Urban Informatics
Postgraduate
In London
Description
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Type
Postgraduate
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Location
London
Entry requirements & how to apply
Minimum requirements 2:1
An Upper Second Class degree in Computer Science (or related disciplines). An Upper Second in a quantitative subject containing a substantial statistical component will be also be considered, or Geography where this includes a geocomputation component.
A Lower Second class degree, or degree in a different quantitative discipline (e.g. Pure Maths, Physics, Mathematical Economics, Mathematical Psychology) may be permitted if the candidate has subsequent work experience in large-scale data analysis of at least 2 years duration.
Candidates without First or Upper Second Class degree in Mathematical Statistics or Computer Science but having relevant post- graduate experience may be interviewed to assess their level of competency.
International requirements Visit our admissions webpages to view our International entry requirements.
English Language requirements Band D Visit our admissions webpages to view our English language entry requirements.
Application procedure
Applications must be made online using King’s online application portal apply.kcl.ac.uk and a non-refundable application fee of £60 applies.
Your application will be reviewed by an academic tutor and we aim to respond to applications within four weeks, although this may take longer during busy and holiday periods.
Personal statement and supporting information
You will be asked to submit the following documents in order for your application to be considered:
Personal Statement Yes Please submit a one page personal statement with your application, explaining why you wish to apply for this programme and why you feel it matches your interests, academic background, and, if relevant, your career plans. Please include transcripts of subjects taken in the relevant degrees and copies of all certificates and relevant qualifications mentioned in your application.
Facilities
Location
Start date
Start date
Reviews
Subjects
- International
- English
- Statistics
- Credit
- English Language
- Data Mining
- Data analysis
- Communication Training
- Programming
- Health
- Data scientists
- Network Data Analysis
- Urban Analytics
- Air Pollution Science
- Urban Mental Health
Course programme
Course detail Description
The first term provides foundation modules in core data science techniques, the theories underlying the study of cities, and ways to communicate analyses so as to affect policy- making. The second term focuses on data analysis for cities, providing insight into both spatial and network analysis as well as providing more depth on data mining techniques.
In term two you will also take a specialised module exploring one aspect of city life, such as air pollution or mental health, in real depth and detail. This provides a testbed for the analysis techniques learnt, enabling students to develop confidence and experience with handling urban data. In the summer term you will also engage in a substantive individual project – connected to our research interests – tackling one of a range of urban informatics topics.
Course format and assessmentTeaching
We use lectures and computer lab sessions to deliver most of the modules on the course. You will also be expected to undertake a significant amount of independent study.
You are expected to spend approximately 10 hours of work per credit for each module you attend in your degree, e.g. 150 hours work for a 15 credit module. These hours cover every aspect of the module: lectures, tutorials, independent study, coursework and preparation for examinations.
Typically, one credit equates to 10 hours of work.
AssessmentThe assessment for this degree is primarily through written reports, software-based data analyses, and written examinations. You may also be assessed by oral presentation, class tests, projects and data visualisation or infographics. The nature of assessment varies by module.
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Structure
Year 1
Courses are divided into modules. You will normally take modules totalling 180 credits
Required ModulesYou are required to take:
- Spatial Data Analysis (15 credits)
- Computer Programming for Data Scientists (15 credits)
- Data Mining (15 credits)
- Statistics for Data Analysis (15 credits)
- Telling Stories with Data (15 credits)
- Network Data Analysis (15 credits)
- Introduction to Urban Analytics (15 credits)
- Urban Informatics Individual Project (60 Credits)
In addition, you are also required to take 15 credits from a range of optional modules which may typically include:
- Air Pollution Science and Health (15 credits)
- Big Data in Urban Mental Health (15 credits)
King’s College London reviews the modules offered on a regular basis to provide up-to- date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.
Urban Informatics