Data Science (Social Analytics)

Entry requirements

High 2:1 honours degree (or overseas equivalent)

You are expected to have a degree with a substantial proportion of social science content; as a minimum you should have completed two degree level units on topics from any of the following: sociology, psychology, anthropology, economics, history, human geography, political science, public health.

The following includes other skills/experience that would increase the chances of being selected:

• Evidence of applying statistical modelling to social sciences
• Non-academic experience with the application of statistical models to social issues
• Experience working on public policy issues or similar

In your application, you should demonstrate aptitude, knowledge and/or interest in three areas:

• data analytics and/or statistics;
• computational subjects; and
• pathway specific requirements.

These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.

Months of entry

September

Course content

The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including:

• Business and Management;
• Health Science;
• Social Sciences;
• Geography;
• Planning;
• Computer Science;
• Mathematics.

We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:

• computational skills;
• data analytical skills;
• data stewardship skills and knowledge;
• project design skills.