悉尼科技大学

The Master of Business Analytics is a unique transdisciplinary program of study in business analytics. With subjects drawn from UTS Business School, the Faculty of Engineering and Information Technology and the Faculty of Transdisciplinary Innovation, students are provided with a course structure that fits their background and experience, as well as flexible specialisations to meet new needs and career interests. The course is delivered in blended mode, combining contemporary online and face-to-face learning experiences in UTS’s leading-edge facilities. In addition to the on-campus degree, UTS offers an online Master of Business Analytics.

This course has been developed in consultation with industry in response to major global shortages in people with analytics skills, including a predicted shortfall of over 180,000 people with deep analytical skills and five times that number of data management and interpretation skills.

Course aims

A unique feature of the Business Analytics program is the inclusion of studios, where students apply the technical skills they develop onto real-world projects. Students in the Master of Business Analytics have the option of specialising in a wide choice of streams including Business Services Analytics, Data Analytics, Financial Analytics, Marketing, Software Development and Interaction Design stream.

Course structure

The course totals 72 credit points and consists of a combination of core, including foundation stream, and elective subjects.

Careers

The course is suitable for students from both business and IT backgrounds who seek to upskill and develop the skills required to meet the growth in emerging careers in business analytics. Career options are incredibly varied as virtually every company in every industry now collects huge amounts of data that needs to be interpreted and analysed to inform decision-making. Graduates from this program are able to provide valuable insights on matters such as fraud detection, and logistics optimisation through to customer acquisition and retention and demand forecasting.