RMIT's Bachelor of Data Science will develop skills in data analytics, statistics, computer science, machine learning, programming, mathematics, and data wrangling that will enable you to be central to business decision-making, corporate strategy and government planning. You will gain strong problem-solving skills, and learn how to effectively communicate your work to technical and non-technical audiences, work independently or as a team, and factor in relevant standards, ethical and legal considerations to your projects.
Using cutting-edge technologies, you will learn how to analyse and manage large amounts of data from various sources and evaluate their insights and solutions. You will gain hands-on experience using Python and R programming languages. Personalise your degree to suit your career aspirations, selecting from a wide range of majors and minors. Major in advanced data science, cyber security or enterprise systems. Specialise in AI, data analysis, cloud computing, mixed reality, software development and blockchain.
Gain industry experience and connections while you study through work integrated learning experiences. Opportunities include capstone projects, case studies and programming studios.
Data science experts contributed to the initial development of this data science course and continue to provide input to improve the degree. Their involvement ensures the degree remains relevant to your needs as a graduate and to the needs of employers. Learn and be inspired by academics with strong research backgrounds and links to industry, as well as sessional teachers, guest lecturers and industry practitioners. Engage with industry through work integrated learning (WIL) experiences, which will enable you to learn, apply and demonstrate your knowledge and skills in a workplace setting (real or simulated) and receive feedback from data scientists working in industry. WIL opportunities include completing an industry capstone project, where you will apply your data science knowledge to plan and execute a substantial research-based or industry-sponsored project. You will also complete a case studies in data science subject where you will receive feedback from data scientists working in industry.
