QS Rank:
65
The University of Auckland
Auckland
,New Zealand
Program Name
Masters in Data Science
Deadline
December 08th, 2023
Overview
View Official pageThe 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.
Duration
18 Months
Ranking
#123
US World and News Report
#137
The World University Rankings
#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
PTE
58
TOEFL
90
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 1 | Dec 8, 2023 |
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