Honours Overview

Description

Honours in Mathematics will provide the knowledge and tools necessary to solve complex mathematical problems of a theoretical or applied nature, depending on your specialisation. Good research skills will be developed , along with the communication skills required to present the results of your work to colleagues and to companies, institutions and collaborators.

Outcomes

Students are able to (1) apply mathematical reasoning to analyse the essential structure of problems arising in areas of mathematics; (2) apply their knowledge of mathematical techniques and transfer solutions to different situations; and (3) Discuss and demonstrate mathematical results in written and verbal form.

Entry requirements

The equivalent of a UWA weighted average mark of at least 70% in the Level 3 units of the Mathematics major (MJD-MATHS) or Statistics major (MJD-STATS). Students should have a formal agreement with an academic staff member/s to supervise their research project.

Intake periods

Beginning of year and mid-year

Courses

Honours in Mathematics can be taken as a specialisation in the following degrees:

No study plans found for this course. Check your chosen major, see study plans or contact your student advising office for more information.

Units

Key to availability of units:
S1
Semester 1
S2
Semester 2
N/A
not available in 2026 – may be available in 2027 or 2028

The students should discuss the units to enrol in with their supervisors.

Group A—take all units (24 points):
AvailabilityUnit codeUnit nameUnit requirements
S1, S2 MATH4001 Mathematics Honours Research Project Part 1
Prerequisites
Enrolment in in the
HON-MATHS Mathematics
or HON-MATHH Mathematics
S1, S2 MATH4002 Mathematics Honours Research Project Part 2
Prerequisites
Enrolment in
HON-MATHS Mathematics
or HON-MATHH Mathematics
and MATH4001 Mathematics Research Project Part 1
Group B—take between 12-24 points from Group B.
AvailabilityUnit codeUnit nameUnit requirements
S1 MATH4021 Applied Dynamical Systems
Prerequisites
Successful completion of
MATH3021 Nonlinear Dynamics and Chaos
S2 MATH4022 Continuum Mechanics
Prerequisites
Successful completion of
MATH3022 Scientific and Industrial Modelling
S2 MATH4023 Mathematical Optimisation
Prerequisites
Successful completion of
MATH2021 Introduction to Applied Mathematics
N/A MATH4025 Mathematical Models and Partial Differential Equations
Prerequisites
Successful completion of
MATH1011 Multivariable Calculus
or MATH1013 Mathematical Analysis
N/A MATH4026 Rational Mechanics
Prerequisites
Successful completion of
MATH3032 Topology and Manifolds
N/A MATH4027 Advanced Complex Systems
Prerequisites
Successful completion of
MATH3024 Complex Systems
and MATH3021 Nonlinear Dynamics and Chaos
S1 MATH4030 Harmonic Functions
Prerequisites
Successful completion of
MATH1011 Multivariable Calculus
or MATH1013 Mathematical Analysis
and MATH2030 Metric Spaces & Measure Theory
S1 MATH4031 Topics in Group Theory
Prerequisites
Successful completion of
MATH3031 Algebraic Structures and Symmetry
N/A MATH4032 Geometry and Analysis on Manifolds
Prerequisites
Successful completion of
MATH3032 Topology and Analysis
S2 MATH4033 Topics in Combinatorics
Prerequisites
Successful completion of
MATH3031 Algebraic Structures and Symmetry
or MATH3033 Geometry
or MATH3002 Network Science
S2 MATH4035 Algebraic Topology
Prerequisites
Successful completion of
MATH3032 Topology and Manifolds
N/A MATH4036 Representation Theory
Prerequisites
Successful completion of
MATH3031 Algebraic Structures and Symmetry
N/A MATH4037 Fields and Galois Theory
Prerequisites
Successful completion of
MATH3031 Algebraic Structures and Symmetry
and MATH3033 Geometry
N/A MATH4038 Regularity Theory for Partial Differential Equations
Prerequisites
Successful completion of
MATH1011 Multivariable Calculus
or MATH1013 Mathematical Analysis
and Successful completion of
MATH2030 Metric Spaces & Measure Theory
N/A MATH4039 Sobolev and Hölder Spaces
Prerequisites
Successful completion of
MATH1011 Multivariable Calculus
or MATH1013 Mathematical Analysis
and MATH3034
Group C—take between 0 and 12 points from Group C, to achieve a maximum of 48 points in the course.
AvailabilityUnit codeUnit nameUnit requirements
S1 CITS4404 Artificial Intelligence and Adaptive Systems
Prerequisites
Successful completion of
CITS2002 Systems Programming
or CITS2005 Object Oriented Programming
or CITS2402 Introduction to Data Science
or ELEC3020 Embedded Systems
or or ( CITS1401 Computational Thinking with Python
and CITS4009 Computational Data Analysis
)
S2 CITS5017 Deep Learning
Prerequisites
Successful completion of
CITS5508 Machine Learning
S1 CITS5508 Machine Learning
Prerequisites
Enrolment in
HON-CMSSE Computer Science and Software Engineering
or 62510 Master of Information Technology
or 62530 Master of Data Science
or 42630 Master of Business Analytics
or 62550 Master of Professional Engineering
or 53560 Master of Physics
or BH008 Bachelor of Advanced Computer Science [Honours]
or 73660 Master of Medical Physics
or ( Bachelor of Engineering (Honours) or an associated Combined Degree
