Your learning involves a varied mix of study modes, such as project work, seminars, online and flexible learning.
Assessment in this course includes assignments and projects, reflective journals, assessed tutorials and presentations and self or peer assessment.
You'll learn about applied mathematical and statistical knowledge and methodologies, how to use critical analysis to solve a range of data science problems, analyse problems, use a range of communication skills to interpret data and insights and be able to reflect on your practice.
Blended learning options
Courses offered as part of blended learning programs include a meaningful blend of online, on-campus, and workplace based learning tailored to the type of study you undertake. This learning is active, prioritising tasks that involve exploration and development of skills and knowledge through interaction and engagement.
Online aspects provide positive benefits such as flexibility and adaptability using digital activities and materials, while also strengthening the interaction and connection with timetabled and on-campus experiences such as tutorials, practicals, or workshops.