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Master of Science in Data Science and Analytics (62027-DFM-DPM)

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Entrance Year Sept 2025

Programme Code 62027

Stream Code

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

Mode of Study Mixed Mode

Normal Duration

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

Fund Type Self-Financed

Credits Required for Graduation

31

Initial Registration Credits

3 for local students
9 for non-local students

Local Application Deadline 30 Apr 2025 * Early Round Application Deadline: 2024-11-21; Main Round Application Deadline: 2025-04-30

Non-Local Application Deadline 30 Apr 2025 * Early Round Application Deadline: 2024-11-21; Main Round Application Deadline: 2025-04-30

Tuition Fees

HK$12,000 per credit for local and non-local students 
(Note: There is no tuition charge for the 1-credit Academic Integrity and Ethics subject.)

Programme Leader(s)

Programme Leader
Dr Jiang Binyan
BSc, PhD

Assistant Programme Leader
Dr Li Ting
BSc, MPhil, PhD

Remarks

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

Aims and Characteristics

Programme Aims

In today’s era of big data, large data sets are generated every day in various areas of society and industry, from social networking to finance. It is challenging to extract and analyse information from such an unprecedentedly large volume of data. To create value from such data, one must combine techniques from mathematics, statistics and computer science. This programme nurtures graduates with expertise across the core disciplines of mathematics, statistics and computer science. It develops students’ analytical and critical thinking as well as their problem-solving skills. This enables graduates to pursue careers as data analysts in various industries, such as finance and information technology.

 

Characteristics

Data science and analytics involve the use of mathematical, statistical and computing techniques to extract useful information from large-scale data and make decisions accordingly. Statistics, optimisation methods and computer science are widely acknowledged to form the three pillars of modern data science. This programme is designed to provide a balanced treatment of these three pillars, with the aim of cultivating future data analysts.

 

Graduates with highly developed mathematical, statistical and computing skills are in great demand globally, in both industry and academic settings.

 

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