This programme provides students with the essential knowledge of Big Data, the framework of Business Analytics as well as the usage of computer software to optimize the solution for effective decision making. The programme also covers the data preparation procedures, methods in handling big data using Python, techniques of Business Analytics and optimal solution for decision making. Apart from applying the knowledge to solve problems in their workplace, students may consider further their studies in Big Data, Data Analytics, Computer Science, Operation Research, FinTech and Quantitative Analysis in future.

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

1. outline the applications of Big Data for business and Big Data handling process;
2. identify data governance and security issues for Business Analytics;
3. apply mathematical techniques and statistical methods for data analysis with business applications;
4. use optimization methods to perform decision making for business and finance; and
5. solve business and financial problems quantitatively using computer software.

Application Code	2280-EP136A	Apply Online Now
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Days / Time

• Tue, Fri, 7:00pm - 10:00pm

Duration

• 30 hours per module

Venue

• Hong Kong Island Campus
• Kowloon East Campus
• Kowloon West Campus

The programme consists of one module with three main parts : 

(1) Framework of Business Analytics
- Introduction to Big Data and its Business applications
- Data governance, security and privacy for Business Analytics
- Preparation for data analytics: data collection, data extraction, data integration and data cleaning
- ​Data Wrangling using Python

(2) Techniques in Business Analytics
- Introduction to Mathematical and Statistical techniques for Data Analysis
- Python for Big Data and Statistical Analysis
- Financial Time Series Analysis
- Simulation and Model building for Business
- Applications for Business Analytics

(3) Leveraging Big Data into Optimization for Decision Making
- Optimizing decisions with Big Data using Python
- Applications of optimization in Business and Finance
- Decision Optimization for Business and Finance

• Assessment method:  In-class exercises + group presentation


•  

The Executive Certificate will be conferred to candidates who pass in continuous assessment and final assessment as well as achieved at least 70% attendance of the programme.
 

Teacher 

(1) Mr. Kevin Chung

Mr. Chung is a specialist in Machine Learning, Statistical Analysis and Data Science. He received his Bachelor and Master Degree in Mathematics from the University of Toronto. He had been a Mathematics and Statistics lecturer in HKUSPACE Community College for more than six years. Since 2013, he became interested and has been doing research in Data Science and Machine Learning. Coming from an academic background, and then working as a machine learning engineer and data scientist, Mr. Chung likes to discuss Data Science and Machine Learning from both theoretical and practical perspectives.

(2) Mr. Cyrus Tsui

Mr. Tsui have 10+ years of banking experience in both Hong Kong and London, specialize in valuation, PnL and Risk. Fluent in English, Mandarin and Cantonese. In-depth understanding of complex financial products with programming ability, strong communication skill and solid experience in stakeholder management. 

(3) Mr. Stephen Cheng

Mr. Stephen Cheng has over 30 Years of experience in the IT industry, with senior positions at international corporations such as Oracle, Hewlett Packard, Digital Equipment Corporation, Compaq Computer, Portal Software, Amdocs. Mr. Cheng’s broad industrial experience ranges from R&D, Software development, Consulting, Marketing, Pre-sales and Professional Services.  Stephen has a strong track record in delivering successful projects worldwide:  Swisscom, Vodafone, China Mobile, Smartone, HSBC, Telstra etc. Mr. Cheng holds a Bachelor of Arts (Physics) from Vassar College; MS and MBA from Rensselaer Polytechnic Institute and Babson College in the US. Mr. Cheng is currently working on a project at the Hong Kong Chinese University, applying Machine Learning and AI techniques on Traditional Chinese Medicine.

(4) Dr. Garry Luk

Dr. Garry Luk is a Chartered IT Professional (CITP) of British Computer Society. His major research interest in Business system analysis and design, Big data implementation and application, Information management technology. He has been working on the higher education sector for more than 18 years for teaching and research support.
Moreover, Dr. Luk also as a part-time lecturer since 2004 for Vocational training council, School of Continuing Education Hong Kong Baptist University and Hong Kong University of Professional and Continuing Education on E-commerce, Business information system, System Analysis & Design. Dr. Luk will share and inspired Executives at various levels from his rich research and working experiences.

(5) Mr Jackie Liu

Mr. Jackie Liu is veteran quantitative strategist currently working in one of the top global investment banks. With over 10 years of industry experience covering equity, fixed income and currencies products, Mr. Liu has been driving some of the key initiatives on predictive analytics, trade optimization and risk system development globally. His knowledge of financial technology and data analytics were built on top of hands-on job experience as well as years of academic training. Mr. Liu has earned a Master’s degree with Distinction in Computer Science from The University of Hong Kong, after graduating from The Chinese University of Hong Kong with a major in Computer Science and a minor in Business Administration.

(6) Dr Carter Lam

Dr Lam is a Financial Risk Manager (FRM) and Professional Risk Manager (PRM) holder, a Chartered Statistician in the United Kingdom, a Certified Statistician in Hong Kong, and an Accredited Professional Statistician in the United States. He has over 15 years of expertise as a lecturer in statistics, data analytics, and artificial intelligence. He received his Bachelor of Science in Mathematics (First Class Honours), Master of Philosophy in Mathematics, and Doctor of Education degrees from the University of Hong Kong. He also holds master's degrees in multimedia information technology, financial engineering, applied psychology (with distinction), and data analytics and artificial intelligence (with distinction) from different universities. He has extensive teaching experience as well as practical knowledge of how to use big data to address financial difficulties. He is also conversant with artificial intelligence and machine learning. He also holds more than 20 IT certifications from Oracle, Huawei, Adobe, Microsoft, SAS, Cisco, Alteryx, and Google. He just earned the bronze award at the Digital Economics Hong Kong Techanthon+ 2024 for developing an AI online trading platform. He also won the Hong Kong Science and Technology Park's coideation program and formed an educational technology company under it.

Timetable

Apr 2025 intake

Lecture	Date	Time
1	22 Apr 25 (Tue)	19:00-22:00
2	25 Apr 25 (Fri)	19:00-22:00
3	29 Apr 25 (Tue)	19:00-22:00
4	6 May 25 (Tue)	19:00-22:00
5	9 May 25 (Fri)	19:00-22:00
6	13 May 25 (Tue)	19:00-22:00
7	16 May 25 (Fri)	19:00-22:00
8	20 May 25 (Tue)	19:00-22:00
9	23 May 25 (Fri)	19:00-22:00
10	27 May 25 (Tue)	19:00-22:00

 

Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.

 

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Application Fee

HK$150 (Non-refundable)

Course Fee

• Course Fee: $9000 per programme (* course fees are subject to change without prior notice)

Applicants shall hold:
a)    a bachelor’s degree awarded by a recognized University or equivalent; or
b)   an Associate Degree/ a Higher Diploma or equivalent, and have at least 2 years of relevant working experience.

Priority will be given to those applicants who have a mathematics, statistics, science, computer science, engineering, information technology or business analysis background.

Applicants with other qualification and substantial senior level work experience will be considered on individual merit.

**Please upload copy of HKID and proof of degree while applying online. 

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