Graduate Diploma in Data Science

The Graduate Diploma in Data Science is an ideal starting point if you’re interested in joining this booming industry and do not have a background in computer science or statistics. Your first step towards a new career Through this course you’ll develop fundamental skills in both computer science and statistics, so you can keep pace with the rapidly changing demands of a data-driven job market – and world. You’ll be shown how to use statistical tools, techniques and methods along with in-depth analysis and evaluation, to solve real-world problems in the data realm. Option to transition into the Master of Data science When you successfully complete the Graduate Diploma, you can supercharge your qualification by enrolling in the Master of Data Science (subject to meeting the requirements). You’ll receive course credit, meaning that you can complete both the Graduate Diploma and the Master of Data Science in just 2.5 years. Further study When you successfully complete the Graduate Diploma with a weighted average mark of above 65%, you may be eligible to move into the Master of Data Science and receive up to 50 credit points of advanced standing. This means that you can complete both Graduate Diploma in Data Science and the Master of Data Science in just 2.5 years of study. IBM predicts that demand for US data scientists will grow 28% by 2020, and there’s a similar trend worldwide. Career outcomes Data science graduates go on to work as: Data scientists and analysts Business intelligence analysts Software engineers Data infrastructure engineers Statisticians Employers in this field include: Consulting firms such as EY, KPMG and Accenture Financial services companies including ANZ, CBA and NAB IT corporates such as IBM, Microsoft and Telstra Academic and public research institutions such as universities and the CSIRO Technical and professional skills On graduating from the course you’ll have a broad education in the use of statistical and computational tools to make sense of big data. Additionally, you'll develop the following technical and professional skills: Problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies Analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis Time management skills: the ability to meet regular deadlines while balancing competing commitments Programming and computing skills: the ability to use statistical computing packages and implement algorithms.