语言要求雅思 6.5（W 6 / S 6 / L 6 / R 6） · 托福 92（W 24 / S 20 / L 20 / R 24） · 托福（新版） 4.5（W 4 / S 4 / L 4 / R 4） · PTE 75（W 67 / S 67 / L 67 / R 67）
就业方向初创公司、金融机构技术部门、软件开发商、科技公司、IT咨询
岗位分布算法工程师、产品经理、数据分析师、系统架构师、软件工程师
📚 课程设置（10 门）
课程10 门
空间数据库和数据管理Spatial Databases and Data Management
时空分析和数据挖掘Spatio-temporal Analysis and Data Mining
Web和移动GIS-应用程序和编程Web and Mobile GIS - Apps and Programming
信息检索和数据挖掘Information Retrieval & Data Mining
应用机器学习Applied Machine Learning
地理空间科学Geospatial Science
空间分析与地理计算Spatial Analysis and Geocomputation
地理空间规划Geospatial Programming
挖掘社会和地理数据集Mining Social and Geographic Datasets
城市模拟Urban Simulation
🎯 入学要求
官网给出的录取条件原文，含学校统一要求与该项目的附加要求；语言成绩的具体分数线请到项目官网核对。
A minimum of an upper second-class UK Bachelor’s degree in a relevant discipline (such as engineering, mathematics, computer science, environmental science, human or physical geography, geology, forestry, oceanography, or physics) or an overseas qualification of an equivalent standard. Applicants with relevant professional experience are also considered.
📖 项目简介
This specialist MSc will train you to extract insights from large amounts of data to discover patterns and knowledge from spatio-temporal data.
Teaching combines theory with extensive hands-on experience to cover the diverse facets of big data from the principles of spatio-temporal analysis and computation guided by statistical and machine learning techniques, to space time data, parallel computing, system design, social media analysis, text mining, and programming. You’ll apply your skills to real-world scenarios, to create models for social media listening, understand weather patterns, predict earthquakes, and determine global warming trends. You’ll also learn all about the ethical and social angles to big data that are needed in the working world. This bigger picture element will help you understand the context of your work, so you can go out and create and deliver projects that benefit both people and the planet.
On top of learning practical skills from programming languages R and Python and scientific writing, there’s a big emphasis on developing transferable skills. These include communication, project management, and critical thinking which, when coupled with your tech expertise, will make you highly sought after for roles in industries including data science, social media analysis, finance, health, telecoms, and urban planning.
以上为伦敦大学学院该项目官网项目页原文（英文），本站未做改写或补写。
✨ 项目特色
该项目官网「Unique Program Features」原文，说的是这个项目自身的特点（学制长短、资助、实践安排、认证等），不是学校层面的通用介绍。
Our course offers a combination of theory, practice, and innovation that will give you the strong technical and contextual foundation you need to progress into a big data career in industry, or to conduct further research.
Graduates from the course have gone on to work as data analysts, statisticians and programmers, among other roles, with employers such as UBS Global Investment Bank, SRK Consulting, Datacup, and Wegaw. Others go on to research positions in world-leading academic institutions, such as the University of Cambridge and Universidad del Azuay ( Graduate Outcomes survey carried out by the Higher Education Statistics Agency (HESA), looking at the destinations of graduates in the 2018–2024 cohorts ).
This course offers you the following benefits and opportunities:
A postgraduate degree from a top-ranked university. UCL is consistently ranked among the best universities globally (ranked joint #8 in the QS World University Rankings 2027), providing you with a prestigious qualification that is highly regarded by employers worldwide.
Work with expert academics and researchers in UCL Civil, Environmental and Geomatic Engineering , who specialise in different disciplines, including data science, cybercrime, computation, infrastructure, geospatial sciences, urban simulation, machine learning, and more.
Build a successful career in big data, supported by our close industry and research links. You’ll access exclusive seminars and exhibitions with industry leaders at UCL.
该项目为硕士 · 数据科学，官网介绍：This specialist MSc will train you to extract insights from large amounts of data to discover patterns and knowledge from spatio-temporal data.
伦敦大学学院时空分析与大数据挖掘理学硕士的学制是多久？
该校官网公布为 1年（全日制）。
伦敦大学学院时空分析与大数据挖掘理学硕士的学费是多少？
44400英镑/年，为该校官网公布的项目学费。
伦敦大学学院时空分析与大数据挖掘理学硕士什么时候入学？
该校官网公布 9月 入学。
伦敦大学学院时空分析与大数据挖掘理学硕士的语言成绩要求是什么？
雅思 6.5（W 6 / S 6 / L 6 / R 6） · 托福 92（W 24 / S 20 / L 20 / R 24） · 托福（新版） 4.5（W 4 / S 4 / L 4 / R 4） · PTE 75（W 67 / S 67 / L 67 / R 67）。
伦敦大学学院时空分析与大数据挖掘理学硕士的入学要求是什么？
A minimum of an upper second-class UK Bachelor’s degree in a relevant discipline (such as engineering, mathematics, computer science, environmental science, human or physical geography, geology, forestry, oceanography, or physics) or an ove…