Bachelor of Computer Science (Big Data)

Big Data can solve problems in science, society and business including population growth, transport, security, medical technology, trade and commerce. All sectors will have a demand for creative people with a background in quantitative analysis who can look for strategic insights in massive data sets, using techniques in data mining, data visualisation, data analysis, data manipulation and data discovery.

Computer scientists focus on the theoretical foundations and practical approaches to computation and its applications. They design methods and tools and write programs for computer applications. These applications can be in areas such as computer systems to control machinery, information management and big data, applications for mobile devices, stock market trend analysis, game design, visualisation of chemical reactions, neural network design, computational geometry for robot navigation, patient monitoring in hospitals, and much more.

This degree
You will be able to choose your major in your second year after studying a common core of subjects that links our computer science, IT and information systems degrees. Find your strengths and interests as you study the fundamentals of computer science and IT: programming, problem solving, network and communications, web technology, data management, system analysis, human-computer interaction, and project management. You’ll also complete a final-year capstone team project. You can choose to study a double degree with Engineering, Mathematics, Science, Creative Arts or Business. These programs of study will provide you with a broad experience of technology using various industry products from companies such as Microsoft, Apple, Oracle, SAP and Cisco.

What you will study
You will study subjects in data mining, big data management, database performance tuning, distributed systems and cloud computing. Learn to evaluate both structured and messy big data sets using the '4 Vs': Volume, Velocity, Variety, and Veracity. Volume represents the sizes of datasets at a level of Terabytes and even Petabytes. Velocity represents fast-changing data streams that require continuous analysis. Variety represents many different formats of data. Veracity represents uncertain and unreliable data.