Program Overview
The MSc in Systems Neuroscience at the University of Sheffield provides in-depth training in neuroscience principles and techniques, such as research methods, data analysis, and computational modeling. Emphasizing a systems approach, the program investigates brain function at multiple scales, focusing on neural networks and sensorimotor control. Graduates are equipped with skills for careers in research, data analysis, and deep learning, as well as for PhD studies in neuroscience and related fields.
Program Outline
Degree Overview:
The MSc in Systems Neuroscience is a 12-month program designed to provide in-depth training in the core problems of systems neuroscience. It aims to develop students' understanding of the disciplines and techniques used to address these problems, such as research methods in cognitive neuroscience, data visualization, computational modeling, and neuroimaging methods.
Outline:
The program is structured as follows:
- Core Modules:
- Fundamentals of Cognition: This module provides an overview of fundamental issues in cognitive neuroscience and its contributory disciplines, covering topics like memory, attention, learning, and language.
- Fundamentals of Neuroscience: This module introduces core aspects of contemporary neuroscience, covering neural signaling, sensation and sensory processing, movement control, brain development, and complex brain functions.
- Research Methods in Cognitive Neuroscience: This module introduces state-of-the-art methods used in cognitive neuroscience research, such as EEG, eye-tracking, and tDCS. Students gain hands-on experience with cognitive neuroscience equipment and learn to critically evaluate published research and design new studies.
- Data Analysis and Visualization: This module provides basic skills in computational data analysis, focusing on the programming language R and associated scientific software. Students learn to import/export data sets, process and transform them, and visualize results.
- Systems Neuroscience: This module provides an advanced understanding of the brain's major computational systems and theoretical or model-driven approaches to research.
- Research Project in Cognitive Neuroscience: This module allows students to work on an extended research project within computational neuroscience, cognitive neuroscience, systems neuroscience, or analysis of brain imaging data. Students learn and apply appropriate research techniques, analyze and interpret results, and write up their findings. The project culminates in an oral presentation and a written dissertation. Students gain hands-on experience analyzing and processing data sets from these techniques.
- Neurocognitive Modelling: This module focuses on inferring and modeling neural and cognitive processes underlying human behavior using computational means, covering normative models and cognitive models. Students learn about the physical principles underlying fMRI, methods for mapping brain structure and function, and data analysis using the software SPM.
Assessment:
Students are assessed through a combination of formal examinations, coursework, and a dissertation. Coursework may include essays, poster presentations, coding assignments, and a dissertation. Regular feedback is provided throughout the course.
Teaching:
Teaching methods include hands-on laboratory sessions, problem-solving classes, lectures, seminars, and individual projects. Students have access to state-of-the-art research facilities and work alongside PhD students and experienced postdoctoral researchers.
Careers:
The MSc in Systems Neuroscience equips graduates with valuable skills and knowledge for careers in:
- Research: Understanding major diseases like stroke, Alzheimer's, Parkinson's, and epilepsy within academia or governmental organizations.
- Data Analysis and Visualization: Roles within hospitals, healthcare providers, or the pharmaceutical industry.
- Deep Learning, Machine Learning, and Artificial Intelligence: Roles in these fields. The program also prepares graduates for PhD studies in neuroscience, artificial intelligence, brain interfaces, or clinical training.
Other:
The University of Sheffield is home to the Neuroscience Institute, which brings together internationally recognized expertise in medicine, science, and engineering to improve the lives of patients and families affected by neurological, sensory, and developmental disorders. The program is interdisciplinary and welcomes students from a variety of backgrounds, including biology, engineering, physics, mathematics, psychology, and medicine.
Overseas (2024 annual fee) : £32,350
University of Sheffield
Overview:
The University of Sheffield is a renowned public research university located in Sheffield, England. It is a member of the prestigious Russell Group of leading research-intensive universities in the UK. The university is known for its high-quality teaching, world-class research, and vibrant student life.
Services Offered:
The University of Sheffield offers a wide range of services to its students, including:
Academic Support:
Access to libraries, study spaces, and academic advisors.Career Services:
Guidance on career planning, job searching, and internships.Student Support:
Mental health services, disability support, and financial aid.Accommodation:
On-campus residences and off-campus housing options.Student Life:
A diverse range of clubs, societies, sports teams, and social events.Student Life and Campus Experience:
Students at the University of Sheffield can expect a vibrant and engaging campus experience. The university boasts a strong Students' Union, which is ranked as the best in the UK. Students have access to a wide range of clubs, societies, and sports teams, catering to diverse interests. The city of Sheffield itself offers a lively cultural scene, with numerous museums, theaters, and music venues.
Key Reasons to Study There:
Academic Excellence:
The university consistently ranks highly in national and international rankings, demonstrating its commitment to academic excellence.World-Class Research:
The University of Sheffield is a leading research institution, with a strong reputation for innovation and impact.Vibrant Student Life:
The university offers a rich and diverse student experience, with a strong Students' Union and a wide range of clubs, societies, and sports teams.Supportive Environment:
The university provides a supportive and inclusive environment for all students, with a range of services and resources available to help them succeed.Academic Programs:
The University of Sheffield offers a wide range of undergraduate and postgraduate programs across various disciplines, including:
Arts and Humanities:
English Literature, History, Philosophy, Music, and more.Science and Engineering:
Medicine, Dentistry, Physics, Chemistry, Computer Science, and more.Social Sciences:
Economics, Politics, Sociology, Psychology, and more.Business and Management:
Accounting, Finance, Marketing, and more.Other:
Entry Requirements:
- Minimum 2:1 undergraduate honours degree in either a life science (including psychology) or a mathematical/physical science (including engineering).
- Medical students who wish to intercalate their studies are also accepted.
- International qualifications are considered.
Language Proficiency Requirements:
- Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.