Auckland University of Technology Fully Funded PhD Award in New Zealand.
Building a brilliant future in a PhD field could be exceptionally helpful; would you like? At that point come and make a brilliant future by joining Marsden PhD grant in Statistics program offered by Auckland University of Technology.
This supported training system has International joint effort with analysts at Deakin University in Australia and Nottingham Trent University in the UK and accessible for global understudies with high potential to make their progress in a PhD field.
AUT is a contemporary New Zealand college concentrated on giving excellent understudy openings and learning encounters, and graduate accomplishment in a setting animated by significant research and industry network.
Established in 2000, Auckland University of Technology has five resources crosswise over three grounds in Auckland. The college offers numerous degree level courses for nearby and worldwide understudies.
Why at Auckland University of Technology? At AUT, Students will get the chance to learn under the grounds of the college with an extraordinary learning knowledge and worldwide employability during their investigations. Staff of this college gives total help to their understudies in achieving their profession objectives.
Auckland University of Technology Fully Funded PhD Award in New Zealand Eligibility
- Eligible Countries: Domestic students of New Zealand and International students are eligible.
- Acceptable Course or Subjects: Students can take part in a PhD degree program at the university.
- Admissible Criteria: Students must not already hold any other award from the university and fulfill all conditions for admission to the Doctoral Program in AUT.
How to Apply
- How to Apply: Participants must have to take admission in a PhD degree course at the university and then apply for the grant through the online application portal. International students are advised to contact [email protected] for detailing about taking admission in this program.
- Supporting Documents: A curriculum vitae, a brief outline describing research skills and experience, academic transcripts and certificates of the previous study and two academic referee statements should be submitted.
- Admission Requirements: An aspirant must have a Masters or Honors qualification in analytics or statistics, with first class Honors or equivalent.
- Language Requirement: Candidates are required to take TOEFL or IELTS test for showing their English language ability.
