Bachelor of Computer Science (Artificial Intelligence and Big Data)

Course summary

As data sets continue to expand exponentially, connecting data with artificial intelligence technology can provide new insights that are critical to solving complex problems.

Big Data can solve problems in science, society and business including population growth, transport, security, medical technology, trade and commerce. However, data first needs to be processed and refined so we can gain intelligence and make better decisions.

Artificial Intelligence (AI) aims to develop computer software and hardware to enable machines to learn from experience, adapt to new, incoming information and tackle tasks that require human-like thinking.

The most common examples of AI today - from chess computers to driverless vehicles - are based on deep learning, computer vision and natural language processing and various other methods. With these technologies, computers can be trained for specific tasks by processing large amounts of data and recognising patterns in the data.

AI is being integrated into every major technological system in the world in healthcare, legal and financial services, manufacturing, education, transport, agriculture, mining and other industries where automation and robotics can enhance production and improve safety.

What you will study

You will study subjects in the foundation of AI and Big Data, augmented and virtual reality and complete subjects in foundations of AI, modern AI, Big Data management, Big data mining techniques and implementation.

This degree

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, multimedia content understanding, applications for mobile devices, stock market trend analysis, game design, visualisation of chemical reactions, neural network design, robot navigation, patient monitoring in hospitals, and much more.