
Overview
Taking a transdisciplinary approach, the Master of Data Science and Innovation at the University of Technology Sydney 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.
Careers
The course prepares students to participate in a variety of emerging careers with the growth of data science – data griot, data analyst, data artist, data journalist, mobile behaviour analyst, data-driven policy expert, advertising insight and online community manager, to name a few. While other offerings also provide the basis for these careers, this course provides an additional level of expertise, targeting professionals who have the desire to lead teams and organisations at the chief executive level.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Data Science for Innovation
- Statistical Thinking for Data Science
- Data, Algorithms and Meaning
- Data Visualisation and Narratives
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 24 months
- Part-time
- 48 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
Credits
Delivered
Disciplines
Business Intelligence & Analytics Innovation Management Data Science & Big Data View 80 other Masters in Data Science & Big Data in AustraliaExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
Other requirements
General requirements
CRICOS 084268K
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.
All applicants must satisfy the following requirements:
- bachelor degree, or higher qualification, in a relevant discipline, such as mathematical sciences, computer science, physics and astronomy, engineering, accounting, banking, finance and related fields, or economics and econometrics.
- minimum of three years professional/industry experience.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
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International
44256 AUD/yearTuition FeeBased on the tuition of 922 AUD per credit during 24 months.
- A small number of postgraduate courses offer government subsidised Commonwealth Supported Places (CSP).
Living costs for Sydney
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
- Australia Awards Scholarships (Australian Government Scholarships)
- Dr Chau Chak Wing Scholarship (KTP Master Degree)
- International Postgraduate Coursework Full Tuition Scholarship
- LATAM International Postgraduate Coursework Scholarship
- Postgraduate Academic Excellence Scholarship
- UTS 30th Anniversary Study Abroad Accommodation Scholarship
- UTS ATN-LATAM Scholarships
- UTS Grant for Masters by Coursework Students
- UTS Nepal Scholarship (Postgraduate Coursework)
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.