| | Learning outcome |
|---|
| 1 | Exhibit a broad and coherent body of knowledge in fundamental areas in mathematics and statistics, with a particular focus on optimisation, risk analysis and stochastic processes |
|---|
| 2 | Interpret information communicated in mathematical or statistical form |
|---|
| 3 | Identify and address gaps in knowledge and skills by independently sourcing, collating and synthesising appropriate resources that extend their understanding of concepts in financial mathematics and statistics |
|---|
| 4 | Communicate mathematical information, reasoning and conclusions through a range of modes, to diverse audiences, using evidence-based arguments that are robust to critique |
|---|
| 5 | Construct logical, clearly presented and justified arguments in mathematics and statistics, including incorporating deductive or evidence-based reasoning |
|---|
| 6 | Formulate and model practical and abstract problems in mathematical and statistical terms using a variety of methods |
|---|
| 7 | Address practical and abstract problems in mathematics and statistics with a focus on the financial sector, using a range of concepts, techniques and technologies, working responsibly and ethically and with consideration of cross-cultural perspectives, within collaborative and interdisciplinary teams |
|---|
