• 專業(yè)概況
• 所屬院系
• 中國學生入學要求
• 課程信息

專業(yè)概況

在這里學什么？

The Master of Data Science is a professional degree for people who are passionate about drawing meaningful knowledge from data to drive business decision-making or research output. It will develop your analytical and technical skills to use data science to guide strategic decisions in your area of expertise. It also offers the flexibility to tailor learning to your professional and personal interests.

Data is a vital asset to any organisation. It holds valuable insights into areas such as customer behaviour, market intelligence and operational performance. Data scientists build intelligent systems to manage, interpret, understand and derive key knowledge from big data sets. If you have a strong mathematical or quantitative backgrounds, this degree will develop your analytical and technical skills in using data science to guide strategic decisions in your area of expertise. Leveraging the University of Sydney's research strengths, you will explore the latest in data mining, machine learning and data visualisation, while developing the skills to communicate data insights to key stakeholders effectively. If you have qualifications in areas such as health and education, a Graduate Certificate in Data Science can provide you with the data science capability to complement your existing skills and provide a pathway to the master's program.

Careers & future study

Graduate opportunities

The Master of Data Science will provide the knowledge, skills and experience to equip the graduate to operate independently as a data scientist within any application domain. The training it provides also supports several career paths, by: honing data skills at the frontier of machine intelligence research to become a data scientist for hire; up-skilling to build intelligent data-driven systems in an existing area of expertise (e.g., mining analyst); improving scientific research through training in data management, analysis, and modelling.

Future study options

The University of Sydney is a research intensive institution with a strong track record of technology transfer and commercialisation. Research activities in the School of Information Technologies focus on algorithmic and applications, enterprise computing, human-centred computing, and IT applications in health care. If you would like to be part of Sydney's IT research community, you may consider applying for admission to a higher degree by research. Students completing a research degree undertake supervised research and submit a written thesis at the completion of their studies in the degree of Master of Philosophy or Doctor of Philosophy.

Master of Philosophy (Engineering and IT)

Doctor of Philosophy (Engineering and IT)

所屬院系

進入哪個院系學習？ Faculty of Engineering

中國學生入學要求

為來自中國的學生設計 Applicants need to have one of the following: a bachelor’s degree with first or second-class honours from the University of Sydney or another approved institution; an equivalent qualification that demonstrates sufficient research experience and capability. English Language Requirements: TOEFL - IBT score: A minimum result of 96 overall including a minimum result of 17 in Reading, Listening and Speaking and 19 in Writing; IELTS score: A minimum result of 7.0 overall and a minimum result of 6.0 in each band; TOEFL - PBT score: A minimum result of 592 overall including a minimum result of 4.5 in Writing.

課程信息

學制：全日制(1 年)

學費：

開學時間：2022七月26日, 2022二月21日

申請截止日期：

留學地點：The University of SydneyCamperdown/Darlington Campus,Level 5, JFR (Jane Foss Russell) Building, 160 City Road,DARLINGTON,New South Wales,2008, SYDNEY, Australia