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2020 Mtn Scholarship Scheme for Undergraduate and Postgraduate

The MTN Scholarship Scheme is an annual scholarship award that seeks to recognize and reward qualified high performing students. It is made up of the MTN Science and Technology Scholarship Scheme (MTN STSS) and the MTN Scholarship Scheme for Blind Students (MTN SSBS). Both Scholarships under the Youth Empowerment Cause, are currently in their 9th and 7th phase respectively.

Under both scholarships, eligible 300 level students studying Science & Technology related courses and blind students studying in Public Tertiary Institutions (Universities, Polytechnics and Colleges of Education) across Nigeria are awarded scholarships worth N200,000.00 annually till graduation as long as they maintain the required grades.

Brief Description

maximum of 500 qualified and successful full-time Nigerian students taking science and technology courses receive a scholarship which covers tuition, book allowance and stipends.

The scholarship is renewed annually until graduation for existing winners, provided they have maintained a minimum CGPA of 3.5 or its equivalent (second class upper/upper credit), while new applications, when announced, are welcome from full-time students in their second year of study.

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Eligibility Status

The MTN Foundation scholarship award is available to full-time students in their 300 level. Only applications from students studying any of the following courses will be considered:

  • Accountancy/Accounting
  • Agric. Extension and Rural Development
  • Agricultural Science
  • Agronomy
  • Animal Breeding and Genetics
  • Animal Nutrition
  • Electrical Engineering
  • Electrical/Electronics Engineering
  • Electronics and Computer Technology
  • Electronics Engineering
  • Engineering Physics
  • Industrial Mathematics
  • Industrial Physics
  • Information Technology
  • Mathematics
  • Mechanical Engineering
  • Metallurgical and Materials Engineering
  • Petroleum and Gas Engineering
  • Physics Electronics
  • Geophysics
  • Physics/ Computational Modeling
  • Pure/ Applied Physics
  • Statistics
  • Statistics and Computer Science
  • System Engineering

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