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Overview

Turning numbers into knowledge

Learn how to make sense of the information that surrounds us with Massey’s Bachelor of Science (Statistics).

  • Level

  • Undergraduate, NZQF Level 7
  • Campus

  • Manawatū
  • Distance learning

  • Available
  • International

  • Available for international students studying in NZ or via distance learning

Theory and practical relevance

If you enjoy working with numbers, you will love studying statistics. It is a broad area of study that involves much more than the organisation and display of data. Statistics involves the careful analysis of underlying questions and critical examination of the sources of data.  Modelling the variability in data to evaluate evidence is part of this broad science.

As a Bachelor of Science (Statistics) student you will learn the fundamental theory of statistics. You’ll also learn the quantitative skills to conduct robust statistical analyses that are effective in the real world. With these broadly useful skills, statisticians are able to work across all areas of science and industry – anywhere that data are found.

Sought-after skills

You’ll learn how to work with large data sets to discover patterns and draw conclusions. They are sought-after skills for many employers. As one of New Zealand’s first universities to offer courses in data mining, Massey has both the experience and strength to ensure you graduate a step ahead of the rest.

Topics

Some of the topics taught in statistics courses include:

  • probability models
  • data analysis
  • statistical models
  • statistical inference
  • biostatistics
  • experiments and surveys
  • multivariate models
  • statistical methods of quality improvement
  • data mining
  • simulation
  • forecasting and time series.

Learn from the best

Our lecturers are actively researching and bring that research to your learning. You also benefit from Massey’s broader expertise. We link in with areas such as our marine ecology area in Auckland and veterinary science in Manawatū. You’ll gain a practical understanding of the many different applications for statistics.

Complementary skills that set you apart

You could choose a double major or minor in a wide range of subjects, from volcanology and earth sciences, to infectious diseases and population ecology. If you are studying other science subjects or looking at studying business, studying statistics as a complementary subject can set you apart when applying for jobs.

 

Careers and further study

Careers

Earn more

A 2017 Ministry of Education publication, The post-study earnings and destinations of young domestic graduates, showed that those who complete a qualification in a science, agriculture, technology, computer science, engineering or mathematics field of study have high relative earnings after they complete their study compared to the national median. Earnings can be substantially more than other graduates.

Statistics is set to become an increasingly important discipline over the next 20 years. With a major in statistics you can expect to be highly sought-after in the workplace and will rarely have trouble finding a job. Recent graduates have found employment in a remarkably wide variety of areas including:

  • scientific research
  • health services
  • environmental management
  • commerce (particularly finance and marketing)
  • social sciences
  • quality improvement
  • industry
  • teaching.

Employers include government agencies like Statistics New Zealand, Crown Research Institutes, schools, hospitals and medical research institutes, and private companies both large and small. Opportunities for statisticians exist worldwide, with a number of our students taking up overseas positions in places like Hong Kong and the USA shortly after graduation.

Careers for statisticians can be advertised under a wide variety of titles, such as:

  • biostatisticians
  • business systems analyst
  • data analyst
  • health informatics analyst
  • market researcher
  • modeller
  • quality assurance specialist
  • risk analyst/consultant
  • statistician
  • survey sampling analyst
  • test analyst.

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.

Entry requirements

University admission

All students must meet university entrance requirements to be admitted to the University.

Programme admission

Required

There are no specific entry requirements for this programme, outside of university admission regulations. However, there is some expected background knowledge.

Expected high school preparation

Knowledge gained in the following NCEA subjects (or the equivalent in Cambridge International Examinations, International Baccalaureate, or similar) will give you the expected background knowledge to take this major.

  • At least 16 credits in NCEA Level 2 Mathematics from the following list of standards: 91256, 91257, 91258, 91259, 91260, 91261, 91262, 91269

If it’s some time since you studied mathematics at school you can find out if you have the required background by taking this maths quiz.

English language requirements

To study this programme you must meet Massey University's English language standards.

Recommended

To be successful in your studies we recommend that you also have the following NCEA subjects (or equivalent). These will help your study in this major but are not essential.

  • At least 16 credits in NCEA Level 3 Mathematics from the following list of standards: 91573, 91574, 91575, 91576, 91577, 91578, 91579, 91587.

Prior learning, credit and exemptions

For information on prior learning, exemptions and transfer of credit or other questions:

If you do not have the entry requirements

Pathway tool

If you are unsure whether you have the right background/subjects to study this programme, our tool will help you to figure out what you might need to do before starting your qualification.

Find your pathway

English language and foundation courses

If you need help with your English language skills before you start university, we have courses and programmes that may help.

Summer School

If you need to do a course before you start your programme, there may be options for you in Summer School.

