The Master of Analytics prepares students for statistical analysis in the business world. With a diverse range of electives there is a focus on work-integrated learning. Analytics is the science and art of analysing data to make better informed decisions. It builds on the tradition of statistics and operations research, bringing together tools and expertise from computer science, engineering and business.
This blend of disciplines makes analytics unique in its capacity to solve critical real world problems. Students will learn how to use data to make informed decisions that make significant contributions to the success of organisations, which provides a rewarding and valued career path. This degree allows students to choose from a diverse range of electives combined with a strong core of statistics and operations research.
Students will learn:
- 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 students to work as part of a team on projects and in consulting activities.
- They 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 the industry partners.
- Importance is placed on work-integrated learning and all analytics students have a project experience with the industry partners, working on real data.
- Students who secure approved placements and internships in industry can have them counted towards the degree.