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    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 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.

    Up to 90 points may be taken from outside Science

    Other papers approved by the Head of Department may be substituted for up to two papers at either 200- or 300-level
    162
    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-levelSTAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics

    Note: If BSNS 112 is required for a student's major they may substitute BSNS 112 for (STAT110 or STAT115). Students who have taken BSNS 102 or 112 prior to declaring Mathematical Statistics as a minor may substitute BSNS 102 or 112 for STAT 110 or 115.

    18
    Above 100-level

    STAT 270 Probability and Inference

    Three of:

    Note: MATH 130 is required as a pre-requisite for STAT 270, and MATH 140 is required as a prerequisite for STAT 370.

    18

    54

    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 Statistical Methods 18 points Summer School, Semester 1
    STAT115 2026 Introduction to Biostatistics 18 points Semester 2
    STAT210 2026 Applied Statistics 18 points Semester 1
    STAT260 2026 Visualisation and Modelling in R 18 points Semester 2
    STAT270 2026 Probability and Inference 18 points Semester 1
    STAT310 2026 Statistical Modelling 18 points Semester 1
    STAT311 2026 Design of Research Studies 18 points Not offered in 2026
    STAT312 2026 Modelling High Dimensional Data 18 points Semester 2
    STAT370 2026 Statistical Inference 18 points Semester 2
    STAT371 2026 Bayesian Data Analysis 18 points Semester 2
    STAT372 2026 Stochastic Modelling 18 points Semester 1
    STAT399 2026 Special Topic 18 points Not offered in 2026
    STAT401 2026 Applied Statistical Methods and Models 20 points Semester 1
    STAT402 2026 Regression Models for Complex Data 20 points Semester 2
    STAT403 2026 Case Studies in Statistics 20 points Semester 2
    STAT404 2026 Advanced Statistical Inference 20 points Semester 1
    STAT405 2026 Probability and Random Processes 20 points Semester 1
    STAT423 2026 Bayesian Modelling 20 points Semester 2
    STAT424 2026 Research Design and Methods 20 points Not offered in 2026
    STAT425 2026 Statistical Learning 20 points Semester 2
    STAT435 2026 Data Analysis for Bioinformatics 20 points Semester 1
    STAT441 2026 Topic in Advanced Statistics 20 points Semester 2
    STAT442 2026 Topic in Advanced Statistics 20 points Not offered in 2026
    STAT490 2026 Dissertation 40 points Full Year
    STAT498 2026 Special Topic 20 points Not offered in 2026
    STAT499 2026 Special Topic 20 points Not offered in 2026

    More information

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

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