Master of Data Science MDataSci

University of Auckland

New Zealand, Auckland

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Home/New Zealand/Auckland /University of Auckland/Master of Data Science MDataSci

University of Auckland

New Zealand , Auckland

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Credit point

180 Points

Campuses

City

Program Language

English

Start & Deadlines

Next Intake Deadlines2-Mar-2026

Apply to this program

Go to the official application for the university

Duration 18 month(s)

Tuition Fee

NZD 52,585 / year

Next Intake 2-Mar-2026

Master of Data Science MDataSci

About

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.

Disciplines

Science

Requirements

Entry Requirements

2025 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

Calculate your Grade Point Average (GPA)

Further programme requirements

Select your study option:

Taught 180 points Taught 240 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 60 points above Stage II.

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 60 points above Stage II.

You must have completed a Bachelor of Science in a similar field with a GPA of 4.0 in 60 points at Stage lll or above, and passed COMPSCI 130, MATHS 108, and STATS 101, or equivalent prior study.

Other pathways to study

If you do not meet the above entry requirements, but have other relevant experience and think you would be successful in postgraduate study, please contact us to discuss alternative pathways into our programmes.

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

No bands less than 6.0

See alternative English language requirements

Calculate your Grade Point Equivalent (GPE)

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.

Career

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

Further study options

Doctor of Philosophy

See all study options

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