Master of Analytics (Business)

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Regulations

See the regulations and courses for this programme.

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Entry requirements

Applicants for the 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.

And;

  • 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.

Planning your programme

To find out how to plan your study and/or see what courses are necessary to complete your programme, please click the 'Regulations' button. 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 wish to study on a part-time basis please refer to the part-time study plan on the main MAnalyt programme planning page.

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.

For general entry requirements see Massey University entry requirements.

Courses

Part One

Compulsory Courses:

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

Business Specialisation Subject Courses:

Students must take 60 credits from one Option below:

Option One: Marketing
156.761 Customer Insights
156.762 Return on Marketing Investments

Option Two: Finance

Compulsory:
125.788 Big Data in Finance and Banking

And 30 credits from:
125.700 Managerial Finance
125.740 Advanced Investment Analysis
125.781 Advanced Financial Risk Management

Part Two

115.801 Applied Analytics Project
Or
115.802 Applied Analytics Project Part 1

And
115.803 Applied Analytics Project Part 2.

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