| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
| BMET9925 AI, Data, and Society in Health |
6 | A Familiarity with general mathematical and statistical concepts. Online learning modules will be provided to support obtaining this knowledge N BMET2925 |
| DATA5441 Networks and High-dimensional Inference |
6 | A Linear algebra (matrices, eigenvalues, etc.); introductory concepts in statistics (statistical models, inference); a programming language |
| ECON6003 Mathematical Methods of Econ Analysis |
6 | P ECON5001 and ECON5002 N ECON6703 |
| EDPK5002 Quantitative Methods |
6 | |
| FMHU5002 Introductory Biostatistics |
6 | N PUBH5018 |
| PUBH5215 Analysis of Linked Health Data |
6 | A The unit assumes introductory-level programming skills in SAS or R, assumes introductory-level knowledge in epidemiology, e.g., PUBH5010 or CEPI5100, and introductory-level knowledge in biostatistics or statistics, e.g., PUBH5018 or FMHU5002. C (PUBH5010 or BSTA5011 or CEPI5100) and (PUBH5217 or BSTA5004) |
| PUBH5217 Biostatistics: Statistical Modelling |
6 | P FMHU5002 N (PUBH5211 or PUBH5212 or PUBH5213) |
| PUBH5218 Advanced Statistical Modelling |
6 | P PUBH5217 N CEPI5310 |
| SSPS6001 Quantitative Methods in Social Sciences |
6 | |
| STAT5002 Introduction to Statistics |
6 | A HSC Mathematics |
| STAT5003 Computational Statistical Methods |
6 | A STAT5002 or equivalent introductory statistics course with a statistical computing component |
| STAT5611 Statistical Methodology |
6 | A Familiarity with probability theory at 4000 level (e.g., STAT4211 or STAT4214 or equivalent) and with statistical modelling (e.g., STAT4027 or equivalent). Please consult with the coordinator for further information |
