伦敦大学学院能源系统和数据分析专业 项目网站

Energy Systems and Data Analytics (ESDA)

英国 公立

项目背景

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更新时间:2024-01-10

专业排名17

大学伦敦大学学院

开学时间9月

课程学制1年

学费34400.00/GBP

专业介绍

Energy Systems and Data Analytics MSc provides an academically leading and industrially relevant study of energy systems through the lens of data analytics. Advanced analytics, fuelled by big data and massive computational power, has the potential to transform how energy systems are designed, operated and maintained. You will gain the skills and knowledge to unlock the transformative potential of big energy data, and understand how it can reshape the energy sector.You will gain a broad understanding of energy systems as a whole, covering supply and demand, the interconnectedness and dependencies between different sectors and a multi-vector multi-sector approach to analysis. You will learn about the theory and practice of data analysis, deploying machine learning and statistics and will gain practical experience of the challenges of working with different data sets relating to energy throughout the programme and modules.

推荐顾问

世界排名

2020年

17

2019年

23

2018年

32

2017年

37

语言要求

类型
雅思
托福
PTE
Listen
6.5
20
75
Speak
6.5
20
75
Read
6.5
24
75
Write
6.5
24
75
总分
7
100
76

学术要求

计量类专业+对能源感兴趣并希望利用数据科学解决可持续发展问题。

课程设置

Compulsory modules:必修模块 Energy Systems: 能源系统 Energy Data Analysis: 能源数据分析 Statistics for Energy Analytics: 能源分析统计 Energy Data Analytics in the Built Environment: 建筑环境中的能源数据分析 Energy and Transport Analytics: 能源和运输分析 Dissertation Energy Systems and Data Analytics: 论文能源系统和数据分析 Spatial Analysis of Energy Data: 能源数据空间分析 Advanced Machine Learning for Energy Systems: 高级机器学习能源系统 Optional modules: 可选模块 UK Energy and Environment Policy and Law: 英国能源与环境政策与法律 Energy Technology and Innovation: 能源技术与创新 Systems Thinking and System Dynamics: 系统思维与系统动力学 Eco Innovation and Sustainable Entrepreneurship: 生态创新与可持续创业 Econometrics of Energy Markets: 能源市场计量经济学 Advanced Machine Learning for Energy Systems: 能源系统高级机器学习

申请案例

学生姓名:王**

毕业学校:中南财经政法大学

本科专业:应用统计学

基本背景: 四年级/GPA89.91/100/雅思7

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