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Study Data Science at Otago

    The science of learning from data.

    Data is at the core of modern society. We are producing it, collecting it, wrangling it, analysing it, modelling it, understanding it, visualising it, using it on a scale that seemed impossible not so long ago.

    Data Science is fundamentally about how we can learn from data and how we can meaningfully use it to improve our world. Studying Data Science leads to opportunities in fields as diverse as banking and biotechnology, entertainment and education, gaming and government, medicine and manufacturing, retail and research.

    Data Science is also a broad area of study. At Otago, the Data Science programme pulls together the best that computer science, information science, and statistics have to offer while stressing application and understanding of the impact of Data Science on society.

    Information on this page is about Data Science as a major for undergraduate science degrees, and as an endorsement for the Diploma for Graduates. The University of Otago also offers the Master of Business Data Science, a one-year postgraduate degree with a strong business focus:

    Master of Business Data Science (MBusDataSc)

    Why study Data Science?

    Data is everywhere and the demand for data scientists is exploding. Data Science is a broad field but it essentially boils down to extracting information from large and complex data sets. Working as a data scientist for an organisation means you will be at the heart of decision-making processes.

    Data Science brings together techniques and methods from computer science, information science, and statistics. This means there are opportunities in areas that particularly interest you, whether it is efficient computation, data storage infrastructure, data analysis or applied machine learning. In addition to problem-solving skills that can be applied to many areas, you will gain valuable communication and data visualisation skills.

    Career opportunities

    There are opportunities for Data Science graduates at all levels of business, industry, government, and science.

    What will I learn?

    Data Science brings together techniques and methods from computer science, information science, and statistics to extract insight from large and complex data sets, and to communicate this acquired knowledge through effective modelling and visualisation.

    You will learn how to acquire, handle and analyse data to solve problems in a wide variety of areas. You will also learn to think critically and ethically about the increasing role Data Science plays in society.

    How will I learn?

    The programme is delivered using lectures, tutorials, and practical labs. Assessment is a combination of assignments, projects, presentations, and exams. There will be opportunities to work in groups.

    Recommended high school subjects for undergraduate study

    Entry into the BSc (BSc) in Data Science is open to anyone, however taking Digital Technology for NCEA is useful and NCEA Level 3 Mathematics and Statistics is helpful.

    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.

    Programme details

    Compare programmes for this subject.

    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 Science. 126
    Total 360

    Papers

    View a list of all related papers below.

    STAT papers

    Paper Code Year Title Points Teaching period
    STAT110 2025 Statistical Methods 18 points Summer School, Semester 1
    STAT115 2025 Introduction to Biostatistics 18 points Semester 2
    STAT210 2025 Applied Statistics 18 points Semester 1
    STAT260 2025 Visualisation and Modelling in R 18 points Semester 2
    STAT270 2025 Probability and Inference 18 points Semester 1
    STAT310 2025 Statistical Modelling 18 points Semester 1
    STAT311 2025 Design of Research Studies 18 points Semester 1
    STAT312 2025 Modelling High Dimensional Data 18 points Semester 2
    STAT370 2025 Statistical Inference 18 points Semester 2
    STAT371 2025 Bayesian Data Analysis 18 points Semester 2
    STAT372 2025 Stochastic Modelling 18 points Semester 1
    STAT399 2025 Special Topic 18 points Not offered in 2025
    STAT401 2025 Applied Statistical Methods and Models 20 points Semester 1
    STAT402 2025 Regression Models for Complex Data 20 points Semester 2
    STAT403 2025 Case Studies in Statistics 20 points Semester 2
    STAT404 2025 Advanced Statistical Inference 20 points Semester 1
    STAT405 2025 Probability and Random Processes 20 points Semester 1
    STAT423 2025 Bayesian Modelling 20 points Semester 2
    STAT424 2025 Research Design and Methods 20 points Semester 1
    STAT425 2025 Statistical Learning 20 points Semester 2
    STAT435 2025 Data Analysis for Bioinformatics 20 points Semester 1
    STAT441 2025 Topic in Advanced Statistics 20 points Semester 2
    STAT442 2025 Topic in Advanced Statistics 20 points Not offered in 2025
    STAT490 2025 Dissertation 40 points Full Year, 1st Non standard period (11 July 2025 - 3 July 2026)
    STAT498 2025 Special Topic 20 points Not offered in 2025
    STAT499 2025 Special Topic 20 points Not offered in 2025

