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
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.
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 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.
Course structure
Course structure explained
Students must complete 96 credit points (CP), comprising 44CP core subjects, 32CP specified data science related optional subjects and 20CP elective subjects. Elective subjects can be selected from data science related subjects and from across the University’s disciplines.
Enrolment in subjects from other faculties may require submission of an e-request and be dependent on approval from the subject coordinator of the host faculty, and usually requires demonstrated ability to meet pre-requisites. This flexible course structure enables students to pursue their own particular interests and career aspirations.
Students who have completed certain components of this course may qualify for a Graduate Certificate in Data Science and Innovation (C11274) or Graduate Diploma in Data Science and Innovation (C06124).
Industrial training/professional practice
The iLabs and internship projects provide the opportunity for students to design investigations utilising contemporary data discovery techniques and large, complex, multi-structure data sets. The study can focus on the student's current work environment, or industry placements can be negotiated in a discipline of interest.
Who we are
UTS is a public university of technology defined by our support for the economic, social and cultural prosperity of our communities. We are measured by the success of our students, staff and partners and committed to research, innovation and the dissemination of knowledge of public value. We are, and always will be, an inclusive university.
UTS has a culturally diverse campus life and vibrant international exchange study and research programs that prepare graduates for the workplaces of today and the future. Our campus is in the heart of Sydney's creative and digital precinct and alongside Sydney's central business district.
Continuing a 10-year period of major development, the ongoing transformation of the UTS campus will ensure we continue to maintain and develop a purpose- and sustainably-built campus to support innovation in education and research.
Our UTS 2027 strategy outlines our vision to be “a leading public university of technology recognised for our global impact” . Our purpose is to advance knowledge and learning through research-inspired teaching, research with impact and partnerships with industry, the professions and community.
UTS is part of the Australian Technology Network of universities: a group of prominent universities committed to working with industry and government to deliver practical and professional courses.
With a total enrolment of over 44,000 students, UTS is one of the largest universities in Australia.
What we do
UTS offers over 130 undergraduate and 210 postgraduate courses across traditional and emerging disciplines such as architecture, built environment, business, communication, design, education, engineering, information technology, international studies, law, midwifery, nursing, pharmacy and science.
In line with the UTS model of global practice-oriented learning, many of our students undertake professional practice during their degree. As part of their degree program, students also have the opportunity to study at one of more than 185 universities in about 40 countries with which UTS has exchange agreements.
Our world leading research centres span a range of disciplines, including physical, biological and engineering sciences, and contemporary fields such as design, nanotechnology and sustainability.
Our researchers provide practical and relevant solutions to issues of national and international importance and equip graduates with the latest discipline specific skills and practices.
We also maintain strong relationships with the local community, industry, business and the professions through a wide range of partnerships, projects and events.
As a public purpose institution, UTS is committed to supporting positive social change within and beyond our campus. This commitment is reflected by a diverse set of institution wide social justice initiatives that have only expanded in scope and impact since UTS was established.
Student-based programs, focused research and innovative teaching approaches aim to create a more just and equitable world.
Our history
On 26 January 1988 — with the commencement of the University of Technology, Sydney, Act — the former New South Wales Institute of Technology became the University of Technology, Sydney.
The New South Wales Institute of Technology was established in 1964. The School of Design of the former Sydney College of the Arts was incorporated into the Institute on 25 January 1988.
On 1 January 1990, the Institute of Technical and Adult Teacher Education and the Kuring-gai College of Advanced Education were amalgamated with the existing University of Technology, Sydney to form the current UTS. On 1 August 2015, the comma was removed from the University’s title to become the current University of Technology Sydney.
The purpose and functions of UTS are outlined in the University of Technology Sydney Act 1989 (NSW) and in the constitutions of its controlled entities.
Our academics are world leaders in research and have strong industry ties that ensures the relevance of teaching material and high-quality learning experiences for students. This course now offers Commonwealth Supported Places which makes it over 60% more affordable. Eligibility criteria applies...
Data science professionals are in high demand in today's data-driven world. Whether you're already working in data science, or you're ready to make a career change, our Master of Data Science prepares you for a successful career in this exciting field.
The Master of Data Science gives you the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data-management tasks, to master the statistical and machine-learning foundations
With a Master of Data Science, you'll cement your place in one of the world’s most in-demand professions and gain the skills to become a leader within the field through a unique combination of interdisciplinary coursework, research methodology, and comprehensive industry-based training.
Increasingly, companies are using large datasets that have been generated by business activities and social media to uncover trends and insights that can be used to tailor products and services, anticipate demand, improve performance, or contribute to solving complex social
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