關於課程
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.
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.
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.
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.
In the major's capstone project, you will undertake an interdisciplinary project applying these skills to an authentic problem.
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.
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.
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.
In the major's capstone project, you will undertake an interdisciplinary project applying these skills to an authentic problem.
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開始日期及學費
學費僅供參考。立即與我們的留學顧問聯繫了解最新資訊。
- 課程總長: 4 Year(s)
- 費用: 無法取得
In學年take | 位置 |
---|---|
Semester 2 (July), 2024 | Camperdown |
Semester 1 (February), 2025 | Camperdown |
Semester 2 (July), 2025 | Camperdown |
來自大學信息
如何申請
Entry requirements for 雪梨大學
IB Diploma - 34
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
TOEFL PBT - A minimum result of 565 overall including a minimum result of 4.5 in Writing
English language requirements
托福(TOEFL iBT)總分: 85.0
最後申請期限:
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關於雪梨大學
CRICOS碼:093855E
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