The Graduate Diploma of Data Analytics provides you with the specialist knowledge required to formulate solutions to complex data problems across a range of business settings – turning raw data sets into meaningful information to better guide business decisions. This course aims to prepare you for specialised careers in data analytics by providing you with advanced working knowledge in statistics and data science. You’ll draw on previous studies in IT, computing or related disciplines to focus on the specific application of data analysis in a business setting. You’ll get an understanding of the various origins of data to be used for analysis, combined with the central approaches and methods to manage, organise and manipulate such data, within regulatory, ethical and security constraints. You’ll learn fundamental aspects of data science, modern methods, techniques and applications of data science. You’ll learn how to identify problems and understand the various techniques and methods that can be used to solve them. You’ll be able to extract meaning from, make sense of, and draw conclusions from data. These skills will enable you to approach and represent different types of data, and to perform data analysis and statistical inference tasks of interest. Data security and its governance have now become key issues for all organisations. As such, the various ethical, regulatory and governance aspects of analytics systems will be covered. Potential privacy and security issues associated with large data sets and the results obtained from analytics on such data are examined in detail. As a graduate, you’ll be ready for a career as a software developer, computer systems analyst/architect/engineer, marketing manager, market research analyst and marketing specialist, management analyst, web developer, network and computer systems administrator, IT project manager, or computer or IT research scientist. Units in the course may include assessment hurdle requirements. Course structure To complete the Graduate Diploma of Data Analytics, students must attain 8 credit points. Most units (think of units as ‘subjects’) are equal to 1 credit point. So that means in order to gain 8 credit points, you’ll need to study 8 units (AKA ‘subjects’) over your entire degree. Most students choose to study 4 units per trimester, and usually undertake two trimesters each year. The course comprises a total of 8 credit points. Graduate outcomes Career outcomes Graduates of this course may find careers as software developers, computer systems analysts/architects/engineers, marketing managers, market research analysts and marketing specialists, management analysts, web developers, network and computer systems administrators, IT project managers, computer and IT research scientists. Course learning outcomes Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.