国际学生入学条件
A UK 2:1 honours degree, or its international equivalent, in computer science, informatics, artificial intelligence, physics, engineering, psychology, philosophy, linguistics, or neuroscience.
Your application should show evidence of solid computer programming skills in a programming language, HTML and web design do not count, but relevant mathematical and statistical scripting languages such as R and Matlab do. This evidence can be either a certificate in a relevant MOOC, or a course in programming that you have successfully passed. If your degree involves a final project, your mark in that project should be a B or higher.
Your personal statement should discuss why you are interested in the programme, as outlined above and on the Centre for Design Informatics web site, your background or interest in design, art, and information visualisation, and your relevant programming skills.
IELTS: total 7.0 (at least 6.0 in each module)
TOEFL-iBT (including Special Home Edition): total 100 (at least 20 in each module). We do not accept TOEFL MyBest Score to meet our English language requirements
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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:CAE and CPE: total 185 (at least 169 in each module)
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
设计信息学将数据科学与设计思维结合在一起,以进行严格的询问和推测。通过将理论和研究与开放式制作和黑客入侵过程相结合,我们在数据与社会之间的界面上构建了一种价值意识的反思性实践。中心前提是数据是设计的媒介:通过塑造数据,我们塑造了周围的世界。数据科学为此提供了基础,而设计思维则通过设计来支持反思性研究。您将在与物联网和物理计算,机器学习,语音和语言技术,可用的隐私和安全性,数据伦理,区块链技术结合使用时使用它。您将通过案例研究,个人和协作项目,将技术与社会,健康,建筑,时尚,生物设计,工艺,金融,旅游以及其
Design informatics combines data science with design thinking in a context of critical enquiry to create compelling and meaningful new data-driven experiences, products and services.<br><br>The central premise of design informatics is that data is a medium for design: by shaping data, we shape the world around us. Data science provides the groundwork for this, with design thinking underpinning reflective research through design.<br><br>Our programme focuses on providing foundational skills on the integration of design thinking and data science with an emphasis on exploring the role of data-driven technologies in society and the potential of such technologies to be a social good. Students are supported to develop an ethically aware, critically reflective technical practice at the interface between data and society by combining theory and research with an open-ended process of making and hacking.<br><br>The programme will provide foundational and advanced knowledge in:<br><br>Fundamentals of data science and its integration into design processes<br>Methods of user research, end user co-design and speculative design<br>Programming for data visualisation, data physicalisation, physical computing and responsive materials<br>Data ethics and its application in research and practice<br>You will connect data-driven technology with contexts and domains, such as:<br><br>Societal challenges and sustainable development goals<br>Health and care<br>Fashion<br>Finance<br>Urban spaces and smart cities.<br><br>Career opportunities<br>This degree will put you at the cutting edge of the intersection between data science, design, and information technology.<br><br>This will open a host of opportunities in working with companies, charities, and the public sector. We encourage entrepreneurship.<br><br>For those who wish to deepen their research practice, the course provides a solid foundation for a PhD in related areas.
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