If by that they meant that jobs in data science are increasing dramatically, that data scientists can work in fields as diverse as health, retail or ecology, and that data scientists are commanding high salaries, then they were spot on. After all, we're creating more than 2.5 exabytes of data every day. Someone needs to make sense of it all. A course tailored to you You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline. Flexibility to follow your interests Core subjects will give you a solid grounding in data science, so you’ll have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data. Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science. Sharpen your skills with the capstone project You’ll leave the course with a major data science project to feature in your CV. In the capstone project, you’ll apply data science tools to a practical problem, working individually or as part of a team to showcase your skills. More than just technical skills We know that you’ll need more than technical capability to succeed in the workplace. To round out your skill set, you can choose from professional skills subjects, such as scientific communication, so you can start your data science career with confidence. If you’d like to gain more real-world experience, you can choose to complete an internship in a science or technology-related workplace for course credit. Course structure Successful completion of 200 credit points, made up of: Core statistics subjects (50 points) Core computer science subjects (50 points) Elective subjects (75 points), including prerequisite subjects if needed (up to 50 points), data science or professional skills subjects or a research project. Capstone data science project (25 points) Your elective subjects will be tailored to you, depending on your previous academic background and your interests. Career outcomes IBM predicts that demand for US data scientists will grow 28% by 2020, and there’s a similar trend worldwide. Our graduates go on to work as: Data scientists and analysts Software engineers Data infrastructure engineers Business intelligence analysts 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.