This programme aims to equip students with the skillsets to analyse HR data and apply the insights gained to support human resource management and organisational goals.
 
The programme examines the impact of technologies like big data, Internet of Things and artificial intelligence on human resource management and equips students with the knowledge to implement HR analysis techniques for HR functions such as workforce planning, talent acquisition, talent management, learning and development. The programme concludes with a discussion on the future of HR and the emerging trends of predictive HR analytics and digital transformation.

Advanced Diploma in Computer and Information Security is a 20-month part-time programme designed for secondary school graduates who aspire to pursue a career in computer and information security. 

This programme aims to enhance students’ comprehension of fundamental concepts, principles, and theories in computer & information security, which has been spurred by the pervasive use of computer-based applications such as information systems, databases, and computer programming. Students are also given an understanding of computer system and architecture, access control mechanisms, cryptography algorithms, software security, physical security, security management and risk management as well as computer forensics.

This programme aims to ​equip students with a comprehensive and an all-round knowledge and practices in internal audit.  The knowledge is useful for students who would like to  sit for the professional examination of The Institute of Internal Auditors (IIA), leading to obtaining the Certified Internal Auditor (CIA) professional designation, a globally recognized certification for internal auditors. 

Student may check the details through the website : https://na.theiia.org/Pages/IIAHome.aspx 

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.