爱丁堡大学Data, Inequality and Society专业 项目网站

Data, Inequality and Society

英国 公立 社科

项目背景

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更新时间:2024-01-15

专业排名35

大学爱丁堡大学

开学时间9月

课程学制1年

学费28800.00/GBP

专业介绍

This programme is part of an interconnected portfolio of postgraduate study in the Edinburgh Futures Institute (EFI). EFI supports interdisciplinary teaching, learning and research that is focussed on complex global and social challenges. Our programmes are all taught by academic experts from many different subject areas, and as an EFI student you will develop creative, critical and data-informed thinking that cuts across traditional disciplinary boundaries. You will have the space to think deeply about questions linked to your own passions and professional goals, and will develop a project based on an issue that you care about. As well as knowledge specific to your area of study, studying at EFI will give you the skills and understanding you need to become a creative, confident and critical citizen in a fast-changing world. These will include core data skills, data ethics, the ability to interrogate issues of global scope, and the creative and analytic approaches to knowledge that are vital for building better futures. You can join us regardless of whether you already have skills in the use and application of digital data.

推荐顾问

世界排名

2020年

35

2019年

33

2018年

25

2017年

19

语言要求

类型
雅思
托福
PTE
Listen
6.5
23
62
Speak
6.5
23
62
Read
6.5
23
62
Write
6.5
23
62
总分
7
100
70

学术要求

任何专业

课程设置

Compulsory couses 必修课 Exclusion and Inequality:排斥与不平等 Inclusive Society: 包容性社会 Interdisciplinary Futures: 跨学科期货 Ethical Data Futures: 道德数据期货 Knowledge Integration and Project Planning Data Inequality and Society: 知识整合与项目规划数据不平等与社会 Futures Project Data Inequality and Society: 期货项目数据不平等与社会 Optional courses 选修课 Text Remix: 文本混音 Insights Through Data: 通过数据洞察 Representing Data: 代表数据 Building Near Futures: 建筑近未来 Data Science for Society: 社会的数据科学 Coloniality of Data: 数据的殖民性 Migration and Forced Displacement in a Digital Age: 数字时代的迁移和强迫流离失所 Power Data and Inequality in Value Chains: 电力数据和价值链中的不平等 Work Futures: 工作未来