會計及金融

本課程為學生提供有關中國稅法及民商經濟法律的專業知識，重點講解上市結構、控股結構、營運模式和稅務的關係，並包括個人所得稅籌劃，藉以配合在中國商貿的工作需求。本課程尤適合對中國稅制及民商經濟法律有興趣之各階層行政人員、專業人士或在工作方面有此等認識需要的各界人士修讀。

This programme consists of three modules (Interpretation of Financial Statements, Performance Management and Internal Controls, and Financial Management). Students are expected to complete the whole course in four months. The course can also be structured as an in-house training programme to serve the specific needs of different companies.

The Executive Certificate in Big Data and Business Analytics 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. 

"Think BIG DATA, Think HKU SPACE"

Hong Kong Monetary Authority (HKMA) works together with the banking industry to introduce an industry-wide competency framework – Enhanced Competency Framework (ECF) on Anti-money Laundering and Counter-financing of Terrorism (AML/CFT) to support talent development in AML/CFT.  The syllabus will be provided by the Hong Kong Institute of Bankers (HKIB) and this programme is offered for students to prepare for the ECF on AML/CFT Professional Level Examination.

Hong Kong Monetary Authority (HKMA) works together with the banking industry to introduce an industry-wide competency framework – Enhanced Competency Framework (ECF) on Anti-money Laundering and Counter-financing of Terrorism (AML/CFT) to support talent development in AML/CFT.  The syllabus will be provided by the Hong Kong Institute of Bankers (HKIB) and this programme is offered for students to prepare for the ECF on AML/CFT Professional Level Examination.

Students who pass the examination with 3 years relevant work experience will be eligible to apply for Certified AML Professional (CAMLP). Please visit HKIB website (https://www.hkib.org/ ) for further information on examination arrangements.

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.
 

Predictive analytics is a technique that leverages all related influencers, interactions and activities to generate statistics that predict future outcomes and would help us to understand how the market will evolve and trends to shape up across all sectors. Now the time for this technology has come. More and more organizations are turning to predictive analytics to increase their bottom line and competitive advantage.

The programme aims to give participants a holistic view of the latest development of sustainable finance and investment.  The topics cover a wide range of hottest issues in this field from basic sustainable investment to more in-depth social venture capital.  As this field is a cross-disciplinary study and still emerging, a practical approach is adopted to outline the mindset change of decision makers with real-life case studies.
Students may choose to exit the programme after completing Module 1 for an Executive Certificate award.

Upon completion of the programme, students should be able to:

- identify key legal issues affecting banking and commercial practices in Hong Kong;
  - gain an updated knowledge on commercial law in Hong Kong and Mainland China; and
- design and implement legal risk management plans to combat commercial crimes and money laundering activities

Executive Certificate in Corporate Credit Management aims to equip students with current knowledge and practical skills in managing credit risk of corporations. It covers both quantitative and qualitative analysis in corporate credit valuations including case study analysis.  This course introduces credit analysis based on Cash Flow Based Lending doctrine which is the shift from the use of accrual based accounting information to the use of cash based financial information for lending decisions.