The MRes Spatial Data Science and Visualisation is an interdisciplinary course designed to raise awareness of new task-specific techniques that have emerged as part of the online revolution.
CASA has been at the forefront of the changes that have impacted the way we share, communicate and distribute information, specifically information relating directly to geographic and spatial entities.
These changes have steadily emerged since the mid 1990s and it is clear that location and space now represent a third force in information technology besides more traditional computer and communication science.
These changes are reflected within the interlinked laboratory research-based student projects (specifically a group visualisation project and the MRes dissertation), with data collection focused on 'remote data mining' rather than field work in the traditional planning/geographical/architectural sense. Indeed, these research-led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions.
The course runs full time over 12 months starting in late September. A part-time option is available which is typically completed within two years, but can be spread over 5 through modular/flexible study. The taught element of the full-time course is usually delivered on two days per week, for part-time study this is limited to one day per week. All of our classes take place between 9am and 6pm. There are no evening or weekend classes to attend.
Part-time study is completed within two years. Students on this mode of study should aim to follow the study pattern below:
|Part-time Year One||Part-time Year Two|
|• CASA0013 Introduction to Programming for Spatial Analysts (15 credits, T1)||• CASA0005 Geographic Information Systems and Science (15 credits, T1)|
|• CASA0007 Quantitative Methods (15 credits, T1)||• CASA0006 Data Science for Spatial Systems (15 credits, T2)|
|• CASA0003 Digital Visualisation: Group Mini Project (T2 & 3, 30 credits)||• CASA0004 Dissertation|
• These students can take up to five years to gain 180 credits to complete the programme
• The student registers at the start of every academic year, and chooses (via Portico) which modules to study in that academic year. The action of making a module choice generates an invoice from the Fees Office.
• It is possible for a modular/flexible student to enrol onto the programme at the start of the academic year but decide not to take any modules in that year and defer study to another year. They will pay no fees for that year, but will remain an enrolled registered student of UCL.
Modular/flexible students must complete the module CASA007 before CASA0006.
They must also complete CASA0013 before CASA0003 and CASA0006.
All taught modules must be completed before completing the Dissertation.
NB: All Modular/Flexible students MUST re-enrol every autumn until they complete their studies, regardless of whether they intend to actively study that year or not. Student registration must remain current, otherwise it will be assumed the student has left the programme.