Courses and planning

Courses for this specialisation

200-level courses (60 credits)

Compulsory courses

30 credits
161220 Data Analysis 15
161221 Applied Linear Models 15

Compulsory course selection

30 credits
160211 Linear Algebra 15
161222 Design and Analysis of Experiments 15
233214 GIS and Spatial Statistics 15

300-level courses

60 credits
161303 Probability and Random Processes 15
161305 Statistical Inference 15
161306 Advanced Data Analysis 15
161312 Statistical Machine Learning 15

Planning your programme

Planning overview

If you study full-time, in your first year, you’ll take eight 15-credit courses, making a total of 120 credits.

If you wish to study over two semesters, you should aim for 60 credits per semester. You may be able to take some courses at summer school. Make sure you include courses that are prerequisites for the next level of courses you wish to study.

The first-year structure is designed to provide you with a broad knowledge and skill set which will equip you to go on to more advanced courses in the second and third years.

Statistics has similar first-year core courses to several other majors available in the Bachelor of Science, allowing students to change their major before their second year. Changing your major may incur an increase in completion time.

Suggested structure

Manawatū
100-level courses

Take these in any order:

  • 247.113 Science and Sustainability for Science or 247.112 Science and Sustainability for ICT
  • 161.111 Applied Statistics or 161.122 Statistics
  • 160.101 Calculus or 160.102 Algebra or 160.105 Methods of Mathematics (take 160.102 Algebra if taking 160.211)
  • 159.171 Computational Thinking and Programming 1.

Plus choose four 100-level elective courses. Two of these electives must be from the BSc Schedule A courses. The remaining two electives can be from a subject area other than Science.

Recommended 100-level electives:

  • 160.101 Calculus
  • 160.102 Algebra
  • 159.172 Computational Thinking and Programming 2.

Students must pass at least 90 credits from the BSc Schedule A, including any compulsory courses, in their first 120 credits of study towards the Bachelor of Science.

200-level courses in the major

Take both of:

  • 161.220 Data analysis
  • 161.221 Applied Linear Models.

And take two from:

  • 160.211 Linear Algebra
  • 161.222 Design and Analysis of Experiments
  • 233.214 GIS and Spatial Statistics.
300-level courses in the major

Take all four:

  • 161.303 Probability and Random Processes
  • 161.312 Statistical Machine Learning
  • 161.305 Statistical Inference
  • 161.306 Advanced Data Analysis.

To check course offerings, prerequisites, co-requisites and restrictions that may affect you, search the course code in the Course Search.

When choosing electives, ensure you meet the BSc regulations by having at least 240 credits from the BSc schedule of courses, at least 75 credits at 300-level, and no more than 165 credits at 100-level.

Current students refer to the ‘Returning students’ section.

Distance
100-level courses

Take these in any order:

  • 247.113 Science and Sustainability for Science or 247.112 Science and Sustainability for ICT
  • 161.111 Applied Statistics or 161.122 Statistics
  • 160.101 Calculus or 160.102 Algebra or 160.105 Methods of Mathematics (take 160.102 Algebra if taking 160.211)
  • 159.171 Computational Thinking and Programming 1.

Plus choose four 100-level elective courses. Two of these electives must be from the BSc Schedule A courses. The remaining two electives can be from a subject area other than Science.

Recommended 100 level electives:

  • 160.101 Calculus
  • 160.102 Algebra
  • 159.172 Computational Thinking and Programming 2.

Students must pass at least 90 credits from the BSc Schedule A, including any compulsory courses, in their first 120 credits of study towards the Bachelor of Science.

200-level courses in the major

Take both of:

  • 161.220 Data analysis
  • 161.221 Applied Linear Models.

And take two from:

  • 160.211 Linear Algebra
  • 161.222 Design and Analysis of Experiments
  • 233.214 GIS and Spatial Statistics.
300-level courses in the major

Take all four:

  • 161.303 Probability and Random Processes
  • 161.312 Statistical Machine Learning
  • 161.305 Statistical Inference
  • 161.306 Advanced Data Analysis.

Not sure of your major yet?

You can change to any BSc major at the end of your first year. Moving from the first year of statistics to one of the majors below is particularly simple, as the required first year courses are similar. By choosing your courses and electives carefully to cover both majors you could easily swap over at the end of first year.

  • Computer Science
  • Mathematics (include 160.101 and 160.102 in your first year)
  • Physics (include 161.122 and 160.101 and 160.102 and 124.104 and 124.105 in your first year)

Changing your major may incur an increase in completion time.

Minors

Completing a minor is optional. Minors increase the breadth of your degree. They give you extra knowledge, attributes and capabilities.

A minor must be in a different subject from your major.

A Bachelor of Science (Statistics) with a minor

You may choose a minor from any university undergraduate degree that has recognised minors. If the minor is from another undergraduate degree, the regulations of that programme will apply.

Some BSc minors that are particularly compatible with Statistics include those shown below. Timetabling will prioritise these combinations to minimise clashes.

