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postgraduate

Degree

Master of Data Science (Taught)

postgraduate

Degree

Master of Data Science (Taught)

Quick facts

  • Annual tuition (2023)

    $48,622 NZD

  • Application fee

    Free

  • Duration

    18 months

  • PSW

    3 years

  • Min GPA

    65 out of 100

Deadlines

Term start& deadline Deadline
Fall-February 08-December-2023 2023-12-08
Winter-July 04-July-2023 2023-07-04
Fall-February 08-December-2024 2024-12-08
Winter-July 04-July-2024 2024-07-04

Overview

Master of Data Science

The ability to turn data into information, knowledge and innovative products is a skill in high demand within the 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.

The University of Auckland also offers the Master of Data Science (MDataSci) as a 240-point taught master's as a March intake only. This suits students with a computer science or statistics background 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 master's.

Estimate your cost

Residency
Count of person

$63,702

Total costs

yearly

Details


Cost of living 1 person $9,804
Accommodation 1 bed room $15,080
Tuition 1 person $48,622

Hourly wage

Min wage

21.20 NZD / 1 hour

in New Zealand every student can work 20 hour per week

Required documents

  • Copy of birth certificate/passport
  • Transcript
  • Official programme completion certificate
  • Mark sheets
  • Relevant course outlines
  • English language proficiency

Language requirements

GRE
not required
GMAT
not required

IELTS

6.5
6
listening
6
writing
6
speaking
6
reading

TOEFL

90
-
listening
21
writing
-
speaking
-
reading

PTE

58
50
listening
50
writing
50
speaking
50
reading

Cambridge

176
169
listening
169
writing
169
speaking
169
reading
Language pathway (conditional offer) is available

English Language Academy pathway programs

You can meet postgraduate English language requirements by successfully completing:

  • The Foundation Certificate in English for Academic Purposes (FCertEAP), or
  • The English Pathway for Postgraduate Studies (EPPS).

The ELA grades shown below are deemed to be equivalent to the following IELTS bands for admissions purposes.

  • IELTS 7.0: A- in FCertEAP or EPPS
  • IELTS 6.5: B- in FCertEAP or EPPS

 

1-To be eligible for FCertEAP, students must: (Course length: 20 weeks)

  • Hold a conditional offer of place from a New Zealand tertiary institution that recognizes FCertEAP.
  • Meet the English Language entry requirements for FCertEAP through one of the below test results (see table).
  • IELTS Indicator can also be accepted during 2022 until further notice.

Minimum Entry Requirements:

 IELTS PTE-ATOEFL iBT
Postgraduate

Overall

Writing

Other bands

5.5

5.5

5.0

42

42

36

70

21

14

2-To be eligible for EPPS, students must: (Course length: 10 weeks)

  • Hold a conditional offer of place from the University of Auckland
  • Meet the IELTS score requirements below based on the score needed for your postgraduate program.
  • IELTS Indicator can also be accepted during 2022 until further notice.

Academic IELTS Score Required 

For Postgraduate Programmes 

7.0 with no band less 

than 6.5

6.5 with no band less 

than 6.0

EPPS IELTS Score Requirements

Overall

Writing

Other bands

6.5

6.5

6.0

6.0

6.0

5.5

PTE Academic Score Requirements

Overall

Writing

Other bands

58

58

50

50

50

42

TOEFL iBT Score Requirements

Overall

Writing

Other bands

90

24

18

80

21

16


Academic background and requirement

Taught 180 points:

You must have completed either:

  • A Bachelor of Science in Data Science from this University, with a Grade Point Average of 4.0 or higher in 75 points above Stage II. Or
  • A Bachelor of Science with a major in Computer Science and a major in Statistics from this University, with a Grade Point Average of 4.0 or higher in 75 points above Stage II.
  • Grade required GPE 4.0 (65-69%)

 

Research 120 points:

You must have completed a Bachelor of Science in a similar field with a GPA of 4.0 in 75 points at Stage lll or above. 

 

Career opportunities

  • Big data solutions architect
  • Business analyst
  • Data mining engineer
  • Data scientist
  • Digital product designer
  • Machine learning engineer

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