BSc - Statistics as a major
Second Major
Statistics is available as a minor and postgraduate subject. Students interested in undergraduate Statistics should consider the Data Analytics major.
If you're intrigued by the natural world around you, or enjoy understanding how things work, Waikato's Bachelor of Science (BSc) is what you're looking for. Putting into practice what you learn in your lectures is a major part of this degree. You will gain hands-on experience with some of the most up-to-date and high-tech computing facilities and laboratory equipment.
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.
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Key information
Years: | 3 |
---|---|
Points: | 360 |
Start Dates: | Trimester A (March) and Trimester B (July) |
Estimated Fees* (Domestic): | $7,821 per year |
Estimated Fees* (International): | $36,830 - $38,305 per year |
Entry Requirements: | Undergraduate International |
Area of Study: | |
All amounts are in New Zealand Dollars (NZD). *Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment please see the Table of Fees and Charges for more information. You will be sent an enrolment agreement which will confirm your fees. |
Career opportunities
- Biometrics
- Business Analyst
- Government Statistician
- Industrial Statistician
- Insurance and Finance
- Market Researcher
- Medical Statistician
- Operational Researcher
Degree Planner
Papers
Papers available within Statistics
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 DATAX coded papers, including at least 30 points above 100 level.
100 Level
Code | Paper Title | Points | Occurrence / Location |
---|---|---|---|
CSMAX101 | The World of Data | 15.0 | 24A (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... | |||
DATAX111 | Statistics for Science | 15.0 | 24B (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. | |||
DATAX121 | Introduction to Statistical Methods | 15.0 | 24A (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 |
---|---|---|---|
DATAX201 | Practical Data Science | 15.0 | 24B (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. | |||
DATAX221 | Statistical Data Analysis | 15.0 | 24A (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 | 24B (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 | 24B (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 | 24A (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. | |||
DATAX390 | Directed Study | 15.0 | 24A (Hamilton) & 24B (Hamilton) |
A directed study on an approved topic in Data Analytics. | |||
DATAX391 | Undergraduate Research Project | 30.0 | 24A (Hamilton), 24B (Hamilton), 24D (Hamilton) & 24X (Hamilton) |
Students carry out an independent research project on an approved topic under staff supervision. | |||
DATAX397 | Work-Integrated Learning Directed Study | 15.0 | 24X (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 | 24X (Hamilton) |
A directed investigation and report on an approved project or study topic. | |||
DATAX525 | Topics in Statistics | 30.0 | 24A (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 | 24B (Hamilton) |
Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff. | |||
DATAX591 | Dissertation | 30.0 | 24X (Hamilton) |
A report on the findings of a theoretical or empirical investigation. | |||
DATAX592 | Dissertation | 60.0 | 24X (Hamilton) |
A report on the findings of a theoretical or empirical investigation. | |||
DATAX593 | Statistics Thesis | 90.0 | 24X (Hamilton) |
An externally examined piece of written work that reports on the findings of supervised research. | |||
DATAX594 | Statistics Thesis | 120.0 | 24X (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 | 24X (Hamilton) |
No description available. |
900 Level
Code | Paper Title | Points | Occurrence / Location |
---|---|---|---|
DATAX900 | Statistics PhD Thesis | 120.0 | 24I (Hamilton), 24J (Hamilton), 24K (Hamilton) & 24X (Hamilton) |
No description available. |
Scholarships and prizes
Selected scholarships for Statistics students.
New to Waikato? The International Excellence Scholarship is worth up to $10,000.
Looking for more scholarships?
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