• 专业概况
• 所属院系
• 中国学生入学要求
• 课程信息

专业概况

在这里学什么？

With the rapid development of smart sensors, smartphones and social media, 'big' data is ubiquitous. This MSc teaches the foundations of GIScience, databases, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets. Students will be equipped with computational foundations and skills needed for big data analytics including visualisation, prediction, clustering and simulation with statistical and machine learning approaches, as well as retrieving and mining big (open) data, web services and cloud computing, web and mobile applications, all by practising with real case data and open software.

Careers

Graduates from this programme are expected to find positions in consultancy, local government, public industry, and the information supply industry, as well as in continued research. Possible career paths could include: data scientist in the social media, finance, health, telecoms, retail or construction and planning industries; developer of spatial tools and specialised spatial software; researcher or entrepreneur.

Employability

Graduates will be equipped with essential principles and technical skills in managing, modelling, spatial and spatial-temporal analysis, visualising and simulating 'big' spatio-temporal data, with emphasis on real development skills including: Java, JavaScript, Python and R, Business Intelligence (BI) skills will also be taught via practical case studies and close collaborations with leading industrial companies and institutions. All these skills are highly valued in big data analysis.

Optional qualifications

This degree is also available as a PG Diploma with fees set accordingly.

所属院系

进入哪个院系学习？ Engineering Sciences

中国学生入学要求

为来自中国的学生设计 Students need to have Bachelor's degree with a minimum overall average mark of 85% for courses requiring Upper second-class (2:1) degree. For courses requiring Lower second-class (2:2) degree, they need to have a minimum overall average mark of 80%. Some programmes / departments will require higher marks.

课程信息

学制：全日制(1 年)

学费：£31,200.00 (¥ 281,733) /年

开学时间：2022九月27日

申请截止日期：

留学地点：UCL (University College London)Gower Street,London,Camden,WC1E 6BT, England