项目背景
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更新时间:2024-10-25
开学时间9月
课程学制1年
学费36500.00/GBP
专业介绍
The MSc Emerging Digital Technologies at UCL merges technology and the management of technology. Students will develop hands-on skills in areas such as data science, blockchain technologies and information management systems, which will prepare them for careers in emerging technology-centric roles in complex business environments.As a student on the MSc Emerging Digital Technologies, you will develop a comprehensive knowledge of a wide range of emerging technologies and how to apply them. You will gain an understanding of their limitations and current boundaries as well as their opportunities and risks. This is supplemented with business strategies and management knowledge on how you can effectively deploy these technologies to innovate within the business environments.Programming experience in a language such as Python, C++ or MATLAB is an advantage but is not mandatory. Some programming experience means that you have experience of working on projects deploying code or have taken modules/assessments in your previous education with coding components. If you do not have this knowledge, there will be tutorials offered at the beginning of the programme, but you will be expected to get up to speed rapidly. A self-assessment test will be available to determine if you will need additional support for coding. A good knowledge of linear algebra, statistics and probability theory will be assumed. Relevant work experience will also be taken into account. Examples of relevant work experience include roles that require working with, applying and understanding digital technologies in roles such as product management, development, management and operations.
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语言要求
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总分
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学术要求
专业领域:计算机科学,数学,统计学,物理,工程及其他计量类专业。
先修科目:线性代数,统计学及概率科目+建议Python, C++ or Matlab科目。
课程设置
Compulsory modules:必修模块
Data Science: 数据科学
Blockchain Technologies: 区块链技术
Digital Technologies and Business Strategy: 数字技术与商业战略
MSc Emerging Digital Technologies Project: MSc新兴数字技术项目
Database Fundamentals: 数据库基础
Optional modules: 可选模块
Entrepreneurship Theory and Practice: 创业理论与实践
Networks and Systemic Risk: 网络与系统性风险
Algorithmic Trading: 算法交易
Computer Security I: 计算机安全I
Introduction to Machine Learning: 机器学习简介
Advanced Machine Learning in Finance: 金融高级机器学习
Digital Finance: 数字金融
Innovation and Strategy in Finance: 金融创新与战略
Applied Deep Learning: 应用深度学习
Policy and Regulation for Financial Technology: 金融技术政策与监管
Software Engineering and Product Management in Financial Technology: 金融技术中的软件工程与产品管理
Security and Privacy: 安全和隐私