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Statistics

Studying Statistics at the University of Waikato will help you to become a critical decision maker in industry.  You'll know how to collect and analyse data to lead organisations to informed decisions rather than just hunches or guesses.

Please note

From 2018 Statistics will be available as a minor and Postgraduate subject. Students interested in Undergraduate Statistics should consider the Data Analytics major.

Good Statistics graduates who can analyse the growing amount of data available to businesses and turn it into meaningful information are in high demand.

Statistical analysis is used to make informed decisions in most areas of human endeavour, such as agriculture, industry and commerce, law, medicine, forestry, psychology, insurance and economics. The current shortage of Statistics graduates and Statistical Analysts has opened up a vast array of opportunities for graduates.  Working as a Statistician often involves working with people from other areas, such those listed above.  You will often be acting as a ‘trouble-shooter.’

At the University of Waikato you will learn about the fundamentals of Statistics, such as the organisation and display of data, including the critical examination of the data sources.  Modelling the variability in data to calculate the reliability of answers is also part of its science.

Waikato's statistical research reputation is significant. You could have the opportunity to work alongside our leading academics in innovative research such as statistical modelling and population genetics. We also offer all honours and graduate students the benefit of one-on-one interaction with supervisors who have considerable experience in teaching theoretical and applied statistics.

Statistics at Waikato is by no means an isolated study.  Students are encouraged to complement Statistics with the other studies including the sciences or finance.

Computing facilities at Waikato

The computing facilities at the University of Waikato are among the best in New Zealand.  Our senior computing laboratory has a network of PCs running Linux and Windows.  All students will have 24 hour access to labs equipped with the latest versions of specialist statistical software packages, including Minitab, R, Mathematica, Matlab and C++.

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Key information

Study Locations:Hamilton, Tauranga
Papers offered differ by location. The Catalogue of Papers has full location info.
Faculty:

Career opportunities

  • Biometrics
  • Business Analyst
  • Government Statistician
  • Industrial Statistician
  • Insurance and Finance
  • Market Researcher
  • Medical Statistician
  • Operational Researcher

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.


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Contacts

Faculty of Computing & Mathematical Sciences

Phone: 0800 924 528 ext: 4322 or +64 7 838 4322
Email: cms@waikato.ac.nz
Website: cms.waikato.ac.nz
Facebook: facebook.com/WaikatoFCMS