Modification History
Release |
TP Version |
Comments |
1 |
PSP12 V1 |
First release. Supersedes and equivalent to PSP40604 |
Description
This specialist qualification covers the competencies required to prevent and detect fraud. Electives should reflect the responsibilities of the individual and the job skills required for effective performance. Where a free choice of Electives is possible in the qualification packaging rules, Electives may also be drawn from other Training Packages to reflect the work context and career plans of the individual.
Pathways Information
Not applicable.
Licensing/Regulatory Information
Not applicable.
Entry Requirements
Not applicable.
Employability Skills Summary
Not applicable.
Packaging Rules
15 units of competency are required for this qualification:
Choose 2 elective units from the list below. Only 1 of the PSPOHS units may be used. Choose 3 electives from elsewhere within this Training Package, any endorsed Training Package or Accredited Course. Units selected should not duplicate content already covered by other units in this qualification . All elective units must be selected from an equivalent qualification level or higher, unless otherwise stated. ** For this qualification, 1 of the 3 imported elective units may be drawn from units of competency packaged at Certificate III level. |
|
Core Units |
|
PSPETHC401A |
Uphold and support the values and principles of public service |
PSPGOV402B |
Deliver and monitor service to clients |
PSPGOV408A |
Value diversity |
PSPGOV412A |
Use advanced workplace communication strategies |
PSPGOV422A |
Apply government processes |
PSPLEGN401A |
Encourage compliance with legislation in the public sector |
PSPPOL404A |
Support policy implementation |
PSPFRAU401B |
Monitor data for indicators of fraud |
PSPFRAU407B |
Conduct fraud control awareness sessions |
PSPREG415A |
Receive and validate data |
Elective Units |
|
PSPOHS301A |
Contribute to workplace safety |
PSPOHS401B |
Implement workplace safety procedures and programs |
PSPREG416A |
Conduct data analysis |