AMSI Third-Year

AMSI Online: Third-Year was introduced in 2022 as an expansion of AMSI’s national online learning program. It provides undergraduate students with access to a broader range of third-year mathematical sciences subjects across Australia via cross-institutional enrolment.

Delivered online through AMSI Member Universities, this collaborative initiative enriches undergraduate training by enabling students to study specialist mathematics, statistics, and data science subjects that may not otherwise be available at their home institution.

Who can participate?

  • Undergraduate students (typically in their third year of study)
  • Students looking to expand their subject choices in mathematics, statistics or data science

Undergraduate Students

  • Access specialist subjects not available at your home university
  • Learn from expert lecturers across Australia
  • Expand your knowledge and strengthen preparation for honours, masters, or professional pathways


Cross-institutional enrolment process

  1. Choose your subject – explore the available subjects and review their course outlines.
  2. Check requirements – Click on the cross-institutional enrolment policy link for your chosen subject to understand the host university’s enrolment process and requirements.
  3. Consult your home university – Speak with your course convenor to confirm eligibility and the correct steps to receive credit.
  4. Learn online – Attend classes virtually and access learning materials provided by the host university.
VIEW SUBJECTS

Lecturers

  • Showcase your subject to a national student cohort
  • Support discipline-wide collaboration and training in the mathematical sciences

 

How to submit a third-year undergraduate subject

  1. Confirm eligibility – Ensure your subject is available online and open for cross-institutional enrolment.
  2. Obtain approval from your Head of School/Department.
  3. Submit your subject information via our online form.
  4. Enrolments are processed via your university’s standard cross-institutional processes.

AMSI will publish subject details in the table below. Subjects for the upcoming year will be published in December/January.

SUBMIT SUBJECT

Past Subjects

2025

SEMESTER ONE
Subject Lecturer Host university
Statistical Inference Dr Gentry White Queensland University of Technology
Generalised LInear Models Professor James McGree Queensland University of Technology
Optimisation Modelling Associate Professor Paul Corry Queensland University of Technology
Data Security Dr Saiful Islam The University of Newcastle
Environmental and Biological modelling Professor Graeme Hocking Murdoch University
Time Series Analysis Dr. Soudabeh Shemehsava Murdoch University
TRIMESTER ONE
                                         Subject Lecturer Host university
Introduction to Topology Dr David Robertson & Dr Wenjie Ni The University of New England
Complex Analysis Dr Adam Harris The University of New England
Number Theory Dr Jelena Schmalz The University of New England
Statistical Learning Dr Farshid Hajati The University of New England
SEMESTER TWO
Subject Lecturer Host university
Advanced Visualisation and Data Science Associate Professor Paul Wu Queensland University of Technology
Modelling and simulation Professor Gerd Schroeder-Turk Murdoch University
Operations Research for Stochastic Processes Associate Professor Kate Helmstedt Queensland University of Technology
Statistical Design and Data Analysis Dr Yunwei Zhang Murdoch University
TRIMESTER TWO
Subject Lecturer Host university
Abstract Algebra Professor Gerd Schmalz The University of New England
Advanced Statistical Modelling Dr Brenda Vo The University of New England
Differential Equations Dr Wenjie Ni The University of New England

2024

 

SEMESTER ONE
Subject Lecturer Host university
Generalised LInear Models Professor James McGree Queensland University of Technology
Optimisation Modelling Associate Professor Paul Corry Queensland University of Technology
Generalised LInear Models Dr Yang Yang The University of Newcastle
Data Security Dr Saiful Islam The University of Newcastle
Statistical Inference Dr Gentry White Queensland University of Technology
SEMESTER TWO
Subject Lecturer Host university
Operations Research for Stochastic Processes Associate Professor Kate Helmstedt Queensland University of Technology
Advanced Visualisation and Data Science Professor Michael Bode Queensland University of Technology

2023

SEMESTER ONE
Subject Lecturer Host university
Algebra Professor Florian Breuer The University of Newcastle
Machine Learning and Data Visualisation Dr Johnny Lo Edith Cowan University
Optimisation III Associate Professor Lewis Mitchell The University of Adelaide
Optimisation Modelling Associate Professor Paul Corry Queensland University of Technology
Statistical Inference Professor Irene Hudson RMIT
Visualising Data Associate Professor Kate Helmstedt Queensland University of Technology
TRIMESTER ONE
                                         Subject Lecturer Host university
Number Theory Dr Adam Harris The University of New England
SEMESTER TWO
Subject Lecturer Host university
Advanced Visualisation and Data Science Dr Jesse Sharp Queensland University of Technology
Multivariate Analysis Professor Irene Hudson RMIT
Number theory Professor Florian Breuer The University of Newcastle
TRIMESTER TWO
Subject Lecturer Host university
Abstract Algebra Dr Bea Bleile The University of New England
Differential Equations Professor Gerd Schmalz The University of New England

2022

SEMESTER ONE
Subject Lecturer Host university
Algebra* Professor Florian Breuer The University of Newcastle
Algebra for Information Security Dr Graham Clarke The University of Sydney
Differential Equations and Numerical Methods Dr Steven Richardson Edith Cowan University
Machine Learning and Data Visualisation Dr Johnny Lo Edith Cowan University
Optimisation III Associate Professor Lewis Mitchell The University of Adelaide
Statistical Inference Professor Irene Hudson RMIT University
TRIMESTER ONE
                                             Subject Lecturer Host university
Complex Analysis Dr Jock McOrist The University of New England
Introduction to Topology Dr David Robertson The University of New England
Number Theory Dr Adam Harris The University of New England
SEMESTER TWO
Subject Lecturer Host university
Analysis of Categorical Data Dr David Akman RMIT
Applied Multivariate Statistics Dr Eben Afrifa-Yamoah Edith Cowan University
Computational Bayesian Statistics III Dr John (Jack) Mclean The University of Adelaide
Multivariate Analysis Professor Irene Hudson RMIT
Number theory Professor Florian Breuer The University of Newcastle
Statistical Learning / Statistical Data Science Professor Inge Koch The University of Western Australia
TRIMESTER TWO
Subject Lecturer Host university
Abstract Algebra Dr Bea Bleile The University of New England
Differential Equations Professor Gerd Schmalz The University of New England