Policy Analysis and Evaluation G (11794.1)
Please note these are the 2023 details for this unit
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | Online |
UC - Canberra, Online |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Business, Government & Law |
Discipline | Study level | HECS Bands |
Canberra School Of Politics, Economics And Society | Graduate Level | Band 2 2021 (Commenced Before 1 Jan 2021) Band 4 2021 (Commenced After 1 Jan 2021) Band 4 2021 (Commenced After 1 Jan Social Work_Exclude 0905) |
This unit addresses critical questions about how we interpret findings from policy analysis and evaluation to provide a sound evidence base for policy-making. Using real-life examples of a range of topics related to economics and public policy - such as education, health, tax transfer, or the labour market - the unit explores: the challenges of defining policy problems; analysing and evaluating evidence; understanding the relationships between factors or determinants of policy problems; choosing policy instruments; developing policy options; and, preparing and submitting policy advice. It introduces policy analysis tools, key modelling and evaluation techniques, such as regression analysis, and how to interpret their results to generate quality information for policy-making. The unit also discusses the strengths and constraints of modelling results. Further, this unit also introduces a more advanced ex-ante policy evaluation, microsimulation. Where relevant, technical skills in data application (Excel and Tableau) for regression analysis will be covered. At the end of this unit, students will be able to apply their policy analysis and evaluation skills to a decision-making table with confidence transparency and accountability.
1. Develop data analysis skills, including the use key research methodologies, common data-driven analysis, key modelling and evaluation tools and techniques;
2. Demonstrate fundamental technical proficiency in data applications for modelling and analysis;
3. Analyse the relationships between factors or determinants of policy problems; and
4. Apply critical thinking and communication skills to evaluate and interpret modelling results for the policy making process.
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
Learning outcomes
On successful completion of this unit, students will be able to:1. Develop data analysis skills, including the use key research methodologies, common data-driven analysis, key modelling and evaluation tools and techniques;
2. Demonstrate fundamental technical proficiency in data applications for modelling and analysis;
3. Analyse the relationships between factors or determinants of policy problems; and
4. Apply critical thinking and communication skills to evaluate and interpret modelling results for the policy making process.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
Prerequisites
11793 Data Analytics and Public Policy GCorequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.
Availability for enrolment in 2023 is subject to change and may not be confirmed until closer to the teaching start date.
Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2023 | UC - Canberra, Online | Study Block 1 | 09 January 2023 | Online | Dr Riyana Miranti |
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit
timetable.