  • Computer Science (Course: 159.172).
  • Earth Science (Courses: 233.105 and 189.151 and 123.103 or 123.104).
  • Mathematics (Course: 160.101).
A Statistics minor (for students who are studying a different degree)

If you wish to complete a Statistics minor see the BSc regulations for requirements.

Fees and scholarships

Fees and finance

Fees, student loans and free fees scheme

Your tuition fees may be different depending on the courses you choose. Your exact fees will show once you have chosen your courses.

There will also be some compulsory non-tuition fees and for some courses, there may also be charges for things such as study resources, software, trips and contact workshops.

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.

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 and your eligibility on the Fees Free website. To use the site's eligibility checking tool, you will need your National Student Number.

Current and returning Massey students will find their National Student Number on their student homepage.


A good fit if you:

  • want to create quantitative solutions to modern day problems
  • enjoy teamwork with people from different subject areas
  • are confident working with computers.

Meet our students

Accreditations and rankings

QS Ranking - Statistics and Operational Research

Massey University is ranked by Quacquarelli Symonds (QS) as one of the top 200 universities for statistics and operational research.


Key information for students

Compare qualifications and academic information across different New Zealand institutions.

Regulations

Review this important information before you apply for this programme. This gives you full details of the rules and regulations about what you need to study and what you must achieve in order to graduate with this qualification. That includes structure, courses and requirements. These regulations should be read in conjunction with all other Statutes and Regulations of the University including the below.

Undergraduate programmes

General Regulations for Undergraduate Degrees, Undergraduate Diplomas, Undergraduate Certificates, Graduate Diplomas and Graduate Certificates.

 

Regulations for this programme

Applying and enrolling

Applying for the programme

Check you are ready

If you are ready to apply, have a look at our application checklist. It will help you get prepared with what you need. Please also check the entry requirements carefully before you apply.

Choose your programme and click on Apply now

You will apply for the programme using the Apply now button on this page. You’ll also choose your specialisation (major, subject or endorsement) if applicable.

Some programmes have additional requirements such as the submission of a portfolio or CV. Click on Apply now and you will be able to submit those documents as part of the application process.

Receive and accept an Admission Offer of Place

You will receive an Admission Offer of Place when you have been accepted into the programme. You need to accept this before you can enrol in your courses. International students also need to pay their fees at this point.

Enrolling in courses

You’ll then get access to your own student homepage (also known as the student portal). This is where you can enrol in courses. Any updates on your application or enrolments will also be on your student homepage. Make sure you check this regularly.

When you choose courses, ensure you check for any requirements that apply including:

  • prerequisites (courses you have to do before the one you are enrolling in)
  • corequisites (courses you have to do at the same time as the one you are enrolling in)
  • restrictions (courses that you cannot enrol in if you are completing or have completed another identified similar course)
  • location – for instance some distance-based courses still have an on-campus element, so double check that the way the course is taught is suitable for your situation.

Each of our courses has its own webpage where you can find this information. You can use our course search to find course pages.

More information on courses is in the ‘Courses for this programme’ section on this page.

You can find information on application due dates and semester dates on the key dates page.

We look forward to welcoming you to Massey!

If you have any questions, contact us through the Enquire button on this page.

What are courses and credits?

What are courses and credits?

Each Massey programme is made up of courses (in some tertiary institutions they are called ‘papers’).

You will have some compulsory courses and some you can choose from.

Each course is worth a certain amount of credits (often 15 credits, but this does vary). You must gain a set number of credits to be able to graduate from this programme.

There may also be some rules about which courses you need to pass to progress to the next year, or stage, of your study (known as progression). There are also courses you must pass to graduate with a specialisation.

  • See the ‘Courses for this programme’ section for the list of courses.
  • Courses search

Understanding course numbers

The first three digits of our course numbers show you which subject the course is about.

The second three digits show you the level and course ID number. For instance:

  • sub-degree courses are '0' (i.e. xxx.0xx)
  • undergraduate study begins at 100-level, (i.e. xxx.1xx)
  • as you progress through 200- and 300-level courses this number changes to 2 and 3 respectively. The higher the number that starts the second three digits, the higher the level of study
1 6 2 . 3   0 1
Subject area   Level   Course ID number

About electives

Electives are courses that are not compulsory. Certain guidelines are usually provided on courses you may take. Elective courses contribute to the programme, but not to your major or specialisation.

Workload and time management

Use this tool to help determine how much time you will need each week to complete your studies.

Estimate workload

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 programme 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 programmes go to the Massey University Calendar.

Please contact us through the Enquire button on this page if you have any questions.

Scholarships and awards

Scholarships related to this programme

There are a number of scholarships available for new and current students. They could relate to your situation, achievement or interest.

Find and apply for scholarships

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