The programme aims to: 

1. impart financial and investment management knowledge and skills to students to enhance their financial decision making;
2. facilitate students to understand and analyze contemporary issues as well as the latest development in the financial world;
3. prepare students to sit for the CFA examinations based on the Candidate Body of Knowledge;
4. equip students with the latest technologies on Big Data and Artificial Intelligence for financial industry;
5. stimulate students to apply financial intelligence to perform investment management.

The programme aims to provide students with a solid foundation in the field of accounting, with a particular emphasis on the use of big data in accounting, and to enable graduates to pursue further studies as well as career enhancement. 

The programme aims to provide students with the essential knowledge of business intelligence and data automation. It illustrates various techniques of data preparation, data transformation and data automation using computational tools. The programme also discusses real-life cases related to the usage of business intelligence, practical applications and implications of data automation in business. 

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. 
 

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.  
 

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 is designed for aviation practitioners who possess working experience in the aviation industry and would like to learn the latest knowledge and skills of big data applications in the aviation environment. The programme would cover the basic concept and application of big data analysis, and its best practice to support the aviation business decision making. Students will also learn the importance of data organisation, the relevant privacy and ethics requirements of data application.
 

This programme aims to equip students with the skills to conduct qualitative and quantitative research and develop a research proposal. Emphasis is given on the writing and dissemination of research. This will prepare students to pursue their own individual research on a topic relevant to their study.

The programme aims to provide students with the key concepts of big data and related operational and ethical issues. It will discuss big data opportunities and challenges, fraud detection, data protection, ethical and compliance issues from managerial perspectives globally. Besides, best practices for data security and compliance, regulatory requirements will be covered in the programme.

The programme aims to provide students with the basic knowledge of business forecasting and essential skills in predictive analytics for financial decision making. The programme illustrates techniques of data exploration and regression analysis, and discusses computational tools used to perform business forecasting and predictive analytics. Students can learn how to apply business forecasting through case studies and perform predictive analytics through practical classes in computer laboratories.