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Entrance Year Sept 2024

Programme Code 63027

Stream Code

DFM (Full-time)
DPM (Part-time)

Mode of Study Mixed Mode

Normal Duration

1.5 years (Full-time)
3 years (Part-time)

Programme Intake


Fund Type Self-Financed

Credits Required for Graduation


Initial Registration Credits

3 for local students
9 for non-local students

Local Application Deadline 30 Apr 2024

Non-Local Application Deadline 30 Apr 2024

Tuition Fees

HK$10,850 per credit for local and non-local students

Programme Leaders

Programme Leader
Dr Jiang Binyan
BSc, PhD

Deputy Programme Leader
Dr Zhang Zaikun
BSc, PhD

Assistant Programme Leader
Dr Li Ting
BSc, MPhil, PhD


Non-local applicants must be registered as full-time students.

Aims and Characteristics


In this era of big data, large data sets are generated every day in various areas in society and industry, such as internet data, social network data and financial transaction data. It is challenging to analyze this unprecedentedly large volume of data and extract information from it. To create values out of data, one inevitably has to combine techniques from mathematics, statistics and computer science. Graduates who have highly developed mathematical, statistical and computing skills are thus in great demand, both in industry and research globally.

Programme highlights

Data Science and Analytics concerns the use of mathematical, statistical and computing techniques to extract useful information out of large-scale data and make decision out of it. It is widely recognized that Statistics, Optimization methods and Computer Science form the three pillars for modern Data Science. This programme is designed to provide a balanced treatment on these three pillars, with an aim of grooming future data analysts.

Career Prospect

This programme aims at producing graduates with an expertise that cuts across core disciplines of mathematics, statistics and computer science. It develops students’ analytical and critical thinking, as well as problem-solving skills. This will enable the students to pursue careers as data analysts in various industries such as finance and information technology.


Mr Tim Tsui

Programme Secretary

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