The Faculty suggests the following unit of study enrolment sequences to maximise the learning experience. These suggested sequences allow for the fastest pathways to graduation relative to the time of student enrolment.
Note that other arrangements are also possible.
| Ìý | Semester | Unit of Study 1 & Credit Points | Units of Study 2 & Credit Points | Total |
|---|---|---|---|---|
Year 1 |
1 |
Elective Unit Data Science Capstone |
Elective Unit Algebra and Logic |
Ìý |
| 6 | 6 | 12 |
||
2 |
Elective Unit Geometry and Topology |
Elective Unit ÌýSTAT3923 Statistical Inference (Advanced) |
Ìý |
|
| 6 | 6 | 12 | ||
Year 2 Ìý |
1 Ìý |
Elective Unit AMSI Summer School |
Elective Unit Functional Analysis |
Ìý |
| 6 | 6 | 12 | ||
2 Ìý |
Elective Unit Algebraic Topology |
Elective Unit ÌýMATH4312 Commutative Algebra |
Ìý |
|
| 6 | 6 | 12 | ||
| Year 3 | 1 | Elective Unit Probability and Mathematical Statistics |
Elective Unit Stochastic Processes and Applications |
Ìý |
| 6 | 6 | 12 | ||
| 2 | Elective Unit Statistical Methodology |
Elective Unit Bayesian Computational Statistics |
Ìý | |
| 6 | 6 | 12 | ||
| Year 4 | 1 | Research Core Project Units Mathematical Sciences Project A |
Research Core Project Units Mathematical Sciences Project B |
Ìý |
| 6 | 6 | 12 | ||
| 2 | Research Core Project Units Mathematical Sciences Project C |
Research Core Project Units Mathematical Sciences Project D |
Ìý | |
| 6 | 6 | 12 | ||
| Total Credit Points | 96 | |||
| Ìý | Semester | Unit of Study 1 & Credit Points | Units of Study 2 & Credit Points | Units of Study 3 & Credit Points | Units of Study 4 & Credit Points | Total |
|---|---|---|---|---|---|---|
Year 1 |
1 |
Elective Unit Stochastic Processes |
Elective Unit ÌýSTAT3922 Applied Linear Models (Advanced) |
Elective Unit Algebra and Logic |
Elective Unit Metric Spaces |
Ìý |
| 6 | 6 | 6 | 6 | 24 | ||
2 |
Elective Unit Stochastic Analysis |
Elective Unit ÌýMATH4412 Advanced Methods in Applied Mathematics |
Elective Unit Theory and Methods of Statistical Inference |
Elective Unit Advanced Statistical Modelling |
Ìý |
|
| 6 | 6 | 6 | 6 | 24 | ||
Year 2 |
1 |
Elective Unit Networks and High-dimensional Inference |
Elective Unit Bayesian Computational Statistics |
Elective Unit Special Topics in Applied Mathematics |
Elective Unit Topics in Analysis |
Ìý |
| 6 | 6 | 6 | 6 | 24 | ||
2 |
Research Core Project Units Mathematical Sciences Project A Ìý |
Research Core Project Units Mathematical Sciences Project B |
Research Core Project Units Mathematical Sciences Project C |
Research Core Project Units Mathematical Sciences Project D |
Ìý |
|
| 6 | 6 |
6 | 6 | 24 | ||
| Total Credit Points | 96 | |||||