Te Tari Pāngarau me te Tatauranga
Department of Mathematics & Statistics


400 level (postgraduate)

Not all papers shown here will be available in any one year. Additional papers may be offered. Check with the Director of Studies for a confirmed list of modules that are running, their prerequisites and semester.

INFO420 Statistical Techniques for Data Science   20 points   Second Semester

This paper is compulsory for the Master of Business Data Science.

An introduction to statistical modelling and multivariate analysis that includes generalised linear models and procedures for analysing patterns in multiple quantitative measurements. The paper combines background theory with practice in applying the methods to real datasets.

QGEN401 Quantitative Genetics and Improvement   20 points   Second Semester

This paper is compulsory for the Masters of Applied Sciences (Quantitative Genetics).

Quantitative genetics is a suite of statistical methods used to understand the basis of complex genetic inheritance. It is used extensively in primary sector breeding and research, and increasingly in both medical research and endangered species recovery programmes. This paper provides an introduction in commonly-used methods including both the underpinning theory, and application to real life datasets. Topics include genetic parameter estimation, prediction of breeding values, breeding programme design, and analyses of genomic data. The paper also includes an introduction into NZ-specific applications in primary, health and environmental sectors.

STAT401 Applied Statistical Methods and Models   20 points   First Semester

Theory and methods of statistics, with applications.

STAT402 Regression Models for Complex Data   20 points   Second Semester

Topics include generalized linear models; methods for handling incomplete data and censored data; survival analysis and methods for analysis of multilevel (including longitudinal) data. Applications to real world data.

STAT403 Case Studies in Statistics   20 points   Second Semester

Application of advanced statistical methods through case studies

STAT404 Advanced Statistical Inference   20 points   First Semester

A core theory paper, examining the foundations of statistical methods of inference in both frequentist and Bayesian settings. It will include classical and modern computer-age methods.

STAT405 Probability and Random Processes   20 points   First Semester

Theory and application of probability and random processes

STAT423 Bayesian Modelling   20 points   Second Semester


STAT424 Research Design and Methods   20 points   First Semester


STAT425 Statistical Learning   20 points   Second Semester


STAT435 Data Analysis for Bioinformatics   20 points   First Semester

The analysis of large data sets is becoming increasingly important in many areas. The techniques covered in this course will be applicable to a wide range of data types, including non-biological data. Exposure to other disciplines (in this case biomedical science) is a must for any applied statistician. Interacting with students from other fields is simulating, and will help you appreciate your statistical skills.

STAT441 Official Statistics   20 points   Second Semester

This course provides an overview of the key areas of Official Statistics. Topics covered include data sources for both sample surveys and administrative data; Census data; the legal and ethical framework of official statistics; an introduction to demography; the collection and analysis of health, social and economic data; data visualisation including presentation of spatial data; confidentiality, data matching and integration; time series; GIS; the system of National Accounts.

Current details can be found at the following link. Note that lectures start on Wednesday 20 July (4:10 to 6pm). The link takes you to the equivalent paper at the University of Auckland as the course is being offerred at several universities using Zoom.

STAT442 Big Data   20 points   First Semester
Not available in 2023

This paper provides an overview of the ideas and methods that are useful when analysing massive datasets. Beginning with regression, this paper introduces penalized methods for regression and then neural networks. Support vector machines are added as a final topic.

STAT490 Honours Project   40 points   First Semester, Full year

A 40-point project in an agreed topic, supervised by one or more staff.

STAT498 Special Topic   20 points   Second Semester
Not available in 2023

The Special Topics paper covers advanced material not included in the normal offerings.

STAT499 Special Topic - Clinical Trials   20 points  
Not available in 2023

Statistical, scientific, ethical, and practical issues in designing, conducting, and reporting randomised trials in humans.