Study Master of Data Science at The University of Auckland in New Zealand, Faculty of Science

About this course

About this course
- Overview
- Department
Study options
Entry requirements
- International

What will I learn?

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. 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.

Which department am I in?

Faculty of Science

Study options

Full Time (1.5 Years)

Tuition fees

NZ$55,484.40 (US$ 33,097) per year

Student Services Fee of $9.24 per point, estimated at $1,108.80 for full-time study (120 points).

*Price shown is for indicative purposes, please check with institution

Start date

December 2026

Venue

City Campus

Princes Street,

Auckland,

1142, North Island, New Zealand

Full Time (1.5 Years)

Tuition fees

NZ$58,257.60 (US$ 34,751) per year

*Price shown is for indicative purposes, please check with institution

Start date

March 2027

Venue

City Campus

Princes Street,

Auckland,

1142, North Island, New Zealand

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Entry requirements

For international students

Taught 180/240 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.

*There may be different IELTS requirements depending on your chosen course.