Statistics

  • Blurred photo of concourse in the Undercroft

Qualifications

Overview

We are increasingly becoming a data-driven society, with advances in technology and the accumulation of massive data.

Statisticians make sense of data, and use those insights to explain what is observed and predict what is as yet unknown. There are many avenues for study and work, from statistical theory to its application in biology, climate science, forestry, medicine, the social sciences, engineering, physics, agriculture, finance and economics, and even history and archaeology.

It is up to the statistician to use appropriate logic, collect the necessary data, develop or apply the correct methodology, and interpret the results accurately. Then there is the challenge of communicating those results to the wider public.

Some of the statistical projects done right here at UC are:

  • using neural networks to predict climate extremes
  • using random forest method to find rogue pine trees
  • using Bayesian statistics for early prediction of grape yield
  • showing equivalence of alternative test strategies to reduce the number of animal trials in the pharmaceutical industry
  • using historical records to study changes in crime rates and punishment practices over the last 400 years
  • studying the effects of intervention programmes on the success of various student groups

A large number of students benefit from taking an introductory course in Statistics because it is used in so many subjects, including Engineering, Physics, Data Science, Psychology, Forestry Science, Geography, and Management.

Contact us

Te Kura Pāngarau | School of Mathematics and Statistics

Phone +64 3 369 2233
Email enquiries@math.canterbury.ac.nz

Location
See the School's website for up-to-date location details.

Postal address
College of Engineering | Te Rāngai Pūkaha
University of Canterbury | Te Whare Wānanga o Waitaha
Private Bag 4800
Christchurch 8140
New Zealand

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