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Banking, financial services, and insurance are popular industries, while professionals like relationship managers, wealth management managers, Certified Financial Planners (CFP®), and financial consultants are in great demand. To enter the financial services sector, you need contemporary and professional knowledge of financial planning, investment and insurance planning, as well as asset and wealth management. Through our high-quality programmes, you can develop a competitive edge in the financial services sector.
We offer contemporary education programmes related to CFA to encourage learners to become financial analysts, portfolio managers, and future leaders in the finance and investment sectors. Besides, we offer practical programmes related to FinTech and AI to nurture professionals to become FinTech engineers, AI software developers, Data analysts, Algo trading professionals and quantitative investment analysts.
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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.
PT
Start 02 JUL 2025 (WED)
Duration 1 year to 2 years
Fee Module fee: $10,500 (* course fees are subject to change without prior notice)
2 installment-:1st- three modules: $31,500 and 2nd- three modules: $31,500
2 installment-:1st- three modules: $31,500 and 2nd- three modules: $31,500
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.
PT
Start 06 SEP 2025 (SAT)
Duration 12 months to 24 months
Fee Module fee: $11,600 (course fees are subject to change without prior notice)
2 installment-:1st- three modules: $34,800 and 2nd- three modules: $34,800
2 installment-:1st- three modules: $34,800 and 2nd- three modules: $34,800
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.
PT
Start 09 JUL 2025 (WED)
Duration 1 year to 2 years
Fee Module fee: $11,600 (course fees are subject to change without prior notice)
2 installment-:1st- three modules: $34,800 and 2nd- three modules: $34,800
2 installment-:1st- three modules: $34,800 and 2nd- three modules: $34,800
The target student groups for this programme are financial services practitioners who need to understand treasury from the customer’s perspective and would like to pursue in-depth knowledge of banking and corporate treasury function in global financial markets. Practitioners such as front office dealers, specialists in treasury banking operations, corporate treasury specialists, treasury risk analysts, treasury management product analysts, treasury and pension officers, corporate treasury back office specialists, internal auditors in treasury operations, or consultants are suitable to attend the programme.
TMA will offer the TMA Level 2 (Full Member) membership to graduates who have successfully completed this programme.
TMA will offer the TMA Level 2 (Full Member) membership to graduates who have successfully completed this programme.
PT
Start 18 AUG 2025 (MON)
Duration 12 months
Fee $6,800 per module
This programme prepares students for the CFP® Certification Examination (Foundation Level) and CFP® Certification Examination (Advanced Level Paper 1 and Advanced Level Paper 2) organized by the Institute of Financial Planners of Hong Kong. The graduates of Advanced Diploma can further articulate to Degree programmes. Besides, degree holders can further their studies in finance postgraduate programmes (e.g., Postgraduate Diploma in Investment Management, Postgraduate Diploma in Investment Management and Financial Intelligence, Postgraduate Diploma in Finance and Data Analytics, Postgraduate Diploma in FinTech and Legal Regulations, and Postgraduate Diploma in Financial Analytics and Algo Trading).
PT
Start 21 AUG 2025 (THU)
Duration 1 year to 2 years
Fee Business modules HK$4,500- HK$6,500
FFP module: HK$17,700
CFP® level 1 & 2 modules: HK$6,050 each module
*(course fees are subject to change without prior notice)
FFP module: HK$17,700
CFP® level 1 & 2 modules: HK$6,050 each module
*(course fees are subject to change without prior notice)
The programme aims to provide fundamental knowledge on finance applications of blockchain technology, digital currencies, big data and financial analytics. It covers digital banking, payment systems, blockchain, cryptocurrencies, peer to peer lending, crowdfunding, quantitative methods in financial analysis and big data analytics in finance. The programme develops students with programming skills in Python and put them into practice to solve real world finance problems.
PT
Start 22 SEP 2025 (MON)
Duration 12 months to 20 months
Fee Module 1: Introduction to FinTech $6,700
Module 2: Principles of Finance $4,900
Module 3: Programming for FinTech Applications $6,700
Module 4: Machine Learning in Finance $4,900
Module 5: Blockchain Applications and FinTech $4,900
Module 6: Big Data Applications and Financial Analytics $4,900
Module 2: Principles of Finance $4,900
Module 3: Programming for FinTech Applications $6,700
Module 4: Machine Learning in Finance $4,900
Module 5: Blockchain Applications and FinTech $4,900
Module 6: Big Data Applications and Financial Analytics $4,900
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.
PT
Start 09 AUG 2025 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9500 per programme (* course fees are subject to change without prior notice)
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.
PT
Start 19 JUL 2025 (SAT)
Duration 2 months to 3 months
Fee Course Fee: $9900 per programme (* course fees are subject to change without prior notice)
In recent years, Financial Crime has hit the headlines, and the spotlight is firmly on compliance. Money launderers and terrorists engage in money laundering activities through the use of various techniques to disguise funds obtained from illegal activities including drug trafficking, corruption, tax evasion and fraud.
PT
Start 18 OCT 2025 (SAT)
Duration 12 hours
Fee HK$3900
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.
PT
Start 09 MAY 2026 (SAT)
Duration 1 month to 2 months
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