• Goldsmiths, University of London Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • University of Southampton Featured Masters Courses
  • Ross University School of Veterinary Medicine Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Anglia Ruskin University Featured Masters Courses
University of Manchester Featured Masters Courses
Nottingham Trent University Featured Masters Courses
FindA University Ltd Featured Masters Courses
Bocconi University Featured Masters Courses
FindA University Ltd Featured Masters Courses

Course content

The Spatial Data Science and Visualisation MRes 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 students in one of the most exciting, interdisciplinary research teams in the field, within The Bartlett, UCL’s Faculty of the Built Environment.

Degree information

Students gain a grounding in the principles and skills of spatial research, data analysis and visualisation and virtual environments, and develop an understanding of research methodology and methods of data collection and analysis. Subject-specific courses provide students with the opportunity to develop skills in spatial analysis and to contribute to current debates in the field.

The programme consists of four core modules (60 credits), a group mini-project (30 credits) and a research dissertation (90 credits). There are no optional modules on this programme.

Core modules
-Data Science for Spatial Systems
-Geographic Information Systems and Science
-Introduction to Programming
-Quantitative Methods
-Group Mini Project: Digital Visualisation
-Dissertation

Teaching and learning
The programme is delivered through a combination of lectures, seminars, tutorials and practical based workshops and classes. The interlinked laboratory research-based mini project with data collection focuses on ‘remote data mining’ rather than fieldwork in the traditional planning/geographical/architectural sense. Assessment is through group and individual projects and the dissertation.

Careers

Research led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions. Vast amounts of previously unused data are becoming available either from changes in accessibility, due to the nature of the network and cloud based computing, changing national data policies or more widely as a result of new mass data collection methodologies.

Employability
The Spatial Data Science and Visualisation MRes offers a unique skillset in computation mapping, visualisation and spatial research, with recent graduates working at Ordnance Survey and the BBC, as well as a number continuing to PhDs. Through PhD partners, Knowledge Transfer Partnerships and substantial outreach, CASA is well-connected to the world outside academia.

Why study this degree at UCL?

The Centre for Advanced Spatial Analysis (CASA) is a research centre specialising in computer-based methods such as GIS, urban simulation, mapping, data visualisation, and and 3D environments in cities and space.

Graduates from our programme will have been exposed to a range of programming languages (Processing, R, Python and MySQL), 3D visualisation packages, and a substantive grounding in GIS, programming structure, mathematical methods and data design.

This combination of skills is unique – graduates from this programme will be leading the institutions and companies in new directions and changing cultures across the sector.

Visit the Spatial Data Science and Visualisation - MRes page on the University College London website for more details!

Loading...

Loading...

Loading...

Loading...


Enquire About This Course

Recipient: University College London

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully




Cookie Policy    X