kNOwVAWdata course: applied learning to measure violence against women
The University of Melbourne in partnership with UNFPA, ANROWS and the Australian Department of Foreign Affairs and Trade (DFAT) is pleased to offer the kNOwVAWdata training program; a course specifically tailored toward Violence Against Women (VAW) prevalence data, data literacy, measurement and analysis.
Globally, VAW is an urgent public health issue – however the technical capacity to collect this kind of data safely and accurately is limited.
Who should attend? You will find this program valuable if you are a representative from a national statistics office, government agency, women’s or gender machinery, or if you are a practitioner, researcher or consultant addressing violence against women.
Find out more about bridging this skills gap and ultimately optimize response efforts.
Duration: 4 weeks face to face (two weeks in Fiji 19 – 30 August 2019, two weeks in Melbourne 11-22 November 2019)
Fees: Course fees: $4,200 + travel costs (Click here for details)
Domestic and Family Violence (online
course)
The domestic and family violence reform agenda has recognised that up skilling the workforce is a central aspect of preventing current and future violence. This subject provides foundational knowledge in addressing domestic and family violence, and the content is informed by cultural, structural, relational and individual understandings of domestic and family violence.
This online subject focuses on gendered patterns of domestic and family violence, the impact on children living with violence and abuse, and issues of diversity.
This subject can be completed as a
single subject for professional development over 8 weeks or as part of a
specialist certificate, graduate certificate or master’s qualification.
Who should attend? This online subject is aimed at a board range of professionals
whose job involves responding to the impact of domestic and family violence.
Duration: Term 2 (April) or Term 4
(October)
Fees: Dependent on your course and enrolment (Click here for details)
