Awards are another resource to help students afford the degree. So for helping students, the UCL Queen Square Institute of Neurology is offering the International Excellence Scholarships.

This University College London International Excellence Scholarship application is open to all international students who wish to pursue an undergraduate or master’s degree for the academic year 2022-2023.

The UCL Queen Square Institute of Neurology is an institute within the Faculty of Brain Sciences of University College London (UCL) and is located in London, United Kingdom. It has a staff of around 710 and 500 graduate students, an annual turnover of £81million and occupies around 12,000 sq m of laboratory and office space.

The University College London will grant four scholarships with £6000 each for overseas fee-paying students.

• Eligible Countries: All nationalities are eligible for this University College London International Excellence Scholarship.
• Eligible Course or Subjects: The scholarships are only available to students who have applied to study one of the eligible degree programmes (all QSIoN programmes except MSc/Dip/Cert in Clinical Neurology).
• Eligibility Criteria: To consider your candidacy for this programme, applicants must fulfill all the requirements:
• Applicants must be international
• Applicants must be enrolling in one of the study programmes given above.

• How to Apply: If you want to be considered for this funding scheme, then you must apply for an approved study programme at the university and complete an application form.
• Supporting Documents: Candidates are recommended to submit the following documents: Pre-qualification degree, copies of academic transcripts, certificates of English language proficiency, a statement, and a copy of passport.
• Admission Requirements: Admission requirements vary from one course to another.
• Language Requirement: The candidates also must meet the UCL Standard English language proficiency requirements (e.g. IELTS 6.5 or above overall and a minimum of 6.0 in each subset)