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/ 伯明翰大学Responsible Data Science专业
项目背景
`更新时间:2024-09-23
专业介绍
Artificial Intelligence and data-driven approaches to decision-making are rapidly transforming almost every industry and policy sector in the world. These technologies have already generated extraordinary benefits. However, they bring with them new threats and challenges, creating many questions about the limits of their responsible use.
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语言要求
类型
雅思
托福
PTE
Listen
6
20
64
Speak
6
22
64
Read
6
21
64
Write
6
21
64
总分
6.5
88
67
学术要求
法律，或等同的职业经历。
先修科目：A水准的数学科目且成绩达到A。
课程设置
Summer Maths Bootcamp ：夏季数学训练营
Programming for data science ：数据科学编程
Algorithms for data science ：数据科学算法
Storing and managing data ：存储和管理数据
Regulating Technology ：调节技术
Contemporary Case Studies in the Governance of Complex Socio-technical Systems ：复杂社会技术系统治理中的当代案例研究
Group project：小组项目
Data Visualisation (Optional) ：数据可视化 (可选)
Summer project ：夏季项目
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