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QS Rank:

verified

65

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The University of Auckland

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Auckland

New Zealand

The Master of Data Science is a top-tier program that provides in-depth training in Data Science and Data Analytics. The MS in Data Science and Data Analytics from The University of Auckland is consistently ranked among the world's best universities. International students choose this program at The University of Auckland because of its high graduate employment rate. The University of Auckland provides exceptional educational quality, cutting-edge practical training, and numerous job opportunities for its international students. After receiving their MS in Data Science and Data Analytics from The University of Auckland, students will be prepared to conduct extensive research in the field. The interactive curriculum, extensive research opportunities, and outstanding teaching faculty at The University of Auckland provide students with a life-changing learning experience. A Master of Science degree can help students become creative and independent researchers. Overall, an MS in Data Science and Data Analytics from The University of Auckland is a good choice for students who want to study the field in depth. Here are some reasons to study Data Science at The University of Auckland: * It is a popular choice for international students with a diverse population. * You can learn from the best faculty members and become their research assistants. * There are state-of-the-art labs to support your research. * There are excellent job placement programs after you finish your course.
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Duration

18 Months

Ranking

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#123

US World and News Report

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#137

The World University Rankings

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#65

QS World University Rankings

Class Profile

Diversity

North America:

1%

Others:

5%

New Zealand:

73%

Asia:

13%

Europe:

6%

Oceania:

2%

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    58

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  • TOEFL

    90

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

      Application Deadlines

      Standard Deadline
      Term 1Dec 8, 2023

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