NIDA Full PhD international awards in Computer Science and Information Systems in Thailand

Application Deadline: March 31, 2020

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Brief Description

  • University or Organization: National Institute of Development Administration (NIDA)
  • Department: Graduate School of Applied Statistics (GSAS)
  • Course Level: PhD
  • Award: Full Scholarship
  • Access Mode: Online
  • Number of Awards: Varies
  • Nationality: Thai and International
  • The prize can receive in Bangkok city of Thailand

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Eligibility

  • Eligible Countries: Applications are open for Thailand as well as all nationalities around the world
  • Acceptable Course or Subjects: The studentship is available for Doctor of Philosophy Program in Computer Science and Information Systems (International Program)
  • Admissible Criteria: Thai and International graduate students with superior qualifications who are absorbed in advancing their awareness in computer science and information systems are called to apply.
  • Students must have a good command of English,
  • Applicants should be graduated from the institutes both domestic and abroad, which have been accredited by the Commission on Higher Education (CHE)

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How to Apply

  • To Apply: Applicants must download an application form and reference form. Reference report mail to – Head of Department of Computer Science and Information Systems, School of Applied Statistics, NIDA 118 Seri Thai Road, Bangkapi, Bangkok 10240, Thailand.
  • Supporting Documents: Applicants must submit a transcript, academic certificates, personal statements, and other required documents as mentioned on the application form or NIDA require.
  • Admission Requirements: Applicants must have a Master Degree in Computer Science, Information Technology, Information Systems or related fields
  • Language Requirement: All students need appropriate English language skills for PhD study in NIDA, Thailand.

Benefits: A limited number of full awards are available. The grant includes the waiver of tuition fee plus a stipend for three (3) years of study.

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