Overview

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.

Programme Information
  • Programme code 63027
  • Mode of study Mixed-mode
  • Normal duration Full-time (FT): 1.5 years
    Part-time (PT): 3 years
  • Number of credits required for award 30 credits for Master of Science degree
    21 credits for Postgraduate Diploma
  • Tuition Fee HK$8,800 per credit
  • Programme guide Download here

Enquiry
  • Name Telephone Email
  • Prof. Xingqiu Zhao 2766 6921 This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Dr. Binyang Jiang 2766 6349 This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Dr. Zaikun Zhang 2766 4592 This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Ms. Moon Wai Yan3400 3138 This email address is being protected from spambots. You need JavaScript enabled to view it.
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