国际学生入学条件
A UK 2:1 honours degree or its international equivalent, in a relevant discipline.
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We welcome applications from students with a strong background in the social sciences as well as those coming from a background in statistics, data science, and computer science. Applicants who do not have this relevant background will receive consideration on the merits of their personal statement and other relevant experience.
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IDP—雅思考试联合主办方

雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:PTE Academic: total 70 with at least 59 in each component.
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
该计划将为您提供对数字社会和数字文化的社会学研究的严格介绍。该程序将向您介绍社会学家调查数字技术,数字基础结构以及日常生活中数据产生,捕获和分析的日益普及时出现的核心理论和方法问题。它还将使您研究引起此类技术及其权力循环的社会条件(经济,政治和文化)。该课程的学生可以学习以下专业主题,包括(但不限于)数字技术的社会学分析和当代文化,工作和劳动,休闲,健康,教育,政府和法律等领域的新数据形式和金融。虽然此计划主要适合于具有社会科学背景的人士,但数字社会理学硕士课程面向想要了解,学习,分析和批判数字技术以及其
UK’s top ranked sociology department_x000D_ Our sociology department is the UK’s top-ranked department for sociological research. [REF 2021]_x000D_ The MSc in Digital Sociology directly responds to a growing need for graduates to be able to study and analyse a world that continues to undergo rapid digital transformation._x000D_ Digital and computational sociology courses provide a vital theoretical foundation for understanding and analysing how digital technologies and data are shaping our social institutions, social relations, and everyday life. Our courses will enable you to conduct sociological research through new forms of social data, such as social media data and other types of ’digital trace’ data that are so central to modern social science data._x000D_ This programme is intended for any student who wants to understand, as well as learn to study and critique, digital technologies and the complex ways in which they shape society, social institutions, and culture. While a sociological background is not strictly required, familiarity with the social sciences will be helpful for incoming students._x000D_ What will I learn_x000D_ This programme will provide you with a rigorous introduction to sociological research in the digital age._x000D_ The programme combines training in ’traditional approaches’ to sociology with new theory and methods for understanding the digital world. We will study, for example, foundational questions in inequality, demography, and labour research with an emphasis on how the digital transformation has shifted our understandings._x000D_ On this programme, you may take up the following specialised topics, including (but not limited to):_x000D_ work and labour_x000D_ inequality_x000D_ mobility_x000D_ relationships_x000D_ government and law_x000D_ technology_x000D_ Digital Sociology with Social Data Science pathway_x000D_ Beginning in the 202526 academic year, students wishing to specialise in computational methods for analysing digital society can choose to transition to a dedicated Social Data Science pathway during their first semester. Academic staff will provide guidance on the skills required for pathway courses. Students who complete 60 credits of computational methods courses (computational sociology, computational text analysis, and social network analysis) will receive the MSc in Digital Sociology with Social Data Science. Students joining the pathway are also expected to use these methods in their dissertation._x000D_ How will I learn_x000D_ The degree combines lectures and seminar teaching on specific topics with individual research supervision by leading researchers in the emerging field of digital sociology._x000D_ This programme takes a unique approach to methods and methodologies, putting ’traditional’ sociological methods such as ethnography, survey work, and interviewing in conversation with science techniques._x000D_ Who is this programme for_x000D_ While this programme will be primarily suitable for those with a background in the social sciences, the MSc in Digital Sociology is intended for anyone who wants to undertake specialised training in sociological approaches for understanding the digital world._x000D_ The Digital Sociology with Social Data Science pathway is suitable for students with some prior experience with statistics andor statistical programming, or a strong motivation to acquire these skills.
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