Duration
Full-time: Varies
Part-time: Varies
Next start date
2025 Semester One – 3 March
2025 Semester Two – 21 July
Available locations
City
Points
180 or 240
Programme type
Postgraduate
Taught options available

Programme 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. 

 

Programme structure

180-point taught masters

60 points:

At least 15 points from:

At least 15 points from:

Up to 45 points from:

45 points:

240-point taught masters

The intake for the 240-point taught masters is in March only.

60 points from:

60 points:

At least 15 points from:

At least 15 points from:

Up to 45 points from:

45 points:

Postgraduate pathway

Download the Science postgraduate pathway (117KB, PDF)

You'll also need to meet other requirements, including time limits and total points limits. See Postgraduate enrolment.

For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

2024 entry requirements

My highest qualification is from:

Programme requirements

Minimum programme requirements

Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.

  • Study option
    Taught 180 points
    Grade required
    GPA Grade Point Average 4.0

    Bachelor of Science in Data Science or a Bachelor of Science with a major in Computer Science and a major in Statistics

  • Study option
    Taught 240 points
    Grade required
    GPA Grade Point Average 4.0

    Bachelor of Science

Further programme requirements

Select your study option:

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.

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. 

Programme requirements

Minimum programme requirements

Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.

  • Study option
    Taught 180 points
    Grade required
    GPE Grade Point Equivalent 4.0

    An undergraduate science degree

  • Study option
    Taught 240 points
    Grade required
    GPE Grade Point Equivalent 4.0

    An undergraduate Science degree

  • Qualification
    IELTS Academic International English Language Testing System
    Score required
    6.5

Further programme requirements

  • You must have completed an undergraduate science degree at a recognised university (or similar institution) in a relevant discipline with a Grade Point Equivalent of 4.0.
  • Relevant disciplines include data science, or a mixture of computer science and statistics. A minimum amount of study in a relevant discipline is required - this would be at least a major, field of study, or approximately 30 percent of your degree, including a mix of introductory and advanced courses.
For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

How much does a Master of Data Science cost per year?

2025 fees

Domestic students
NZ$10,892.40*
International students
NZ$50,564 – $50,810*

Fees are set in advance of each calendar year and will be updated on this website. Fees are inclusive of 15% GST, but do not include the Student Services Fee, course books, travel and health insurance, or living costs. Amounts shown are indicative only. In addition to the tuition fees, there is a Student Services Fee of $8.88 per point, estimated at $1,065.60 for full-time study (120 points). Fees will be confirmed upon completion of enrolment into courses.

*Please note: amounts shown are indicative and estimates only.

Find out about financial support information

Scholarships and awards

Find out about the scholarships you may be eligible for.

Student loans and allowances

Are you a New Zealand citizen or resident? You could be eligible for a student loan or allowance.

Cost of living

Get an idea of how much accommodation and general living in Auckland will cost.

For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

Key dates

Please note: We will consider late applications if places are still available. International students should start the application process as early as possible to allow sufficient time to apply for a visa.

Application closing dates

Semester One 2024
8 December 2023
Semester Two 2024
4 July 2024
For all official programme information, including regulations about entry, enrolment, fees, examinations, and requirements for degrees, diplomas and certificates, see the University Calendar.

Where could this programme take you?

With the current demand for continued professional development in this area, this advanced qualification will help you to develop your data science skills to become well-positioned to pursue employment in the data science industry.

Jobs related to this programme

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

Read what Nishita has to say about studying Data Science at the University of Auckland.

Read more

Student career planning service

Once you become a student at the University, you can get help with planning and developing your career from Career Development and Employability Services.

Quick guides to postgraduate Data Science for international students

International guides for Chinese students

International guides for Indian students

Experience the University

Sebastian Link

Meet the programme director

Learn more about the MDataSci programme from Professor Sebastian Link at the School of Computer Science.

Do you need help?

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923 5025
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0800 61 62 63
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+64 9 373 7513