Welcome to the Department of Statistics

"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H.G. Wells

Ihaka Lectures

In March 2017 our department inaugurated the highly successful Ihaka Lecture series - themed 'Statistical Computing in the Data Age'. Find out more and watch videos from each of the lectures.

Data to Insight MOOC

Our hugely popular MOOC is running again until 22 May. It offers a hands-on introduction to statistical data analysis, emphasising fundamental concepts and practical skills. Sign up at any time.

  • Estimating the gaps in air pollution data
    21 July 2017
    Department of Statistics doctoral student Fangyao Li is using National Institute of Water and Atmospheric Research (NIWA) to best estimate concentrations of fine particles of air pollution.
  • Telling the stories in shattered glass
    20 July 2017
    Glass is one of the most common types of trace evidence, and, outside of DNA, is the field of evidence interpretation that makes the most use of statistics, explains Department of Statistics PhD student Anjali Gupta.
  • Stargazing with statistics
    19 July 2017
    Dr Brendon Brewer from the Department of Statistics is an astrostatistician, using statistics to determine precisely what stars exist, exactly where they are, and how bright they are.
  • Take 10 with... Dr Yalu Wen
    30 June 2017
    Dr Yalu Wen from the Department of Statistics gives us 10 minutes of her time to discuss big genetic data, and their impact on our understanding and treatment of disease.
  • Mathematical and Computational Sciences Alumni & Postgraduate Showcase 2017 (Computer Science, Department of Statistics, Mathematics) Event as iCalendar
    23 September 2017, 10am - 2pm
    The Department of Computer Science, Mathematics and Statistics welcome you to our annual alumni and postgraduate showcase. Discover the research of our world-class academics and their PhD students. You will also have the opportunity to talk to your previous lecturers and fellow alumni.
  • Graphics in R Event as iCalendar
    10 December 2017, 1:30 - 5pm
    One in a series of four, this workshop is of special relevance to those involved in teaching statistics at all levels (e.g., secondary schools and universities), including the general learning of statistical concepts and exploratory data analysis, especially within a Big Data context.
  • NZSA/IASC-ARS Conference and Workshops on Statistical Computing Event as iCalendar
    11 December 2017 - 14 December 2017
    It is our great pleasure to invite you to Auckland to attend the 10th Conference of the IASC-ARS/68th Annual NZSA Conference to be hosted by the University of Auckland's Department of Statistics in December 2017 (10-14 Dec 2017).