Type of institution: University/Higher Education Institution
The sheer volume and complexity of data at the fingertips of business gives rise to challenges that must be solved by tomorrow's graduates. Modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions. You will explore the various origins of data and the methods to manage, organise and manipulate data within regulatory, ethical and security constraints.You will develop specialised skills in categorising and transferring raw data into meaningful information for the benefit of prediction and robust decision-making. You will gain the technical skills to harness the power of data through artificial intelligence and machine learning to develop innovative solutions to the challenges being faced by industry and governments. With a growing demand for data specialists in every sector, you will be equipped with the skills to optimise performance and add a competitive advantage.
To complete the Master of Data Science (Professional), students must attain 16 credit points. The course is structured in three parts: Part A. Core Data Science Studies (8 credit points), Part B. Specialisation (4 credit points), and Part C. Professional Studies (4 credit points).
- AI and Computer Vision
- Analytics in Internet of Things
- Blockchain and Software Development
- Business analytics for Data ScienceCyber Security
- Information Systems for Data Science
- Networking and Cloud Technologies
Standard entry requirements
Bachelor’s degree in a related discipline, ORBachelor’s degree in any discipline and two years relevant work experience ORGraduate Certificate of Information Technology OREvidence of academic capability judged to be equivalent.Deakin University offers admission to postgraduate courses through a number of Admission categories.All applicants must meet the minimum English language requirements.Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.
Pathways for students to enter the Master of Data Science (Professional) are as follows:Graduate Certificate of Information Technology (followed by a 16 credit point Master of Data Science (Professional;Graduate Certificate of Data Analytics (followed by a 12 credit point Master of Data Science (Professional);Graduate Diploma of Data Science (followed by a 8 credit point Master of Data Science (Professional);Master of Data Science (followed by a 4 credit point Master of Data Science (Professional).
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Campuses: Melbourne Burwood.
Fees to be confirmed