Red X iconGreen tick iconYellow tick icon

Take your love of problem-solving to the next level and gain skills that work across industries - from health to business to research.

Why study Statistics?

Statistics is all about making sense of the world through data. It’s not just about numbers; it’s about spotting patterns in uncertainty, asking the right questions and applying what you find to real problems.

At Otago you’ll learn how to design studies, collect reliable data, build statistical models and interpret results in a meaningful way. Whether you’re fascinated by health, environment, business, social science or technology, statistics gives you a toolkit to explore your interests from a new angle.

Statisticians are in demand because almost every field uses data to make decisions. Gain skills that let you work across disciplines – from psychology to finance, from ecology to marketing – giving you flexibility to pursue the work that interests you most.

Career opportunities

A degree in Statistics prepares you for a world that runs on data. You will graduate with skills that employers value across science, health, business, government and technology. Wherever decisions rely on evidence, statistical expertise is in demand.

Career pathways include:

  • Data analyst or statistician in government, business or research settings
  • Biostatistician supporting public health, medical studies or clinical research
  • Data scientist working with analytics, modelling and real-world datasets
  • Market or consumer insights researcher helping organisations understand people and behaviour
  • Risk analyst or financial analyst supporting smart decisions in finance and insurance

How you will learn

At Otago your Statistics learning will feel dynamic, interactive and connected to real-world problems. You'll start with a broad introductory Statistics course in your first year.

Later you’ll work on projects, use real data sets, explore visualisation and build models. Our lecturers bring in research examples, cross-discipline collaboration and industry relevance.

You’ll learn in small groups, laboratories and computer-based labs, and you’ll be encouraged to choose electives or complementary papers in another field that interest you (for example in science, commerce, arts or health).

By the end, you’ll be comfortable turning questions into data plans, doing the analysis, and explaining what the results mean to others.

Recommended high school subjects for undergraduate study

Almost any school background will allow entry to a statistics programme, but NCEA Level 3 Mathematics and Statistics is highly recommended for this programme. Also, being comfortable with computers, data and asking questions will give you a strong start.

Choose a study option

Whether you're embarking on your academic journey with our comprehensive undergraduate programmes or aiming to reach new heights through our advanced postgraduate offerings, Otago is here to support your aspirations.

Undergraduate qualifications

For new and current students studying towards a Bachelor's or other first degree. Explore undergraduate qualifications at Otago, designed to build a strong foundation in your chosen field, preparing you for a successful career or further study.

Note: this subject can also be studied as a minor.

Ready to apply?

Take the first step towards your future in this subject.

Further study opportunities

Whether you are looking to bridge your undergraduate studies to advanced knowledge or aiming to specialise in a specific field, Otago offers a range of graduate and postgraduate options to suit your aspirations.

Sarah Croft

The Statistics programme provides essential skills from programming, to analysing data, and understanding reports – and it looks great to future employers! Just taking a couple of papers can really help you gain some sought after skills for your CV, and who knows, you might end up loving Stats and taking more, just like I did.


Sarah Croft

Studying for a Doctor of Philosophy
Bachelor of Science with Honours (Statistics), Bachelor of Science (Majors: Genetics, Statistics)

Where world-class research meets outstanding teaching

You will learn from leading statisticians in New Zealand – leading researchers and teachers who work on problems as diverse as animal populations, public health, and climate change.

There are clear pathways into postgraduate study and research, especially in areas such as ecology and evolutionary genetics, mathematical and numerical relativity and computational statistics. You can also explore our Data Science programme, which combines statistics with computer science and prepares students for roles at the intersection of data, technology and decision-making.

Benefit from small class sizes and approachable teaching staff, learning alongside peers who bring diverse interests and perspectives to statistical problems.

Programme details

Compare programmes for this subject.

LevelPapersPoints
100-level STAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics 18
MATH 130 Fundamentals of Modern Mathematics 1 18
MATH 140 Fundamentals of Modern Mathematics 2 18
200-level STAT 210 Applied Statistics 18
STAT 260 Visualisation and Modelling in R 18
STAT 270 Probability and Inference 18
MATH 202 Linear Algebra or MATH 203 Calculus of Several Variables 18
300-level STAT 310 Statistical Modelling 18
Three further 300-level STAT papers, including at least one of STAT 370, STAT 371, STAT 372 54
Plus 162 further points; must include 36 points at 200-level or above. 162
Up to 90 points may be taken from outside Arts.  
Other papers approved by the Head of Department may be substituted for up to two papers at either 200- or 300-level  
Total 360

LevelPapersPoints
100-level

One of

STAT 110 Statistical Methods

STAT 115 Introduction to Biostatistics

COMO 101 Modelling and Computation

18
MATH 130 Fundamentals of Modern Mathematics 1 18
MATH 140 Fundamentals of Modern Mathematics 2 18
200-level STAT 210 Applied Statistics 18
STAT 270 Probability and Inference 18
DATA 201 R for Statistics and Data Science 18
300-level STAT 310 Statistical Modelling 18
One of

STAT 370 Statistical Inference

STAT 371 Bayesian Data Analysis

STAT 372 Stochastic Modelling
18
Two further papers from STAT 300-level, DATA 302 36
Plus 180 further points; must include 36 points at 200-level or above.

