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)