關於課程
This course will develop your skills in analysing big data sets so that you can transform the information into actionable knowledge.
This course is designed for students with a numerate background (for example a first degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry.
The course focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills that are required to carry out practical analysis of the types of data sets that need to be interpreted in the modern world. These include large data sets as well as structured and unstructured data.
The course makes use of techniques developed within a range of disciplines, including computer science, artificial intelligence, mathematics and statistics.
This course is designed for students with a numerate background (for example a first degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry.
The course focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills that are required to carry out practical analysis of the types of data sets that need to be interpreted in the modern world. These include large data sets as well as structured and unstructured data.
The course makes use of techniques developed within a range of disciplines, including computer science, artificial intelligence, mathematics and statistics.
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開始日期及學費
如何申請
Entry requirements for 雪菲爾大學
Minimum 2:1 undergraduate honours degree in a numerate discipline, such as computer science, mathematics, economics, engineering, physics or chemistry. Some previous programming experience is essential.
IELTS - Overall score of 6.5 with a minimum of 6.0 in each component
TOEFL - Overall score of 88 with a minimum of 19 in Listening, 20 in Reading, 22 in Speaking and 19 in Writing
English language requirements
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