Fintech and Financial Intelligence are important developments shaping the future of the financial sector. In its latest Policy Address, the Hong Kong SAR Government announced plans to support innovation and technological development so that we can become a smart city. There is no doubt that the demand for Fintech and Financial Intelligence professionals will continue to increase. We offer programmes to equip students with cutting-edge Fintech and Financial intelligence knowledge which can support career and professional advancement.
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.
Start 09 MAR 2024 (SAT)
Duration 2 months to 3 months
Fee Course Fee: $9700 per programme (* course fees are subject to change without prior notice)
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.
Start 23 MAR 2024 (SAT)
Duration 30 hours
Fee Course Fee: $9300 per programme (* course fees are subject to change without prior notice)
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 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.
Start 25 MAY 2024 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9000 per programme (* course fees are subject to change without prior notice)
The programme aims to provide students with the contemporary knowledge of distributed ledger and blockchain under the continuous technological advancement. It illustrates the development of smart contracts using computational tools and discusses a practical implementation of blockchain in business. The programme also covers the future development of distributed ledger and blockchain and their implications in business.
Start 24 JUN 2024 (MON)
Duration 30 hours
Fee Course Fee: $9800 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.
The programme aims to equip students with knowledge and impact of digitalisation on tax administration and operation.
Programme Structure and Delivery
The proposed new Executive Certificate in Tax Digitalisation will be a 30-hour short course. Students can learn both concepts and theories about the impact of digitalisation on taxation through lectures and case-studies. Practitioners will be invited to share their experience through the guest lectures.
Medium of instruction is English, supplemented with Cantonese.
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.
Start To be advised
Duration 2 months to 3 months
Fee Course Fee: $9900 per programme (* course fees are subject to change without prior notice)
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.
Start 04 MAR 2024 (MON)
Duration 1 year to 2 years
Fee Module fee: $9,800 (* course fees are subject to change without prior notice)
2 installment-:1st- three modules: $29,400 and 2nd- three modules: $29,400
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