Statistics (2019)

Statistics is the science of collecting and interpreting data subject to uncertainty. We live in a world where variability is everywhere. To make informed decisions we must understand the nature of variability, and make use of meaningful information. Without data we have to resort to hunches or guesses, neither of which can be relied on. Statistics tells us how to deal with variability, and how to collect and use data so that we can make good decisions.

Statistics is available as a minor. To complete a minor in Statistics, students must complete 60 points of STATS coded papers, including at least 30 points above 100 level.

Note: There will be no new enrolments in the Statistics major as the major name has been changed to Data Analytics. Students enrolled in 2018 or previously in the Statistics major should consult the Faculty of Computing and Mathematical Sciences for programme advice. Please refer to the Data Analytics subject for further information.

Note on Assessment: To be eligible to pass these papers students should normally achieve a minimum grade of D in the internal assessment and the final examination, and an overall grade of C. Because of the technical nature of the terminology and accepted international protocol, the Department of Mathematics and Statistics requires that all assessment for all papers be presented in English. Payment for translation will not be available from the Department.


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  • Prescriptions for the GradCert(Stats) and GradDip(Stats)

    A Graduate Certificate and Graduate Diploma are available to graduates who have not included Statistics at an advanced level in their first degree.

    For further details, contact the Faculty of Computing and Mathematical Sciences Office.

  • Prescriptions for the PGCert(Stats), PGDip(Stats), BSc(Hons), MSc and MSc(Research)

    The paper STATS520 is normally available for only the BCMS(Hons) degree.

    To complete a PGCert(Stats), students must complete 60 points at 500 level consisting of 60 points from papers listed for Statistics.

    To complete a PGDip(Stats), students must complete 120 points at 500 level including at least 90 points from papers listed for Statistics.

    Enrolment in papers towards the BSc(Hons) is only by invitation of the Convenor of Statistics. To complete a BSc(Hons) in Statistics, students must complete 120 points at 500 level, including at least 60 points from the papers listed for Statistics, of which at least 30 points must be in research (normally STATS591).

    To complete an MSc in Statistics, students admitted under section 2(a) of the MSc regulations must complete 180 points at 500 level including STATS592 and at least 60 points from papers listed for Statistics.

    To complete an MSc (Research) in Statistics, students admitted under section 2(a) of the MSc (Research) regulations must complete 180 points at 500 level consisting of STATS594 and 60 points from papers listed for Statistics.

    Candidates for these graduate qualifications should select their papers in consultation with the Graduate Adviser in Statistics of the Department of Mathematics and Statistics.

  • Prescriptions for the MPhil

    The Master of Philosophy is a one year research-based degree in which students undertake a programme of approved and supervised research that leads to a thesis which critically investigates an approved topic of substance and significance, demonstrates expertise in the methods of research and scholarship, displays intellectual independence and makes a substantial original contribution to the subject area concerned, and is of publishable quality.

  • Prescriptions for the PhD

    The Doctor of Philosophy is a three year research-based degree in which students undertake a programme of approved and supervised research that leads to a thesis which critically investigates an approved topic of substance and significance, demonstrates expertise in the methods of research and scholarship, displays intellectual independence and makes a substantial original contribution to the subject area concerned, and is of publishable quality.

  • 100 Level

    Code Paper Title Occurrence / Location
    STATS111Statistics for Science19B (Hamilton), 19B (Tauranga) & 19C (Tauranga)
    This paper provides a first course in statistics for students in the Faculty of Science and Engineering. Microsoft Excel is used throughout. Topics include the collection and presentation of data, basic principles of experimental design, hypothesis testing, regression and the analysis of categorical data.
    STATS121Introduction to Statistical Methods19A (Hamilton)
    An introduction to statistical data collection and analysis. Topics include general principles for statistical problem solving; some practical examples of statistical inference; and the study of relationships between variables using regression analysis.
  • 200 Level

    Code Paper Title Occurrence / Location
    STATS221Statistical Data Analysis19A (Hamilton)
    This paper introduces students to the R programming language which is used to investigate a collection of real data sets. Analysis of variance, multiple regression, non parametric methods and time series are covered.
    STATS226Bayesian Statistics19B (Hamilton)
    This paper introduces statistical methods from a Bayesian perspective, which gives a coherent approach to the problem of revising beliefs given relevant data. It is particularly relevant for data analytics, statistics, mathematics and computer science.
  • 300 Level

    Code Paper Title Occurrence / Location
    STATS321Advanced Data Analysis19B (Hamilton)
    This paper covers the use of statistical packages for data analysis and modelling. The emphasis is on observational rather than experimental data. The topics covered are regression modelling and its generalisations, and multivariate analysis.
    STATS322Probability and Mathematical Statistics19A (Hamilton)
    This paper introduces students to probability theory and the mathematical theory of statistics. It covers formally the theoretical foundations of probability, random variables, likelihood and estimation, statistics, and statistical inference.
    STATS323Design and Analysis of Experiments and Surveys19A (Hamilton)
    This paper outlines the principles and practicalities of designing and analysing experiments and surveys, with emphasis on the design.
    STATS326Computational Bayesian Statistics19B (Hamilton)
    Bayesian approach has the potential to model any complex real life problem. In practice, Bayesian methods are implemented using various computational algorithms. This paper introduces the basics of some of the most widely used computational methods, viz the ABC method and the MCMC methods.
    STATS390Directed Study19A (Hamilton) & 19B (Hamilton)
    Students carry out an independent research project on an approved topic under staff supervision.
    STATS391Undergraduate Research Project19A (Hamilton), 19B (Hamilton), 19C (Hamilton) & 19Y (Hamilton)
    Students carry out an independent research project on an approved topic under staff supervision.
  • 500 Level

    Code Paper Title Occurrence / Location
    STATS501Quantitative Methods for Security and Crime Science19A (Hamilton)
    This paper considers quantitative techniques that can be used to analyse crime data.
    STATS502Advanced Quantitative Methods for Security and Crime Science19B (Hamilton)
    This paper considers advanced quantitative techniques that can be used to identify and forecast crime event patterns.
    STATS521Computational Statistics19A (Hamilton)
    This paper covers maximum likelihood estimation, and the fitting of advanced regression models including non-linear models, mixture models and their generalisations. It will take a practical approach stressing the use of R packages and WinBugs or OpenBugs Bayesian software.
    STATS522Statistical Inference19B (Hamilton)
    Statistical inference will be considered from both the classical and Bayesian perspectives.
    STATS525Topics in Statistics19C (Hamilton)
    No description available.
    STATS590Directed Study19C (Hamilton)
    Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.
    STATS591Dissertation19C (Hamilton)
    A report on the findings of a theoretical or empirical investigation.
    STATS592Dissertation19C (Hamilton)
    A report on the findings of a theoretical or empirical investigation.
    STATS593Statistics Thesis19C (Hamilton)
    An externally examined piece of written work that reports on the findings of supervised research.
    STATS594Statistics Thesis19C (Hamilton)
    An externally examined piece of written work that reports on the findings of supervised research.
  • 800 Level

    Code Paper Title Occurrence / Location
    STAT800Statistics MPhil Thesis19C (Hamilton)
    No description available.
  • 900 Level

    Code Paper Title Occurrence / Location
    STAT900Statistics PhD Thesis19C (Hamilton)
    No description available.

2019 Catalogue of Papers information current as of : 14 December 2018 12:01pm

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