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大數據及金融科技系列

AI, Big Data, Data Analytics and FinTech are hot topics in business and finance. They add value to the organization by facilitating new product development, developing better market prediction and performing accurate business forecast and improving operational efficiency. Executives with contemporary knowledge in FinTech and practical skills in data analytics can leverage their edge in career move.

Don’t waste the chance, join the Big Data and FinTech programmes to explore your potential.

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. 
 
PT
Start 10 MAY 2025 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $8800 per programme (* course fees are subject to change without prior notice)
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. 
 
PT
Start 22 FEB 2025 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9200 per programme (* course fees are subject to change without prior notice)
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.  
PT
Start 07 JAN 2025 (TUE)
Duration 1 month to 2 months
Fee Course Fee: $8900 per programme (* course fees are subject to change without prior notice)
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.
PT
Start 09 JUN 2025 (MON)
Duration 1 month to 2 months
Fee Course Fee: $9000 per programme (* course fees are subject to change without prior notice)
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.
 
PT
Start 18 FEB 2025 (TUE)
Duration 1 month to 2 months
Fee Course Fee: $9300 per programme
(*course fees are subject to change without prior notice)
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.
 
PT
Start 04 JAN 2025 (SAT)
Duration 1 month to 2 months
Fee HK$9200

This programme provides students with the essential knowledge of Big Data, the framework of Business Analytics as well as the usage of computer software to optimize the solution for effective decision making. The programme also covers the data preparation procedures, methods in handling big data using Python, techniques of Business Analytics and optimal solution for decision making. Apart from applying the knowledge to solve problems in their workplace, students may consider further their studies in Big Data, Data Analytics, Computer Science, Operation Research, FinTech and Quantitative Analysis in future.

PT
Start 22 APR 2025 (TUE)
Duration 1 month to 2 months
Fee Course Fee: $9000 per programme (* course fees are subject to change without prior notice)
This programme provides students with the practical knowledge of Artificial Intelligence (AI) as well as discuss the application of Predictive Analytics for Business. Moreover, the programme covers the handling of data for data analysis, data visualization, development of AI and forecasting techniques from the business perspectives. Apart from applying the knowledge to solve problems in their workplace, students may consider further their studies in Big Data, Data Analytics, Data Science, AI, FinTech and Quantitative Analysis in future.
PT
Start 04 MAR 2025 (TUE)
Duration 1 month to 2 months
Fee Course Fee: $9000 per programme (* course fees are subject to change without prior notice)
This programme aims to provide students with the knowledge to investigate financial data which influences finance and investment decisions. Computer coding using Python will be discussed to handle data, build models and perform financial analysis quantitatively. The programme covers the applications of AI, Machine Learning and computerized algorithms to analyze trends and predict financial data.
 
PT
Start 10 FEB 2025 (MON)
Duration 2 months to 4 months
Fee $9,200 per module; $18,400 per programme (Course fees are subject to change without prior notice)
The programme aims to provide students with the latest development of Financial Technology (FinTech) and the contemporary issues related to Banking and Financial Services sectors. It offers knowledge about the various technological applications to enhance the competitive edges of banks, investment and securities firms. In addition, security and regulatory issues will be covered in this programme.
PT
Start 05 APR 2025 (SAT)
Duration 2 months to 3 months
Fee Course Fee: $9900 per programme (* course fees are subject to change without prior notice)

 

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