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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++.

Apply to enrol

Key information

Study Locations: Hamilton; Tauranga
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)

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.

Nick Lim Waikato University was the most appealing university due to the affordable price and its top research for Computer Science and Statistics.

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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