MBA Master of Business Administration
The University of Sheffield offers an MBA program that provides a comprehensive underst...
Western Bank
INTAKE: September
The MSc Cognitive and Computational Neuroscience program offered by the University of Sheffield is a specialized and interdisciplinary course designed to provide students with advanced knowledge and research skills in the fields of cognitive neuroscience and computational neuroscience. This program covers a wide range of topics, from understanding the neural basis of cognition to applying computational techniques to study brain function.
Interdisciplinary Approach: The program adopts an interdisciplinary approach, combining principles from cognitive neuroscience and computational neuroscience.
Cutting-Edge Research: Students have the opportunity to engage in cutting-edge research projects, exploring the complexities of brain function and cognition.
Expert Faculty: The program is taught by experienced and renowned faculty members who are experts in cognitive and computational neuroscience.
Practical Training: Students receive hands-on training in neuroscience techniques, data analysis, and computational modeling.
Western Bank
IELTS 6.5
£ 29950
Postgraduate Entry Requirements:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Postgraduate students may be eligible for the following scholarships:
Graduates of the MSc Cognitive and Computational Neuroscience program find themselves well-prepared for diverse and rewarding careers in research, academia, healthcare, and technology.
Neuroscientist: Graduates can work as neuroscientists, conducting research on brain function, cognition, and behavior.
Data Analyst: With expertise in computational neuroscience, graduates may pursue careers as data analysts, analyzing and interpreting brain imaging data.
Academic Career: Some graduates choose to become educators and researchers in neuroscience departments at universities.
Healthcare and Rehabilitation: Graduates may work in healthcare settings, contributing to the development of neuroscience-based interventions for neurological conditions.
Artificial Intelligence and Technology: Graduates with computational skills can explore careers in artificial intelligence and technology, applying neuroscience principles to improve machine learning algorithms.