Master of Data Science

... New Zealand
... University of Auckland

Course Overview

The ability to turn data into information, knowledge and innovative products is a skill in high demand within industry. By completing a strong core of Computer Science and Statistics courses, you will gain a unique combination of skills in Data Science and be able to comprehend, process and manage data effectively to extract value from it. Graduates will be critical, reflective practitioners able to pursue professional goals and further postgraduate study.

We also offer the Master of Data Science (MDataSci) as a 240-point taught masters as a March intake only. This is suitable for students who have a background in either Computer Science or Statistics, but not both. Students who have majored in Data Science, or a combination of computer science and Statistics, should apply for the 180-point taught masters.

General Eligibility

Study option

Taught 180/240 points

Grade required

GPA 4

Part Time Work Details

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Language Requirement

  • The IELTS score for international applicants is 6.5 (with no less than 6 in each component).

Programme Information
...
Course Category

Science


...
Campus Name

City Campus


...
Course Level

Postgraduate


...
Duration

Full-Time, Varies, Part-time, Varies


...
Available Intake

February, July


...
IELTS Score

6.5


...
Tuition Fees Range

9996,

48622, (INT)


Subject Recommendations for You
MRes Arts and Humanities
Queen's University Belfast -INTO
Campus

Belfast, Northern Ireland

Entry Score

6.5

Course Level

Postgraduate

Total Course Fee

19100

Campus

Bradford, West Yorkshire, England

Entry Score

6.0

Course Level

Postgraduate

Total Course Fee

23028

Campus

Middle Sex

Entry Score

6.5

Course Level

Postgraduate

Total Course Fee

£2,800, £2,800

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