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    Discover the power of data and turn raw information into real impact.

    Why study Data Science?

    Data is everywhere: in our phones, cities, health systems and the way business works. At Otago, we believe studying Data Science gives you a front-row seat to making sense of that flood of information. Here you’ll combine computer science, information science and statistics to ask meaningful questions and create answers that matter.

    Learn how to wrangle messy data, visualise insights, build models and present results that people can act on. Whether you’re fascinated by how streaming services recommend content, or how public health data shapes policy, you’ll build the skills to drive decisions. And because data touches nearly every field, from commerce to biotechnology, sport to government, you’ll leave with flexibility, purpose and broad career options.

    Career opportunities

    Get ready to launch into a world of possibilities. With your Data Science background, you’re equipped for roles that demand analytical thinking, digital fluency and the ability to drive insight from data.

    Career pathways include:

    • Data analyst or data scientist roles in business, government or research
    • Data visualisation and insight specialist
    • Machine learning or statistical modelling developer
    • Business intelligence or data-driven decision-making consultant
    • Developer of data tools and infrastructure in tech, health, education or industry

    How you will learn

    Studying Data Science at Otago is dynamic and hands-on. You’ll attend lectures and tutorials, but you’ll also spend plenty of time in practical labs where you’ll code, visualise and build models.

    You’ll collaborate with your peers on projects that mirror real-life scenarios: cleaning messy data, building predictive models, working in teams, and presenting insights so others can act on them. You’ll feel a part of the Otago community and your tutors aren’t just teachers, they’re active researchers and practitioners. The emphasis on combining disciplines means you’ll always see how Data Science connects to other areas you are interested in.

    Recommended high school subjects for undergraduate study

    There are no formal prerequisites. However, NCEA subjects like digital technology, Level 3 mathematics, and statistics are useful for building the skills and confidence needed to succeed in the programme.

    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.

    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.

    Decode the future with Data Science

    Step into a world where you don’t just use data, you shape it. At University of Otago, we bring together computer science and statistics in a Data Science programme designed for impact. You’ll work with real data, tackle real problems and connect your learning to the things you care about.
    With expert staff who are active researchers, modern facilities and a campus vibe that supports bold ideas and collaboration, you’ll join a community that’s curious, ambitious and ready to dig in. Whether you see yourself influencing business, health, environment or technology, Otago gives you the toolkit, the support and the setting to decode the future and contribute meaningfully to today’s data-driven world.

    Programme details

    Compare programmes for this subject.

    2025

    YearPapersPoints
    100-level COMP 101 Foundations of Information Systems 18
    COMP 120 Practical Data Science 18
    COMP 161 Computer Programming 18
    COMP 162 Foundations of Computer Science 18
    STAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics

    Note: Students are exempt from COMP 161 if they have gained entry to COMP 162 by passing COMP 151 with a grade of at least B or via an Advanced Placement Test.
    18
    200-level COSC 201 Algorithms and Data Structures 18
    INFO 204 Introduction to Data Science 18
    STAT 210 Applied Statistics 18
    STAT 260 Visualisation and Modelling in R 18
    300-level COSC 343 Artificial Intelligence 18
    INFO 304 Advanced Data Science 18
    STAT 312 Modelling High Dimensional Data 18
    One of COSC 344 Database Theory and Applications, STAT 310 Statistical Modelling 18
    Plus 126 further points. Up to 90 points may be taken from outside Arts. 126
    Total 360

    2026 onwards

    YearPapersPoints
    100-level MATH 130 Fundamentals of Modern Mathematics 18
    COMP 121 Computer Programming 18
    STAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics 18
    DHUM 101 or one of PHIL 103, SOCI 102; MAOR 102, ANTH 105, POPH 192, BSNS 111 18
    200-level DATA 201 R for Statistics and Data Science 18
    DATA 202 Database Systems 18
    STAT 210 Applied Statistics 18
    COMP 220 Applied Programming Techniques 18
    300-level DATA 301  Applied Data Science 18
    DATA 302 Statistical Learning 18
    DHUM 303 When Machines Decide 18
    STAT 310 Statistical Modelling 18
    Plus 144 further points. Up to 90 points may be taken from outside Arts. 144
    Total 360

    YearPapersPoints
    100-level MATH 130 Fundamentals of Modern Mathematics 18
    COMP 121 Computer Programming 18
    STAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics 18
    One of:
    DHUM 101(Highly recommended), PHIL 103, SOCI 102MAOR 102, ANTH 105, POPH 192 , BSNS 111
    18
    200-level DATA 201 R for Statistics and Data Science 18
    DATA 202 Database Systems 18
    STAT 210 Applied Statistics 18
    COMP 220 Applied Programming Techniques 18
    300-level DATA 301  Applied Data Science 18
    DATA 302 Statistical Learning 18
    DHUM 303 When Machines Decide 18
    STAT 310 Statistical Modelling 18
    Plus 144 further points. Up to 90 points may be taken from outside Science. 144
    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.

