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    The science of learning from data.

    Changes to science masters’ degrees from 2027

    From 2027, our science masters' degrees are changing. The Master of Science and Master of Applied Science will be renamed to the Master of Science (Thesis) and Master of Science (Applied).

    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.

    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.


    Are you just starting uni?

    Learn about studying Data Science as an undergraduate at Otago.

    Choose a study option

    Whether you are advancing your career with our specialised graduate qualifications or pursuing in-depth research and expertise through our postgraduate programmes, Otago is here to support your aspirations.

    Postgraduate qualifications

    Honours, masters’, PhDs, and other advanced degrees for graduates. Just one additional year of study will earn you a valuable postgraduate degree. Or perhaps you want the depth of a full year of research-only time during a master’s or to step up to a PhD.

    Graduate qualifications

    Our graduate qualifications are crafted to transition students from foundational studies to advanced, specialised knowledge.

    Ready to apply?

    Take your expertise to the next level with advanced study.

    Programme details

    Compare programmes for this subject.

    This qualification will be offered from 2027.

    Papers
    • COMP 421 Machine Learning and Data Mining
    • COMP 428 High Performance Scientific Computing
    • DATA 490 Dissertation
    • 20 points from 400-level STAT
    • 20 points from 400-level COMP, DATA, QGEN, STAT, or approved papers at 400-level or above.
    • Prerequisites:
      STAT 270 Probability and Inference
      Five 300-level papers including DATA 301, DATA 302, STAT 310, DHUM 303

    This qualification will be offered from 2027.

    Papers
    • COMP 421 Machine Learning and Data Mining

    • COMP 428  High Performance Scientific Computing

    • STAT 401 Applied Statistical Methods and Models

    • DATA 490 Dissertation

    • 20 points from 400-level COMP, DATA, QGEN, STAT, or approved papers at 400-level or above.

    • Note: If STAT 270 and 310 have been previously completed, this can be substituted by 20 points from 400-level STAT.

    Papers

    Papers and Thesis
    • COMP 421 Machine Learning and Data Mining
    • COMP 428  High Performance Scientific Computing (Offered from 2027)
    • DATA 490 Dissertation (Offered from 2027)
    • 20 points from 400-level STAT
    • Further 20 points from 400-level COMP, DATA, QGEN, STAT, or approved papers at 400-level or above.
    • Thesis:  DATA 5

    Contacts

    Matthew Parry
    Department of Mathematics and Statistics
    Tel +64 3 479 7780
    Email matthew.parry@otago.ac.nz

    Grant Dick
    School of Computing
    Tel +64 3 479 8180
    Email grant.dick@otago.ac.nz

    Brendan McCane
    School of Computing
    Tel +64 3 479 8588
    Email brendan.mccane@otago.ac.nz


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

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