and 96 points
)
and Successful completion of
CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
or CITS2401 Computer Analysis and Visualisation
or ( BUSN5101 Programming for Business
and BUSN5002 Fundamentals of Business Analytics
)
S1 MATH4011 Special Topics in Mathematics 1
Prerequisites
Enrolment in
in the HON-MTHST Mathematics and Statistics [Honours]
S2 MATH4012 Special Topics in Mathematics 2
Prerequisites
Enrolment in
in the HON-MTHST Mathematics and Statistics [Honours]
S1 PHYS4010 Symmetry Principles in Physics
Prerequisites
Enrolment in
HON-MTHST Mathematics and Statistics
or HON-PHYSC Physics
or CM015 Bachelor of Science Frontier Physics and Master of Physics
or 53560 Master of Physics
or HON-MATHS Mathematics
or HON-MATHH Mathematics
or HON-STATS Statistics
or HON-STATH Statistics
and
completion of the core units in the Physics major or equivalent
S1 PHYS4011 Advanced Electrodynamics
Prerequisites
Enrolment in
53560 Master of Physics
or HON-PHYSC Physics
or CM015 Bachelor of Science Frontier Physics and Master of Physics
or CM040 Bachelor of Science Frontier Physics and Master of Physics - Medical Physics
or HON-MATHS Mathematics
or HON-STATS Statistics
or HON-MATHH Mathematics
or HON-STATH Statistics
or HON-MTHST Mathematics and Statistics
and the
successful completion of
the core units in the Physics major or equivalent
S1 PHYS4021 Quantum Information and Computing
Prerequisites
Enrolment in
CM015 Bachelor of Science Frontier Physics and Master of Physics
or 53560 Master of Physics
or 65550 Master of Quantum Technology and Computing
or HON-MTHST Mathematics and Statistics
or HON-MATHS Mathematics
or HON-MATHH Mathematics
or HON-STATS Statistics
or HON-STATH Statistics
( HON-CMSSE Computer Science and Software Engineering
or MJD-ICYDM International Cybersecurity
or 62530 Master of Data Science and
MATH1012 Mathematical Theory and Methods or equivalent
or MATX1012 Mathematical Theory and Methods
Incompatibility
PHYS3005 Quantum Computation
S2 PHYS4022 Advanced Quantum Computing
Prerequisites
Enrolment in
53560 Master of Physics
or 65550 Master of Quantum Technology and Computing
or CM015 Bachelor of Science Frontier Physics and Master of Physics
or HON-PHYSC Physics
or BH008 Bachelor of Advanced Computer Science [Honours]
or HON-MATHS Mathematics
or HON-MATHH Mathematics
or HON-STATS Statistics
or HON-STATH Statistics
and
PHYS3005 Quantum Computation
or PHYS4021 Frontiers in Quantum Computation
S2 PHYS5007 Advanced Statistical Physics
Prerequisites
Enrolment in
53560 Master of Physics
or HON-PHYSC Physics
or CM015 Bachelor of Science Frontier Physics and Master of Physics
or CM040 Bachelor of Science Frontier Physics and Master of Physics - Medical Physics
or HON-MATHS Mathematics
or HON-STATS Statistics
or HON-MATHH Mathematics
or HON-STATH Statistics
or HON-MTHST Mathematics and Statistics
and the
successful completion of
the core units in the Physics major or equivalent
S2 PHYS5010 Differential Geometry and General Relativity
Prerequisites
Enrolment in
HON-MTHST Mathematics and Statistics
or HON-MATHS Mathematics
or HON-MATHH Mathematics
or HON-STATS Statistics
or HON-STATH Statistics
or HON-PHYSC Physics
or CM015 Bachelor of Science Frontier Physics and Master of Physics
or 53560 Master of Physics
and
completion of the core units in the Physics major or equivalent
and PHYS3011 Mathematical Physics
S2 PUBH5769 Biostatistics II
Prerequisites
PUBH4401 Biostatistics I or equivalent training/experience
S1 STAT4061 Probability and Stochastic Processes
Prerequisites
STAT3061 Random Processes and their Applications
or STAT3401 Advanced Data Analysis
S1 STAT4062 Statistical Modelling and Inference
Prerequisites
STAT3062 Statistical Science
or STAT3401 Advanced Data Analysis
and STAT3064 Statistical Learning
S2 STAT4063 Computationally Intensive Methods in Statistics
Prerequisites
STAT3062 Statistical Science
or STAT4064 Applied Predictive Modelling
S1 STAT4064 Applied Predictive Modelling
Prerequisites
STAT2401 Analysis of Experiments
and STAT2402 Analysis of Observations
or STAT2062 Fundamentals of Probability with Applications
or STAT2063 Probabilistic Methods and their Applications
or STAT2403 Regression models for data science
Incompatibility
STAT3406 Applied Statistics and Data Visualisation
S2 STAT5061 Statistical Data Science
Prerequisites
STAT2401 Analysis of Experiments
and STAT2402 Analysis of Observations
or STAT2403 Regression Models for Data Science
or STAT2062 Fundamentals of Probability with Applications
or STAT2063 Probabilistic Methods and their Applications
Incompatibility
STAT3064 Statistical Learning
and STAT4067 Applied Statistics and Data Visualisation
S2 STAT5405 Bayesian Computing and Statistics
Prerequisites
Successful completion of
STAT2401 Analysis of Experiments
and STAT2402 Analysis of Observations
or STAT2403 Regression models for data science
or STAT2062 Fundamentals of Probability with Applications
Co-requisites
STAT2401 Analysis of Experiments (ID 390)
Incompatibility
STAT3405 Introduction to Bayesian Computing and Statistics
or STAT4066 Bayesian Computing and Statistics