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The field of Data Science deals with the theories, methodologies and tools of applying statistical concepts and computational techniques to various data analysis problems related to science, engineering, medicine, business, etc. The objective is to inspect, clean, transform and model data in order to discover useful information, suggest conclusions and support decision-making. It is an emerging topic that plays a critical role in almost every discipline of today’s science and technology and has become an indispensable component. Data science is a highly interdisciplinary field. Data Science methodologies are mostly derived from statistics theories. The computational algorithms for implementing these statistical methodologies are based upon numerical computation and optimization, and are often executed on a large-scale hardware platform composed of massive computing units and storage devices. These kinds of data analyses can be applied to a wide range of specific problems across the natural and social sciences and serve as the foundation for artificial intelligence. Data Science can be extensively applied to economics, biology, health care, quantitative social science including global health and environmental science, and humanities (e.g., digital media). Numerous new applications are being discovered, and established techniques are being applied in new ways to solve emerging problems. Meanwhile, a variety of career opportunities are open to students with appropriate training in interdisciplinary data science.
Programme overview
Main Subject
Library and Information Management
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
The field of Data Science deals with the theories, methodologies and tools of applying statistical concepts and computational techniques to various data analysis problems related to science, engineering, medicine, business, etc. The objective is to inspect, clean, transform and model data in order to discover useful information, suggest conclusions and support decision-making. It is an emerging topic that plays a critical role in almost every discipline of today’s science and technology and has become an indispensable component. Data science is a highly interdisciplinary field. Data Science methodologies are mostly derived from statistics theories. The computational algorithms for implementing these statistical methodologies are based upon numerical computation and optimization, and are often executed on a large-scale hardware platform composed of massive computing units and storage devices. These kinds of data analyses can be applied to a wide range of specific problems across the natural and social sciences and serve as the foundation for artificial intelligence. Data Science can be extensively applied to economics, biology, health care, quantitative social science including global health and environmental science, and humanities (e.g., digital media). Numerous new applications are being discovered, and established techniques are being applied in new ways to solve emerging problems. Meanwhile, a variety of career opportunities are open to students with appropriate training in interdisciplinary data science.
Admission Requirements
All applications for Duke Kunshan University should be submitted using the Common Application. Students wishing to apply to both Duke University and Duke Kunshan University may do so by applying to each university individually via the Common App. The ability to communicate in English at a high level is necessary for success in the program. The admissions committee will be able to assess an applicant’s writing abilities through their academic achievement, standardized test results and written essay
3 Years
Aug
Tuition fees
Domestic
16,028 USD
International
71,077 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:
Data Science
Duke Kunshan University, Kunshan, China (Mainland)
36 monthsProgramme duration
71,077 USDTuition Fee/year
Library and Information ManagementMain Subject Area
Programme overview
Main Subject
Library and Information Management
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
Data science is a highly interdisciplinary field. Data Science methodologies are mostly derived from statistics theories. The computational algorithms for implementing these statistical methodologies are based upon numerical computation and optimization, and are often executed on a large-scale hardware platform composed of massive computing units and storage devices. These kinds of data analyses can be applied to a wide range of specific problems across the natural and social sciences and serve as the foundation for artificial intelligence. Data Science can be extensively applied to economics, biology, health care, quantitative social science including global health and environmental science, and humanities (e.g., digital media). Numerous new applications are being discovered, and established techniques are being applied in new ways to solve emerging problems. Meanwhile, a variety of career opportunities are open to students with appropriate training in interdisciplinary data science.
Programme overview
Main Subject
Library and Information Management
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
Data science is a highly interdisciplinary field. Data Science methodologies are mostly derived from statistics theories. The computational algorithms for implementing these statistical methodologies are based upon numerical computation and optimization, and are often executed on a large-scale hardware platform composed of massive computing units and storage devices. These kinds of data analyses can be applied to a wide range of specific problems across the natural and social sciences and serve as the foundation for artificial intelligence. Data Science can be extensively applied to economics, biology, health care, quantitative social science including global health and environmental science, and humanities (e.g., digital media). Numerous new applications are being discovered, and established techniques are being applied in new ways to solve emerging problems. Meanwhile, a variety of career opportunities are open to students with appropriate training in interdisciplinary data science.
Admission Requirements
The ability to communicate in English at a high level is necessary for success in the program. The admissions committee will be able to assess an applicant’s writing abilities through their academic achievement, standardized test results and written essay
Tuition fees
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.
Scholarship Applications: Frequently Asked Questions
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