This course focuses on the empirical component of the dissertation topic chosen in MHN711. In this course you will undertake data analysis based on existing datasets, which may be part of larger program of research and build on previous work carried out to date. The secondary data analyses may be quantitative or qualitative, with a focus on the methodology and statistical approaches undertaken. This empirical paper should represent an original contribution to the literature, relevant to the topic. This course has limited places and is subject to the consent of the course coordinator.

Course detail

Prerequisite

Course Coordinator Consent and Successful completion of 96 units in AR706 including MHN711. Minimum GPA of 5.0 (MHN701, (MHN712 or MHN703) MHN706, MHN707).

Offered Subject to change

• Online: Trimester 1, Trimester 2, Trimester 3

Units

24.00

Tuition fee

2.2A:Computing, Built Environment, Other Health

Census date

Academic Calendar

Class timetable

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Course outline

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Students enrolled in this course should check the course Canvas site to ensure that they are accessing the most recent approved version of the course outline.