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Cognitive and Computational Neuroscience MSc

University of Sheffield

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University of Sheffield

Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Sheffield

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    1 year

Course summary

Gain in-depth training in core aspects of contemporary neuroscience, from sensation and sensory processing to understanding complex brain functions and artificial intelligence. You'll work on a research project in cognitive neuroscience with a world-leading expert from the Department of Psychology and be prepared for a career in research, healthcare, industry or study to PhD level.

Course description

This 12-month course will give you in-depth training in core aspects of contemporary neuroscience, from sensation and sensory processing, to understanding complex brain functions and artificial intelligence. You'll be prepared for an exciting career in research, healthcare, industry, or further study to PhD level.

Throughout your course, our neuroscientists will introduce you to the core problems in computational and cognitive neuroscience, adaptive behaviour, and artificial neural networks.

We will teach you the core techniques in experimental cognitive psychology, including computational modelling, data analysis, and cutting-edge neuroimaging, and give you opportunities to apply these techniques.

Over six months, you will work on your research project in cognitive neuroscience with one of our world-leading experts in the Department of Psychology. Your research topic could range from basic to theoretical neuroscience. You may have the opportunity to collect and analyse real-life cognitive brain science data, using state-of-the-art equipment, before presenting your findings at our summer postgraduate students' conference.

This project gives you the opportunity to put your new techniques in experimental neuroscience into practice, while exploring ideas at the cutting-edge of cognitive neuroscience. It is common for MSc research projects to form the basis of publications in peer-reviewed journals.

If you have a passion for understanding the brain and behaviour, whether your background stems from biology, engineering, physics, mathematics, psychology or medicine, this interdisciplinary course has been designed to ensure that you'll gain in-depth knowledge of the fundamentals of neuroscience and research methods in cognitive neuroscience, ready for an exciting career in research or industry.

The University is home to the Neuroscience Institute which brings together internationally-recognised expertise in medicine, science and engineering to improve the lives of patients and families affected by neurological, sensory and developmental disorders.

Application deadline

06 September 2024

Tuition fees

Students living in United States
(International fees)

£ 32,350per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Sheffield

University of Sheffield

  • University League Table

    18th

  • Campus address

    University of Sheffield, Western Bank, Sheffield, Sheffield, S10 2TN, England

VIEW PROFILE
Pathway programmes are available to help students with English as a second language and different educational backgrounds prepare for their academic career.
With nearly 11,000 international students, Sheffield is a diverse, welcoming city that's celebrated for its safety and strong sense of community and culture.
The university offers a range of scholarships for high-achieving international students who demonstrate excellent academic potential.

Subject rankings

  • Subject ranking

    Biological Sciences

    24th out of 94 1

    18th out of 118 4

  • Entry standards

    / Max 228
    156 69%

    26th

  • Graduate prospects

    / Max 100
    76.0 76%

    45th

    12

  • Student satisfaction

    / Max 4
    3.15 79%

    27th

    14

  • Entry standards

    / Max 213
    150 70%

    36th

  • Graduate prospects

    / Max 100
    71.0 71%

    27th

    7

  • Student satisfaction

    / Max 4
    3.07 77%

    53rd

    54

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