Up to 90 points may be taken from outside Science

Notes: (i) STAT 310 can be replaced with STAT 370 for students who complete STAT 310 to satisfy programme requirements in another major or minor.  (ii) MATH 202 and 203 are required for entry into an Honours degree majoring in Statistics.  (iii) Other papers approved by the Head of Department may be substituted for up to two papers at either 200- or 300-level.
180
Total 360

A minor subject can be included in many of our undergraduate degrees. To earn a minor, you typically must complete a minimum of 90 points in that subject, with at least 18 points at the 300-level.

Your minor can be a subject more commonly taken for a different degree. For example, a BCom majoring in Marketing can include Japanese as a minor subject. To include this subject as a minor in your application, first find a major subject through our Subject Search or Study Match.

You can check what’s required to receive the minor accreditation in the programme details below.

Available as a minor subject for a Bachelor of Arts (BA), Bachelor of Music (MusB), Bachelor of Performing Arts (BPA), Bachelor of Theology (BTheol), Bachelor of Science (BSc), Bachelor of Commerce (BCom), Bachelor of Entrepreneurship (BEntr), Bachelor of Health Science (BHealSc), Bachelor of Arts and Commerce (BACom), Bachelor of Arts and Science (BASc) or Bachelor of Commerce and Science (BComSc) degree

LevelPapersPoints
100-levelSTAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics
Students who have passed BSNS 112 before enrolling for Statistics as a minor subject may substitute BSNS 112 for STAT 110 or 115
18
200-level

STAT 210 Applied Statistics

STAT 260 Visualisation and Modelling in R

18

18

300-level

Two of:

36

Total 90

A minor subject can be included in many of our undergraduate degrees. To earn a minor, you typically must complete a minimum of 90 points in that subject, with at least 18 points at the 300-level.

Your minor can be a subject more commonly taken for a different degree. For example, a BCom majoring in Marketing can include Japanese as a minor subject. To include this subject as a minor in your application, first find a major subject through our Subject Search or Study Match.

You can check what’s required to receive the minor accreditation in the programme details below.

Available as a minor subject for a Bachelor of Arts (BA), Bachelor of Music (MusB), Bachelor of Performing Arts (BPA), Bachelor of Theology (BTheol), Bachelor of Science (BSc), Bachelor of Commerce (BCom), Bachelor of Entrepreneurship (BEntr), Bachelor of Health Science (BHealSc), Bachelor of Arts and Commerce (BACom), Bachelor of Arts and Science (BASc) or Bachelor of Commerce and Science (BComSc) degree

LevelPapersPoints
100-levelMATH 130 Fundamentals of Modern Mathematics 118
MATH 140 Fundamentals of Modern Mathematics 2 18
200-levelSTAT 270 Probability and Inference18
300-100-

Two of:

Note: DATA 201 is a prerequisite for STAT 371, but may be waived for students with suitable programming experience

36

Total 90

Note: Students taking a Statistics major will not be permitted to take a Mathematical Statistics minor.

Papers

View a list of all related papers below.

STAT papers

Paper Code Year Title Points Teaching period
STAT110 2026, 2027 Statistical Methods 18 points Summer School, Semester 1
STAT115 2026, 2027 Introduction to Biostatistics 18 points Semester 2
STAT210 2026, 2027 Applied Statistics 18 points Semester 1
STAT260 2026 Visualisation and Modelling in R 18 points Semester 2
STAT270 2026, 2027 Probability and Inference 18 points Semester 1
STAT310 2026, 2027 Statistical Modelling 18 points Semester 1
STAT311 2026, 2027 Design of Research Studies 18 points Not offered in 2026, Semester 1
STAT312 2026, 2027 Modelling High Dimensional Data 18 points Semester 2
STAT370 2026, 2027 Statistical Inference 18 points Semester 2
STAT371 2026, 2027 Bayesian Data Analysis 18 points Semester 2
STAT372 2026, 2027 Stochastic Modelling 18 points Semester 1
STAT399 2026, 2027 Special Topic 18 points Not offered in 2026, Not offered in 2027
STAT401 2026, 2027 Applied Statistical Methods and Models 20 points Semester 1
STAT402 2026, 2027 Regression Models for Complex Data 20 points Semester 2
STAT403 2026, 2027 Case Studies in Statistics 20 points Semester 2
STAT404 2026, 2027 Advanced Statistical Inference 20 points Semester 1
STAT405 2026, 2027 Probability and Random Processes 20 points Semester 1
STAT423 2026, 2027 Bayesian Modelling 20 points Semester 2
STAT424 2026, 2027 Research Design and Methods 20 points Not offered in 2026, Semester 1
STAT425 2026, 2027 Statistical Learning 20 points Semester 2
STAT435 2026, 2027 Data Analysis for Bioinformatics 20 points Semester 1
STAT441 2026, 2027 Topic in Advanced Statistics 20 points Semester 2, Not offered in 2027
STAT442 2026, 2027 Topic in Advanced Statistics 20 points Not offered in 2026, Not offered in 2027
STAT490 2026, 2027 Dissertation 40 points Full Year, 1st Non standard period (13 July 2026 - 25 June 2027), 1st Non standard period (12 July 2027 - 21 June 2028)
STAT498 2026, 2027 Special Topic 20 points Not offered in 2026, Not offered in 2027
STAT499 2026, 2027 Special Topic 20 points Not offered in 2026, Not offered in 2027

More information

Have a question or need support? AskOtago can connect you with the right team for personalised help.


This information must be read subject to the statement on our Copyright & Disclaimer page.

Regulations on this page are taken from the 2026 Calendar and supplementary material.

Not sure what to study?


Take our short quiz to uncover study options matched to your background and interests.

Take the quiz
Undergraduate student
Back to top