大数据及金融科技系列

The programme aims to provide students with contemporary knowledge of financial technology (FinTech) and related applications in finance. The programme not only equips students with essential skills to apply Java programming but also illustrates the practical implementation of FinTech applications.

The programme is designed to impart contemporary knowledge in financial technology (FinTech) and artificial intelligence (AI) to students. It will equip them with critical skills to effectively utilise computational tools and online software for writing computer programmes, designing and implementing applications. Additionally, the programme demonstrates the practical applications of FinTech and AI, while addressing pertinent issues in the commercial world.

The programme aims to provide students with essential knowledge of financial analysis and valuation. It equips students with practical skills to perform financial analysis and data visualisation using Excel and Python. The programme also illustrates simulation and model building, as well as evaluation of corporate performance.

The programme aims to provide students with essential knowledge of econometrics and data analytics. It equips students with practical skills to perform statistical analysis, regression analysis, and data analytics using computational tools. The programme also illustrates the techniques of data visualisation, model building and forecasting.
 

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 in Big Data and Artificial Intelligence technologies and their applications in investment management.  Students are expected to be familiar with different big data analyses and A.I. processes upon completion of the programme.

The programme provides an insight on how the current development in these two areas assist and influence investment decision and behaviour. 
 

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 an in-depth knowledge in Big Data concepts and to develop their skill sets in setting up hypothesis models in Predictive Analytics. The objective is to provide an overview of data mining process and to pinpoint the potential and limitations of predictive analytics within a business setting.  

This programme aims to provide students with the fundamental concepts and knowledge about Big Data and to develop their analytical skills by applying regression analysis and machine learning to solve business problems. It provides a practical approach for the students to apply regression and machine learning methodologies for analyzing big data and facilitating business and financial decision making.

This programme aims to provide students with the basic concepts and knowledge about Big Data and to develop their skills in interpreting Big Data. It provides a practical approach for the students to apply statistical methods to analyze data and to equip them with techniques to perform data visualization for business and financial Big Data.