Type of institution: University/Higher Education Institution
Both government and industry in general face a current and future challenge in recruiting, developing and retaining workforce with skills in data analytics as applied to high-quality, data-informed decision-making. This program is intended for students who wish to acquire a broad skills base in applied data analytics covering computing, social science, and statistical topics. The program is design to provide student with exposure to best practice in data analytics and cutting edge courses in areas of relevance to data analytics practitioners.
- Social science
Standard entry requirements
Approved Honours or Bachelor degree plus one year of work experience, or international equivalent with a GPA of 4 in any discipline from a recognised university.
Applicants who have completed a degree in a cognate discipline may be eligible to receive credit towards their degree. Cognate areas include: Physics, Statistics, Finance, Actuarial Studies, Computer Science, Information Technology, Criminology, Sociology, Political Science, Psychology, Epidemiology/Public Health, Anthropology, and Demography/Population Studies.
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