Statistics (2018)

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, Graduate Certificate, or Graduate Diploma in 2018 as the major name has been changed to Data Analytics. Students enrolled in 2017 or previously 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 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)

    Students in masters degrees are normally required to take a thesis and a selection of papers. Enrolment in papers towards the BSc(Hons) is only by invitation of the Chairperson. Candidates for these graduate qualifications should select their papers in consultation with the Graduate Adviser of the Department 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 STAT591).

  • 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
    RPLC106Introduction to Statistical Methods RPLThis paper will not be taught in 2018
    This paper will not be taught in 2018
    STAT111Statistics for ScienceThis paper will not be taught in 2018
    This paper will not be taught in 2018
    STAT121Introduction to Statistical MethodsThis paper will not be taught in 2018
    This paper will not be taught in 2018
    STAT160Management StatisticsThis paper will not be taught in 2018
    This paper will not be taught in 2018
  • 200 Level

    Code Paper Title Occurrence / Location
    FCMS296Work PlacementThis paper will not be taught in 2018
    This paper will not be taught in 2018
    STAT221Statistical Data AnalysisThis paper will not be taught in 2018
    This paper will not be taught in 2018
    STAT226Bayesian StatisticsThis paper will not be taught in 2018
    This paper will not be taught in 2018
  • 300 Level

    Code Paper Title Occurrence / Location
    COMP321Practical Data Mining18B (Hamilton) & 18B (Tauranga)
    This paper is a practical introduction to data mining. It covers important aspects of the data mining process such as feature selection, model building, parameter tuning and final evaluation.
    ECON304Econometrics18A (Hamilton)
    Linear regression and binary response analysis of economic and financial data with an emphasis on interpretation, computer applications, and forecasting.
    ECONS303Applied Quantitative Research MethodsThis paper will not be taught in 2018
    This paper will not be taught in 2018
    ENGG381Engineering Statistics18A (Hamilton)
    Aimed specifically at Engineering students, this paper covers statistical models, experimentation for quality design and control, process measurement and improvement, statistical process control and capability, and reliability.
    FCMS396Work Placement18C (Block)
    This paper enables students to undertake work placement in an area related to their major as part of their degree. Students work in a chosen field for a period of time in order to gain valuable work experience and learn from experts in their chosen field.
    STAT321Advanced Data Analysis18B (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.
    STAT323Design and Analysis of Experiments and Surveys18A (Hamilton)
    This paper outlines the principles and practicalities of designing and analysing experiments and surveys, with emphasis on the design.
    STAT326Computational Bayesian Statistics18B (Hamilton)
    Bayesian inference can be performed on random samples from the posterior distribution, even when it is known only in the proportional form. A sample from a candidate distribution can be reshaped, or the sample can be drawn from a Markov chain that has the posterior as its long-run distribution (MCMC). In this paper, the emphasis is...
    STAT352Statistics for Quality Improvement18A (Hamilton)
    This paper covers the fundamentals of quality from a statistical point of view, statistical process control and capability, and process design and improvement, and includes the design of industrial experiments.
    STAT390Directed Study18A (Hamilton), 18B (Hamilton) & 18Y (Hamilton)
    No description available.
  • 500 Level

    Code Paper Title Occurrence / Location
    SCIE501Research Methods in the Sciences18B (Hamilton)
    This paper will enable students to develop the necessary communication skills and familiarity with research methods and practice to allow them to progress to the thesis component of a masters degree in the sciences, or to extend communication and research skills in those not taking a full research degree.
    SCIE502Introductory R Statistics for ScientistsThis paper will not be taught in 2018
    This paper will not be taught in 2018
    STAT502Advanced Quantitative Methods for Security and Crime Science18B (Hamilton)
    This paper considers advanced quantitative techniques that can be used to identify and forecast crime event patterns.
    STAT521Computational Statistics18A (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.
    STAT522Statistical Inference18B (Hamilton)
    Statistical inference will be considered from both the classical and Bayesian perspectives.
    STAT525Topics in Statistics18A (Hamilton)
    No description available.
    STAT531Multivariate Analysis18B (Hamilton)
    This paper will develop skills in the use of statistical packages for data analysis and modelling and an understanding of the key inferential concepts of interval estimation, significance testing, and model selection. The emphasis is on observational rather than experimental data.
    STAT533Study Design and Statistical Inference18A (Hamilton)
    This paper outlines the principles and practicalities of designing and analysing experiments and surveys, with emphasis on the design. The concepts of statistical inference are presented, with an emphasis on estimation.
    STAT536Bayesian Inference18B (Hamilton)
    This paper extends material taught in STAT326 and studies advanced topics in Bayesian methods, including advanced MCMC methods, sequential MC methods, non-MCMC methods, and theoretical foundations of Bayesian inference.
    STAT590Directed Study18C (Hamilton)
    Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.
    STAT591Dissertation18C (Hamilton)
    A report on the findings of a theoretical or empirical investigation.
    STAT592Dissertation18C (Hamilton)
    A report on the findings of a theoretical or empirical investigation.
    STAT593Statistics Thesis18C (Hamilton)
    An externally examined piece of written work that reports on the findings of supervised research.
    STAT594Statistics Thesis18C (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 Thesis18C (Hamilton)
    No description available.
  • 900 Level

    Code Paper Title Occurrence / Location
    STAT900Statistics PhD Thesis18C (Hamilton) & 18D (Hamilton)
    No description available.

2018 Catalogue of Papers information current as of : 19 July 2018 11:44am

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