    INFO papers

    Paper Code Year Title Points Teaching period
    INFO130 2025 Fundamentals and practice of spreadsheets 18 points Semester 1, 1st Non standard period (10 November 2025 - 13 December 2025)
    INFO203 2025 Human-Computer Interaction and User Experience 18 points Semester 1
    INFO204 2025 Introduction to Data Science 18 points Semester 2
    INFO250 2025 Special Topic 18 points Not offered in 2025, expected to be offered in 2026
    INFO302 2025 Information Systems Strategy and Governance 18 points Semester 1
    INFO304 2025 Advanced Data Science 18 points Semester 2
    INFO305 2025 Advanced Human-Computer Interaction and Interactive Systems 18 points Not offered in 2025
    INFO310 2025 Software Project Management 18 points Semester 1
    INFO350 2025 Topics in Information Science 18 points Semester 1, Semester 2
    INFO351 2025 Special Topic 18 points Not offered in 2025
    INFO352 2025 Special Topic 18 points Not offered in 2025
    INFO353 2025 Special Topic 18 points Not offered in 2025
    INFO390 2025 Research Topics 18 points Not offered in 2025
    INFO407 2025 Agent-based Software Technologies 20 points Semester 2
    INFO408 2025 Management of Large-Scale Data 20 points Semester 1
    INFO410 2025 Interactive and Immersive Systems 20 points Not offered in 2025
    INFO411 2025 Machine Learning and Data Mining 20 points Semester 2
    INFO420 2025 Statistical Techniques for Data Science 20 points Semester 2
    INFO424 2025 Adaptive Business Intelligence 20 points Semester 1
    INFO451 2025 Special Topic 20 points Not offered in 2025
    INFO452 2025 Special Topic 20 points Not offered in 2025
    INFO470 2025 Advanced Topics in Information Science 20 points Semester 1, Semester 2
    INFO490 2025 Dissertation 40 points Full Year
    INFO501 2025 Applied Project 40 points 1st Non standard period (24 February 2025 - 13 February 2026), 2nd Non standard period (14 July 2025 - 3 July 2026)
    INFO580 2025 Research Project 40 points 1st Non standard period (24 February 2025 - 13 February 2026), 2nd Non standard period (14 July 2025 - 3 July 2026), 3rd Non standard period (14 July 2025 - 3 July 2026)

    COSC papers

    Paper Code Year Title Points Teaching period
    COSC201 2025 Algorithms and Data Structures 18 points Semester 1
    COSC202 2025 Software Development 18 points Semester 1
    COSC203 2025 Web, Databases, and Networks 18 points Semester 2
    COSC204 2025 Computer Systems 18 points Semester 2
    COSC301 2025 Network Management and Security 18 points Semester 1
    COSC312 2025 Cryptography and Security 18 points Semester 2
    COSC326 2025 Computational Problem Solving 18 points Semester 1
    COSC341 2025 Theory of Computing 18 points Semester 1
    COSC342 2025 Visual Computing: Graphics & Vision 18 points Semester 1
    COSC343 2025 Artificial Intelligence 18 points Semester 2
    COSC344 2025 Database Theory and Applications 18 points Semester 1
    COSC345 2025 Software Engineering 18 points Semester 2
    COSC349 2025 Cloud Computing Architecture 18 points Semester 2
    COSC360 2025 Computer Game Design 18 points Summer School
    COSC385 2025 Research Project 18 points Summer School, Semester 1, Semester 2, Full Year
    COSC402 2025 Advanced Computer Networks 20 points Semester 2
    COSC412 2025 Advanced Cryptography and Security 20 points Semester 2
    COSC420 2025 Deep Learning 20 points Semester 1
    COSC431 2025 Information Retrieval 20 points Semester 1
    COSC440 2025 Advanced Operating Systems 20 points Semester 2
    COSC444 2025 Advanced Database Technologies 20 points Semester 1
    COSC450 2025 Computer Vision and Graphics 20 points Semester 2
    COSC470 2025 Special Topic 20 points Not offered in 2025
    COSC471 2025 Approved Special Paper 20 points Not offered in 2025
    COSC480 2025 Applied Project 40 points Full Year
    COSC490 2025 Dissertation 40 points Full Year

    COMP papers

    Paper Code Year Title Points Teaching period
    COMP101 2025 Foundations of Information Systems 18 points Summer School, Semester 2
    COMP111 2025 Information and Communications Technology 18 points Not offered in 2025
    COMP120 2025 Practical Data Science 18 points Semester 1
    COMP151 2025 Programming for Scientists 18 points Semester 1
    COMP161 2025 Computer Programming 18 points Semester 1, Semester 2
    COMP162 2025 Foundations of Computer Science 18 points Summer School, Semester 2
    COMP210 2025 Information Assurance 18 points Semester 2
    COMP270 2025 ICT Fundamentals 15 points Not offered in 2025
    COMP371 2025 ICT Studio 1 15 points Not offered in 2025
    COMP372 2025 ICT Studio 2 15 points Not offered in 2025
    COMP373 2025 ICT Studio 3 15 points Not offered in 2025
    COMP390 2025 ICT Industry Project 30 points Not offered in 2025

    More information

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