This course will provide students with an understanding of how data is currently used to inform decision making and how data might be used more effectively to inform business, service delivery and policy questions. The course will build on student knowledge across a range of analytical techniques with a focus on the practical application of these techniques to real world problems. It is structured around a number of case studies drawn from business, the community sector and the public sector. Key themes include:
- the ways in which data and empirical analysis can help inform real world decisions;
- strengths and weaknesses of different types of data and empirical evidence;
- the assumptions underlying some of the main analytical techniques used in decision making; and,
- how to use data persuasively- how to used data in a tactical and strategic way.
Upon successful completion, students will have the knowledge and skills to:
- interpret data to inform real world decisions;
- understand the assumptions, strengths and limitations of different types of data for informing decision making;
- develop robust analytical questions and identify the most effective techniques to answer these questions;
- communicate complex data to a non-specialist audience; and,
- assess the robustness of data for decision making.
- Class participation (10%) (10) [LO 1,2,3,4,5]
- Written Critique (1,500 words) (30) [LO 1,2,3,4,5]
- Data Report (2,500 words) (40) [LO 1,2,3,4,5]
- Oral presentation of data report (Assignment 2) (10 minutes) (20) [LO 4]
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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Workload130 hours of total student learning time made up from:
a) 36 hours of contact over 12 weeks: face-to-face lectures, tutorials and online activities.
b) 94 hours of independent student research, reading and writing.
Requisite and Incompatibility
Prescribed TextsTo be provided on the course Wattle site.
Assumed KnowledgeBasic understanding of key social research methods.
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|9098||27 Jul 2020||03 Aug 2020||31 Aug 2020||30 Oct 2020||In Person||N/A|