This course is available
Level of Study
Next start date
Expected Feb 2024
Study a Master of Analytics – MAnalyt
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.
Gain globally recognised industry certification
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.
Latest theory, technology and practical learning
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.
The 2020 Student Experience Survey results for this programme found that 83% of students on this programme believed assessment tasks challenged students to learn, 87% believe that the programme has given them excellent “knowledge of the field you are studying”, and 79% highlight that the programme has given them “critical thinking skills”.
The 2020 Graduate Destination Survey results for this programme found that 75% of graduates are in employment and 50% have continued in further study. The most common industry graduated students were working in was “Finance and Insurance Services”. Respondents indicated that 100% were earning above the New Zealand median national salary.
Between 2018 and 2021 the average number of students enrolled in the programme was 86 (headcount) and across the whole programme, 88% of courses were successfully completed during 2020.
A MAnalyt is a good fit if you:
already have a bachelor’s degree in a related subject and looking to upskill
want to future-proof your career and increase your employment prospects with big data skills
would like real-world skills that make you industry-ready immediately upon completion of your study.
All students must meet university entrance requirements to be admitted to the University.
To enter the Master of Analytics you will:
have been awarded or qualified for a bachelor's degree in the subject in which you intend to specialise, or equivalent, with a minimum B grade average in the highest level courses
have sufficient background in statistical analysis tools to satisfy the Academic Board that you have the capacity to undertake the qualification.
You will provide the following documents:
Verified copies of all academic transcripts for studies taken at all universities other than Massey University.
Provide a current CV showing all relevant work experience with statistical software.
International English Language Requirements: