Why Bachelor of Mathematics (Honours)?
From explaining modern physics phenomena, to interpreting big data – skills in pure mathematics are essential for scientific and technological advancement.
With our Bachelor of Mathematics (Honours) specialising in Pure Mathematics, you’ll learn to appreciate abstract theories. Explore numbers, structures, spaces and patterns. Develop logical and in-depth justifications for mathematical theories and understand how these can be used in real-world applications. Broaden your career prospects with an honours year, where you’ll put your analytical and research skills into practice. Prepare to apply your skills to almost any industry – including finance, healthcare, engineering, technology and academia.
Overview
The Bachelor of Mathematics (Honours) majoring in Pure Mathematics will build your mathematical skills to help drive innovation and problem solving in various sectors.
Understand key areas of mathematics including calculus, linear algebra and statistics, while deepening your pure mathematics skills through courses like number theory and category theory. Advance your communication and research skills through internships, clinics and supervised projects. You’ll also complete a research project as part of your honours year, further enhancing your employability.
Your studies could contribute to important advancements in technology and industry practices. Pure mathematics underpins practical applications in areas like computer science, engineering and data analysis. You might work in industry and government, education or research.
Key features
Learn about numbers, shapes and functions in a theoretical context. - Understand how mathematics underpins current and future technologies.
- Pursue mathematics at a high level to access a wide range of careers.
- Work in our dedicated Mathematics Clinic or complete an industry internship.
- Complete a research-focused honours year to broaden your career prospects.
- Tailor your studies with electives in complementary disciplines.
What you'll learn
This degree will expose you to fundamental principles in mathematics before delving into specialised courses in Pure Mathematics.
In your first year gain essential knowledge in mathematics by exploring topics on problem solving and programming, calculus, linear algebra, probability and statistics.
In second year develop your skills in communication and research in mathematics, statistical practice, multivariable calculus, algebra and real analysis.
Third year is when you’ll go deeper into your Pure Mathematics major and will build industry experience through learning in our dedicated Mathematics Clinic, an internship or a supervised project. Study courses in:
- Groups, rings and fields
- Metric and topological spaces
- Measure and integration
- Geometry of surfaces
- Number theory
- Functional analysis.
In fourth year, study advanced courses in Pure Mathematics including category theory, Riemannian geometry, Lie algebras and Lie groups, algebraic topology and smooth manifolds. As part of your honours studies, complete a research project relevant to your Pure Mathematics major under the guidance of an academic supervisor.
You’ll also choose from a wide range of elective courses to diversify your skills and complete common core courses to prepare you for work in a modern world.
Majors
The Bachelor of Mathematics (Honours) is also available with majors in the following:
What courses you'll study
Complete 192 units comprising:
- 84 units for Core courses, and
- 18 units from Work integrated learning, and
- Either:
- 48 units for Major, or
- 48 units for Discipline courses, and
- 42 units for Electives
Complete 84 units comprising:
- 18 units from Common core, and
- 66 units for all Program core
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
An Ethically Rich Life
|
Course code
COREX001
|
Units
6
|
|
|
Course name
Fact or Fiction: Data for Everyone
|
Course code
COREX002
|
Units
6
|
|
|
Course name
Igniting Change: Ideas to Action
|
Course code
COREX003
|
Units
6
|
|
|
Course name
Proppa Ways, Future Practice
|
Course code
COREX004
|
Units
6
|
|
|
Course name
Responsible AI: Bridging Ethics, Education and Industry
|
Course code
COREX005
|
Units
6
|
|
|
Course name
Ways of Being, Ways of Seeing
|
Course code
COREX006
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
|
Course name
Calculus 1
|
Course code
MATH1004
|
Units
6
|
|
|
Course name
Calculus 2
|
Course code
MATH1005
|
Units
6
|
|
|
Course name
Communication and Research Skills in Mathematics
|
Course code
MATH1020
|
Units
6
|
|
|
Course name
Linear Algebra
|
Course code
MATHX104
|
Units
6
|
|
|
Course name
Multivariable Calculus
|
Course code
MATHX203
|
Units
6
|
|
|
Course name
Mathematics Research Project 1
|
Course code
MATHX406
|
Units
12
|
|
|
Course name
Mathematics Research Project 2
|
Course code
MATHX407
|
Units
12
|
|
|
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
Notes
Program core - For students completing the STATHMATH - Statistics or the PMTHHMATH - Pure Mathematics majors, Calculus 1 will not be compulsory for students entering the program who have successfully completed SACE Stage 2 Specialist Mathematics (or equivalent). For these students, Calculus 1 can be replaced with any first year mathematics elective.
Complete 48 units comprising:
- 12 units for all Pure Mathematics major courses, and
- 6 units from Level 1 Pure Mathematics major courses, and
- 6 units from Level 2 Pure Mathematics major courses, and
- 24 units from Level 3 Pure Mathematics major courses
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Discrete Mathematics
|
Course code
MATH1006
|
Units
6
|
|
|
Course name
Geometry
|
Course code
MATH1007
|
Units
6
|
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
|
|
Course name
First Steps in Mathematics Research
|
Course code
MATH1011
|
Units
6
|
|
|
Course name
Mathematics in Action
|
Course code
MATH1012
|
Units
6
|
|
|
Course name
Introduction to Mathematical Data Science
|
Course code
MATH1035
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATHX307
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATHX311
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATHX310
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATHX306
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATHX312
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATHX305
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
Complete exactly 18 units from the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Professional Practice
|
Course code
MATH1021
|
Units
6
|
|
|
Course name
Statistical Practice
|
Course code
STATX290
|
Units
6
|
|
|
Course name
Mathematics Clinic 1
|
Course code
MATH3013
|
Units
6
|
|
|
Course name
Mathematics Clinic 2
|
Course code
MATH3900
|
Units
6
|
|
|
Course name
Project in Mathematics
|
Course code
MATH3901
|
Units
6
|
|
|
Course name
Internship in Mathematics
|
Course code
MATHX101
|
Units
6
|
Complete 42 units comprising:
- 6 units from University-wide electives Level 1, and
- One of the following:
- 6 units from Discipline electives Level 2, or
- 6 units from Applied Mathematics electives Level 2, or
- 6 units from Data Science electives Level 2, or
- 6 units from Pure Mathematics electives Level 2, or
- 6 units from Statistics electives Level 2, and
- One of the following:
- 6 units from Discipline electives Level 3, or
- 6 units from Applied Mathematics electives Level 3, or
- 6 units from Data Science electives Level 3, or
- 6 units from Pure Mathematics electives Level 3, or
- 6 units from Statistics electives Level 3, and
- One of the following:
- 24 units from Discipline electives Level 4, or
- 24 units from Applied Mathematics electives Level 4, or
- 24 units from Data Science electives Level 4, or
- 24 units from Pure Mathematics electives Level 4, or
- 24 units from Statistics electives Level 4
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Elective 1
|
Course code
AUXX1011
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Elective 1
|
Course code
AUXX1011
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Elective 1
|
Course code
AUXX1011
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Simulation for Decision Science
|
Course code
MATHX207
|
Units
6
|
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
|
|
Course name
Advanced Optimisation
|
Course code
MATHX302
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATHX303
|
Units
6
|
|
|
Course name
Fluid Dynamics
|
Course code
MATHX304
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATHX305
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATHX306
|
Units
6
|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATHX307
|
Units
6
|
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATHX308
|
Units
6
|
|
|
Course name
Mathematical Biology
|
Course code
MATHX309
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATHX310
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATHX311
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATHX312
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STATX300
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STATX301
|
Units
6
|
|
|
Course name
Statistical Methodology
|
Course code
STATX302
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STATX303
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Simulation for Decision Science
|
Course code
MATH2000
|
Units
6
|
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
|
|
Course name
Advanced Optimisation
|
Course code
MATHX302
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATHX303
|
Units
6
|
|
|
Course name
Fluid Dynamics
|
Course code
MATHX304
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATHX305
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATHX306
|
Units
6
|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATHX307
|
Units
6
|
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATHX308
|
Units
6
|
|
|
Course name
Mathematical Biology
|
Course code
MATHX309
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATHX310
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATHX311
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATHX312
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STATX300
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STATX301
|
Units
6
|
|
|
Course name
Statistical Methodology
|
Course code
STATX302
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Simulation for Decision Science
|
Course code
MATH2000
|
Units
6
|
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
|
|
Course name
Advanced Optimisation
|
Course code
MATHX302
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATHX303
|
Units
6
|
|
|
Course name
Fluid Dynamics
|
Course code
MATHX304
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATHX305
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATHX306
|
Units
6
|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATHX307
|
Units
6
|
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATHX308
|
Units
6
|
|
|
Course name
Mathematical Biology
|
Course code
MATHX309
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATHX310
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATHX311
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATHX312
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STATX300
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STATX301
|
Units
6
|
|
|
Course name
Statistical Methodology
|
Course code
STATX302
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
|
|
Course name
Advanced Optimisation
|
Course code
MATHX302
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATHX303
|
Units
6
|
|
|
Course name
Fluid Dynamics
|
Course code
MATHX304
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATHX305
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATHX306
|
Units
6
|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATHX307
|
Units
6
|
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATHX308
|
Units
6
|
|
|
Course name
Mathematical Biology
|
Course code
MATHX309
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATHX310
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATHX311
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATHX312
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STATX300
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STATX301
|
Units
6
|
|
|
Course name
Simulation for Decision Science
|
Course code
MATHX207
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Mathematical Generative Artificial Intelligence
|
Course code
ARTI1000
|
Units
6
|
|
|
Course name
Information Theory
|
Course code
COMP4007
|
Units
6
|
|
|
Course name
Statistical Machine Learning
|
Course code
MATH4008
|
Units
6
|
|
|
Course name
Algebraic Topology
|
Course code
MATH4010
|
Units
6
|
|
|
Course name
Reinforcement Learning
|
Course code
MATH6019
|
Units
6
|
|
|
Course name
Bayesian Statistical Theory
|
Course code
STAT3003
|
Units
6
|
|
|
Course name
Topics in Data Science A
|
Course code
STAT4001
|
Units
6
|
|
|
Course name
Topics in Data Science B
|
Course code
STAT4002
|
Units
6
|
|
|
Course name
Advanced Stochastic Processes
|
Course code
MATHX200
|
Units
6
|
|
|
Course name
Advanced Time Series
|
Course code
MATHX400
|
Units
6
|
|
|
Course name
Asymptotic Methods
|
Course code
MATHX401
|
Units
6
|
|
|
Course name
Category Theory
|
Course code
MATHX402
|
Units
6
|
|
|
Course name
Integral Transforms
|
Course code
MATHX403
|
Units
6
|
|
|
Course name
Lie Algebras and Lie Groups
|
Course code
MATHX404
|
Units
6
|
|
|
Course name
Mathematics of Artificial Intelligence
|
Course code
MATHX405
|
Units
6
|
|
|
Course name
Riemannian Geometry
|
Course code
MATHX408
|
Units
6
|
|
|
Course name
Smooth Manifolds
|
Course code
MATHX409
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics A
|
Course code
MATHX410
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics B
|
Course code
MATHX411
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics A
|
Course code
MATHX412
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics B
|
Course code
MATHX413
|
Units
6
|
|
|
Course name
Natural Language Processing
|
Course code
MATHX415
|
Units
6
|
|
|
Course name
Predictive Analytics
|
Course code
STATX400
|
Units
6
|
|
|
Course name
Spatial Statistics
|
Course code
STATX401
|
Units
6
|
|
|
Course name
Survey Statistics
|
Course code
STATX402
|
Units
6
|
|
|
Course name
Causal Inference
|
Course code
STATX403
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Information Theory
|
Course code
COMP4007
|
Units
6
|
|
|
Course name
Statistical Machine Learning
|
Course code
MATH4008
|
Units
6
|
|
|
Course name
Algebraic Topology
|
Course code
MATH4010
|
Units
6
|
|
|
Course name
Reinforcement Learning
|
Course code
MATH6019
|
Units
6
|
|
|
Course name
Bayesian Statistical Theory
|
Course code
STAT3003
|
Units
6
|
|
|
Course name
Topics in Data Science A
|
Course code
STAT4001
|
Units
6
|
|
|
Course name
Topics in Data Science B
|
Course code
STAT4002
|
Units
6
|
|
|
Course name
Advanced Stochastic Processes
|
Course code
MATHX200
|
Units
6
|
|
|
Course name
Advanced Time Series
|
Course code
MATHX400
|
Units
6
|
|
|
Course name
Asymptotic Methods
|
Course code
MATHX401
|
Units
6
|
|
|
Course name
Category Theory
|
Course code
MATHX402
|
Units
6
|
|
|
Course name
Integral Transforms
|
Course code
MATHX403
|
Units
6
|
|
|
Course name
Lie Algebras and Lie Groups
|
Course code
MATHX404
|
Units
6
|
|
|
Course name
Mathematics of Artificial Intelligence
|
Course code
MATHX405
|
Units
6
|
|
|
Course name
Riemannian Geometry
|
Course code
MATHX408
|
Units
6
|
|
|
Course name
Smooth Manifolds
|
Course code
MATHX409
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics A
|
Course code
MATHX410
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics B
|
Course code
MATHX411
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics A
|
Course code
MATHX412
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics B
|
Course code
MATHX413
|
Units
6
|
|
|
Course name
Natural Language Processing
|
Course code
MATHX415
|
Units
6
|
|
|
Course name
Predictive Analytics
|
Course code
STATX400
|
Units
6
|
|
|
Course name
Spatial Statistics
|
Course code
STATX401
|
Units
6
|
|
|
Course name
Survey Statistics
|
Course code
STATX402
|
Units
6
|
|
|
Course name
Causal Inference
|
Course code
STATX403
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Mathematical Generative Artificial Intelligence
|
Course code
ARTI1000
|
Units
6
|
|
|
Course name
Information Theory
|
Course code
COMP4007
|
Units
6
|
|
|
Course name
Advanced Stochastic Processes
|
Course code
MATH2002
|
Units
6
|
|
|
Course name
Statistical Machine Learning
|
Course code
MATH4008
|
Units
6
|
|
|
Course name
Algebraic Topology
|
Course code
MATH4010
|
Units
6
|
|
|
Course name
Reinforcement Learning
|
Course code
MATH6019
|
Units
6
|
|
|
Course name
Bayesian Statistical Theory
|
Course code
STAT3003
|
Units
6
|
|
|
Course name
Topics in Data Science A
|
Course code
STAT4001
|
Units
6
|
|
|
Course name
Topics in Data Science B
|
Course code
STAT4002
|
Units
6
|
|
|
Course name
Advanced Time Series
|
Course code
MATHX400
|
Units
6
|
|
|
Course name
Asymptotic Methods
|
Course code
MATHX401
|
Units
6
|
|
|
Course name
Category Theory
|
Course code
MATHX402
|
Units
6
|
|
|
Course name
Integral Transforms
|
Course code
MATHX403
|
Units
6
|
|
|
Course name
Lie Algebras and Lie Groups
|
Course code
MATHX404
|
Units
6
|
|
|
Course name
Mathematics of Artificial Intelligence
|
Course code
MATHX405
|
Units
6
|
|
|
Course name
Riemannian Geometry
|
Course code
MATHX408
|
Units
6
|
|
|
Course name
Smooth Manifolds
|
Course code
MATHX409
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics A
|
Course code
MATHX410
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics B
|
Course code
MATHX411
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics A
|
Course code
MATHX412
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics B
|
Course code
MATHX413
|
Units
6
|
|
|
Course name
Natural Language Processing
|
Course code
MATHX415
|
Units
6
|
|
|
Course name
Predictive Analytics
|
Course code
STATX400
|
Units
6
|
|
|
Course name
Spatial Statistics
|
Course code
STATX401
|
Units
6
|
|
|
Course name
Survey Statistics
|
Course code
STATX402
|
Units
6
|
|
|
Course name
Causal Inference
|
Course code
STATX403
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Information Theory
|
Course code
COMP4007
|
Units
6
|
|
|
Course name
Statistical Machine Learning
|
Course code
MATH4008
|
Units
6
|
|
|
Course name
Algebraic Topology
|
Course code
MATH4010
|
Units
6
|
|
|
Course name
Reinforcement Learning
|
Course code
