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Bachelor of Advanced Computing in Computational Data Science
We provide Bachelor of Advanced Computing in Computational Data Science. We will wholeheartedly provide you with the best quality educational resources and support. We are committed to helping every student achieve greater success in this professional field and lay a solid foundation for future career development.
Bachelor of Advanced Computing in Computational Data Science

  

About the course

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. Scholarships - View all scholarships Internships

  

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

  Duration: 4 Year(s)Fees: Not available

Intake Location
Semester 1 (February), 2024 Camperdown
Semester 2 (July), 2024 Camperdown
Semester 1 (February), 2025 Camperdown
Semester 2 (July), 2025 Camperdown

  

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How to apply

Entry requirements for The University of Sydney

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

  6.5

  Overall IELTS band score

  Book IELTS

  About IELTS

  Practice and prepare

  TOEFL Internet based overall score: 85.0

  

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

  

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at The University of Sydney. If you want to find out more, please speak to our counsellors.

  Pathway options to study at this institution

  

Reviews and rankings

World ranking

  60th / 1250

  THE World ranking

  

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