MBA Master of Business Administration
The MBA program at the University of Sheffield offers a comprehensive curriculum design...
Western Bank
INTAKE: September
The MSc Cognitive and Computational Neuroscience at the University of Sheffield is an innovative postgraduate program that equips students with both the theoretical knowledge and practical expertise to understand complex brain functions. Students will explore how cognitive processes such as perception, learning, and memory are represented in the brain and how computational models can be used to simulate and understand these processes. The program is suitable for individuals with a background in neuroscience, psychology, computer science, or a related field, providing a comprehensive education in both neuroscience and computational modeling.
Curriculum: The curriculum of the MSc Cognitive and Computational Neuroscience is structured to give students a deep understanding of brain function, cognition, and the tools used in neuroscience research. Key modules include Brain and Cognition, Neuroimaging and Brain Mapping, Computational Neuroscience, and Cognitive Neuropsychology. These modules explore topics such as neural networks, brain connectivity, computational modeling of cognitive functions, and the interpretation of neuroimaging data. Students also undertake a substantial research project that allows them to apply their learning in a practical, hands-on context, often involving cutting-edge techniques in neuroimaging or computational modeling. The program also offers flexibility, with optional modules that allow students to specialize in areas of particular interest, such as artificial intelligence or computational neuroscience.
Research Focus: The MSc program has a strong research focus, with opportunities to engage in ongoing studies in cognitive neuroscience and computational modeling. Research within the program is centered on understanding how the brain supports cognitive functions and how computational models can simulate cognitive processes. The program draws on the expertise of the university’s renowned Neuroscience Institute and Cognitive Neuroscience Research Group, which are known for their research in areas such as neural networks, brain networks, neuroplasticity, and cognitive rehabilitation. Students are encouraged to participate in the university’s research activities and contribute to advancing the understanding of how cognitive processes are mapped in the brain.
Industry Engagement: The University of Sheffield offers strong links with both academic and industrial sectors, providing students with opportunities to engage with the latest advancements in cognitive neuroscience and computational techniques. Students can benefit from industry partnerships, particularly in the fields of neurotechnology, artificial intelligence, and healthcare. The program also offers opportunities for work placements, internships, and collaborative projects with industry leaders in neuroscience, healthcare, and technology. This practical engagement ensures that students gain real-world experience in applying computational and cognitive neuroscience techniques in a variety of settings.
Global Perspective: The MSc Cognitive and Computational Neuroscience program is designed with a global perspective, considering how cognitive neuroscience and computational models can be applied to address challenges faced by healthcare systems worldwide. Students will have the opportunity to explore global research trends and contribute to interdisciplinary projects that aim to improve cognitive health and neurotechnology. The University of Sheffield’s international research collaborations allow students to connect with leading neuroscientists and computational researchers from across the globe, providing a broad, global outlook on the field.
Western Bank
IELTS 6.5
£ 32350
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:
Postgraduate Taught Merit Scholarship: This scholarship is available to UK, EU, and international students who have a conditional or unconditional offer to study a full-time or part-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
International Merit Postgraduate Taught Scholarship: This scholarship is available to international students who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
Commonwealth Shared Scholarship Scheme: This scholarship is available to students from eligible developing Commonwealth countries who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship covers the full tuition fee, airfare to and from the UK, and a monthly stipend.
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.