Data Analytics and Public Policy G (11793.1)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| Online
|| UC - Canberra, Online
|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)
Students will learn how to summarise highlights, identify patterns, trends and present statistical results. This includes interpreting data, understanding its quality and limitations, and communicating it meaningfully to policy makers. The unit explains how the data and analysis are used to describe the extent and characteristics of issues and factors associated with them, how the data is used and communicated to develop the design of the policies and programs and how it is interpreted and visualised to monitor progress and measure/evaluate achievements/outcomes.
Students will also explore Excel as a tool to facilitate the data analysis and interpretation and will be introduced to Tableau for data visualisation.
Learning outcomesOn successful completion of this unit, students will be able to:
1. Apply fundamental data statistics methods;
2. Identify, query, critically analyse and select the appropriate data required for each stage of a policy making process;
3. Evaluate and interpret data sources, data collection; and
4. Summarise and communicate highlights, visualisations, patterns and trends to assist with policy decision making.
Graduate attributes1. UC graduates are professional - communicate effectively
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
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 - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
|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|
|2023||UC - Canberra, Online||Study Block 4||03 July 2023||Online||Dr Riyana Miranti|
|2024||UC - Canberra, Online||Study Block 2||11 March 2024||Online||Dr Riyana Miranti|
|2024||UC - Canberra, Online||Study Block 3||06 May 2024||Online||Dr Riyana Miranti|
|2024||UC - Canberra, Online||Study Block 6||21 October 2024||Online||Dr Riyana Miranti|
None - there is no specific textbook required for this unit.
Access to the key readings is provided on Canvas.
Submission of assessment items
Extensions & Late submissions
Students may ask for an approved extension to a maximum of 5 days, unless they have Reasonable Adjustment Plan (RAP).
Special assessment requirements
- Referencing style: APA7
- Only Word (*doc or *docx) to be uploaded
- Submission via the teaching site in UC Learn; access to draft plagiarism checking via Ouriginal is available
- In submitting, students acknowledge that they have presented their own work and that they have acknowledged fully when relying on the knowledge or sources of others.
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
The tutorial attendance is not mandatory, but strongly encouraged.
These sessions will provide learners with the opportunity to have synchronous (at the same time) learning experiences with the teaching staff and with your fellow learners from across the unit.
Required IT skills
You will need to have access to, and familiarity with using, Microsoft Word and Power Point.
You will also be introduced to access the ABS TableBuilder, Excel and Tableau.
Work placement, internships or practicums