Bachelor of Advanced Computing in Computational Data Science
  • 学历文凭

    Bachelor Degree

  • 专业院系

    信息系统

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

IB Diploma - 34
A secondary education qualification such as the NSW Higher School Certificate (including national and international equivalents), OR approved higher education study, including approved preparation courses.

IELTS - A minimum result of 6.5 overall and a minimum result of 6.0 in each band
TOEFL IBT - A minimum result of 85 overall including a minimum result of 17 in Reading, Listening and Speaking and 19 in Writing
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:85
  • 托福笔试总分:160
  • 其他语言考试:Pearson Test of English - A minimum result of 61 overall and a minimum result of 54 in each band
CRICOS代码:093855E
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课程简介

The Bachelor of Advanced Computing is designed with your computing career in mind. This accredited degree by the Australian Computer Society will develop practical and theoretical skills across the computing, information technology and business transformation industries. In Australia's most innovative computing course, you can combine your passion for computing with a shared pool of more than 100 cross-disciplinary majors as you cultivate specialist industry knowledge and computing expertise. As an advanced computing student, you will learn from leaders in the field. First year covers the core skills required to become a computing professional before you specialise in a major that aligns with your preferred career pathway: computer science, information systems, software development or computational data science.<br><br>The Computational Data Science major will develop your mathematical, analytical and technical skills to create solutions to guide data-driven decision making. Data scientists build intelligent systems to manage, interpret, understand and derive key knowledge from big data sets.<br><br>Leveraging the University of Sydney's research strengths, you will explore the latest in computational statistics, large-scale data processing, data mining, machine learning and data visualisation, while also developing the skills to effectively communicate data insights to key stakeholders.<br><br>The programming, data analytical and machine learning skills that you will develop can be applied across any industry or science, and are highly valued in professional, research and development roles. Data is a vital asset to research and industry. The ability to effectively collect, clean, manage and analyse large or complex data sets is central for all engineering disciplines and data-intensive sciences, such as astronomy, biology and physics. For business, it delivers valuable insights into areas such as customer behaviour, market intelligence and operational performance.<br><br>In the major's capstone project, you will undertake an interdisciplinary project applying these skills to an authentic problem.
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学校排名

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60

数据源:泰晤士高等教育世界大学排名

关于悉尼大学

位于澳大利亚首都的悉尼大学是举世闻名的机构,一直名列世界前20名大学之列(2024年QS世界大学排名)。在2022年QS毕业生就业能力排名中,悉尼大学的毕业生也位居澳大利亚第一和世界第四。来自世界各地的学生进行本科和研究生水平的学习。学生可以在澳大利亚最广泛的课程和学科中选择。该大学提供超过400个学习领域供学生选择,大学5门学科位居世界前十名,另外还有28门学科位居世界前50名(2022年QS世界大学学科排名)。通过实习和工作经验以及通过大学海外项目进行国际交换(包含在学位内的可选项目),从而增加了学生的就业机会。学生将在支持和启发的环境中学习和发展,大学会提供给学生大量的服务,这包括学术和专业支持,残疾服务,保密咨询服务,健康服务还有财务援助办公室提供服务。学生还可以参加由悉尼大学学生会(USU)运营的250多个校园俱乐部和社团,从体育运动到文化团体应有尽有。校园内有许多可供学生使用的设施,其中包括带奥林匹克规格温水游泳池的健身室和攀岩中心。此外,还有美术馆、博物馆、咖啡馆、餐厅和酒吧供学生休闲。学生还可以使用南半球最大的学术图书馆。悉尼是世界上最优秀的城市,根据《经济学人》2021年安全城市指数显示,悉尼被评为第四大最安全的居住地,当地的学生体验得以丰富和提升。

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