Bachelor of Advanced Computing and Bachelor of Commerce - Computational Data Science

The University of Sydney

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 Bachelor of Advanced Computing/Bachelor of Commerce is a combined undergraduate coursework degree that will develop your knowledge and skills in computing while cultivating business expertise. Underpinned by critical analytical and leadership skills, this course is accredited by the Australian Computer Society.You will complete core units that cover the skills needed to work as a computing professional, along with a major from the Advanced Computing disciplinary pool and advanced computing elective units.Additionally, you will complete Commerce degree core units and a major from the Commerce disciplinary pool. You will also complete units from the Open Learning Environment and elective units as needed to meet the requirements of the course.

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