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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:

Statistics is 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.
Area of Study:

Career opportunities

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

100 Level

Code Paper Title Points Occurrence / Location
CSMAX101The World of Data15.024A (Hamilton)
This paper introduces students to tools used in analysing datasets, focusing on health science applications and publicly available data on New Zealand. Students will learn how to use these tools to generate the appropriate results and be able to critically evaluate results presented in the media as well as scientific articles. Stud...
DATAX111Statistics for Science15.024B (Hamilton), 24B (Tauranga) & 24C (Hamilton Waikato College)
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.
DATAX121Introduction to Statistical Methods15.024A (Hamilton), 24A (Secondary School - Unistart) & 24X (Hainan University, Haikou, China)
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
DATAX201Practical Data Science15.024B (Hamilton), 24B (Online) & 24B (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.
DATAX221Statistical Data Analysis15.024A (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.
DATAX222Principles of Probability and Statistics15.024B (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
DATAX321Advanced Data Analysis15.024B (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.
DATAX322Probability and Stochastic Processes15.024A (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.
DATAX390Directed Study15.024A (Hamilton) & 24B (Hamilton)
A directed study on an approved topic in Data Analytics.
DATAX391Undergraduate Research Project30.024A (Hamilton), 24B (Hamilton), 24D (Hamilton) & 24X (Hamilton)
Students carry out an independent research project on an approved topic under staff supervision.
DATAX397Work-Integrated Learning Directed Study15.024X (Hamilton)
Students carry out an independent work-related project on an approved topic under staff supervision.

500 Level

Code Paper Title Points Occurrence / Location
DATAX520Dissertation45.024X (Hamilton)
A directed investigation and report on an approved project or study topic.
DATAX525Topics in Statistics30.024A (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.
DATAX590Directed Study30.024B (Hamilton)
Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.
DATAX591Dissertation30.024X (Hamilton)
A report on the findings of a theoretical or empirical investigation.
DATAX592Dissertation60.024X (Hamilton)
A report on the findings of a theoretical or empirical investigation.
DATAX593Statistics Thesis90.024X (Hamilton)
An externally examined piece of written work that reports on the findings of supervised research.
DATAX594Statistics Thesis120.024X (Hamilton)
An externally examined piece of written work that reports on the findings of supervised research.

800 Level

Code Paper Title Points Occurrence / Location
DATAX800Statistics MPhil Thesis120.024X (Hamilton)
No description available.

900 Level

Code Paper Title Points Occurrence / Location
DATAX900Statistics PhD Thesis120.024I (Hamilton), 24J (Hamilton), 24K (Hamilton) & 24X (Hamilton)
No description available.

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Contacts

School of Computing and Mathematical Sciences
Phone: 0800 924 528 or +64 7 838 4625

Email: [email protected]
Website: cms.waikato.ac.nz
Facebook: https://www.facebook.com/WUcms