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.
IELTS (Academic): 6.5 overall, writing 6.0
TOEFL (Internet-based): 79-93 overall, writing 21
PTE (Academic): 58-64
CAE: 176-184
AE5/AE6 (PASS): AE5
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.
Work experience/industry placement is an important component of the course.
This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study (2011). The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone.
The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.
CRICOS: 084268K
More info: Click here
First year
Autumn session
Data science for innovation
Statistical thinking for data science
Data, algorithms and meaning
Spring session
Select 12 credit points from the following:
Options (data science and innovation)
Ilab 1
Second year
Spring session
Select 12 credit points from the following:
Options (data science and innovation)
Ilab 2
The course prepares students to participate in a variety of emerging careers with the growth of data science – data scientist, data engineer, data griot, data analyst, data artist, data journalist and data-driven policy expert, to name a few. While other offerings also provide the basis for these careers, this unique transdisciplinary course is the first of its kind in Australia where creativity and innovation are integral components, producing industry-ready graduates with strong technical, creative thinking and data ethics skills.
OSHC 530 ($) AUD per year