    LevelPapersPoints
    100-level COMP 121 Computer Programming 18
    One of
    STAT 110
    Statistical Methods or
    STAT 115 Introduction to Biostatistics
    18
    200-level STAT 210 Applied Statistics 18
    One of
    COMP 220 Applied Programming Techniques or
    DATA 201  R for Statistics and Data Science
    18
    300-level One of
    DATA 301 Applied Data Science
    DATA 302 Statistical Learning
    18
    Total 90

    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

    INFO papers

    Paper Code Year Title Points Teaching period
    INFO203 2026 Human-Computer Interaction and User Experience 18 points Semester 1
    INFO204 2026 Introduction to Data Science 18 points Semester 2
    INFO250 2026 Special Topic 18 points Not offered in 2026
    INFO302 2026 Information Systems Strategy and Governance 18 points Semester 1
    INFO304 2026 Advanced Data Science 18 points Semester 2
    INFO305 2026 Advanced Human-Computer Interaction and Interactive Systems 18 points Not offered in 2026
    INFO310 2026 Software Project Management 18 points Semester 1
    INFO350 2026 Topics in Information Science 18 points Not offered in 2026
    INFO351 2026 Special Topic 18 points Not offered in 2026
    INFO352 2026 Special Topic 18 points Not offered in 2026
    INFO353 2026 Special Topic 18 points Not offered in 2026
    INFO390 2026 Research Topics 18 points Not offered in 2026
    INFO410 2026 Interactive and Immersive Systems 20 points Not offered in 2026
    INFO420 2026 Statistical Techniques for Data Science 20 points Semester 2
    INFO424 2026 Adaptive Business Intelligence 20 points Semester 1
    INFO451 2026 Special Topic 20 points Not offered in 2026
    INFO452 2026 Special Topic 20 points Not offered in 2026
    INFO470 2026 Advanced Topics in Information Science 20 points Not offered in 2026
    INFO490 2026 Dissertation 40 points Full Year
    INFO501 2026 Applied Project 40 points 1st Non standard period (23 February 2026 - 12 February 2027), 2nd Non standard period (13 July 2026 - 2 July 2027)
    INFO580 2026 Research Project 40 points 1st Non standard period (23 February 2026 - 12 February 2027), 2nd Non standard period (13 July 2026 - 2 July 2027), 3rd Non standard period (13 July 2026 - 2 July 2027)

    COSC papers

    Paper Code Year Title Points Teaching period
    COSC201 2026 Algorithms and Data Structures 18 points Semester 1
    COSC202 2026 Software Development 18 points Semester 1
    COSC203 2026 Web, Databases, and Networks 18 points Semester 2
    COSC204 2026 Computer Systems 18 points Semester 2
    COSC301 2026 Network Management and Security 18 points Semester 1
    COSC312 2026 Cryptography and Security 18 points Semester 2
    COSC326 2026 Computational Problem Solving 18 points Semester 1
    COSC341 2026 Theory of Computing 18 points Semester 1
    COSC342 2026 Visual Computing: Graphics & Vision 18 points Semester 1
    COSC343 2026 Artificial Intelligence 18 points Semester 2
    COSC344 2026 Database Theory and Applications 18 points Semester 1
    COSC345 2026 Software Engineering 18 points Semester 2
    COSC349 2026 Cloud Computing Architecture 18 points Semester 2
    COSC360 2026 Computer Game Design 18 points Summer School
    COSC385 2026 Research Project 18 points Summer School, Semester 1, Semester 2
    COSC402 2026 Advanced Computer Networks 20 points Semester 2
    COSC412 2026 Advanced Cryptography and Security 20 points Semester 2
    COSC440 2026 Advanced Operating Systems 20 points Semester 2
    COSC470 2026 Special Topic 20 points Not offered in 2026
    COSC471 2026 Approved Special Paper 20 points Not offered in 2026

    COMP papers

    Paper Code Year Title Points Teaching period
    COMP101 2026 Foundations of Information Systems 18 points Summer School
    COMP121 2026 Computer Programming 18 points Semester 1, Semester 2
    COMP122 2026 Foundations of Computer Science 18 points Summer School, Semester 2
    COMP210 2026 Information Assurance 18 points Semester 2
    COMP421 2026 Machine Learning and Data Mining 20 points Semester 2
    COMP422 2026 Applied Artificial Intelligence 20 points Semester 2
    COMP423 2026 Deep Learning 20 points Semester 1
    COMP424 2026 Information Retrieval and Natural Language Processing 20 points Semester 1
    COMP425 2026 Advanced Visual Computing 20 points Semester 1
    COMP427 2026 Agent-based Software Technologies 20 points Semester 2
    COMP480 2026 Applied Project 40 points Full Year
    COMP490 2026 Dissertation 40 points Full Year
    DATA101 2026 Data Processing and Visualisation 18 points Semester 1
    DATA403 2026 Data Management 20 points Semester 1
    DATA404 2026 Management of Large-Scale Data 20 points Semester 1

    More information

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

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