PhD Data, Organisations and Society
  • 学历文凭

    Ph.D.

  • 专业院系

    信息系统

  • 开学时间

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国际学生入学条件

A minimum of a 2-1 first degree in a relevant discipline subject area with a minimum 60 percent mark in the project element or equivalent with a minimum 60 percent overall module average.
In the event of a first degree classification of less than 2-1 a Masters Degree in a relevant subject area will be considered as an equivalent.
The Masters must have been attained with minimum overall marks at merit level 60 percent In addition the dissertation or equivalent element in the Masters must also have been attained with a minimum mark of merit level 60 percent.
Or higher where stipulated against a specific opportunity.
At the point of application international applicants are required to demonstrate their English language proficiency through the attainment of or booking of an approved English language test The tests accepted for admission to a research degree at Coventry University are.
IELTS Academic IELTS for UKVI Academic demonstrating an overall score of 7.0 or above with a minimum of 6.5 in each of the four sections.
TOEFL iBT TOEFL iBT Special Home Edition Online demonstrating an overall score of 95 or higher with no section below 21.
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雅思考试总分

7.0

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  • 雅思总分:7
  • 托福网考总分:0
  • 托福笔试总分:0
  • 其他语言考试:NA
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课程简介

Data, Organisations and Society is a research cluster within the Centre for Business in Society. The exponential increase in data availability in the last decade has led to a digital universe that doubles every two years. Data and data analytics have become the foundations of disruptive change in a networked business environment. Every aspect of society, from the workplace to the marketplace, to the way people live, communicate and learn, is being transformed by the acquisition and analysis of data and their transformation into actionable insight.<br><br>However, there are also challenges embedded in the processes of data-driven decision making. The implications of big data's size and relevance, where it comes from, and the timeliness of data collection and analysis processes, are only beginning to be understood. Organisations must move quickly to understand those processes and adapt. Citizens need to play a more active role in the process of sharing their data, so they have a clearer appreciation of the privacy implications and are better able to benefit from the results. The ability of the public sector, government bodies, community organisations and the popular news media to balance the advantages and disadvantages of data collection, analysis and the resulting decision making, also needs to be developed.
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