MSc in Data Science and Analytics 18 months Postgraduate Programme By The Hong Kong Polytechnic University |TopUniversities
Subject Ranking

# 66QS Subject Rankings

Programme Duration

18 monthsProgramme duration

Tuitionfee

34,106 USDTuition Fee/year

Application Deadline

30 Apr, 2026Application Deadline

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

Admission Requirements

6+
80+
Bachelor's degree with honours in mathematics, statistics, computer science, IT, engineering, and science, or the equivalent. Applicants with a Bachelor’s degree in other disciplines and an adequate background in mathematics or IT will also be considered.

30 Apr 2026
1.5 Years
Sep

Tuition fees

Domestic
34,106 USD
International
34,106 USD

Scholarships

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