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Hong Kong is known for the sophistication of its financial industry, which is the cornerstone of the city's economy. We are committed to developing finance and accounting talent and helping finance professionals gain the necessary qualifications to advance in their careers. With programmes in the areas of accounting, corporate governance, compliance, financial services, insurance, fintech, financial intelligence, investment management and risk management, we take care of the needs of finance sector professionals, no matter what the level or discipline.
Our competitive advantage lies in our close connection to industry and professional bodies, as well as collaboration with internationally-acclaimed universities.
This programme aims to provide students with a solid corporate administration and governance foundation, covering general administrative management and corporate governance theories and practices. It is designed to equip students with an analytical problem-solving approach to administration and governance-related issues and contemporary issues faced by company secretaries and administrators.
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Start To be advised
Duration 20 months
Fee HK$45,500 per programme (by 3 instalments)
(*All fees are subject to change without prior notice.)
Hong Kong has a reputation for being one of the world’s freest economies, with a level playing field in commerce and a fair and equitable society abiding by the rule of law. This unique environment has continued to give Hong Kong a competitive edge. By introducing this programme, we aim to provide knowledge and skills to the workforce in the areas of business administration, secretaryship, compliance and ethics.
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.
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Start 07 DEC 2024 (SAT)
Duration 2 months to 3 months
Fee Course Fee: $9900 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 07 DEC 2024 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9200 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.
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Start 14 DEC 2024 (SAT)
Duration 30 hours
Fee Course Fee: $9500 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.
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.
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Start 11 JAN 2025 (SAT)
Duration 2 months to 3 months
Fee Course Fee: $9900 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 offers the essential concepts and contemporary issue about aircraft leasing and financing. It provides a broad overview of main categories of different aircraft leasing transactions.
The programme will primarily appeal to financial services executives who wish to equip themselves with latest knowledge in marine insurance for their professional advancement. The secondary target market includes business executives or new graduates who aim to take up opportunities in insurance sector with a focus of marine insurance.
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.
PT
Start 04 MAR 2025 (TUE)
Duration 30 hours
Fee Course Fee: $10000 per programme (* course fees are subject to change without prior notice)
The programme takes an integrated approach to fund administration and the regulatory landscape in asset management. The programme offers an overview of investment fund structures, strategies, regulation and fund administration from front-end to back office operations. It also covers the current development of fund regulatory compliance in the Greater Bay Area.
HKU SPACE respects personal data and is committed to full implementation and compliance with the data protection principles and all relevant provisions of the Hong Kong Personal Data (Privacy) Ordinance.
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