Statistics (2023)

Statistics is available as a minor.

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

On this page

• Prescriptions for the GradCert(Stats) and GradDip(Stats)
• Prescriptions for the PGCert(Stats), PGDip(Stats), BSc(Hons), MSc and MSc(Res)[1]
• Prescriptions for the MPhil
• Prescriptions for the PhD
• 100 Level
• 200 Level
• 300 Level
• 500 Level
• 800 Level
• 900 Level

• 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 Division of Health, Engineering, Computing and Science Office.

• Prescriptions for the PGCert(Stats), PGDip(Stats), BSc(Hons), MSc and MSc(Res)[1]

  The paper DATAX520 is normally available only for 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 Head of School. 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 DATAX591).

  To complete an MSc in Statistics, students admitted under section 2(a) of the MSc regulations must complete 180 points at 500 level including DATAX592 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 DATAX594 and 60 points from papers listed for Statistics.

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

  [1] The PGCert(Stats), PGDip(Stats), MSc and MSc(Res) will not be offered from 1 July 2023.

• 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	Points	Occurrence / Location
  CSMAX101	The World of Data	15.0	23B (Hamilton)
  This paper teaches students how to build datasets for analysis in health science, and critically evaluate and effectively present the results of such analyses, using commonly used software such as Excel, R, and SPSS. Students are introduced to issues of privacy, and cultural considerations for Maori and Indigenous health.
  DATAX111	Statistics for Science	15.0	23B (Hamilton) & 23B (Tauranga)
  An introductory paper in statistics that uses Microsoft Excel. Topics include the collection and presentation of data, basic principles of experimental design, hypothesis testing, regression and the analysis of categorical data.
  DATAX121	Introduction to Statistical Methods	15.0	23A (Hamilton) & 23A (Secondary School - Unistart)
  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	Points	Occurrence / Location
  DATAX201	Practical Data Science	15.0	23B (Hamilton), 23B (Online) & 23B (Tauranga)
  This paper gives students practical experience for the entire data science process. It covers the data collection process, data cleaning and manipulation, and data visualisation and presentation.
  DATAX221	Statistical Data Analysis	15.0	23A (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.
  DATAX222	Principles of Probability and Statistics	15.0	23B (Hamilton)
  This paper introduces the theoretical background that underpins modern probability and statistics. Topics include discrete probability and mathematical statistics from a frequentist and Bayesian viewpoint.

• 300 Level

  Code	Paper Title	Points	Occurrence / Location
  DATAX321	Advanced Data Analysis	15.0	23B (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.
  DATAX322	Probability and Stochastic Processes	15.0	23A (Hamilton)
  This paper introduces students to probability theory and stochastic processes. It covers formally the theoretical foundations of probability, random variables, statistics, stochastic processes and Markov chains.
  DATAX323	Design and Analysis of Experiments and Surveys	15.0	23A (Hamilton)
  This paper outlines the principles and practicalities of designing and analysing experiments and surveys, with emphasis on the design.
  DATAX390	Directed Study	15.0	23A (Hamilton) & 23B (Hamilton)
  No description available.
  DATAX391	Undergraduate Research Project	30.0	23A (Hamilton), 23B (Hamilton), 23D (Hamilton) & 23X (Hamilton)
  Students carry out an independent research project on an approved topic under staff supervision.
  DATAX397	Work-Integrated Learning Directed Study	15.0	23X (Hamilton)
  Students carry out an independent work-related project on an approved topic under staff supervision.

• 500 Level

  Code	Paper Title	Points	Occurrence / Location
  DATAX520	Dissertation	45.0	23X (Hamilton)
  A directed investigation and report on an approved project or study topic.
  DATAX525	Topics in Statistics	30.0	23A (Hamilton)
  This paper will discuss advanced topics in statistics. The exact topics covered could change subject to the preference and research expertise of the academic staff. Students preferences may also be taken into account.
  DATAX590	Directed Study	30.0	23B (Hamilton)
  Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.
  DATAX591	Dissertation	30.0	23X (Hamilton)
  A report on the findings of a theoretical or empirical investigation.
  DATAX592	Dissertation	60.0	23X (Hamilton)
  A report on the findings of a theoretical or empirical investigation.
  DATAX593	Statistics Thesis	90.0	23X (Hamilton)
  An externally examined piece of written work that reports on the findings of supervised research.
  DATAX594	Statistics Thesis	120.0	23X (Hamilton)
  An externally examined piece of written work that reports on the findings of supervised research.

• 800 Level

  Code	Paper Title	Points	Occurrence / Location
  DATAX800	Statistics MPhil Thesis	120.0	23X (Hamilton)
  No description available.

• 900 Level

  Code	Paper Title	Points	Occurrence / Location
  DATAX900	Statistics PhD Thesis	120.0	23I (Hamilton), 23J (Hamilton), 23K (Hamilton) & 23X (Hamilton)
  No description available.