- 專業(yè)概況
- 所屬院系
- 中國學(xué)生入學(xué)要求
- 課程信息
專業(yè)概況
在這里學(xué)什么？
The Spatial Data Science and Visualisation MSc teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Students carry out their own research project, supported by academics, researchers and other students in one of the most exciting, interdisciplinary research teams in the field. The programme takes place within The Bartlett, UCL's Faculty of the Built Environment. Students gain a grounding in the principles and skills of spatial research, data analysis and visualisation, agent-based models and virtual environments, and develop an understanding of research methodology for data collection and analysis. Subject-specific modules provide students with the opportunity to develop skills in spatial analysis and to contribute to current debates in the field. They will learn programming skills in Java/Processing, Python, R, JavaScript and SQL, and the ability to use a range of interactive geospatial and visualisation tools (ArcGIS, Unity, Mapbox and CityEngine).
Careers
Recent graduates of our related Spatial Data Science and Visualisation MRes have gone on to work as developers, in spatial analysis, and a number have continued to PhDs. Through our PhD partners, Knowledge Transfer Partnerships and substantial outreach, graduates will be able to take advantage of CASA's links to the world outside academia.
Employability
The Spatial Data Science and Visualisation MSc provides a unique skill set in computation mapping, visualisation and spatial research. Research-led skills are increasingly a key element in our understanding of complex spatial functions, particularly as vast amounts of previously unused data are becoming available either from changes in accessibility regulation or more widely as a result of new mass data collection methodologies.
所屬院系
進(jìn)入哪個院系學(xué)習(xí)？ Built Environment
中國學(xué)生入學(xué)要求
為來自中國的學(xué)生設(shè)計 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.
課程信息
學(xué)制：全日制(1 年)
學(xué)費(fèi)：￡31,200.00 (￥ 281,733) /年
開學(xué)時間：2022九月27日
申請截止日期：
留學(xué)地點：UCL (University College London)Gower Street,London,Camden,WC1E 6BT, England
滬ICP備18048269號-1 
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