Accounting & FinanceInvestment Management

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. 
 

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.

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. 

University of Leicester - Master of Science in Finance

The MSc in Finance will develop your understanding of the concepts of finance and the role of financial management in a variety of organisations and sectors. You will gain a greater understanding of how finance is central to organisational decision-making by looking at key areas including financial analysis and investment, financial statements, strategic financial management, financial modelling and financial risk management and corporate finance. You will be able to pursue your own areas of interest when taking your option modules and dissertation.

Financial engineering requires the application of mathematical methods and information technology to analyze financial problems quantitatively. Financial engineers are responsible for creating structured financial products, building mathematical risk models as well as developing algorithmic trading system which facilitate effective investment decision making, managing financial and investment risk with quantitative modeling and computing technology. This programme is designed for those who plan to pave their career path as a financial engineer or quantitative analyst. The programme is taught by financial and investment practitioners, who are all senior professionals from investment banks or finance industry.

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.

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. 

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.