数据科学（地理空间）

课程介绍

莱斯特大学地理空间数据科学硕士课程是一门跨学科前沿项目，专注于培养学生利用空间数据的独特特性（位置、距离和空间交互）来分析和理解事物发生的地点、时间和原因。课程结合多种数据类型和来源，教授学生使用R、Python、ArcGIS及机器学习等专业方法和软件处理地理空间数据。该课程由地理、地质与环境学院开设，充分利用英国在地理信息科学领域的领先优势。对于中国学生而言，随着国内智慧城市建设、国土空间规划、自然资源管理等领域的快速发展，地理空间数据分析人才需求旺盛，本课程将为学生提供国际化视野和前沿技术能力，助力职业发展。

英文原文

Course description The interdisciplinary MSc in Data Science (Geospatial) trains students in Data Science with an emphasis on using the unique characteristics of spatial data (location, distance and spatial interactions) to understand where, when and why things happen. Using a wide range of data types and sources, you will learn how to leverage geospatial data using specialised methods and software (including, but not limited to: R, Python, ArcGIS and machine learning) to better understand the place-based contexts of social, economic and environmental phenomena. The uptake, use, and comme

为什么选择莱斯特？

Accessible to students without a strong computing or mathematical background. Transferable data science skills are explicitly taught and developed within strong disciplinary and vocational contexts. Students taking the ‘with industry’ version of the degree can seek placements with a range of commercial organisations associated with environmental

教学方式

The course is taught using a range of methods including lectures, seminars, practical classes and workshops, tutorials, project supervision and fieldwork. It includes a blend of assessment including traditional (essays and examinations) and authentic (e.g. problem based tasks based on real-world sce