MATH6019
|
Units
6
|
|
|
Course name
Bayesian Statistical Theory
|
Course code
STAT3003
|
Units
6
|
|
|
Course name
Topics in Data Science A
|
Course code
STAT4001
|
Units
6
|
|
|
Course name
Topics in Data Science B
|
Course code
STAT4002
|
Units
6
|
|
|
Course name
Advanced Stochastic Processes
|
Course code
MATHX200
|
Units
6
|
|
|
Course name
Advanced Time Series
|
Course code
MATHX400
|
Units
6
|
|
|
Course name
Asymptotic Methods
|
Course code
MATHX401
|
Units
6
|
|
|
Course name
Category Theory
|
Course code
MATHX402
|
Units
6
|
|
|
Course name
Integral Transforms
|
Course code
MATHX403
|
Units
6
|
|
|
Course name
Lie Algebras and Lie Groups
|
Course code
MATHX404
|
Units
6
|
|
|
Course name
Mathematics of Artificial Intelligence
|
Course code
MATHX405
|
Units
6
|
|
|
Course name
Riemannian Geometry
|
Course code
MATHX408
|
Units
6
|
|
|
Course name
Smooth Manifolds
|
Course code
MATHX409
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics A
|
Course code
MATHX410
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics B
|
Course code
MATHX411
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics A
|
Course code
MATHX412
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics B
|
Course code
MATHX413
|
Units
6
|
|
|
Course name
Natural Language Processing
|
Course code
MATHX415
|
Units
6
|
|
|
Course name
Predictive Analytics
|
Course code
STATX400
|
Units
6
|
|
|
Course name
Spatial Statistics
|
Course code
STATX401
|
Units
6
|
|
|
Course name
Survey Statistics
|
Course code
STATX402
|
Units
6
|
|
|
Course name
Causal Inference
|
Course code
STATX403
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Mathematical Generative Artificial Intelligence
|
Course code
ARTI1000
|
Units
6
|
|
|
Course name
Information Theory
|
Course code
COMP4007
|
Units
6
|
|
|
Course name
Statistical Machine Learning
|
Course code
MATH4008
|
Units
6
|
|
|
Course name
Algebraic Topology
|
Course code
MATH4010
|
Units
6
|
|
|
Course name
Reinforcement Learning
|
Course code
MATH6019
|
Units
6
|
|
|
Course name
Bayesian Statistical Theory
|
Course code
STAT3003
|
Units
6
|
|
|
Course name
Topics in Data Science A
|
Course code
STAT4001
|
Units
6
|
|
|
Course name
Topics in Data Science B
|
Course code
STAT4002
|
Units
6
|
|
|
Course name
Advanced Stochastic Processes
|
Course code
MATHX200
|
Units
6
|
|
|
Course name
Advanced Time Series
|
Course code
MATHX400
|
Units
6
|
|
|
Course name
Asymptotic Methods
|
Course code
MATHX401
|
Units
6
|
|
|
Course name
Category Theory
|
Course code
MATHX402
|
Units
6
|
|
|
Course name
Integral Transforms
|
Course code
MATHX403
|
Units
6
|
|
|
Course name
Lie Algebras and Lie Groups
|
Course code
MATHX404
|
Units
6
|
|
|
Course name
Mathematics of Artificial Intelligence
|
Course code
MATHX405
|
Units
6
|
|
|
Course name
Riemannian Geometry
|
Course code
MATHX408
|
Units
6
|
|
|
Course name
Smooth Manifolds
|
Course code
MATHX409
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics A
|
Course code
MATHX410
|
Units
6
|
|
|
Course name
Topics in Applied Mathematics B
|
Course code
MATHX411
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics A
|
Course code
MATHX412
|
Units
6
|
|
|
Course name
Topics in Pure Mathematics B
|
Course code
MATHX413
|
Units
6
|
|
|
Course name
Natural Language Processing
|
Course code
MATHX415
|
Units
6
|
|
|
Course name
Predictive Analytics
|
Course code
STATX400
|
Units
6
|
|
|
Course name
Spatial Statistics
|
Course code
STATX401
|
Units
6
|
|
|
Course name
Survey Statistics
|
Course code
STATX402
|
Units
6
|
|
|
Course name
Causal Inference
|
Course code
STATX403
|
Units
6
|
Notes
Discipline electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Applied Mathematics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Data Science electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Pure Mathematics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Statistics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Discipline electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Applied Mathematics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Data Science electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Pure Mathematics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Statistics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Applied Mathematics electives Level 4 - It is recommended that students consult with the program director prior to enrolling in fourth year.
