
S9: Demonstrates creative and entrepreneurial skills, including adapting to new situations, assimilating new knowledge and taking on new challenges.
C1: Apply knowledge about the biological basis of Central Nervous System (CNS) disorders and their effects to the development of improved diagnostics and treatments.
C2: Apply knowledge about the organisation, structure and function of the Central Nervous System (CNS) to contribute to the evolution and improvement of technologies and systems for computing, data handling and analysis.
C3: Apply knowledge about technologies for the study of the Nervous System and the brain (Medical Imaging, brain-machine interfaces) to develop new systems for diagnosis and treatment, as well as and other applications within Neuroscience (Artificial Intelligence, Robotics) with the aims of improving the quality of life and furthering social progress.
C4: Uses advanced mathematical, statistical and computational tools to increase and improve knowledge in neuroscience and its applications.
C5: Apply your neuroscience knowledge in a unifying and integrated fashion as part of a multidisciplinary team (pharmaceutical sector, health industry, diagnostic techniques, health information technologies, government agencies and regulatory bodies.
C6: Apply the results of your comprehensive training to your everyday professional activities, combining Neuroscience knowledge with a solid foundation of ethical responsibility and respect for fundamental rights, diversity and democratic values.
C7: Apply the scientific and technical principles you acquired during your undergraduate training, together with your own natural learning capabilities, to better adapt to novel opportunities arising from scientific and technological development.