Handbook

PREREQUISITE: Enrolment in the Bachelor of Applied Data Science Advanced (Honours) and completion of 144 credit points of study.

The objectives of this unit are to introduce students to topical research in data science, develop their research skills such that they can undertake independent research and develop their written and oral communication skills to a professional standard. Therefore, the most appropriate learning method is active learning, which is achieved through industry placements and weekly seminars.

You will be embedded in organisations and undertaking active learning. You will apply your accumulated knowledge to critically analyse the relevant literature, plan and complete projects, interrogate large and complex data-sets, implement advanced machine learning algorithms on the data, research new data science techniques to apply to your project, and communicate your results to a range of stakeholders through written and oral presentations (LO1-LO7).

• Applies to all offerings

A total of 24 hours per week comprising:

• Attendance at a 1-hour seminar;
• 1-hour consultation with the supervisor;
• 17 hours per week of research (averaged over the semester);
• 4 hours per week writing the report (averaged over the semester) and
• 1 hour per week preparing the oral report (averaged over the semester).