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Data Science and Big Data Technology provides a systematic curriculum of data collection, management, analysis, decision-making and etc. on the basis of mathematics and statistics foundations. Its contents include operations research, machine learning, optimization, operation management, decision science and other related interdisciplinary fields. In addition to these basic knowledge, our programme also cultivates students' ability to perform data analytics in a real environment through real case study and analysis of actual data. The team of professors of Data Science and Big Data Technology is composed of well-known scholars at home and abroad, all of whom have earned doctorates from world-class universities and have significant international influence in related fields of academia and industry. They have not only made outstanding achievements in research and won many international awards, but also have abundant teaching experience and cultivated lots of outstanding young talents.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
Data Science and Big Data Technology provides a systematic curriculum of data collection, management, analysis, decision-making and etc. on the basis of mathematics and statistics foundations. Its contents include operations research, machine learning, optimization, operation management, decision science and other related interdisciplinary fields. In addition to these basic knowledge, our programme also cultivates students' ability to perform data analytics in a real environment through real case study and analysis of actual data. The team of professors of Data Science and Big Data Technology is composed of well-known scholars at home and abroad, all of whom have earned doctorates from world-class universities and have significant international influence in related fields of academia and industry. They have not only made outstanding achievements in research and won many international awards, but also have abundant teaching experience and cultivated lots of outstanding young talents.
Admission Requirements
6+
80+
30+
1190+
24+
80+
GCE A-Level / International A-Level: 3 AL passes or 2 AL + 2AS passes in one sitting (All grades must be obtained from examinations taken within a twelve-month period.), with an average of grade C For candidates who have completed only GCE-AS / International-AS with outstanding results, they may be considered for admission under special circumstances on individual merits case-by-case.
4 Years
Sep
Domestic
58,587 USD
International
58,587 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.
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Data Science and Big Data Technology
The Chinese University of Hong Kong, Shenzhen, Shenzhen, China (Mainland)
48 monthsProgramme duration
58,587 USDTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
Admission Requirements
Domestic
International
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:
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.
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.
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