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AIRC

Business Administration

Business Administration

University of Technology Sydney

The University of Technology Sydney is a public research university located in Sydney, Australia. Although its origins are said to trace back to the 1870s, the university was founded in its current form in 1988. As of 2020, UTS enrols 46,328 students through its 9 faculties and schools.

Master of Business Administration

Yearly 44460 ( AUD )
Applicants must have completed a UTS recognised bachelor’s degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

The academic qualification used to support the application for admission must:

⦿ have been completed with a GPA of at least 4.0 on a 7.00 GPA scale, and
⦿ be in a relevant discipline, such as information technology, mathematical sciences, physics and astronomy, engineering, accounting, business and management, banking, finance and related fields, or economics and econometrics.

If the applicant’s academic qualification is not in the above listed disciplines, but they do have at least two-year full time, or part-time equivalent, work experience in data analytics, database management or programming related fields, they may be considered for admission. To support their application they must provide:

⦿ a C.V. outlining work experience and education, as well as other relevant evidence and information, and
⦿ an official Statement of Service, from the employer, confirming the dates of employment, and a description of the position held within the organisation.
The Master of Data Science and Innovation is a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS’s leading-edge facilities. Industry partnerships and engagement are a core part of the course. The course curriculum and subjects are co- designed and developed by UTS academic data experts and industry partners, and regularly reviewed and updated to keep up with the current market needs and latest data science trends. During the course study, students have abundant opportunities working on real world data sets/projects.
⦿ February
⦿ July
Yearly 44460 ( AUD )
Applicants must have completed a UTS recognised bachelor’s degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

The academic qualification used to support the application for admission must:

⦿ have been completed with a GPA of at least 4.0 on a 7.00 GPA scale, and
⦿ be in a relevant discipline, such as information technology, mathematical sciences, physics and astronomy, engineering, accounting, business and management, banking, finance and related fields, or economics and econometrics.

If the applicant’s academic qualification is not in the above listed disciplines, but they do have at least two-year full time, or part-time equivalent, work experience in data analytics, database management or programming related fields, they may be considered for admission. To support their application they must provide:

⦿ a C.V. outlining work experience and education, as well as other relevant evidence and information, and
⦿ an official Statement of Service, from the employer, confirming the dates of employment, and a description of the position held within the organisation.
The Master of Data Science and Innovation is a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS’s leading-edge facilities. Industry partnerships and engagement are a core part of the course. The course curriculum and subjects are co- designed and developed by UTS academic data experts and industry partners, and regularly reviewed and updated to keep up with the current market needs and latest data science trends. During the course study, students have abundant opportunities working on real world data sets/projects.
⦿ February
⦿ July
Download PDF For More Details
Download PDF For More Details