Honours Overview
- Description
- Note: this honours specialisation is not available for new enrolments in 2025.
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. See study plans for more information.
Units
Key to availability of units:
- S1
- Semester 1
- S2
- Semester 2
- N/A
- not available in 2025 – may be available in 2026 or 2027
The students should discuss the units to enrol in with their supervisors.
Group A—take all units (24 points):
Availability | Unit code | Unit name | Unit requirements |
---|---|---|---|
S1, S2 | MATH4001 | Mathematics and Statistics Research Project Part 1 |
|
S1, S2 | MATH4002 | Mathematics and Statistics Research Project Part 2 |
|
Group B—take between 12-24 points from Group B.
Availability | Unit code | Unit name | Unit requirements |
---|---|---|---|
S1 | MATH4021 | Dynamical Systems |
|
S2 | MATH4022 | Theoretical Mechanics |
|
S2 | MATH4023 | Mathematical Optimisation |
|
N/A | MATH4025 | Mathematical Models and Partial Differential Equations |
|
N/A | MATH4026 | Rational Mechanics |
|
N/A | MATH4027 | Advanced Complex Systems |
|
N/A | MATH4030 | Harmonic Functions |
|
S1 | MATH4031 | Algebra |
|
S1 | MATH4032 | Continuous Geometry and Analysis |
|
S2 | MATH4033 | Advanced Topics in Pure Mathematics |
|
N/A | MATH4035 | Algebraic Topology |
|
N/A | MATH4036 | Representation Theory |
|
N/A | MATH4037 | Fields and Galois Theory |
|
N/A | MATH4038 | Regularity Theory for Partial Differential Equations |
|
N/A | MATH4039 | Sobolev and Hölder Spaces |
|
Group C—take between 0 and 12 points from Group C, to achieve a maximum of 48 points in the course.
Availability | Unit code | Unit name | Unit requirements |
---|---|---|---|
S1 | CITS4404 | Artificial Intelligence and Adaptive Systems |
|
S2 | CITS5017 | Deep Learning |
|
S1 | CITS5508 | Machine Learning |
|
S1 | MATH4011 | Special Topics in Mathematics 1 |
|
S2 | MATH4012 | Special Topics in Mathematics 2 |
|
S1 | PHYS4010 | Symmetry Principles in Physics | |
S1 | PHYS4021 | Quantum Information and Computing |
|
S2 | PHYS4022 | Advanced Quantum Computing | |
S1 | PHYS4415 | Special Topics in Physics I | |
S2 | PHYS5010 | Differential Geometry and General Relativity | |
S2 | PHYS5510 | Special Topics in Physics II |
|
S2 | PUBH5769 | Biostatistics II |
|
S1 | STAT4061 | Probability and Stochastic Processes |
|
S1 | STAT4062 | Statistical Modelling and Inference | |
S2 | STAT4063 | Computationally Intensive Methods in Statistics | |
S1 | STAT4064 | Applied Predictive Modelling |
|
S2 | STAT4066 | Bayesian Computing and Statistics | |
S2 | STAT5061 | Statistical Data Science |