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Master of Analytics

Key facts

  • Available at Auckland
  • Available at Wellington
  • Available via PSB Academy, Singapore
  • One year  full-time study; Up to a maximum of five years part-time study
  • Availability for international students varies. Refer to the major / endorsement web pages for details.

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Details you need to know about the structure, courses and requirements for this programme.

View regulations

Entry requirements

Applicants for the Master of Analytics (MAnalyt) will meet University admission requirements as specified, and 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 programme.

To support your application, you will need to provide the following document/s:

  • Verified copies of all academic transcripts for studies taken at all universities other than Massey University;
  • A current CV showing all relevant work experience with statistical software.

For general entry requirements see Massey University entry requirements.

Planning your programme

To find out how to plan your study and/or see what courses are necessary to complete your programme, please check the regulations. It will display the regulatory information for the programme you have selected.

If you would like to find out more about individual course requirements, please use our Course search.

It is important to note that the MAnalyt programme is specifically designed to be started in Semester 1 with the core pillars of statistics, data mining and econometrics. The specialist subject courses in Semester 2 allow students to apply the skills learnt in Semester 1 and extend these into their business area of interest. Finally, students will integrate all skills in the applied project in Summer School.

If you are working full-time we strongly recommend that you study on a part-time basis over a minimum of two years and  follow the below study plan:

Year 1 Semester One
158.739 & 178.724;

Year 1 Semester Two
60 credits from Subject (note for Business both subject courses must be from the same subject prefix: 60 credits from 125.7xx Finance OR 60 credits from 156.7xx Marketing);

Year 2 Semester One
161.762 & 161.777;

Year 2 Semester Two
30 credits from Subject (see note above re Business);

Year 2 Summer School

115.801 (note progression into part 2 of the MAnalyt requires a minimum B- grade average over the core compulsory courses undertaken in Part One of the programme).

Master of Analytics structure

Qualification Requirements

Candidates for the MAnalyt shall follow a parts-based course of study, which shall consist of courses totalling at least 180 credits, comprising:

Part One (including 60 credits of compulsory courses and 60 credits of subject courses) and Part Two (project) as defined by the Schedule to the Qualification;

And including:

  • Any compulsory courses listed in the Schedule for the Qualification
  • At least one subject
  • Attending field trips, studios, workshops, tutorials, and laboratories as required.


Candidates may complete a specialisation by passing at least 120 credits in a specialisation including the Applied Analytics Project from Part Two.

Approved subjects specialisations are:

  • Business
  • Health
  • Public Policy

Academic Requirements

Every candidate for the MAnalyt shall complete to the satisfaction of the Academic Board, a minimum of 600 hours in approved practica and associated reports in accordance with the following course:
115.801 Applied Analytics Project
115.802 Applied Analytics Project Part 1
115.803 Applied Analytics Project Part 2

Student Progression

For progression from Part One to Part Two, candidates must have maintained a B- grade average over the core compulsory courses undertaken in Part One.

In cases of sufficient merit, the Degree of Master of Analytics may be awarded with Distinction or Merit.

These regulations should be read in conjunction with all other Statutes and Regulations of the University including the General Regulations for Postgraduate Degrees, Postgraduate Diplomas and Postgraduate Certificates


Part One (60 credits)

Compulsory courses

158.739 Introduction to Analytics
161.762 Multivariate Analysis for Big Data
161.777 Practical Data Mining
178.724 Applied Econometric Methods

Subject courses

60 credits from one specialisation option (see the relevant specialisation page for the course schedule).

Part Two

115.801 Applied Analytics Project
115.802 Applied Analytics Project Part 1

115.803 Applied Analytics Project Part 2.

Majors or endorsements

How much will it cost?

We can't tell you the exact cost until you have chosen your courses, as the tuition fees you pay each year vary depending on the courses you choose. There will also be compulsory non-tuition fees you have to pay in addition to your tuition fees. For some courses there may be other charges for things such as study resources, software, trips and contact workshops.

To get an approximate idea of tuition costs for typical study areas, you can use our quick guide to programme fees.

Already know which courses you're going to choose?

If you already know which courses you are going to take, you can use our Fees calculator to get an estimate of your fees.

Financial assistance

You might be eligible to apply for a scholarship or award. You can use our scholarship search to see what is available. You may also be eligible for a student loan to help towards paying your fees.

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