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The Master of Science in Data Science (MSDS) programme aims to produce data-analytic graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in... Read more
The Master of Science in Data Science (MSDS) programme aims to produce data-analytic graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in organisational decision-making. It is also intended to help data analytic professionals upgrade their technical management and development skills, and to provide a solid path for students from related quantitative fields to rapidly transition to data science careers. Programme Intended Learning Outcomes (PILOs): Upon successful completion of this Programme, students should be able to:
Apply knowledge of science and engineering appropriate to the data science discipline
Understand theoretical foundation of contemporary techniques and apply them for managing, mining and analyzing data across multiple disciplines
Comprehend computational tools and use data-driven thinking to discover new knowledge and to solve real-world problems with complex structures
Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas
Communicate ideas and findings in written, oral and visual forms and work in a diverse team environment
The Master of Science in Data Science (MSDS) programme aims to produce data-analytic graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in... Read more
The Master of Science in Data Science (MSDS) programme aims to produce data-analytic graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in organisational decision-making. It is also intended to help data analytic professionals upgrade their technical management and development skills, and to provide a solid path for students from related quantitative fields to rapidly transition to data science careers. Programme Intended Learning Outcomes (PILOs): Upon successful completion of this Programme, students should be able to:
Apply knowledge of science and engineering appropriate to the data science discipline
Understand theoretical foundation of contemporary techniques and apply them for managing, mining and analyzing data across multiple disciplines
Comprehend computational tools and use data-driven thinking to discover new knowledge and to solve real-world problems with complex structures
Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas
Communicate ideas and findings in written, oral and visual forms and work in a diverse team environment
Applicant must be a degree holder in Engineering, Science or other relevant disciplines, or its equivalent
31 Mar 2025
1 Year
Sep
Tuition fees
Domestic Students
40,135 USD
-
International Students
40,135 USD
-
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc in Data Science
City University of Hong Kong, Kowloon,, Hong Kong SAR
# 45QS Subject Rankings
12 monthsProgram duration
40,135 USDTuition Fee/year
31 Mar, 2025Application Deadline
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
Blended
Read more
Programme Intended Learning Outcomes (PILOs):
Upon successful completion of this Programme, students should be able to:
- Apply knowledge of science and engineering appropriate to the data science discipline
- Understand theoretical foundation of contemporary techniques and apply them for managing, mining and analyzing data across multiple disciplines
- Comprehend computational tools and use data-driven thinking to discover new knowledge and to solve real-world problems with complex structures
- Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas
- Communicate ideas and findings in written, oral and visual forms and work in a diverse team environment
Read lessProgram overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
Blended
Read more
Programme Intended Learning Outcomes (PILOs):
Upon successful completion of this Programme, students should be able to:
- Apply knowledge of science and engineering appropriate to the data science discipline
- Understand theoretical foundation of contemporary techniques and apply them for managing, mining and analyzing data across multiple disciplines
- Comprehend computational tools and use data-driven thinking to discover new knowledge and to solve real-world problems with complex structures
- Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas
- Communicate ideas and findings in written, oral and visual forms and work in a diverse team environment
Read lessAdmission Requirements
Tuition fees
Domestic Students
International Students
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
QS subject rankings
Subject: Data Science and Artificial Intelligence
Ranking criteria
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Doctor of Business Administration (International)
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Doctor of Business Administration (Taught in Chinese)
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PhD (Accountancy)
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PhD (Economics and Finance)
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PhD (Management Sciences)
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PhD (Management)
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PhD (Biomedical Engineering)
PhD (Biomedical Engineering)
PhD (Computer Science)
PhD (Computer Science)
PhD (Data Science)
PhD (Data Science)
PhD (Electrical Engineering)
PhD (Electrical Engineering)
PhD (Information Systems)
PhD (Materials Science and Engineering)
PhD (Mechanical Engineering)
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PhD (Biomedical Sciences)
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PhD (Infectious Diseases and Public Health)
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PhD (Veterinary Clinical Sciences)
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Natural Sciences (5)
PhD (Biostatistics)
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PhD (Chemistry)
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