Study level

  • PhD
  • Master of Philosophy

Faculty/School

Faculty of Creative Industries, Education and Social Justice

Topic status

We're looking for students to study this topic.

Research centre

Supervisors

Dr Charisse Farr
Position
Senior Lecturer in Secondary Mathematics Education
Division / Faculty
Faculty of CI, Education & Social Justice
Professor Dann Mallet
Position
Professor in STEM Education
Division / Faculty
Faculty of CI, Education & Social Justice
Dr Indu Wadhawan
Position
Lecturer (TIEA)
Division / Faculty
Faculty of Science

Overview

This project explores how advanced statistical modelling can support decision-making in complex education systems. It focuses on modelling uncertainty, interdependencies, and policy-relevant insights to guide planning and practice.

The project aligns with research applying Bayesian networks to real world decision-making under uncertainty across infrastructure, health, and education contexts

Research activities

  • Bayesian modelling and probabilistic reasoning.
  • Scenario analysis ('what-if' modelling).
  • Administrative and system-level data analysis.

Outcomes

  • Develop models for system-level decision-making.
  • Explore relationships between data, policy, and practice.
  • Translate analytics into usable tools.

Skills and experience

  • Strong quantitative or computational background in:
    • statistics
    • mathematics
    • data science
  • An interest in education or policy applications.

Keywords

Contact

Contact the supervisor for more information.