Computer Science
A course by
AUT
Gain advanced analytics, statistics, and computational skills to model, analyse, and manage large-scale data with the Master of Analytics at AUT.
In-person study
Face-to-face learning in a physical classroom setting
City Campus, Auckland
It will take a total of 18 months

Obtain hands-on expertise in using modern analytics tools, techniques, and database systems for large-scale data handling.

Gain the ability to develop and apply mathematical, statistical, and simulation models to address real-world analytical challenges.

The Master of Analytics addresses the global demand for professionals skilled in the organisation, storage, and manipulation of huge quantities of data. This programme provides mathematical, statistical, and computational skills for large-scale data modelling, database development, and advanced analytics. It is suitable for graduates from related disciplines or working professionals seeking to deepen expertise in data analytics and data science.
What you need to know first
Relevant bachelor’s degree in mathematical sciences (or equivalent) with at least a B grade average in level 7 or above courses.

Analytics
Data Science
Business Intelligence
Research

Data analyst/scientist
Data engineer
Computer Science
A course by
AUT
Gain advanced analytics, statistics, and computational skills to model, analyse, and manage large-scale data with the Master of Analytics at AUT.
In-person study
Face-to-face learning in a physical classroom setting
City Campus, Auckland
It will take a total of 18 months

Obtain hands-on expertise in using modern analytics tools, techniques, and database systems for large-scale data handling.

Gain the ability to develop and apply mathematical, statistical, and simulation models to address real-world analytical challenges.

The Master of Analytics addresses the global demand for professionals skilled in the organisation, storage, and manipulation of huge quantities of data. This programme provides mathematical, statistical, and computational skills for large-scale data modelling, database development, and advanced analytics. It is suitable for graduates from related disciplines or working professionals seeking to deepen expertise in data analytics and data science.
What you need to know first
Relevant bachelor’s degree in mathematical sciences (or equivalent) with at least a B grade average in level 7 or above courses.

Analytics
Data Science
Business Intelligence
Research

Data analyst/scientist
Data engineer
Learn the latest concepts, frameworks, and trends in analytics, including big data, AI, and machine learning.
In exceptional circumstances, a combination of academic and professional experience subject to completion of prerequisite courses.
Operations research analyst
Quantitative analyst
Business intelligence analyst
Market research analyst
Management consultant
Researcher in higher education establishments
Learn the latest concepts, frameworks, and trends in analytics, including big data, AI, and machine learning.
In exceptional circumstances, a combination of academic and professional experience subject to completion of prerequisite courses.
Operations research analyst
Quantitative analyst
Business intelligence analyst
Market research analyst
Management consultant
Researcher in higher education establishments