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Master of Data Science

New Zealand

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What will I learn?

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:

COMPSCI 752 Big Data Management

COMPSCI 760 Datamining and Machine Learning

STATS 762 Regression for Data Science

STATS 769 Advanced Data Science Practice

At least 15 points from:

STATS 705 Topics in Official Statistics

STATS 730 Statistical Inference

STATS 763 Advanced Regression Methodology

STATS 784 Statistical Data Mining

STATS 786 Time Series Forecasting for Data Science

240-point taught masters

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

60 points:

COMPSCI 717 Fundamentals of Algorithmics

COMPSCI 751 Advanced Topics in Database Systems

COMPSCI 762 Advanced Machine Learning

STATS 707 Computational Introduction to Statistics

STATS 762 Regression for Data Science

STATS 765 Statistical Learning for Data Science

STATS 782 Statistical Computing

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

Further study options

Doctor of Philosophy

Which department am I in?

Faculty of Science

Study options

Full Time (180 credit hours)

Tuition fees
NZ$50,809.60 (US$ 30,450) per year
Tuition Fees: NZ $50,564 - NZ $50,810

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

Application deadline

4 July 2024

More details

Start date

15 July 2024, 3 March 2025

Venue

University of Auckland

City Campus,

Alfred Nathan House, 24 Princes Street,

AUCKLAND CITY,

Auckland Central,

1010, New Zealand

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.

IELTS (Academic): Overall score of 6.5 and no bands less than 6.0; Internet-based TOEFL (iBT): Overall score of 90 and written score of 21; Paper-based TOEFL: Overall score of 68 and a writing score of 21; Cambridge English: Advanced (CAE) or Cambridge English Proficiency (CPE): Overall score of 176 and no bands below 169; Pearson Test of English (PTE) Academic: Overall score of 58 and no PTE Communicative score below 50; Foundation Certificate in English for Academic Purposes (FCertEAP): Grade of B-; Michigan English Language Assessment Battery (MELAB): 85.

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

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About University of Auckland

The University of Auckland is New Zealand’s largest and most highly ranked university, with a global reputation for academic excellence.

  • Ranked 87th in the world (QS World University Rankings 2023)
  • New Zealand’s largest research organisation
  • Outstanding student support and excellent facilities
  • 12th in the world in THE University Impact Rankings 2022

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