- Where you can study
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Auckland campusDistance and onlineManawatū campus (Palmerston North)
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International students
International students are not New Zealand citizens or residents.
- Open to international students on campus in New Zealand
- Note:
- Note: Not all courses are available at all campuses.
Specialise in Statistics for your Diploma in Arts at Massey
Statistics provides tools vital for the collecting, analysing and presenting of data. Statistics is much more than the organisation and display of data. Careful analysis of underlying questions and critical examination of the sources of data are part of the art of statistics. Modelling the variability in data to calculate the reliability of answers is part of its science.
Statisticians use computers extensively to do calculations, draw graphics and bring new insights. With increasing use of technology, people with data handling skills have become highly sought after in the workplace. More and more professions, from the every day to the exotic, depend on data and numerical reasoning.
A Diploma in Arts in Statistics is a good fit if you:
- like working with numbers or data
- are confident with modern information technology.
Planning information
Planning information
If you study full-time you’ll take eight 15-credit courses (120 credits) in one year, or 60 credits per semester. You may be able to take some courses at summer school.
If you later proceed to the Bachelor of Arts degree, all of the courses in your Diploma of Arts can be transferred to the Bachelor of Arts.
Official regulations
To understand what you need to study and must complete to graduate read the official rules and regulations for this qualification.
You should read these together with all other relevant Statutes and Regulations of the University including the General Regulations for Undergraduate Degrees, Undergraduate Diplomas, Undergraduate Certificates, Graduate Diplomas and Graduate Certificates.
Returning students
For returning students, there may be changes to the majors and minors available and the courses you need to take. Go to the section called ‘Transitional Provisions’ in the Regulations to find out more.
In some cases the qualification or specialisation you enrolled in may be no longer be taking new enrolments, so may not appear on these web pages. To find information on the regulations for these qualifications go to the Massey University Calendar.
Please contact us through the Get advice button on this page if you have any questions.
Courses you can enrol in
Courses you can enrol in
Course planning key
- Prerequisites
- Courses that need to be completed before moving onto a course at the next level. For example, a lot of 200-level courses have 100-level prerequisite courses.
- Corequisites
- Courses that must be completed at the same time as another course are known as corequisite courses.
- Restrictions
- Some courses are restricted against each other because their content is similar. This means you can only choose one of the offered courses to study and credit to your qualification.
Core courses for the Diploma in Arts
As well as the specialisation courses listed below, this qualification has core courses that you will need to complete.
Statistics courses
Compulsory courses
Course code: 161250 Data Analysis 15 credits
Biology, psychology, and other sciences require statistical methods for analysing and visualising data. This course is designed to be accessible to students from any discipline, first building a deeper understanding of fundamental statistical concepts, then teaching a range of practical approaches for exploring statistical relationships, testing hypotheses, evaluating models, and presenting conclusions.
View full course detailsCourse code: 161251 Regression Modelling 15 credits
Common data analysis and regression techniques for application in science, business and social science. Topics include simple and multiple regression; linear models with categorical explanatory variables; model diagnostics; inference for linear models; polynomial regression; models for time dependence; methods for variable selection; non-linear and weighted regression.
View full course detailsSubject courses
Course code: 161101 Statistics for Business 15 credits
An introduction to the presentation, analysis and interpretation of quantitative data. Topics include the construction of charts and summary statistics, probability, sampling, hypothesis testing, regression, time series analysis and quality management.
View full course detailsCourse code: 161111 Applied Statistics 15 credits
Statistical literacy, the ability to understand and reason with statistics and data, is becoming increasingly important as our world becomes more and more data-rich. This course focuses on developing statistical literacy in real-world contexts. We teach students to use software (Excel and RStudio) to summarise, display and analyse data. We explore data collection techniques including sampling methods and experimental design. We introduce statistical inference methods (confidence intervals, hypothesis testing and regression) with an emphasis on communicating results in context.
View full course detailsCourse code: 297101 Statistical Data Science 15 credits
An introduction to computer programming and statistics for transforming, visualising and modelling data to discover information and support decision making. A practical approach to analysing New Zealand data includes data cleaning, statistical summaries, data wrangling, visualisation and predictive modelling. Includes an exploration of the statistical ideas of sampling, probability and inference as well as modern programming tools emphasising reproducibility.
View full course detailsCourse code: 161307 Reproducible Visualisation for Statistics 15 credits
A study of the key processes and concepts underlying reproducible data visualisation in statistics. Applications include mapping, time series forecasting and visual inference across all domains.
