Data Quality M

Course aim

To introduce students to the important concepts in data quality, and to develop the skills required to analyse data quality problems, propose solutions, and justify the solution based on a cost/benefit analysis.

Course content

Introduction to data quality; cost/benefit trade-offs; assessing data quality; sampling for data quality assurance; data quality problem patters; causes of data quality problems; managing information as a product; information product maps; data quality policy.

Textbook(s)

Nil

Prerequisite(s)

Nil

Corequisite(s)

Nil

Teaching method

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Examination, In-workshop assessed activities, On-line workshop assessed activities, Report 1 - an analysis of the data quality of an example information management system., Report 2 - development of a data quality management plan and n associated cost-benefit analysis.

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.