The Master of Analytics is delivered through a mixture of lectures, practicals, online materials, computer lab sessions, individual and group projects.
Classes are usually held once a week in the evenings. There are also opportunities for you to work as part of a team on projects and in consulting activities.
You will learn the fundamentals of statistics and computer programming and all the important tools including R, SQL, SAS Enterprise Guide, SAS Enterprise Miner, Python, Java, CPLEX, Gurobi and Arena, as identified by our industry partners.
Importance is placed on work-integrated learning and all analytics students have a project experience with our industry partners, working on real data.
Students who secure approved placements and internships in industry can have them counted towards the degree.
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.