View full course detailsCourse code: 161308 Bayesian Computational Statistics: Towards Causal Thinking 15 credits
This course covers the ideas underlying statistical modelling in science through the lens of causal thinking. We cover the implementation of these ideas through Bayesian computational methods and links to practical applications including those in Ecology, Genetics, Nutrition Science and Psychology.
View full course detailsCourse code: 161324 Data Mining 15 credits
A practical approach to data mining with large volumes of complex data; prepare, cleanse and visualise data; supervised and unsupervised modelling; ensemble and bundling techniques; use of leading software tools.
View full course detailsCourse code: 161331 Biostatistics 15 credits
Sciences such as biology and medicine yield data that require a wide range of statistical techniques, including standard linear models and their extensions. Case studies are used to demonstrate topics such as nonlinear regression, linear models for binary and count data, and mixed effects models. Emphasis is placed on application of appropriate statistical techniques through extensive use of statistical software.
View full course detailsEntry requirements
Entry requirements
Admission to Massey
All students must meet university entrance requirements to be admitted to the University.
Specific requirements
There are no specific entry requirements for this qualification, outside of university admission regulations.
English language requirements
To study this qualification you must meet Massey University's English language standards.
If you have already completed a bachelor degree
If you have already completed a bachelor degree you may replace 230111 Tū Kupu: Writing and Inquiry or 230112 Tū Arohae: Critical Thinking with courses of your choice. You will need to apply for replacement courses via a Special permission request and you will need to attach evidence of your completed degree with the request.
English language skills
If you need help with your English language skills before you start university, see our English for Academic Purposes (EAP) courses.
Fees and scholarships
Fees and scholarships
2026 tuition fees
- Domestic students: $7,415
- International students: $34,220
Tuition fees are estimates only. The exact fees charged will depend on which courses you select at the time of enrolment. The estimates are for full-time study (120 credits). Fees are in New Zealand dollars and include Goods and Services Tax (GST).
The estimates do not include the Student Services Fee. This fee is $1,164 for on-campus students and $948 for distance students for full-time study (120 credits). For more information about this fee and other fees you may need to pay, see non-tuition fees.
There may also be charges for things such as study resources, software, trips and contact workshops.
Course fees
You can view fees for the courses that make up your qualification on the course details pages.
Student loans (StudyLink) and Fees Free scheme
You may be eligible for a student loan to help towards paying your fees.
The New Zealand Government offers fees-free tertiary study for eligible domestic students. Find out more about the scheme, including how much could be covered and your eligibility on the Inland Revenue website.
Scholarship and award opportunities
Search our scholarships and awardsFees disclaimer
This information is for estimation purposes only. Actual fees payable will be finalised on confirmation of enrolment. Unless otherwise stated, all fees shown are quoted in New Zealand dollars and include Goods and Services Tax, if any. Before relying on any information on these pages you should also read the University's Disclaimer Notice.
Careers and job opportunities
Careers and job opportunities
Jobs might not always be advertised specifically for a statistician, but very often the small print under a research officer advertisement will mention statistics or data analysis as a prime requirement. The ease with which computers capture data means that most organisations find they need someone able to organise and interpret it intelligently.
Those with knowledge of statistics can find employment in a remarkably wide variety of areas, including:
- commerce (particularly finance and marketing)
- environmental management
- quality improvement
- research science
- social sciences
- teaching
- technology and industry.
International students
International students
New Zealand is a great place to study. Massey University’s reputation is supported by our international rankings, accreditations and associations. We are rated five star plus by the QS World University Rankings.
Massey University has small class sizes, and our lecturers and staff are friendly and approachable.
As an international student, there are entry requirements that will apply to you. We recommend that you apply at least three months before your anticipated start date so your application can be processed in time. There are additional steps you will need to take. These include obtaining a visa and travel bookings if your study is to be in New Zealand.
Related study options
Statistics – Graduate Certificate in Arts
With the Graduate Certificate in Arts (Statistics), you can study statistics without completing a second bachelor’s degree.
Statistics – Bachelor of Science
Learn how to make sense of the information that surrounds us with Massey’s Bachelor of Science (Statistics).
Statistics – Bachelor of Arts
The quantitative skills that you’ll gain from a Massey Bachelor of Arts (Statistics) can set you apart from other graduates when applying for jobs.
Statistics – Master of Science
Learn from experts the key theories of statistics and the quantitative skills to conduct robust statistical analyses that are effective in the real world.
Statistics – Graduate Diploma in Arts
With Massey’s Graduate Diploma in Arts (Statistics) you’ll learn the key theories of statistics, and gain the quantitative skills to conduct robust statistical analysis that’s effective in the real world.
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