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Master of Analytics - Business - level 9

Massey University

Massey’s Master of Analytics will equip you with technical ability and competence in devising data-driven solutions. These are the skills needed to transform massive amounts of data into insights that enable better decision making and innovation both in the private and public sectors.

Businesses and organisations today collect unprecedented amounts of detailed data. They can use this to become more competitive through greater efficiencies and new product creation. But in practice, the sheer volume of information is often overwhelming.

The Master of Analytics will help you understand all these things, as well as give you training in communicating your findings in a compelling way to a business audience. Your study will cover fundamental data analysis tools, including machine learning, data mining, statistics, and econometrics.

In the last phase of study, you will complete an applied analytics project, where you will address a real-world problem in collaboration with an organisation. We also give you training in communicating your findings in a compelling way to a business audience.

The Master of Analytics is supported by the world's leading business analytics software provider - SAS. Students earn the globally recognised SAS Academic Specialisation, which recognises knowledge learnt that further enhances a graduate’s industry skills. The Specialisation supports students to prepare to work in a data-rich business environment and documents students’ coursework using SAS’ award-winning software to solve real-world business problems. Massey University was the first New Zealand university to offer the SAS Academic Specialisation.

Your course of study in the Master of Analytics will cover the fundamental theoretical concepts in analytics as well as the latest and cutting-edge technologies in the industry such as Python and R, together with SQL.

You will then learn how these tools are applied in a specialisation of your choosing. In the last phase of study you will complete an applied analytics project, where the knowledge and skills you have learnt will be utilised to address a real-world problem in collaboration with an organisation.

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Requirements

Listed below are the documents required to apply for this course.
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Duration

Feb 2025

Start Month

Jan 2025

Application Deadline

Upcoming Intakes

  • July 2024
  • February 2025
  • July 2025

Mode of Study

  • Full Time