金融深造课程系列

This programme aims to impart inter-disciplinary knowledge of FinTech and legal regulations to students who are interested in the latest applications of FinTech and related legal issues. It examines contemporary elements and issues of FinTech and applies computational tools to finance and investment through practical workshops in the computer laboratory. The programme illustrates the applications of AI, RegTech, blockchain and robo advisory as well as explains the regulatory framework and statutory compliance.

This Postgraduate Diploma is one of the most comprehensive courses offered by HKU SPACE in Investment Management. It is designed to follow the CFA syllabus and to focus on the current market trends and regulatory progression. This programme attracts a diverse group of students with background from finance, engineering, technology, business, management, government. Tutors are all market practitioners. 

This programme aims to impart inter-disciplinary knowledge of quantitative finance and machine intelligence to students who are interested in financial analytics and algo trading. It examines contemporary elements in Environmental, Social and Governance (ESG) investing, financial risks and investment portfolios. It also discusses the applications of computational tools to analyse quantitative data and qualitative data, build financial models, perform financial analysis and text analytics to assist investment decision making. The programme illustrates the applications of artificial intelligence (AI) and machine learning to perform financial analytics as well as the usage of algo trading in implementing quantitative investment strategies.
 
 
 

The programme aims to: 

1. impart financial and investment management knowledge and skills to students to enhance their financial decision making;
2. facilitate students to understand and analyze contemporary issues as well as the latest development in the financial world;
3. prepare students to sit for the CFA examinations based on the Candidate Body of Knowledge;
4. equip students with the latest technologies on Big Data and Artificial Intelligence for financial industry;
5. stimulate students to apply financial intelligence to perform investment management.

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.