Computing and Data Science

This bachelor degree programme (Bsc) is designed to equip students with practical skills and technical knowledge about computer communications, systems and networks. This bachelor degree proramme also prepares graduates for a range of careers within the international computer networking industry for employment such as computer network engineers, designing, analysing and developing networks in both large and small organisations; or as managers involved in maintaining and developing computer networks to meet current and future operational and security requirements.

The programme aims to prepare students for both an industrial career with skills in the fields of networks, sensor technologies, pervasive computing, embedded systems, signal processing, security, statistical analysis and data analytics in addition to providing a relevant platform to embark on further research study. Students will also be able to apply the acquired skills in the development of Internet of Things (IoT) systems and applications. Students will be introduced all the core taught material and understand a range of topics and skills associated with the creation, evaluation and deployment of IoT systems and applications.

The programme aims to provide students with essential knowledge of robotic process automation (RPA) in streamlining workflow and improving business operations. It covers the design, development and implementation of RPA with illustrations using computational tools. Practical applications and cases of RPA for business and finance will be discussed.  
 

This programme aims to provide students with knowledge about Artificial Intelligence and Deep Learning in Quantitative Finance as well as their latest developments and applications to finance and investment. It covers various learning algorithms and neural networks as well as machine intelligence to facilitate finance and investment decision making.

This programme aims to provide students with knowledge in Big Data and Business Analytics for management decision-making. Students are expected to be familiar with different big data analyses, tools and methodologies. The programme provides an insight on how business world is using Big Data to improve their business models. 
 

This programme aims to provide students with updated knowledge of Blockchain and its practical applications in the finance and investment fields. It gives an overview of the Blockchain market and introduces students to the basic concept and jargons of Blockchain. The programme also provides the latest market landscape, insight and discussion on the application of Blockchain from the regulatory and legal perspectives.
 

Records are an essential tool and valuable resources for good business and efficient administration.

Master of Information Studies provides students with in-depth understanding of the creation, evaluation, collection, organisation, utilisation and dissemination of information in the contemporary information environment.

This distance learning programme, offered in collaboration with Charles Sturt University, Australia, is supplemented by local tutorials. The obtained academic qualification has full recognition by Australian Library and Information Association (ALIA).

Upon special request, students can choose to exit at Graduate Diploma level and will receive the CSU Graduate Diploma of Information Studies (which is the Intermediate Award of Master of Information Studies).

>Credit exemption would be given to students with relevant academic qualifications in library and information management and/or working experience.

The programme aims to prepare students for an industrial career, with skills in the fields of computing, knowledge presentation, reasoning, autonomic computing, robotics, machine learning, computer vision, natural language processing, data analytics in the context of AI, in addition to providing a relevant platform to embark on further research study. Students will also be able to apply the acquired skills in the development of AI systems and applications.

The programme aims to prepare students for both an industrial career with skills in the fields of networks, sensor technologies, pervasive computing, embedded systems, signal processing, security, statistical analysis and data analytics in addition to providing a relevant platform to embark on further research study. Students will also be able to apply the acquired skills in the development of Internet of Things (IoT) systems and applications. Students will be introduced all the core taught material and understand a range of topics and skills associated with the creation, evaluation and deployment of IoT systems and applications.

The programme covers a wide range of knowledge in Statistical Analysis, Corporate Financial Management, Risk Analysis and Asset Allocation,  as well as Investment and Portfolio Management, Financial Modelling and Analytics Software. Students will learn how to apply the knowledge and techniques used by market professionals and refresh their investment knowledge using big data.

The programme aims to train healthcare professionals and those from related disciplines to develop the knowledge, understanding and competencies in mastering the advanced use of Information Technology skills in healthcare settings.