布里斯托大学Geographic Data Science and Spatial Analytics专业 项目网站

Geographic Data Science and Spatial Analytics

英国 公立 科学

项目背景

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更新时间:2024-09-20

专业排名51

大学布里斯托大学

开学时间9月

课程学制1年

学费31700.00/GBP

专业介绍

Are you passionate about using data and analytics to improve cities and solve spatial problems? The MSc in Geographic Data Science and Spatial Analytics will help you achieve your ambitions. You will learn how to utilise cutting edge tools and methods from data science to analyse spatial data in order to tackle challenges spanning across various spatial scales: from neighbourhoods and cities to regions and supra-national systems. Whether your background is in Geography, Planning and, more broadly, Social Sciences or in numerate sciences such as Computer Science and Engineering this programme will help you succeed in the dynamic fields of Geographic Data Science and Spatial Analytics. You will master data science and machine learning algorithms, tools, and data structures and apply them to understand the core theories and concepts in urban analytics and city science. You will be able to employ cartographic and geographic theory and concepts to map and model big geographic data. You will understand the main engineering concepts and principles around scientific computing and data infrastructure and use them to model smart cities and urban digital infrastructure. The MSc in Geographic Data Science and Spatial Analytics builds upon the Quantitative Spatial Science (QuSS) research group within the School of Geographical Sciences and its longstanding history and excellence in quantitative geography and spatial analysis.

推荐顾问

世界排名

2020年

51

2019年

51

2018年

101

2017年

101

语言要求

类型
雅思
托福
PTE
Listen
6.5
21
67
Speak
6.5
23
67
Read
6.5
22
67
Write
6.5
22
67
总分
6.5
88
67

学术要求

专业领域:任何专业。

科目:本科最后两年学过下列至少1门科目且均分达到60%。

应用统计学/数学/机器学习/数据挖掘/计量地理/Python or R/数据科学。

课程设置

Mandatory 必修 Dissertation: MSc Geographic Data Science and Spatial Analytics:学位论文: 地理数据科学与空间分析理学硕士 Urban Analytics and City Science:城市分析与城市科学 Data Science and Machine Learning in Geography:地理学中的数据科学和机器学习 Introduction to Scientific Computing:科学计算导论 Geographic Information Retrieval and Integration:地理信息检索与集成 Optional 选修 Qualitative Research Methods in Human Geography:人文地理学中的定性研究方法 An Introduction to GIS and Remote Sensing for Environmental Policy and Management:GIS和遥感技术用于环境政策和管理的简介 Quantifying Climate Risks:量化气候风险 Geographic Information Retrieval and Integration:地理信息检索与集成 Mapping and Modelling Geographic Data in R:在R中映射和建模地理数据