230704

Public Policy Analytics: Methodology, Design and Data

The course equips students with an understanding of methodology, research design, data management and the application of analytics in a public policy setting.

Course code

Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.

230704

Level

The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).

700-level

Credits

Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.

30

Subject

Humanities Social Sciences

Course planning information

Expected prior learning

Core courses of Master of Analytics Degree (158.739, 161.762, 161.777, 178.724)

General progression requirements

You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.

Learning outcomes

What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.

  • 1 Critically evaluate the key stages (data quality, utility, efficacy and context) in which analytics can contribute to the development, evaluation and implementation of public and social policy.
  • 2 Understand and critically appraise how data is used within a practical policy context.
  • 3 Present and communicate policy analytics in a range of contexts.
  • 4 Demonstrate how the practices and principles of data management are applied in a practical setting.
  • 5 Design a public policy study utilising the key skills of research design, methodology and ethics.
  • 6 Articulate and critically assess the implications of cross-cultural data demands and knowledge in a data rich environment.

Learning outcomes can change before the start of the semester you are studying the course in.

Assessments

Assessment Learning outcomes assessed Weighting
Written Assignment 1 2 3 6 20%
Participation 1 2 4 10%
Written Assignment 1 2 3 4 20%
Written Assignment 1 2 4 5 6 30%
Oral/Performance/Presentation 3 6 10%
Participation 1 2 4 10%

Assessment weightings can change up to the start of the semester the course is delivered in.

You may need to take more assessments depending on where, how, and when you choose to take this course.

Explanation of assessment types

Computer programmes
Computer animation and screening, design, programming, models and other computer work.
Creative compositions
Animations, films, models, textiles, websites, and other compositions.
Exam College or GRS-based (not centrally scheduled)
An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
Exam (centrally scheduled)
An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
Oral or performance or presentation
Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
Participation
You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
Portfolio
Creative, learning, online, narrative, photographic, written, and other portfolios.
Practical or placement
Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
Simulation
Technology-based or experience-based simulations.
Test
Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
Written assignment
Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.

Textbooks needed

There are no set texts for this course.

Course delivery details

No offerings available

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