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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.
Program 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
3 Years
Aug
Tuition Fee and Scholarships
Domestic Students
16,028 USD
-
International Students
71,077 USD
-
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Data Science
Duke Kunshan University, Kunshan, China (Mainland)
36 monthsProgram duration
71,077 USDTuition Fee/year
YesScholarships
Library and Information ManagementMain Subject Area
Program 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.
Program 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
Tuition Fee and Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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