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悉尼科技大學(xué)-數(shù)據(jù)科學(xué)與創(chuàng)新碩士

Master of Data Science and Innovation(碩士)

專業(yè)概況

在這里學(xué)什么?

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.

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.

Course structure

Student must complete 96 credit points (CP), comprising 44CP core subjects, 32CP specified data science related optional subjects and 20CP elective subjects.

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).

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.

所屬院系

進(jìn)入哪個(gè)院系學(xué)習(xí)?

Faculty of Transdisciplinary Innovation

中國(guó)學(xué)生入學(xué)要求

為來(lái)自中國(guó)的學(xué)生設(shè)計(jì)

For admission into most postgraduate courses, you are required to hold a recognized bachelor's degree equivalent to an Australian bachelor's degree. Your academic performance at the bachelor's level will be considered as part of your application assessment. In some instances, you may also require relevant work experience and/or research experience. English language requirements: 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.

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課程信息

學(xué)制:全日制(2 年)

學(xué)費(fèi):A$41,328.00 (¥ 203,173) /年

開(kāi)學(xué)時(shí)間:2022七月24日

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