Duration
Full-time: 18 months
Part-time: Varies
Next start date
2019 Semester One – 4 March
2019 Semester Two – 22 July
Available locations
City
Points
180
Programme type
Postgraduate
Taught options available

Programme overview

Turning data into information, knowledge and innovative products is a skill in high demand within industry. By studying 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.

Programme structure

30 points:

30 points:

At least 15 points from:

At least 15 points:

Up to 45 points from:

45 points: DATASCI 792 Dissertation

2019 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 4.5

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

Further programme requirements

Taught 180 points

You must have completed either:

  • A Bachelor of Science in Data Science from this University, with a Grade Point Average of 4.5 or higher in 75 points above Stage II. 

OR

  • A Bachelor of Science with a double major in Computer Science and Statistics from this University, with a Grade Point Average of 4.5 or higher in 75 points above Stage II.

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 4.5

    An undergraduate science degree

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

Further programme requirements

Taught 180 points

  • 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 4.5.
  • 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.

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

2019 fees

Domestic students
NZ$8,005.20 – $9,337.20*
International students
NZ$44,310*

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 $7.06 per point, estimated at $847.20 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.

Key dates

This programme starts in Semester One 2019: 4 March 2019.

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 2019
8 December 2018
Semester Two 2019
4 July 2019

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

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

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.

Do you need help?

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Need to speak to someone?

You can phone us directly.

Auckland
923 5025
Outside Auckland
0800 61 62 63
International
+64 9 373 7513