What is the MRes in Spatial Data Science and Visualisation?
The MRes in Spatial Data Science and Visualisation 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 multi-disciplinary Faculty of the Built Environment.
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.
What is an MRes?
An MRes is a Master of Research. MRes degrees are less focussed on taught courses than a traditional MSc or MA, and instead allow students to carry out a research project that acts as a demonstration of independent thought, creativity and innovation for those wanting to study further, or as a calling card for those moving into industry.
The programme consists of four core modules (60 credits), a group mini-project (30 credits) and a research dissertation (90 credits).
- Data Science for Spatial Systems (15 credits)
- Geographic Information Systems and Science (15 credits)
- Introduction to Programming (15 credits)
- Quantitative Methods (15 credits)
- Group Mini Project: Digital Visualisation (30 credits)
- Dissertation (90 credits)
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.