伦敦大学皇家霍洛威学院在IndustryMSc学习一年的数据科学和分析专业 项目网站

Data Science and Analytics with a Year in Industry

英国 公立

项目背景

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更新时间:2024-01-15

专业排名301

大学伦敦大学皇家霍洛威学院

开学时间9月

课程学制2年

学费27100.00/GBP

专业介绍

The importance of Big Data grows year on year, with sectors including healthcare, manufacture, retail, administration and more reliant on the insights that accurate data capture and analysis can provide. Study Data Science and Analytics at Royal Holloway, University of London and you’ll develop the practical skills needed to handle and analyse data in a wide variety of fields, preparing you for a rewarding career in Big Data. You’ll study in a department with a strong reputation for research excellence. The Department of Computer Science was ranked 11th in the UK for the quality of its research publications (Research Excellence Framework 2014), and you’ll have the opportunity to contribute to this leading research culture with your own Individual Project. This flexible programme gives you the chance to tailor your learning to your own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics and Microeconometrics providing scope and variety. You’ll be well-equipped to continue your studies at PhD level, which will place you in a strong position to pursue more advanced, research-based roles after graduation.

推荐顾问

世界排名

2020年

301

2019年

251

2018年

251

2017年

251

语言要求

类型
雅思
托福
PTE
Listen
5.5
17
51
Speak
5.5
20
51
Read
5.5
18
51
Write
5.5
17
54
总分
6.5
88
61

学术要求

相关专业(如计算机科学,经济,数学,物理)+含足够的数学及计算科目

课程设置

Data Analysis:数据分析 Computation with Data:用数据计算 Databases:数据库 Large-scale Data Storage and Processing :大规模数据存储和处理 Ethics in Advanced Computing and Artificial Intelligence:高级计算和人工智能中的伦理学 Machine Learning:机器学习 Methods of Computational Finance:计算金融方法 Software Verification:软件验证 Advanced Data Communications:高级数据通信 Digital Audio and Applications:数字音频和应用 Intelligent Agents and Multi-Agent Systems:智能代理和多代理系统 Semantic Web:语义网 Internet and Web Technologies:互联网和网络技术 Online Machine Learning:在线机器学习 Service-oriented Computing Technology and Management:面向服务的计算技术与管理 Business Intelligence:商业智能 Business Intelligence Systems, Infrastructures and Technologies:商业智能系统、基础设施和技术 Computational Optimisation:计算优化 Methods of Bioinformatics:生物信息学方法 Visualisation and Exploratory AnalysisMacro and financial econometrics:可视化和探索性分析宏观和金融计量经济学 Investment and Portfolio Management:投资和投资组合管理 Fixed Income Securities and Derivatives:固定收益证券和衍生品 Microeconometrics:微观计量经济学

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