Graduate Diploma in Applied Statistics

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Regulations

See the regulations and courses for this programme.

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Entry requirements

To enter the programme you will normally need a university degree or be accepted as having equivalent status to a university graduate.

You will also need to have an adequate mathematical and statistical background for the 200-level (second year of an undergraduate degree) courses you wish to study - normally the equivalent of 100-level courses in Mathematics and Statistics.

You should consult the Statistics major of the Bachelor of Sciences for details of offerings of 100-level prerequisite courses.

Students will normally have passed:

For general entry requirements see Massey University entry requirements.

Graduate Diploma in Applied Statistics structure

The Graduate Diploma in Applied Statistics requires a minimum of 120 credits including:

  • 45 credits from Group A courses;
  • at least 75 credits from Group B and Group C courses;
  • no more than 30 credits from Group C courses;

Note: You may include courses from Group C provided you have met the prerequisites, AND have passed at least 30 credits from Group B courses, AND have achieved a minimum B+ average across your GradDipApplStat courses. In cases of sufficient merit, the Graduate Diploma in Applied Statistics may be awarded with distinction.

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

Courses

Group A Courses
Compulsory Group A Courses (30 credits)
161.200 Statistical Models
161.221 Applied Linear Models

Group A Course Selection
15 credits from:
161.220 Data Analysis
161.223 Introduction to Data Mining
161.250 Data Analysis for Biologists

Group B
161.304 Advanced Statistical Modelling
161.321 Sampling and Experimental Design
161.322 Design and Analysis of Surveys and Experiments
161.323 Multivariate Analysis
161.324 Data Mining
161.325 Statistical Methods for Quality Improvement (Course not offered)
161.327 Generalised Linear Models
161.331 Biostatistics
161.342 Forecasting and Time Series
161.390 Special Topic

Group C
161.380 Statistical Analysis Project
161.382 Statistical Analysis Project


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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