MSc Cognitive and Computational Neuroscience

Western Bank

 

INTAKE: September

Program Overview

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.

  1. Interdisciplinary Approach: The program adopts an interdisciplinary approach, combining principles from cognitive neuroscience and computational neuroscience.

  2. Cutting-Edge Research: Students have the opportunity to engage in cutting-edge research projects, exploring the complexities of brain function and cognition.

  3. Expert Faculty: The program is taught by experienced and renowned faculty members who are experts in cognitive and computational neuroscience.

  4. Practical Training: Students receive hands-on training in neuroscience techniques, data analysis, and computational modeling.

Pollster Education

Location

Western Bank

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 29950

Postgraduate Entry Requirements:

  • Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60%-70% or equivalent.
  • English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
    • IELTS: A minimum overall score of 6.5 with no individual component below 6.
    • TOEFL: A minimum overall score of 88, with at least 19 in Listening, 20 in Reading, 22 in Speaking, and 19 in Writing.
    • PTE Academic: A minimum overall score of 61 with no individual score below 56.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

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:

  1. 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.
  2. 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.
  3. 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. 

  1. Neuroscientist: Graduates can work as neuroscientists, conducting research on brain function, cognition, and behavior.

  2. Data Analyst: With expertise in computational neuroscience, graduates may pursue careers as data analysts, analyzing and interpreting brain imaging data.

  3. Academic Career: Some graduates choose to become educators and researchers in neuroscience departments at universities.

  4. Healthcare and Rehabilitation: Graduates may work in healthcare settings, contributing to the development of neuroscience-based interventions for neurological conditions.

  5. Artificial Intelligence and Technology: Graduates with computational skills can explore careers in artificial intelligence and technology, applying neuroscience principles to improve machine learning algorithms.


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