C06124v2 Graduate Diploma in Data Science and Innovation
Award(s): Graduate Diploma in Data Science and Innovation (GradDipDataScInn)CRICOS code: 084267M
Commonwealth supported place?: No
Load credit points: 48
Course EFTSL: 1
Location: City campus
Notes
This is an exit-only course. There is no direct admission to it. Current UTS students may be able to submit an Internal Course Transfer (Graduating) application to exit with this course. Check with your faculty's student centre.
Overview
Career options
Course duration and attendance
Course structure
Course completion requirements
Exit award
Other information
Overview
The Graduate Certificate in Data Science and Innovation is an exit-only qualification for the Master of Data Science and Innovation (C04372), a world-leading program of study in analytics and data science.
Taking a transdisciplinary approach, the master's 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.
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.
Career options
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.
Course duration and attendance
Students generally complete the required credit points in one year of full-time or two years of part-time study.
Course structure
Students must complete 48 credit points in total, including 12 credit points of free electives.
Disregard the % sign in the course completion requirements.
Course completion requirements
| STM90984 Data Science Practices | 24cp | |
| 36102 iLab 1 | 12cp | |
| CBK91831 Options (Data Science and Innovation PG) | 12cp | |
| Total | 48cp |
Exit award
This is an exit-only award for students enrolled in the Master of Data Science and Innovation (C04372).
Other information
For further information, contact the UTS Student Centre:
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222
Ask UTS