Data Science electives Level 4 - It is recommended that students consult with the program director prior to enrolling in fourth year.
Pure Mathematics electives Level 4 - It is recommended that students consult with the program director prior to enrolling in fourth year.
Statistics electives Level 4 - It is recommended that students consult with the program director prior to enrolling in fourth year.
Career outcomes
Put your problem-solving abilities and advanced technical skills in pure mathematics into practice across various industries.
As a graduate, you might work as a data scientist using your abilities in modelling and statistical analysis. Maybe you will advance topological methods, designing faster and more efficient methods for analysing high-dimensional and complex datasets. Perhaps you’ll pursue further study to work in academia, applying your skills to research projects answering complex mathematical questions.
Mathematicians can also apply their knowledge and skills in the following fields:
- Economics
- Engineering
- Environmental science
- Finance and banking
- Healthcare and biostatistics
- Market research and business intelligence
- Material science
- Public health
- Sports analytics
- Technology and software development.
Industry trends
Demand for employees with mathematics skills is increasing. These skills are crucial in society – able to help us cure deadly diseases, design future-proof cities and understand complex data (AMSI, 2021). According to the Australian Mathematical Sciences Institute (AMSI), 75% of the fastest growing jobs require STEM (Science, Technology, Engineering and Mathematics) skills (AMSI, 2021). Additionally, the application of artificial intelligence and big data technologies will drive job growth, with companies looking to achieve greater precision in using and interpretating data. A report by the World Economic Forum (WEF) predicts 75% of companies will adopt technologies like big data, cloud computing and AI by 2028 (WEF, 2023). As a mathematician, you’ll have advanced problem solving and analytical skills which can be applied to various industries and roles.
Ready to apply?
Your study experience and support
Adelaide University sets you up for success in your studies – and your social life. You’ll have access to work placement and internship opportunities, overseas study tours and exchanges, networking events with guest speakers and more. Our campuses are equipped with purpose-built facilities including lecture theatres, libraries, workshops, laboratories, and spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform with personalised study information and resources.
You’ll have everything you need to live well and thrive during your studies, with health services on campus, gymnasiums, technology zones and modern student lounges. Get involved in campus sport or join our student clubs that will connect you to your passions – and the people who share them.
Adelaide also has a variety of accommodation options to suit your individual requirements and budget, with options ranging from dedicated student accommodation to private rentals. One of the world’s most liveable cities, Adelaide has lots of leafy parks, gardens and social hubs – and some of the highest living standards globally. No matter where you are in Adelaide, you’re only a short distance from beaches, vineyards, museums, art galleries, restaurants, bars and parklands. Visit the accommodation web page to find out more.
Student services
We’re here to support you on your student journey. Adelaide University offers a range of support services and facilities, including:
- Career advice and mentoring services
- Personal counselling
- LGBTQIA+ support
- Academic support
- Fees and finance help
- Security services
- Accommodation services
- Common rooms
- Prayer rooms.
You’ll also have unlimited access to our dedicated student support hub. Visit in-person or online, or contact our friendly team by phone. We can assist you with anything study-related including enrolment, identification cards, timetables, fees and more.
Your campus
You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces.
Study hours
Your courses will require a combination of different learning formats, including lectures, tutorials, workshops, seminars and practicals. Aside from your classes, you’ll also need to allocate additional time for independent study. This may include assignments, readings, projects and contributing to online discussion forums. As a rough guide, full-time studies may require 12-26 hours of class time and 14-18 hours of independent study per week.
Assessment
During your studies at Adelaide University, you’ll complete a mixture of practical, professional and research-based learning. Your assessment types will vary depending on the degree you’re studying, but may include:
- Case studies
- Essays and assignments
- Examinations
- Group projects
- Internships and placements
- Practicals
- Presentations
- Reports and project documentations
- Research projects
- Workplace and classroom contributions.
