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Data Science
In the era of big data, colossal amount of data is being generated every day from channels including social media, consumer profile, global economy, etc. These complications of data require us not only to describe and understand the information, but more importantly, to reveal crucial information to facilitate the best course of action. Therefore, the demand for the application of big data has increased sharply, which has led to the emergence of a cross-disciplinary independent subject, "Data Science", which has led to the systematic development and promotion of methods for dismantling big data.
The School is going to offer a range of Data Science programmes to provide students with professional knowledge and training that they will need to succeed in future endeavours and become competitive in the workplace.
Data Science Programmes
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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.
PT
Start 09 JUN 2026 (TUE)
Duration 2 months to 3 months
Fee Course Fee: $10500 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.
PT
Start 13 JUN 2026 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $10,200 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.
PT
Start 16 JUN 2026 (TUE)
Duration 1 month to 2 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 To be advised
Duration 1 month to 2 months
Fee Course Fee: $9900 per programme (* course fees are subject to change without prior notice)
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 06 JUL 2026 (MON)
Duration 1 year to 2 years
Fee Module fee: $11,100 (* course fees are subject to change without prior notice)
2 installment-:1st- three modules: $33,300 and 2nd- three modules: $33,300
2 installment-:1st- three modules: $33,300 and 2nd- three modules: $33,300
The programme is designed for aviation practitioners who possess working experience in the aviation industry and would like to learn the latest knowledge and skills of big data applications in the aviation environment. The programme would cover the basic concept and application of big data analysis, and its best practice to support the aviation business decision making. Students will also learn the importance of data organisation, the relevant privacy and ethics requirements of data application.
PT
Start To be advised
Duration 6 months
Fee HK$21,930
This programme is designed to provide Environmental, Social, and Governance (ESG) professionals with a foundation of the conceptual, theoretical, and practical knowledge in the field of artificial intelligence (AI) in applied ESG. Students will be equipped with the knowledge and skills necessary to understand and effectively utilise artificial intelligence technologies in ESG settings. The programme will explore how AI can be leveraged to enhance sustainability, social impact, and responsible governance in various industries.
PT
Start 27 MAY 2026 (WED)
Duration 30 hours
Fee HK$9800
The programme aims to equip students with the knowledge to design, build and deploy Machine Learning (ML) solutions for given problems on a cloud platform. Students will learn the basic functions of cloud computing platforms, fundamental concepts in programming and ML concepts.
PT
Start 29 MAY 2026 (FRI)
Duration 6 months to 12 months
Fee Course fee: $15,000
Course fee with credit exemption of module 1: $12,000
(Note: All fees are subject to change without prior notice.)
Course fee with credit exemption of module 1: $12,000
(Note: All fees are subject to change without prior notice.)
This programme aims to provide students with the basic concepts and knowledge about Big Data and to develop their skills in interpreting Big Data. It provides a practical approach for the students to apply statistical methods to analyze data and to equip them with techniques to perform data visualization for business and financial Big Data.
PT
Start 06 JUN 2026 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9700 per programme
(*course fees are subject to change without prior notice)
(*course fees are subject to change without prior notice)
Certificate for Module (Business Forecasting and Predictive Analytics for Financial Decision Making)
The programme aims to provide students with the basic knowledge of business forecasting and essential skills in predictive analytics for financial decision making. The programme illustrates techniques of data exploration and regression analysis, and discusses computational tools used to perform business forecasting and predictive analytics. Students can learn how to apply business forecasting through case studies and perform predictive analytics through practical classes in computer laboratories.
PT
Start 09 JUN 2026 (TUE)
Duration 2 months to 4 months
Fee Course Fee: $9900 per programme (* course fees are subject to change without prior notice)
