Honours Overview
- Description
- Note: this honours specialisation is not available for new enrolments in 2025.
Honours in Statistics will provide the knowledge and tools necessary to solve complex statistical problems of a theoretical or applied nature. 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 statistical reasoning to analyse the essential structure of problems arising in areas of mathematics; (2) apply their knowledge of mathematical and statistical techniques and transfer solutions to different situations; and (3) discuss and demonstrate statistical 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 Statistics 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 |
---|---|---|---|
N/A | STAT4001 | Statistics Honours Research Project Part 1 |
|
N/A | STAT4002 | Statistics Honours Research Project Part 2 |
Group B—take between 12-24 points from Group B:
Availability | Unit code | Unit name | Unit requirements |
---|---|---|---|
S1 | STAT4061 | Probability and Stochastic Processes |
|
S1 | STAT4062 | Statistical Modelling and Inference | |
S2 | STAT4063 | Computationally Intensive Methods in Statistics | |
S2 | STAT4066 | Bayesian Computing and Statistics |
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 | 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 |
|
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 | STAT4064 | Applied Predictive Modelling |
|
S2 | STAT5061 | Statistical Data Science |